Explore exciting opportunities in the field of machine learning engineering. This role involves developing and implementing 3,101 Machine Learning Engineer jobs in the United Kingdom
Lead AI/Machine Learning Engineer - Deep Learning
NR1 4AA Norwich, Eastern
£80000 annum + sto
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client, a cutting-edge technology firm at the forefront of AI innovation, is seeking a highly skilled Lead AI/Machine Learning Engineer to join their fully remote team. This role is central to developing and deploying advanced deep learning models that power next-generation AI solutions. You will lead a talented team of engineers, architecting scalable ML pipelines, driving research into novel algorithms, and translating complex business challenges into AI-driven outcomes. The ideal candidate possesses a deep theoretical understanding of ML/AI, extensive practical experience in deep learning frameworks, and exceptional leadership qualities suited for a remote-first environment.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and deployment of complex deep learning models and AI systems.
- Architect and implement robust, scalable machine learning pipelines for data preprocessing, model training, and inference.
- Mentor and guide a team of AI/ML engineers, fostering a culture of innovation and technical excellence.
- Collaborate closely with product management, data scientists, and software engineers to define project roadmaps and deliver impactful AI solutions.
- Stay at the forefront of AI/ML research, identifying and evaluating new technologies and methodologies.
- Conduct rigorous experimentation and analysis to optimize model performance, efficiency, and accuracy.
- Ensure the ethical and responsible development and deployment of AI systems.
- Develop and maintain high-quality, well-documented code and ML infrastructure.
- Present technical findings and strategic recommendations to stakeholders across the organization.
- Contribute to the company's intellectual property through research and innovation.
- Manage project timelines and resources effectively within a remote team structure.
- MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- Minimum of 6 years of professional experience in Machine Learning and AI, with at least 3 years in a leadership or lead engineer role.
- Extensive hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proven track record of successfully deploying large-scale ML models into production environments.
- Strong expertise in areas such as computer vision, natural language processing (NLP), or reinforcement learning.
- Proficiency in Python and relevant ML libraries (e.g., scikit-learn, pandas, NumPy).
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional leadership, communication, and collaboration abilities, particularly in a remote setting.
- Ability to translate business requirements into technical AI strategies.
- A passion for pushing the boundaries of AI and its applications.
This advertiser has chosen not to accept applicants from your region.
0
Lead Machine Learning Engineer - Deep Reinforcement Learning
BT7 2FN Belfast, Northern Ireland
£80000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is a leading innovator in autonomous systems and seeks a highly skilled Lead Machine Learning Engineer to spearhead the development of advanced deep reinforcement learning models. This critical role will involve architecting, implementing, and deploying sophisticated RL agents for complex real-world applications. You will be responsible for pushing the boundaries of what's possible in artificial intelligence, tackling challenging problems in areas such as robotics, game theory, and operational optimization. The successful candidate will possess a profound understanding of both theoretical ML concepts and practical engineering best practices, with a strong focus on scalable and efficient model deployment.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the design, development, and implementation of deep reinforcement learning algorithms.
- Build and optimize robust ML pipelines for training and evaluation of RL agents.
- Deploy ML models into production environments, ensuring scalability and performance.
- Mentor and guide a team of talented ML engineers and researchers.
- Collaborate with cross-functional teams to define project requirements and deliverables.
- Conduct thorough experimentation, analysis, and documentation of results.
- Stay at the cutting edge of ML research and identify opportunities for innovation.
- Contribute to the company's intellectual property through patents and publications.
Qualifications:
- Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Extensive experience in machine learning, with a deep specialization in deep reinforcement learning.
- Proven experience leading ML projects and/or teams.
- Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, or JAX.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices.
- Strong understanding of software engineering principles.
- Excellent problem-solving and critical thinking skills.
- Outstanding communication and interpersonal abilities.
This advertiser has chosen not to accept applicants from your region.
