134 Data Scientists jobs in the United Kingdom

Spearheading the integration of machine learning into cutting-edge electronics

This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge.

You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What’s special about this group is they do this dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next. 

Requirements:

• Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch
li>Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly
• A top degree in a STEM subject
• UK national

While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc).

Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals’ expertise. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this position.

Another top job from ECM, the high-tech recruitment experts.    

Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV.

Please apply (quoting ref: CV27413 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

At Permutable AI, were building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our goal is to dramatically accelerate how financial information is processed, understood, and acted on, enabling faster, smarter decisions for financial analysts. As a small, ambitious start-up, youll work directly with our founder and a core team of talented.

WHJS1_UKTJ

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.

Candidates who apply through Talent Hero, once vetted, are placed with US companies actively building intelligent, AI-powered products. Well match you with the right .

WHJS1_UKTJ

ML Ops Engineer – Motion Capture Technology | Hybrid (Oxford, UK)

An exciting opportunity has arisen for an ML Ops Engineer to join a world-leading technology company specialising in high-performance motion capture solutions for the entertainment, engineering, and life sciences industries. Their products are widely used in feature films, gaming, commercials, and cutting-edge research in biomechanics, robotics, and beyond.

You’ll be part of a collaborative R&D team that’s pushing the boundaries of motion capture technology, working in a company with a strong track record of innovation and global impact.

The Role:

You will join the ML Operations team, supporting the development of next-generation motion capture products. The role involves provisioning and maintaining a modern ML Ops stack, which includes data acquisition pipelines, data management systems, and ML model training infrastructure. This stack combines self-managed on-premises systems with cloud-based AWS resources.

As an ML Ops Engineer, you’ll have the opportunity to influence technical direction, propose new solutions, and potentially lead projects within the team.

The company offers a hybrid working model , with a head office in a major academic city. There is no on-call expectation outside of core office hours .

Key Responsibilities:

• Manage and maintain on-premise Kubernetes clusters

• Implement and maintain ML Ops pipelines using Kubeflow and similar tools (e.g., MLflow)

• Develop scripts and tooling in Python; manage Linux system configurations

• Leverage AWS infrastructure (Cognito, S3, EC2, Lambda, etc.)

• Integrate ML toolkits (e.g., PyTorch, Lightning) into ML Ops workflows

• Design and deploy robust ML Ops solutions across various technologies

• Contribute to the technical strategy and suggest improvements to the ML Ops stack

Required Skills and Experience:

• Solid experience managing on-premise Kubernetes clusters

• Strong knowledge of Kubeflow or similar ML Ops platforms

• Proficiency in Python programming, Linux systems, and scripting

• Experience with AWS services (Cognito, S3, EC2, Lambda, etc.)

• Familiarity with ML frameworks such as PyTorch or Lightning, and understanding their role in ML Ops pipelines

• Ability to design and implement comprehensive ML Ops solutions

Desirable Skills:

• Background in DevOps with CI/CD experience (e.g., Jenkins)

• Knowledge of infrastructure-as-code tools (e.g., Ansible)

• Interest in human motion capture, sports, or animation technologies

• Familiarity with C++

Benefits Package:

• Competitive salary

• 10% company pension contribution

• 25 days annual leave + bank holidays

• Life cover

• Private medical insurance with optical/dental coverage

• Permanent health insurance

• Cycle to work scheme

• Free on-site parking

If you’re passionate about ML Ops and looking to work on pioneering technology in a growing, innovative environment, we’d love to hear from you.

Apply now to be part of a team shaping the future of motion capture technology.

We are looking for an excellent ML Ops Engineer to join our research and development team.

Key Responsibilities

This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack.

This stack covers data acquisition pipelines, data management and ML model training infrastructure (SW and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS infrastructure.

You will have opportunities to guide the technical direction of the ML Ops team, suggest new areas of development and the potential to lead your own project.

Required Skills, Knowledge and Expertise

You will have relevant academic (research Masters level) and/or industry experience.

• Excellent knowledge and experience of managing an on-premise Kubenetes cluster.
• Excellent knowledge of Kubeflow and similar systems, e.g. MLflow
• Good programming ability in Python with familiarity with Linux systems including scripting and system configuration.
• Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc.
• Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools.
• Be able to design and implement MLOps solutions covering many different technologies.

Desirable Skills

• Background in DevOps with exposure to CI systems, e.g. Jenkins
• Familiarity with infrastructure as code, e.g. Ansible
• Experience, aptitude, and a desire to work with human motion, sport, animation tools and techniques.
• Familiarity with C++.

MACHINE LEARNING RESEARCH ENGINEER

• Salary: 48,330 - 62,835
• Location: Cambridge - Triangle/Hybrid (2 days per week in the office)
• Contract: Full Time (35 hours per week), Permanent

Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge.

