35 Machine Learning jobs in London
Senior Analyst, Machine Learning
London, London
SitusAMC
Posted today
Job Viewed
Job Description
SitusAMC is where the best and most passionate people come to transform our client's businesses and their own careers. Whether you're a real estate veteran, a passionate technologist, or looking to get your start, join us as we work together to realize opportunities for everyone, we proudly serve.
At SitusAMC, we are looking to match your unique experience with one of our amazing careers, so that we can help you realize your potential and career growth within the Real Estate Industry. If you are someone who can be yourself, advocate for others, stay nimble, dream big, own every outcome, and think global but act local - come join our team!
Essential Job Functions:
+ Provide innovative solutions for problems in commercial real estate using generative AI and other machine learning algorithms
+ Use large language models (LLMs) to analyze various commercial real estate data sets, including large sets of financial documents and commercial real estate market data
+ Engineer and tune LLM prompts, and perform automatic and manual evaluations of LLM outputs
+ Apply machine learning algorithms to find patterns in financial data sets, especially time series, related to commercial real estate
+ Translate business problems and requirements into tasks that can be solved with generative AI, machine learning, or other algorithmic solutions
+ Process structured and unstructured data for generative AI use cases
+ Collaborate with engineering and product development teams
+ Following experimentation and model selection and validation, implement the solution using production-ready Python code
+ Contribute to the full software development lifecycle, including requirements gathering, design, development, testing, deployment, and maintenance of machine learning solutions
+ Monitor model performance post-deployment and iterate based on feedback
+ Communicate with, and present results to, colleagues and stakeholders
+ Present information using data visualization techniques
Qualifications/Requirements:
+ A master's degree (or equivalent) in a numerate discipline such as Statistics, Machine Learning, Computer Science, Engineering, or Physics. A doctorate is a plus but not required
+ Mid-level professional with 2-4 years of ML/AI experience, typically at an Analyst level role or external equivalent
+ A scientific approach to solving problems, an analytical mind, and experience in applied machine learning and generative AI
+ Experience in applying LLMs to analyze text documents, prompt engineering, and manual and automatic evaluation of LLM outputs
+ Good foundational knowledge of standard machine learning algorithms and statistical methods
+ Proficient in python and its standard data science and ML libraries (e.g., numpy, pandas, scikit-learn, boosting and data visualization libraries)
+ Practical experience in data processing and feature engineering for machine learning applications
+ Ability to write robust production-ready Python code
+ Good communication and presentation skills
+ Experience in commercial real estate is a plus
#LI-Onsite #LI-AS1
**Note: This job description is not intended to be all inclusive or exclusive. At any time, employees may perform other related duties as required to meet the ongoing needs of the organization and participate in additional trainings. SitusAMC does not accept unsolicited resumes from staffing agencies, search firms or any third parties. Any unsolicited resume submitted to SitusAMC in any manner will be considered SitusAMC property, and SitusAMC will not pay a fee for any placement resulting from the receipt of an unsolicited resume.**
Specific compensation is determined through interviews and a review of relevant education, experience, training, skills, geographic location and alignment with market data. Additionally, certain positions may be eligible to receive a discretionary bonus as determined by bonus program guidelines, position eligibility and SitusAMC Senior Management approval.
SitusAMC offers a comprehensive and competitive benefits plan.
SitusAMC is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
At SitusAMC, we are looking to match your unique experience with one of our amazing careers, so that we can help you realize your potential and career growth within the Real Estate Industry. If you are someone who can be yourself, advocate for others, stay nimble, dream big, own every outcome, and think global but act local - come join our team!