1
Machine Learning Engineer
SGI
Posted today
Job Viewed
Job Description
Machine Learning Engineer Salary: Up to £90k Equity Location: Fully Remote in UK I am working with an exciting start-up in the UK, who are looking for a Machine Learning Engineer to join their growing team. As a core early team member, you’ll design, optimize, and deploy models that make real-time insights possible, all while shaping the technical direction of a fast-moving startup. What You’ll Own: Build and optimize ML models Turn research prototypes into production-ready systems. Collaborate across product, hardware, and data teams to tackle real-world challenges. Influence technical strategy and contribute to the startup’s growth and product roadmap. What We’re Looking For: Strong Python and deep learning skills (PyTorch/TensorFlow). Experience with TinyML frameworks (TensorFlow Lite, TVM, ExecuTorch). Expertise in model optimization for constrained devices (quantization, pruning, compression). Ability to take ownership and thrive in a fast-paced, flexible startup environment. This role does not offer sponsorship! If you interested, please reach out to-
This advertiser has chosen not to accept applicants from your region.
2
Machine Learning Engineer
London, London
£500 - £750 Daily
Randstad Technologies Recruitment
Posted 8 days ago
Job Viewed
Job Description
Senior Machine Learning Engineer
3 Month Contract Initially with most probable extension
Location- London- Working Remotely
Are you a Senior ML Engineer with a passion for building large-scale, production-ready systems? We're looking for a talented professional to join a leading global digital entertainment platform. This is a fantastic opportunity to work on a 3-month contract with a high probability of extension.
The Role
We need a Senior ML Engineer to help us design, build, and deploy robust machine learning systems that power our platform. You'll be a key part of our team, tackling complex challenges and ensuring our models are scalable and reliable in a production environment.
What You'll Bring
- Production Experience : Proven track record of developing large-scale ML systems. We're particularly interested in candidates who have experience at large, international companies.
- Technical Skills : Strong proficiency in languages like Java, Scala, or Python .
- Deep Learning Frameworks : Hands-on experience with either PyTorch or TensorFlow .
- Experience : Previous experience working on distributed systems is a plus.
This is an urgent vacancy with deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. pandey @ randstad. Co. uk
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
This advertiser has chosen not to accept applicants from your region.
3
Machine Learning Engineer
EC1 London, London
Randstad Technologies Recruitment
Posted 8 days ago
Job Viewed
Job Description
Senior Machine Learning Engineer
3 Month Contract Initially with most probable extension
Location- London- Working Remotely
Are you a Senior ML Engineer with a passion for building large-scale, production-ready systems? We're looking for a talented professional to join a leading global digital entertainment platform. This is a fantastic opportunity to work on a 3-month contract with a high probability of extension.
The Role
We need a Senior ML Engineer to help us design, build, and deploy robust machine learning systems that power our platform. You'll be a key part of our team, tackling complex challenges and ensuring our models are scalable and reliable in a production environment.
What You'll Bring
- Production Experience : Proven track record of developing large-scale ML systems. We're particularly interested in candidates who have experience at large, international companies.
- Technical Skills : Strong proficiency in languages like Java, Scala, or Python .
- Deep Learning Frameworks : Hands-on experience with either PyTorch or TensorFlow .
- Experience : Previous experience working on distributed systems is a plus.
This is an urgent vacancy with deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. pandey @ randstad. Co. uk
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
This advertiser has chosen not to accept applicants from your region.
4
Machine Learning Engineer
SGI
Posted 5 days ago
Job Viewed
Job Description
Machine Learning Engineer
Salary: Up to £90k + Equity
Location: Fully Remote in UK
I am working with an exciting start-up in the UK, who are looking for a Machine Learning Engineer to join their growing team.
As a core early team member, you’ll design, optimize, and deploy models that make real-time insights possible, all while shaping the technical direction of a fast-moving startup.
