48 Data Scientists jobs in Greater London
Machine Learning Engineer
Posted 4 days ago
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Job Title: Machine Learning Engineer
Location: London (1 days per week onsite) - Flexible
Salary: 45,000 DOE + Benefits
Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most likely suit someone with previous experience in a similar role where they have gained knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI.
A FTSE 250 company, they combine expertise and insight with advanced technology and analytics to address the needs of over 1,400 schemes and their sponsoring employers on an ongoing and project basis. We undertake administration for over one million members and provide advisory services to schemes and corporate sponsors in respect of schemes of all sizes, including 88 with assets over 1bn. We also provide wider ranging support to insurance companies in the life and bulk annuities sector.
The Team
The client is a specialist and multi-disciplinary team consisting of actuaries, data scientist and developers. Our role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas.
The Role
As a Machine Learning Engineer you will:
- Model development. Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings.
- Machine Learning Operations. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines.
- Data Management and Preprocessing. Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality.
- Software Development. Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review.
- Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues to integrate data science findings into practical advice and strategies.
- Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation.
- Provide training and support to other team members on using machine learning tools and understanding analytical techniques.
- Interpret and explain machine learning concepts and findings to other members of the analytics team and non-technical stakeholders.
Your profile
Essential Criteria
- Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments.
- Experience in data wrangling using Python, SQL and ADF.
- Experience in CI/CD and DevOps/MLOps and version control.
- Familiarity with data visualization and reporting tools, ideally PowerBI.
- Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders.
- Experience in the pensions or similar regulated financial services industry is highly desirable.
- Experience in working within a multidisciplinary team would be beneficial.
We offer an attractive reward package, typical benefits can include:
- Competitive salary
- Participation in annual discretionary Bonus Scheme
- 25 days holiday plus flexibility to buy or sell holiday
- Flexible Bank holidays
- Pension scheme, matching contribution structure
- Healthcare cash plan
- Flexible Benefits Scheme to support you in and out of work, helping you look after you and your family covering Security & Protection, Health & Wellbeing, Lifestyle
- Life Assurance cover, four times basic salary
- Rewards (offers High Street discounts and savings from retailers and services providers as well as offers available via phone)
- Employee Assistance Programme for you and your household
- Access to a digital GP service
- Paid volunteering day when participating in Company organised events
- Staff referral scheme when you introduce a friend
In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy.
Machine Learning Engineer
Posted 4 days ago
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An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems.
We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include:
- Search relevancy engineering.
- Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities.
- Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources.
- Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT).
- Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks.
- Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy.
- AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS.
- End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring.
- Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js.
- Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch.
Required skills & experience:
- 3-5+ years in machine learning and software development
- Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers
- Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments.
- Full-stack experience (React, TypeScript, Node.js) and API development.
- Familiarity with vector search and multi-agent orchestration
Apply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven projects and solutions. The role offers a highly competitive salary and benefits package and will be office based in Leicestershire.
MLE(phone number removed)AMR
INDAMS
Machine Learning Engineer
Posted 27 days ago
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Job Description
An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems.
We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include:
- Search relevancy engineering.
- Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities.
- Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources.
- Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT).
- Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks.
- Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy.
- AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS.
- End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring.
- Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js.
- Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch.
Required skills & experience:
- 3-5+ years in machine learning and software development
- Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers
- Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments.
- Full-stack experience (React, TypeScript, Node.js) and API development.
- Familiarity with vector search and multi-agent orchestration
Apply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven projects and solutions. The role offers a highly competitive salary and benefits package and will be office based in Leicestershire.
MLE(phone number removed)AMR
INDAMS
Machine Learning Engineer
Posted 15 days ago
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Job Description
UK BASED APPLICANTS ONLY/ PLEASE DO NOT APPLY IF YOU NEED VISA OR SPONSORSHIP
Talent Hero is a speed and quality driven recruiting agency, dedicated to placing the best UK remote professionals in remote positions with U.S.A businesses.
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WHJS1_UKTJ
Senior Analyst, Machine Learning
Posted today
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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.
Senior Machine Learning Engineer
Posted today
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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).
Machine Learning Engineer III
Posted today
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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 (
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Machine Learning Ops Engineer
Posted 170 days ago
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About Us
YouLend is the preferred global embedded financing platform for many of the world’s leading e-commerce sites, tech companies and payment services providers such as Amazon, eBay, Shopify, Mollie, Dojo, Paysafe, Just Eat Takeaway and Takepayments. Our software platform and APIs enable our partners to offer flexible financing products, in their desired branding, to their merchant base. With YouLend's AI-driven credit risk assessment solutions, more merchants and SMEs than ever can receive fast, flexible and affordable funding. We operate in 9+ geographies across the UK, EU and the US.
We believe that the future of financial services will be delivered by customer-oriented tech companies that embed financing in their customer journeys, and we are building the solutions that will power that future.
The Role:
As our ML Ops Engineer, you'll be the architect of robust processes to streamline and maintain our machine learning models in a dynamic production environment. You'll bridge the gap between research and deployment, ensuring our platform continues to deliver transformative results for our development partners. This role requires a blend of data engineering, software development, and an understanding of how to operationalize Machine Learning.
Requirements
- Production Pipelines : Design, implement, and optimise scalable ML pipelines. This includes model training, validation, deployment, and monitoring.
- Dataflow for Continuous Learning : Engineer efficient data infrastructure for handling simulation results and production usage data.
- Alerting & Performance Monitoring : Set up systems to track model performance in production, creating alerts to flag potential accuracy degradation related to new geometries explored by our partners.
- Automation & Tooling : Build and select tools to automate as many aspects of the ML lifecycle as possible, streamlining operations and model updates.