Essential Job Functions:
+ Provide innovative solutions for problems in commercial real estate using generative AI and other machine learning algorithms
+ Use large language models (LLMs) to analyze various commercial real estate data sets, including large sets of financial documents and commercial real estate market data
+ Engineer and tune LLM prompts, and perform automatic and manual evaluations of LLM outputs
+ Apply machine learning algorithms to find patterns in financial data sets, especially time series, related to commercial real estate
+ Translate business problems and requirements into tasks that can be solved with generative AI, machine learning, or other algorithmic solutions
+ Process structured and unstructured data for generative AI use cases
+ Collaborate with engineering and product development teams
+ Following experimentation and model selection and validation, implement the solution using production-ready Python code
+ Contribute to the full software development lifecycle, including requirements gathering, design, development, testing, deployment, and maintenance of machine learning solutions
+ Monitor model performance post-deployment and iterate based on feedback
+ Communicate with, and present results to, colleagues and stakeholders
+ Present information using data visualization techniques
Qualifications/Requirements:
+ A master's degree (or equivalent) in a numerate discipline such as Statistics, Machine Learning, Computer Science, Engineering, or Physics. A doctorate is a plus but not required
+ Mid-level professional with 2-4 years of ML/AI experience, typically at an Analyst level role or external equivalent
+ A scientific approach to solving problems, an analytical mind, and experience in applied machine learning and generative AI
+ Experience in applying LLMs to analyze text documents, prompt engineering, and manual and automatic evaluation of LLM outputs
+ Good foundational knowledge of standard machine learning algorithms and statistical methods
+ Proficient in python and its standard data science and ML libraries (e.g., numpy, pandas, scikit-learn, boosting and data visualization libraries)
+ Practical experience in data processing and feature engineering for machine learning applications
+ Ability to write robust production-ready Python code
+ Good communication and presentation skills
+ Experience in commercial real estate is a plus
#LI-Onsite #LI-AS1
**Note: This job description is not intended to be all inclusive or exclusive. At any time, employees may perform other related duties as required to meet the ongoing needs of the organization and participate in additional trainings. SitusAMC does not accept unsolicited resumes from staffing agencies, search firms or any third parties. Any unsolicited resume submitted to SitusAMC in any manner will be considered SitusAMC property, and SitusAMC will not pay a fee for any placement resulting from the receipt of an unsolicited resume.**
Specific compensation is determined through interviews and a review of relevant education, experience, training, skills, geographic location and alignment with market data. Additionally, certain positions may be eligible to receive a discretionary bonus as determined by bonus program guidelines, position eligibility and SitusAMC Senior Management approval.
SitusAMC offers a comprehensive and competitive benefits plan.
SitusAMC is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
This advertiser has chosen not to accept applicants from your region.
0
Senior Machine Learning Engineer
London, London
Autodesk
Posted today
Job Viewed
Job Description
**Job Requisition ID #**
25WD8887
**Position Overview**
As we embark on a multi-year mission to revolutionize the Computer Aided Design (CAD) and Manufacturing (CAM) industry with Autodesk Fusion, we are excited to offer a pivotal role in our Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion's cloud-based automation and AI-powered capabilities.
As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and secure cloud-based services. These services will be utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk's global developer ecosystem.
Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods, technologies, and best practices, informed by the latest AI/ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to your success.
In return, you will be part of a team committed to innovation, fast iteration times, minimal bureaucracy, and a collaborative work environment. This is your opportunity to not just witness but actively participate in the transformation of the CAD & CAM industry, making a lasting impact on the future of design and manufacturing.
**Responsibilities**
+ **Cloud-Based Data Preparation:** Design and develop a cloud-based data preparation pipeline for ML model development in the Design and Manufacture space.
+ **Optimization:** Optimize this pipeline for throughput, latency, and cost using published or novel and creative approaches.
+ **Model Development:** Develop ML models, building on the latest published research.
+ **Model Improvement:** Improve and customize existing models using methodologies like RAG, fine-tuning, and transfer-learning.
+ **Integration:** Integrate existing ML models into novel applications.
+ **Application Development:** Develop and deploy applications that integrate AI/ML technology or models.
+ **Problem Solving:** Apply ML methods to address challenges in the CAD/CAM space.
+ **Literature Review:** Review relevant AI/ML literature and industry developments to identify emerging methods, technologies, and best practices.
+ **Collaboration:** Work collaboratively with cross-functional teams to integrate research findings into product development.
+ **Mentorship:** Mentor and guide junior researchers and engineers, fostering a culture of continuous learning and improvement.
+ **Publication:** Publish research findings in top-tier conferences and journals; represent Autodesk at industry and research events.
**Requirements**
+ **Research Expertise:** Proven research track record in AI/ML, high-performance computing, big data, applied mathematics, or statistics.
+ **Real-World Experience:** Demonstrated history of developing AI/ML powered solutions that solve a real-world problem and have users of any form.