What You’ll Own:
- Build and optimize ML models
- Turn research prototypes into production-ready systems.
- Collaborate across product, hardware, and data teams to tackle real-world challenges.
- Influence technical strategy and contribute to the startup’s growth and product roadmap.
What We’re Looking For:
- Strong Python and deep learning skills (PyTorch/TensorFlow).
- Experience with TinyML frameworks (TensorFlow Lite, TVM, ExecuTorch).
- Expertise in model optimization for constrained devices (quantization, pruning, compression).
- Ability to take ownership and thrive in a fast-paced, flexible startup environment.
This role does not offer sponsorship!
If you interested, please reach out to-
This advertiser has chosen not to accept applicants from your region.
5
Machine Learning Engineer
London, London
Snap Inc.
Posted 13 days ago
Job Viewed
Job Description
Snap Inc ( is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat ( , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio ( , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles ( .
We're looking for Machine Learning Engineers to join the Generative ML Platform team at Snap Inc!
What you'll do:
+ Develop ML-tools and ML-products that serve millions of Snapchatters on a daily basis
+ Build cutting-edge augmented reality experiences with diffusion/flow matching models and GANs
+ Deliver GenAI experiences for the edge devices
+ Work on state of the art GenAI pipelines for image and video generation
+ Work closely with other Snap teams to introduce, prototype and launch new products
Knowledge, Skills & Abilities:
+ A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly
+ Knowledge of mathematics and deep learning foundations
+ Ability to effectively collaborate with internal teams and external partners
+ Ability to work independently
Minimum Qualifications:
+ Bachelor's Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience
+ Engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning
+ Experience with the major deep learning frameworks: PyTorch or TensorFlow
+ Strong programming skills in Python or C+Preferred Qualifications:
+ Experience developing real-time software for mobile applications
+ Knowledge of computer graphics foundations
+ Track record of successful projects in GenAI field
+ Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.
If you have a disability or special need that requires accommodation, please don't be shy and provide us some information ( .
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
Our Benefits ( : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
**A Decade of Snap ( **:** Learn about our origin story, values, mission, culture of innovation, and more.
**CitizenSnap ( **:** In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.
**The DEI Innovation Summit ( **:** Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.
**Snap News ( **:** Stay up to date on the latest and greatest product and innovation news at Snap
Applicant and Candidate Privacy Policy (
We're looking for Machine Learning Engineers to join the Generative ML Platform team at Snap Inc!
What you'll do:
+ Develop ML-tools and ML-products that serve millions of Snapchatters on a daily basis
+ Build cutting-edge augmented reality experiences with diffusion/flow matching models and GANs
+ Deliver GenAI experiences for the edge devices
+ Work on state of the art GenAI pipelines for image and video generation
+ Work closely with other Snap teams to introduce, prototype and launch new products
Knowledge, Skills & Abilities:
+ A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly
+ Knowledge of mathematics and deep learning foundations
+ Ability to effectively collaborate with internal teams and external partners
+ Ability to work independently
Minimum Qualifications:
+ Bachelor's Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience
+ Engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning
+ Experience with the major deep learning frameworks: PyTorch or TensorFlow
+ Strong programming skills in Python or C+Preferred Qualifications:
+ Experience developing real-time software for mobile applications
+ Knowledge of computer graphics foundations
+ Track record of successful projects in GenAI field
+ Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.
If you have a disability or special need that requires accommodation, please don't be shy and provide us some information ( .
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
Our Benefits ( : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
**A Decade of Snap ( **:** Learn about our origin story, values, mission, culture of innovation, and more.
**CitizenSnap ( **:** In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.
**The DEI Innovation Summit ( **:** Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.
**Snap News ( **:** Stay up to date on the latest and greatest product and innovation news at Snap
Applicant and Candidate Privacy Policy (
This advertiser has chosen not to accept applicants from your region.
