18 Data Science jobs in Cambridge

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.

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.

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.

• Research, design, and build ML models, pipelines, and systems, often in novel or resource-constrained environments.
• Rapidly prototype and test feasibility while moving concepts toward client-ready demonstrators and deployable products.
• Solve problems across the entire ML development cycle: ideation, data preparation, model development and refinement, and packaging for deployment.
• Collaborate across engineering and scientific domains to explore pioneering technologies and deliver impactful solutions.

• A 2:1 or above in a relevant discipline (Physics, Maths, Engineering, Computer Science, or similar). Advanced degrees or equivalent R&D experience are highly valued.
• Strong Python programming skills.
• Hands-on experience with frameworks such as TensorFlow, PyTorch, or JAX.
• Experience designing ML solutions in novel problem spaces or constrained environments (e.g., edge processing).
• Familiarity with a broad range of ML techniques (computer vision, generative models, audio processing, etc.), or the ability to adapt quickly to new areas.
• Exposure to GPU programming (e.g., CUDA) is a plus.
• Ability to communicate complex technical ideas clearly to colleagues and stakeholders.

• Work on projects that have meaningful real-world impact.
• Contribute ideas in a flat, collaborative environment that values openness and innovation.
• Access well-equipped labs and modern offices with on-site amenities.
• Benefit from clear opportunities for growth into project leadership or client-facing roles, supported by experienced peers.

• 10% employer pension contribution (+3% personal)
• Private medical insurance for you and your family
• Life insurance
• 25 days annual leave plus bank holidays
• Enhanced family leave
• Electric vehicle leasing & cycle-to-work scheme
• Access to social and sports clubs, on-site gym, and local discounts