+ **Programming Skills:** Proficiency in Python and JavaScript (required), C++ (optional).
+ **Analytical Skills:** Solid understanding of ML approaches to determine suitable technologies or methodologies for specific problems.
+ **Code Quality:** Natural aptitude for good code and software architecture.
+ **Work Ethic:** Hands-on mentality.
**Preferred requirements**
+ **Cloud Computing:** Strong experience with AWS services, particularly ECS, EC2, Lambda, and AWS Identity and Access Management (IAM).
+ **Governance Understanding:** Understanding of governance for cloud-based and AI solutions (e.g., SOC2, ISO 42001, EU AI Act).
+ **ML Frameworks:** Experience with ML frameworks for data preparation and training at a large scale.
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).
25WD8887
**Position Overview**
As we embark on a multi-year mission to revolutionize the Computer Aided Design (CAD) and Manufacturing (CAM) industry with Autodesk Fusion, we are excited to offer a pivotal role in our Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion's cloud-based automation and AI-powered capabilities.
As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and secure cloud-based services. These services will be utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk's global developer ecosystem.
Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods, technologies, and best practices, informed by the latest AI/ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to your success.
In return, you will be part of a team committed to innovation, fast iteration times, minimal bureaucracy, and a collaborative work environment. This is your opportunity to not just witness but actively participate in the transformation of the CAD & CAM industry, making a lasting impact on the future of design and manufacturing.
**Responsibilities**
+ **Cloud-Based Data Preparation:** Design and develop a cloud-based data preparation pipeline for ML model development in the Design and Manufacture space.
+ **Optimization:** Optimize this pipeline for throughput, latency, and cost using published or novel and creative approaches.
+ **Model Development:** Develop ML models, building on the latest published research.
+ **Model Improvement:** Improve and customize existing models using methodologies like RAG, fine-tuning, and transfer-learning.
+ **Integration:** Integrate existing ML models into novel applications.
+ **Application Development:** Develop and deploy applications that integrate AI/ML technology or models.
+ **Problem Solving:** Apply ML methods to address challenges in the CAD/CAM space.
+ **Literature Review:** Review relevant AI/ML literature and industry developments to identify emerging methods, technologies, and best practices.
+ **Collaboration:** Work collaboratively with cross-functional teams to integrate research findings into product development.
+ **Mentorship:** Mentor and guide junior researchers and engineers, fostering a culture of continuous learning and improvement.
+ **Publication:** Publish research findings in top-tier conferences and journals; represent Autodesk at industry and research events.
**Requirements**
+ **Research Expertise:** Proven research track record in AI/ML, high-performance computing, big data, applied mathematics, or statistics.
+ **Real-World Experience:** Demonstrated history of developing AI/ML powered solutions that solve a real-world problem and have users of any form.
+ **Programming Skills:** Proficiency in Python and JavaScript (required), C++ (optional).
+ **Analytical Skills:** Solid understanding of ML approaches to determine suitable technologies or methodologies for specific problems.
+ **Code Quality:** Natural aptitude for good code and software architecture.
+ **Work Ethic:** Hands-on mentality.
**Preferred requirements**
+ **Cloud Computing:** Strong experience with AWS services, particularly ECS, EC2, Lambda, and AWS Identity and Access Management (IAM).
+ **Governance Understanding:** Understanding of governance for cloud-based and AI solutions (e.g., SOC2, ISO 42001, EU AI Act).
+ **ML Frameworks:** Experience with ML frameworks for data preparation and training at a large scale.
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).
This advertiser has chosen not to accept applicants from your region.
1
Machine Learning Engineer III
London, London
American Express Global Business Travel
Posted today
Job Viewed
Job Description
Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued.
Amex GBT Egencia is at the center of revolutionizing business travel with our cutting-edge technology and the most desirable products in the industry. We have grown from a small start-up to become the 4th largest corporate travel management company in the world and getting acquired by the 1st.
How often do you get the opportunity to work in what feels like a startup environment but has funding of our parent company? That's what you would be doing if you were joining Amex GBT.
The team's responsibilities span data integration supporting customers and internal business area and ML platform development. We are looking for a talent with different skillset, a passionate technologist and dedicated to solving real-world business problems; to lead the excellence of Data/ML engineering practice.