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6
Machine Learning Engineer
Livingston, Scotland
ICON Clinical Research
Posted 13 days ago
Job Viewed
Job Description
Machine Learning Engineer (Client dedicated | Fully remote)
ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.
As a Machine Learning Engineer you will be joining the world's largest & most comprehensive clinical research organisation, powered by healthcare intelligence.
You can cover this position working fully remote from your current location in EMEA.
What you will be doing:
+ Design, build, and deploy AI and generative AI solutions on cloud platforms (AWS, Azure, GCP).
+ Develop and optimize ML models, neural networks, and AI applications using OpenAI APIs, LangChain, LangChat, and vector databases.
+ Write clean, maintainable code in Python, Java, or C++, and streamline deployment with Kubernetes, Docker, and CI/CD pipelines.
+ Lead projects, mentor junior engineers, and foster innovation across teams.
+ Apply Agile practices (JIRA) to manage multiple projects and ensure timely, high-quality delivery.
+ Leverage domain expertise in pharma (clinical, safety, regulatory) to create compliant AI solutions.
You are:
+ Graduated in Computer Science or relevant university degrees
+ Minimum 4 years work experience in a similar position
+ Experienced in AI, generative AI, cloud platforms (AWS, Azure, GCP), and Snowflake.
+ Skilled in ML algorithms, AI frameworks, and programming (Python, Java, C++).
+ Proficient with automation, containerization, CI/CD, and DevOps practices.
+ Strong communicator, leader, and mentor with excellent problem-solving skills.
+ Agile-minded, adaptable, and eager to learn emerging technologies.
+ Knowledgeable in pharma industry domains (clinical, safety, regulatory).
#LI-Remote
**What ICON can offer you:**
Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent.
In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.
Our benefits examples include:
+ Various annual leave entitlements
+ A range of health insurance offerings to suit you and your family's needs.
+ Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
+ Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being.
+ Life assurance
+ Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others.
Visit our careers site ( to read more about the benefits ICON offers.
At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here ( in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles.
Are you a current ICON Employee? Please click here ( to apply
ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.
As a Machine Learning Engineer you will be joining the world's largest & most comprehensive clinical research organisation, powered by healthcare intelligence.
You can cover this position working fully remote from your current location in EMEA.
What you will be doing:
+ Design, build, and deploy AI and generative AI solutions on cloud platforms (AWS, Azure, GCP).
+ Develop and optimize ML models, neural networks, and AI applications using OpenAI APIs, LangChain, LangChat, and vector databases.
+ Write clean, maintainable code in Python, Java, or C++, and streamline deployment with Kubernetes, Docker, and CI/CD pipelines.
+ Lead projects, mentor junior engineers, and foster innovation across teams.
+ Apply Agile practices (JIRA) to manage multiple projects and ensure timely, high-quality delivery.
+ Leverage domain expertise in pharma (clinical, safety, regulatory) to create compliant AI solutions.
You are:
+ Graduated in Computer Science or relevant university degrees
+ Minimum 4 years work experience in a similar position
+ Experienced in AI, generative AI, cloud platforms (AWS, Azure, GCP), and Snowflake.
+ Skilled in ML algorithms, AI frameworks, and programming (Python, Java, C++).
+ Proficient with automation, containerization, CI/CD, and DevOps practices.
+ Strong communicator, leader, and mentor with excellent problem-solving skills.
+ Agile-minded, adaptable, and eager to learn emerging technologies.
+ Knowledgeable in pharma industry domains (clinical, safety, regulatory).
#LI-Remote
**What ICON can offer you:**
Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent.
In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.
Our benefits examples include:
+ Various annual leave entitlements
+ A range of health insurance offerings to suit you and your family's needs.
+ Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
+ Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being.
+ Life assurance
+ Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others.
Visit our careers site ( to read more about the benefits ICON offers.
At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here ( in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles.
Are you a current ICON Employee? Please click here ( to apply
This advertiser has chosen not to accept applicants from your region.