This is an excitingopportunity for MachineLearning Research Engineers to join our innovative Applied AI team.You'llcontribute to developing, deploying, andmaintainingcutting-edgeAI capabilities that drive the success of Cambridge English's products and services.

About the Role

As a Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs.

Key Responsibilities:

• Develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products.
• Optimize and modularize models for reusability and performance.
• Collaborate with product, validation, and business teams to transform capabilities into impactful product features.
• Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning.
• Plan, prioritize, and manage own tasks aligned with business objectives.

We are also looking for 2Junior Machine Learning Research Engineers (permanent) and 2Senior Machine Learning Research Engineers (1x permanent, 1x fixed-term). Please visit the linked job postings to apply for these roles.

About You

To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions.

Essential Qualifications & Skills:

• Master's degree(or equivalent qualifications and experience)in machine learning or AI/computer science with substantial machine learning component
• Proven hands-on industry experience (minimum 2 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments.
• Advanced programming skills in languages such as Python with a strong focus on code optimization, modular design, and efficiency.
• Deep expertise in developing, training, and deploying models using frameworks like PyTorch and TensorFlow.
• Demonstrated experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS).
• Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement.
• Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.
• Exceptional communication skills for articulating complex technical concepts to both technical and non-technical stakeholders.
• Demonstrated commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques to solve business problems.

Desirable:

• PhD orequivalent qualification and experience in Machine learning or AI/Computer Science
• Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems.
• Experience applying machine learning to educational assessment and learning solutions.
• Hands-on experience with Large Language Models (LLMs) or foundation models, including fine-tuning and adapting models for specific, production-level applications.

• Contributions to patents or peer-reviewed research publications in machine learning or related AI fields.

Rewards and benefits

We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexiblerewards package, featuring family-friendly and planet-friendly benefits including:

• 28 days annual leave plus bank holidays
• Private medical and Permanent Health Insurance
• Discretionary annual bonus
• Group personal pension scheme
• Life assurance up to 4 x annual salary
• Green travel schemes

We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location. We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability.

Ready to pursue your potential? Apply now.

We review applications on an ongoing basis, with a closing date for all applications being 28th September, although we may close it earlier if suitable candidates areidentified. Interviews are scheduled to take place as deemed appropriate before or after the closing date.

Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry.

Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to thegov websitefor guidance to understand your own eligibility based on the role you are applying for.

MACHINE LEARNING RESEARCH ENGINEER

• Salary: 48,330 - 62,835
• Location: Cambridge - Triangle/Hybrid (2 days per week in the office)
• Contract: Full Time (35 hours per week), Permanent

Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge.

This is an excitingopportunity for MachineLearning Research Engineers to join our innovative Applied AI team.You'llcontribute to developing, deploying, andmaintainingcutting-edgeAI capabilities that drive the success of Cambridge English's products and services.

About the Role

As a Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs.

Key Responsibilities:

• Develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products.
• Optimize and modularize models for reusability and performance.
• Collaborate with product, validation, and business teams to transform capabilities into impactful product features.
• Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning.
• Plan, prioritize, and manage own tasks aligned with business objectives.

We are also looking for 2Junior Machine Learning Research Engineers (permanent) and 2Senior Machine Learning Research Engineers (1x permanent, 1x fixed-term). Please visit the linked job postings to apply for these roles.

About You

To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions.

Essential Qualifications & Skills:

• Master's degree(or equivalent qualifications and experience)in machine learning or AI/computer science with substantial machine learning component
• Proven hands-on industry experience (minimum 2 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments.
• Advanced programming skills in languages such as Python with a strong focus on code optimization, modular design, and efficiency.
• Deep expertise in developing, training, and deploying models using frameworks like PyTorch and TensorFlow.
• Demonstrated experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS).
• Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement.
• Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.
• Exceptional communication skills for articulating complex technical concepts to both technical and non-technical stakeholders.
• Demonstrated commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques to solve business problems.

Desirable:

• PhD orequivalent qualification and experience in Machine learning or AI/Computer Science
• Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems.
• Experience applying machine learning to educational assessment and learning solutions.
• Hands-on experience with Large Language Models (LLMs) or foundation models, including fine-tuning and adapting models for specific, production-level applications.

• Contributions to patents or peer-reviewed research publications in machine learning or related AI fields.

Rewards and benefits

We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexiblerewards package, featuring family-friendly and planet-friendly benefits including:

• 28 days annual leave plus bank holidays
• Private medical and Permanent Health Insurance
• Discretionary annual bonus
• Group personal pension scheme
• Life assurance up to 4 x annual salary
• Green travel schemes

We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location. We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability.

Ready to pursue your potential? Apply now.

We review applications on an ongoing basis, with a closing date for all applications being 28th September, although we may close it earlier if suitable candidates areidentified. Interviews are scheduled to take place as deemed appropriate before or after the closing date.

Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry.

Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to thegov websitefor guidance to understand your own eligibility based on the role you are applying for.