**What You'll Do on a Typical Day**
+ Partner with technologists across the business to collaboratively solve problems.
+ Demonstrates active mentorship and rising talent identification.
+ Develops north star vision for domain in which they are focused.
+ Demonstrates positive impact and leadership across scope of the organization.
+ Serves as a specialist in architecting design solution patterns to any use case. Considers business needs, application needs and articulating to interested teams and partners.
+ Demonstrates mastery of software design, shapes coding methodologies that is scalable, resilient and stable.
+ Possesses a deep knowledge of entire system and can jump into code in any component and fire fight and contribute.
+ Expertise of professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
+ Leads collaboration with key partners and contributes subject matter expertise to develop unique solutions to complex issues.
+ Have good infrastructure knowledge (AWS, Kubernetes)
+ Have some experience with Data (BI, Reporting, Analytics, Machine Learning and so on) would be a plus
**What We're Looking For**
+ 2 to 3 years for Bachelor's or equivalent / for Master's
+ Development background, infrastructure (AWS) knowledge, Data awareness
+ Proven experience in data modeling, schema design patterns and modern data access patterns (including API, streaming, data lake) and AWS
+ Demonstrates familiarity with various cloud technologies and building data products to support batch and real-time DS, ML and Deep learning applications.
+ Independently designs, communicates and executes on architecture for moderately sophisticated data products.
+ Has a strong understanding of testing and monitoring tools and technologies.
+ Guides others in design of software that is easily testable and observable.
+ Influences and contributes to product vision for the team.
+ Proficiency in platform development using Java/Python and SQL
+ Have some experience of Sagemaker or equivalent, feature store, dashboards and so on.
+ Has some basics around LLM, guardrails, observability, RAG.
**Location**
London, United Kingdom
**The #TeamGBT Experience**
Work and life: Find your happy medium at Amex GBT.
+ **Flexible benefits** are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family.
+ **Travel perks:** get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals.
+ **Develop the skills you want** when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first.
+ **We strive to champion Inclusion** in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action.
+ And much more!
All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law.
Click Here ( for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.
Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the Amex GBT Recruitment Privacy Statement ( .
**What if I don't meet every requirement?** If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
Click Here to Learn More (
Amex GBT Egencia is at the center of revolutionizing business travel with our cutting-edge technology and the most desirable products in the industry. We have grown from a small start-up to become the 4th largest corporate travel management company in the world and getting acquired by the 1st.
How often do you get the opportunity to work in what feels like a startup environment but has funding of our parent company? That's what you would be doing if you were joining Amex GBT.
The team's responsibilities span data integration supporting customers and internal business area and ML platform development. We are looking for a talent with different skillset, a passionate technologist and dedicated to solving real-world business problems; to lead the excellence of Data/ML engineering practice.
**What You'll Do on a Typical Day**
+ Partner with technologists across the business to collaboratively solve problems.
+ Demonstrates active mentorship and rising talent identification.
+ Develops north star vision for domain in which they are focused.
+ Demonstrates positive impact and leadership across scope of the organization.
+ Serves as a specialist in architecting design solution patterns to any use case. Considers business needs, application needs and articulating to interested teams and partners.
+ Demonstrates mastery of software design, shapes coding methodologies that is scalable, resilient and stable.
+ Possesses a deep knowledge of entire system and can jump into code in any component and fire fight and contribute.
+ Expertise of professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
+ Leads collaboration with key partners and contributes subject matter expertise to develop unique solutions to complex issues.
+ Have good infrastructure knowledge (AWS, Kubernetes)
+ Have some experience with Data (BI, Reporting, Analytics, Machine Learning and so on) would be a plus
**What We're Looking For**
+ 2 to 3 years for Bachelor's or equivalent / for Master's
+ Development background, infrastructure (AWS) knowledge, Data awareness
+ Proven experience in data modeling, schema design patterns and modern data access patterns (including API, streaming, data lake) and AWS
+ Demonstrates familiarity with various cloud technologies and building data products to support batch and real-time DS, ML and Deep learning applications.
+ Independently designs, communicates and executes on architecture for moderately sophisticated data products.
+ Has a strong understanding of testing and monitoring tools and technologies.
+ Guides others in design of software that is easily testable and observable.