7
Machine Learning Engineer
CB2 0AA Sheffield, Yorkshire and the Humber
£65000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is a rapidly growing tech firm pushing the boundaries of AI and requires a talented Machine Learning Engineer for a fully remote position. You will be at the heart of developing and deploying sophisticated machine learning models that power our innovative solutions. This role offers the unique opportunity to work on challenging problems with a dedicated team of AI experts, contributing to projects that have a real-world impact. We are seeking individuals with a strong foundation in ML algorithms, software engineering principles, and experience in building scalable ML systems. Your expertise will be critical in translating complex research into robust, production-ready applications, fostering a culture of continuous improvement and technical excellence.
Responsibilities:
Qualifications:
Responsibilities:
- Design, build, and deploy scalable machine learning models and systems.
- Develop and implement ML pipelines for data processing, feature engineering, and model training.
- Collaborate with data scientists and researchers to bring models from prototype to production.
- Optimize ML models for performance, efficiency, and scalability.
- Develop and maintain robust code for ML applications, adhering to software engineering best practices.
- Monitor and evaluate the performance of deployed ML models, implementing necessary improvements.
- Research and experiment with new ML techniques, tools, and technologies.
- Work closely with engineering teams to integrate ML solutions into existing products and platforms.
- Contribute to the architecture and design of the ML infrastructure.
- Document ML models, systems, and processes thoroughly.
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- Proven experience in building and deploying machine learning models in a production environment.
- Strong programming skills in Python, including experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with software development best practices, including version control (Git) and CI/CD.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Experience with MLOps principles and practices is a plus.
- Ability to work independently and manage project timelines effectively.
This advertiser has chosen not to accept applicants from your region.
8
Machine Learning Engineer
S1 2LG Sheffield, Yorkshire and the Humber
£85000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a leader in AI innovation, is seeking a highly skilled Machine Learning Engineer to join their fully remote team. This is a crucial role where you will design, develop, and deploy cutting-edge machine learning models and algorithms to solve complex business problems and drive product innovation. You will work with large datasets, leverage advanced statistical techniques, and collaborate with data scientists and software engineers to bring intelligent solutions to life.
Key responsibilities include building and optimizing machine learning pipelines, experimenting with various algorithms, and evaluating model performance. You will translate business requirements into technical specifications for machine learning solutions and contribute to the deployment and monitoring of models in production environments. A strong background in computer science, mathematics, or a related quantitative field is essential, along with demonstrable experience in developing and deploying ML models using frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable.
The ideal candidate will possess exceptional programming skills (Python preferred), a deep understanding of statistical modeling, and a passion for staying at the forefront of AI research. Strong problem-solving abilities, a meticulous attention to detail, and excellent communication skills are necessary for effective collaboration and knowledge sharing. This is an unparalleled opportunity to contribute to groundbreaking AI projects and shape the future of technology from a remote location. If you are a creative and results-oriented Machine Learning Engineer eager to make a significant impact, we invite you to join our innovative team.
Key responsibilities include building and optimizing machine learning pipelines, experimenting with various algorithms, and evaluating model performance. You will translate business requirements into technical specifications for machine learning solutions and contribute to the deployment and monitoring of models in production environments. A strong background in computer science, mathematics, or a related quantitative field is essential, along with demonstrable experience in developing and deploying ML models using frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable.
The ideal candidate will possess exceptional programming skills (Python preferred), a deep understanding of statistical modeling, and a passion for staying at the forefront of AI research. Strong problem-solving abilities, a meticulous attention to detail, and excellent communication skills are necessary for effective collaboration and knowledge sharing. This is an unparalleled opportunity to contribute to groundbreaking AI projects and shape the future of technology from a remote location. If you are a creative and results-oriented Machine Learning Engineer eager to make a significant impact, we invite you to join our innovative team.
This advertiser has chosen not to accept applicants from your region.
9