- Collaboration is Key : Work closely with ML research engineers to understand new model advancements and integrate them into the production environment. Partner with software engineers for seamless platform functionalities.
Essential Skills:
- ML in Practice : Proven experience building and maintaining operational ML systems.
- Python Proficiency : Strong Python coding skills and familiarity with relevant ML/data engineering libraries.
- DevOps Mindset : Understanding of CI/CD principles, containerisation (Docker, Kubernetes), and version control (Git).
- Problem-Solving Approach : Ability to troubleshoot issues in complex ML pipelines and proactively address potential bottlenecks.
Desirable:
- Experience with Youlend’s data stack: Terraform, AWS, Rackspace, Helmchart, Jenkins, Snowflake
- Experience in financial services / lending
Benefits
Why join YouLend?
- Award-Winning Workplace: YouLend has been recognised as one of the “Best Places to Work 2024” by the Sunday Times for being a supportive, diverse, and rewarding workplace.
- Award-Winning Fintech : YouLend has been recognised as a “Top 250 Fintech Worldwide” company by CNBC.
We offer a comprehensive benefits package that includes:
- Stock Options
- Private Medical insurance via Vitality
- EAP with Health Assured
- Enhanced Maternity and Paternity Leave
- Modern and sophisticated office space in Central London
- Free Gym in office building in Holborn
- Subsidised Lunch via Feedr
- Deliveroo Allowance if working late in office
- Monthly in office Masseuse
- Team and Company Socials
- Football Power League / Squash Club
Salary: £65,000 - 95,000 + 20% annual bonus
At YouLend, we champion diversity and embrace equal opportunity employment practices. Our hiring, transfer, and promotion decisions are exclusively based on qualifications, merit, and business requirements, free from any discrimination based on race, gender, age, disability, religion, nationality, or any other protected basis under applicable law.
Senior Machine Learning Engineer
Posted 238 days ago
Job Viewed
Job Description
At EFG (ESL FACEIT Group) we create worlds beyond gameplay, where players and fans become a community. We pride ourselves in having a corporate social responsibility which is that “IT’S NOT GG, UNTIL IT’S GG FOR ALL”.
Our passion, craft, and DNA align to create and shape the world of esports, gaming tournaments, leagues, events, and holistic ecosystems through our millions of players, fans, and heroes, as well as through our people and culture.
You’ll be joining the ML Ops Team, whose mission is to design, build, and evolve a world-class ML Ops platform that empowers Data Scientists and delivers value to EFG's Business teams. This is a rare opportunity to shape the architecture and technical execution patterns of a greenfield ecosystem.
We’re looking for an accomplished Senior Machine Learning Engineer who knows that the true mark of intelligence and experience is kindness, and the responsibility to use it to level up everyone around you.
EXPECTATIONS- Serve as a leader in tech
- Ask all the whys, relentlessly until you know your customer needs inside-out and know you’re designing the right solution to the problems and not the other way around;
- Partner with our stakeholders and serve as an internal consultant to foster the adoption of our data platform;
- You contribute to the technical strategy of the team, and its execution through prioritization, and delivery management;
- Set high standards across documentation, testing, resiliency, monitoring, and code quality. Enforce these standards by holding your team accountable;
- You drive towards efficiencies and look for ways to simplify code, infrastructure and data models across the platform;
- Inspire, teach and guide your fellow team members; lead design sessions, be there for a code review, take ownership of operational processes.
- Excel as Senior Engineer
- Write well-rounded, reusable and documented code that captures the essential nature of the solution;
- Decompose ambiguous and open-ended problems into solutions composed of multiple tooling;
- Construct complex architectures tying multiple services and SaaS tooling together, leveraging a strong understanding of a cloud-based stack (AWS, GCP);
- Drive towards efficiencies, lowering our tech spend and tackling tech debt on a quarterly basis.
- Personify our DNA
- Exemplify the values we live by. Nurture a blameless culture. Know and care for your team members; inspire, and guide them to be the best that they can be;
- Be the heart-first, people-first tech lead everyone wants to be around because you have invested in building relationships.
Requirements
- Architecture
- You’ve participated in shaping the architecture of a mature ML Ops solution and providing quantifiable business value;
- You’ve run PoCs, planned large migrations of data and code, and participated in planning a roadmap multiple times before.
- Engineering Hands-On
- You have hands-on experience supporting the infrastructure required for an efficient ML workflow, from initial conception to development (DVC, Mlflow, etc.) to deployment (KServe, BentoML, TFX, etc.);
- You have hands-on experience in building resilient batch (Airflow, Fivetran) and streaming (Kafka, Kinesis, Dataflow) data pipelines at scale (> 1 TB/day);
- You can advocate passionately for your tried-and-true best practices of CI/CD (Github Actions, Jenkins)
- You can build and maintain your own infrastructure through IaC (Terraform);
- You preach operational procedures from data and infrastructure observability (Prometheus), alerting and incident management (PagerDuty, incident.io);
- You are fluent in one or more high-level programming languages (Python, Scala);
- Some experience in data modeling.
- Tech Leadership
- You’ve served as a leader in technology in the past; you’ve made mistakes and learned from them;
- You have interacted with a large community of stakeholders before; you understand the business use cases and can tailor your communication to ICs and Senior Management.
- You like to have a good time while getting things done. When we say a “team player” we mean it - you have a crisp high-five and funny stories to tell. You have your team’s back, and the team has yours;
- You love learning new things: You know that there’s always more to learn. You’re up-to-date on new trends in data – you know who’s using what to solve various problems and are excited for the next release of your favorite tool;
- Past experience in the Esports/Gaming/Betting/Events industry would be a great asset;
- You make the time to cheer and enjoy the ride.
Audio Machine Learning Engineer
Posted 449 days ago
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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