+ Influences and contributes to product vision for the team.
+ Proficiency in platform development using Java/Python and SQL
+ Have some experience of Sagemaker or equivalent, feature store, dashboards and so on.
+ Has some basics around LLM, guardrails, observability, RAG.
**Location**
London, United Kingdom
**The #TeamGBT Experience**
Work and life: Find your happy medium at Amex GBT.
+ **Flexible benefits** are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family.
+ **Travel perks:** get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals.
+ **Develop the skills you want** when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first.
+ **We strive to champion Inclusion** in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action.
+ And much more!
All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law.
Click Here ( for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.
Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the Amex GBT Recruitment Privacy Statement ( .
**What if I don't meet every requirement?** If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
Click Here to Learn More (
This advertiser has chosen not to accept applicants from your region.
2
Audio Machine Learning Engineer
EC1A, London
Coders Connect
Posted 463 days ago
Job Viewed
Job Description
Coders Connect has partnered with an innovative start-up who are embarking on an incredible journey with an AI-powered song-generation platform.
A small, dynamic team in London is revolutionizing the music industry by creating fresh and captivating songs across various genres. As a Machine Learning Engineer, you'll dive into the heart of this groundbreaking project, working on the Desinging and implementation of Data Pipelines, research, finetune and develop state-of-the-art generative AI models. Embrace the endless possibilities as the platform extends to the Web (WASM), Android, iOS, and even virtual reality!
If your passion for music harmonizes perfectly with your Machine Learning skills, this opportunity is tailor-made for you! Don't miss out on this thrilling adventure. Apply and shape the future of AI music production!
About this role: The ideal candidate would be responsible for: Designing and Implementation of data pipelines : craft and enhance AI-powered data collection and processing pipelines Advance AI Models for Music and Singing generation :research, fine-tuning and developing state-of-the-art generative AI models Evaluate and quantify the results :provide quantitative and qualitative analysis of the collected data and evaluate AI models Explore and collaborate : read academic papers, explore open-source solutions, actively share and collaborate with a team of AI and DSP engineers What is our team currently working on? Developing AI singer : singing voice synthesis and singing voice conversion Improving music AI models : exploring text and melody conditioning for music generation Building with instruction-tuned LLMs : for user's interactions with AI producer and lyrics generation Implementing the full music production pipeline : music generation, mixing and masteringRequirements Experience with audio data and DSP : experience in handling audio data and expertise in digital signal processing Data pipeline development skills : background in building data collection and processing pipelines Python and ML Framework Proficiency : 1+ years of hands-on experience with Python and modern ML frameworks Desirables : Experience with generative AI models : Diffusion models, GANs, VAEs, Transformers Musical background: Understanding of basic concepts in music theory and experience in either composing music or music production
This advertiser has chosen not to accept applicants from your region.
3
Software Engineer (Leadership) - Machine Learning
London, London
Meta
Posted today
Job Viewed
Job Description
**Summary:**
Facebook is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.
**Required Skills:**
Software Engineer (Leadership) - Machine Learning Responsibilities:
1. Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
2. Effectively communicate complex features and systems in detail
3. Understand industry & company-wide trends to help assess & develop new technologies
4. Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
5. Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
6. Suggest, collect and synthesize requirements and create an effective feature roadmap
7. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
**Minimum Qualifications:**
Minimum Qualifications:
9. Experience leading projects with industry-wide impact
10. Vast experience communicating and working across functions to drive solutions
11. Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term-vision
12. Experience in driving large cross-functional/industry-wide engineering efforts
13. Significant experience in programming languages (Python, C++, Java, or R) with a technical background
14. Significant experience in mentoring/influencing senior engineers across organizations
15. Significant experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining, or artificial intelligence
**Preferred Qualifications:**
Preferred Qualifications:
16. B.S. Computer Science or related technical field
17. Experience in shipping products to millions of customers or have started a new line of product
18. Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark
**Industry:** Internet
Facebook is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.
**Required Skills:**
Software Engineer (Leadership) - Machine Learning Responsibilities:
1. Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
2. Effectively communicate complex features and systems in detail
3. Understand industry & company-wide trends to help assess & develop new technologies
4. Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
5. Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
6. Suggest, collect and synthesize requirements and create an effective feature roadmap
7. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
**Minimum Qualifications:**
Minimum Qualifications:
9. Experience leading projects with industry-wide impact
10. Vast experience communicating and working across functions to drive solutions
11. Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term-vision
12. Experience in driving large cross-functional/industry-wide engineering efforts
13. Significant experience in programming languages (Python, C++, Java, or R) with a technical background
14. Significant experience in mentoring/influencing senior engineers across organizations
15. Significant experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining, or artificial intelligence
**Preferred Qualifications:**
Preferred Qualifications:
16. B.S. Computer Science or related technical field
17. Experience in shipping products to millions of customers or have started a new line of product
18. Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark
**Industry:** Internet
This advertiser has chosen not to accept applicants from your region.
4
Applied Scientist, ATS Machine Learning & Engineering
London, London
Amazon
Posted today
Job Viewed
Job Description
Description
Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, e.g. how to reach net zero carbon by 2040).
Amazon's transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience - from online checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers.
As part of this team you will focus on the development and research of machine learning solutions and algorithms for core planning systems, as well as for other applications within Amazon Transportation Services, and impact the future of the Amazon delivery network. Current research and areas of work within our team include machine learning forecast, uncertainty quantification, planning systems, model interpretability, graph neural nets, among others.
We are looking for a Machine Learning Scientist with a strong academic background in the areas of machine learning, natural language processing, time series forecasting, and/or optimization.
At Amazon, we strive to continue being the most customer-centric company on earth. To stay there and continue improving, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, and deliver in the most efficient and greenest way possible, this is your chance to make history.
About the team
EU STEP brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES), Learning, Quality, Service, Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain.
Basic Qualifications
- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in building models for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, e.g. how to reach net zero carbon by 2040).
Amazon's transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience - from online checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers.
As part of this team you will focus on the development and research of machine learning solutions and algorithms for core planning systems, as well as for other applications within Amazon Transportation Services, and impact the future of the Amazon delivery network. Current research and areas of work within our team include machine learning forecast, uncertainty quantification, planning systems, model interpretability, graph neural nets, among others.
We are looking for a Machine Learning Scientist with a strong academic background in the areas of machine learning, natural language processing, time series forecasting, and/or optimization.
At Amazon, we strive to continue being the most customer-centric company on earth. To stay there and continue improving, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, and deliver in the most efficient and greenest way possible, this is your chance to make history.
About the team
EU STEP brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES), Learning, Quality, Service, Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain.
Basic Qualifications
- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in building models for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
5
Machine Learning Engineer, Amazon Studios AI Lab
London, London
Amazon
Posted today
Job Viewed
Job Description
Description
Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is one of the world's leading digital video services, and we're just getting started changing the way millions of people around the world enjoy content. Now available in more than 200 countries and territories, Prime Video offers customers the broadest selection of any on-demand video service, including our critically-acclaimed Amazon Originals Series such as The Boys, The Marvelous Mrs. Maisel, The Underground Railroad; UK-produced hit Amazon Original series like Good Omens, The Grand Tour, All or Nothing and Premier League football.
Amazon Studios is the movies and television development and production arm of Amazon. It is our role to produce original content and license studio programs worldwide in exclusive service of Amazon's Prime Video customers. We need your passion, innovative ideas, and creativity to help take us to new heights.
Do you like inventing, growing and learning from world-class engineers and scientists? If so, we want to hear from you!
This a hybrid applied science and engineering team that is developing bleeding edge AI solutions to enhance efficiency, elevate creativity, and ultimately redefine industry standards, ensuring that every decision is accelerated by intelligence and foresight. We need your passion, innovative ideas, and creativity to help take us to new heights.
The solutions we're building are demanding. Collaborating with teams across Amazon and world leading universities we create novel algorithms to automate workflows and innovate on behalf of our studios customers. This requires the use of the latest technologies across foundational models, transformer based architectures, image processing, image analysis, computer vision and machine learning. We need to optimise those algorithms to run accurately and efficiently. The scope of our charter means we're also utilising techniques such as contextual understanding and correction, to ensure the highest levels of video quality for our customers. The range of problems we have to solve in our space, and the enormous potential to positively impact Amazon Studios' ability to scale, provides a breath of opportunities for MLEs to grow and develop their skills.
Key job responsibilities
You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also contribute to publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go.
About the team
The team is based in Amazon's engineering centre in London and consists of engineers with a variety of backgrounds, from seasoned Amazonian to newly hired; a mix of applied scientists, AWS experts and generalists, but all of us are learning and growing. We work closely with other Prime Video engineering and science teams, including teams based on the US west coast as well as in London.
Basic Qualifications
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in professional, non-internship software development
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience in one or more of the following: machine learning, multimodal models, computer vision, natural language processing and audio/signal processing.
Preferred Qualifications
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is one of the world's leading digital video services, and we're just getting started changing the way millions of people around the world enjoy content. Now available in more than 200 countries and territories, Prime Video offers customers the broadest selection of any on-demand video service, including our critically-acclaimed Amazon Originals Series such as The Boys, The Marvelous Mrs. Maisel, The Underground Railroad; UK-produced hit Amazon Original series like Good Omens, The Grand Tour, All or Nothing and Premier League football.
Amazon Studios is the movies and television development and production arm of Amazon. It is our role to produce original content and license studio programs worldwide in exclusive service of Amazon's Prime Video customers. We need your passion, innovative ideas, and creativity to help take us to new heights.
Do you like inventing, growing and learning from world-class engineers and scientists? If so, we want to hear from you!
This a hybrid applied science and engineering team that is developing bleeding edge AI solutions to enhance efficiency, elevate creativity, and ultimately redefine industry standards, ensuring that every decision is accelerated by intelligence and foresight. We need your passion, innovative ideas, and creativity to help take us to new heights.
The solutions we're building are demanding. Collaborating with teams across Amazon and world leading universities we create novel algorithms to automate workflows and innovate on behalf of our studios customers. This requires the use of the latest technologies across foundational models, transformer based architectures, image processing, image analysis, computer vision and machine learning. We need to optimise those algorithms to run accurately and efficiently. The scope of our charter means we're also utilising techniques such as contextual understanding and correction, to ensure the highest levels of video quality for our customers. The range of problems we have to solve in our space, and the enormous potential to positively impact Amazon Studios' ability to scale, provides a breath of opportunities for MLEs to grow and develop their skills.
Key job responsibilities
You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also contribute to publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go.
About the team
The team is based in Amazon's engineering centre in London and consists of engineers with a variety of backgrounds, from seasoned Amazonian to newly hired; a mix of applied scientists, AWS experts and generalists, but all of us are learning and growing. We work closely with other Prime Video engineering and science teams, including teams based on the US west coast as well as in London.
Basic Qualifications
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in professional, non-internship software development
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience in one or more of the following: machine learning, multimodal models, computer vision, natural language processing and audio/signal processing.
Preferred Qualifications
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
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6
Data Science Manager
London, London
Meta
Posted today
Job Viewed
Job Description
**Summary:**
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a impact oriented team. By joining Meta, you will become part of the analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager Responsibilities:
1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
3. Influence product direction through clear and compelling presentations to leadership
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree ideally should be completed before joining Meta
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Experience initiating and completing analytical projects with minimal guidance
12. Experience communicating results of analysis to leadership
**Preferred Qualifications:**
Preferred Qualifications:
13. Proven track record of leading impact oriented analytics teams.
14. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
15. Experience working in technology, consulting, or finance.
**Industry:** Internet
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a impact oriented team. By joining Meta, you will become part of the analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager Responsibilities:
1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
3. Influence product direction through clear and compelling presentations to leadership
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree ideally should be completed before joining Meta
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Experience initiating and completing analytical projects with minimal guidance
12. Experience communicating results of analysis to leadership
**Preferred Qualifications:**
Preferred Qualifications:
13. Proven track record of leading impact oriented analytics teams.
14. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
15. Experience working in technology, consulting, or finance.
**Industry:** Internet
This advertiser has chosen not to accept applicants from your region.
7
Data Science Associate
London, London
Metyis AG
Posted 11 days ago
Job Viewed
Job Description
Metyis is growing! We are looking for a Data Science Associate with 3-4 years of experience to join our Data and Analytics team in London.
Who we are
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.
With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.
We are looking for a Data professional to join our Data Science team. As a Data Science Associate, you are responsible for turning our clients’ business a more data-driven one, where data is used to drive action in every team, every day.
What we offerInteract with our clients on regular basis, to drive their business towards impactful change.
Work in multidisciplinary teams and learn from motivated colleagues.
A chance to take responsibility for your work, develop yourself every day and take full ownership of your career.
Become part of a fast growing international and diverse team.
Perform data analysis in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics.
Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc.
Communicate analyses via compelling presentations.
Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis.
Prepare and facilitating workshops.
Manage stakeholders and communicating with executives.
Coach and mentor team members.
3-5 years of professional work experience in the analytics domain.
An advanced degree in a quantitative field (e.g. mathematics, computer programming, etc.).
An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis.
Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R.
Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit-Learn, Matplotlib).
Ability to talk the language of statistics, finance, and economics a plus.
Profound knowledge of the English language.
In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.
This advertiser has chosen not to accept applicants from your region.
8
Data Science Intern
Low Carbon
Posted 517 days ago
Job Viewed
Job Description
About Low Carbon
Low Carbon is a purpose driven company that creates large-scale renewable energy in the global fight against climate change. Our mission is to protect the planet for future generations while delivering positive returns for our communities and investors. Our goal is to produce as much new renewable energy as possible while limiting our own environmental impact. We do this by developing, investing in, and operating large-scale renewable energy projects across the globe.
Our partnership with the Massachusetts Mutual Life Insurance Company (MassMutual) is enabling us to accelerate the deployment of large-scale renewable energy and underpins our ambition to transform the global energy sector from fossil fuels to zero carbon.
All of us at Low Carbon know that trust is a vital component of the climate fight. We are a long-standing certified B-Corporation, a reflection of our fundamental ethos to balance the needs of the environment and society with our bottom line.
We are extremely proud of the highly professional and talented team at Low Carbon. We have built a positive learning culture that incorporates respect, trust, collaboration, and a shared passion to combat climate change. It is an open, friendly and supportive environment, and we are proud to say we work here. As we grow, we are committed to increasing diversity in the team, and continuing to foster an inclusive environment where we can learn from each other.
Role Description
The Low Carbon Data Science Internship is a 10-week summer program for undergraduate, graduate students and/or recent graduates. We want our internship colleagues to develop their skills in these emerging fields by working on real-world projects that make an impact on climate change and our business.
In 2023, our Data Science Summer Interns worked on deploying AI solutions across our business, on topics ranging from Renewable Asset Management, to Investment and Finance, presenting insights to our Executive Committee.
For our 2024 program, the successful candidate will form a crucial member of a small squad deployed on a real world business problem within the renewable energy industry. During the program there will be learning and support, including mentorship from subject matter experts in the business, and input and feedback from our senior industry professionals
Key Responsibilities
Working with other interns and project mentors, you will:
- Use Data Science to help solve a specific, live business challenge at Low Carbon
- Frame and structure practical solutions to challenging business problems
- Work in Agile Sprints to iteratively design, test and run trial solutions
- Present findings and key recommendations to senior stakeholders
Person Specification
- Undergraduate students, postgraduate students, or recent graduates from degrees in computer science, data science, statistics, mathematics, engineering and related fields
- A genuine interest in climate change and the role technology and data can play in solving some of our biggest climate challenges
- Eligible to work in the UK, on a 40-hour per week basis, continuously, from 8th July to 13th September
- An enthusiastic and committed team player who will work well with internship colleagues and key business stakeholders
- Energetic, reliable, adaptable and used to using their initiative
- A friendly, approachable and professional manner
Skills & Experience
- Practical experience of Programming in Python
- Demonstrable Data Science project experience (inside or outside classroom)
- Sound knowledge of fundamental statistical concepts
- Excellent problem-solving ability
- Ability to communicate results and present findings to a variety of stakeholders
Our Compensation & Benefits
- Competitive salary
- 26 days holiday + your birthday off (pro-rata for the duration of your internship)
- Lots of office social events
- Working in newly fit-out offices in Central London
- Get to work with an experienced, talented team of renewable energy professionals
- Be a part of a dynamic, entrepreneurial mission driven culture
- Make your unique contribution to the fight against climate change
This advertiser has chosen not to accept applicants from your region.
9