55 Research Engineer jobs in the United Kingdom

We have a current opportunity for a Robotics Research Engineer on a Temporary basis. The position will be based in Abingdon. For further information about this position please apply.

Job Description / Job Scope:

Provide Research Engineering expertise to research and technology projects. Contribute to developing the research engineering capability of the organisation. Supporting RACE projects and the execution of advanced research project.

* Conducting research independently and in collaboration with others, contributing to RRDD deliverables
* Responsible for producing reports as required for project deliverables
* Responsible for Presenting and publishing work
* Designing and developing hardware and software test platforms
* Supporting other engineers, scientists, and projects with research expertise
* Support projects to develop or improve/extend research over timescales of weeks to years
* Diagnose issues and design solutions considering full technical and human context
* Contribute to building relationships with internal and external partners to analyse and establish requirements, deliver projects, and define future collaborations
* Manage projects and other activities to ensure the aims are achieved with appropriate quality standards, timescales and costs and partners are kept informed
* Provide research advice and help to colleagues, including strategic aspects such as project scoping, technology choices, make vs buy decisions, sustainability planning
* Contribute to improving UKAEA's research culture and practices
* Represent RRDD externally with customers, collaborators, and at external events

Expertise in one or more of the following:


* Manufacturing processes deployable by robots (laser cleaning, cutting, additive manufacturing, surface preparation, inspection)
* Radiation hardening technologies / Radiation tolerant electronics
* ML / AI / Digital Infrastructure
* Mechanical systems, sensing / non-destructive testing, actuation mechanisms
* Dynamic modelling and systems identification
* Control theory
* Intelligent control for manipulation or position control

Qualifications Required:

* Expertise in any specialist area specified in the Job Scope for this position
* Degree in a scientific, engineering, or technical subject or equivalent knowledge and experience
* Understanding of Engineering design process principles and application
* Broad understanding of Robotics
* Appetite and ability to research and learn about new technologies and domains and to judge how to apply and share this knowledge
* Good interpersonal and communication skills, and a proven ability to function as part of a team
* Ability to communicate effectively, collaborate and influence people with various roles and backgrounds
* An excellent working knowledge of English

Experience Required

* Experience of developing high-quality software used in relevant applications
* Experience of applying, adapting, and promoting good development practices throughout the entire research lifecycle
* Experience in Research Engineering

Desired Experience:

* Established publication record
* Postgraduate research degree or equivalent experience.
* For candidates with a software background - experience in ROS, experience with Unreal Engine, experience in the design of human-machine interfaces, experience in applied AI or ML for operations
* Experience of on-site deployments or demonstrations of research
* Experience of supporting collaborative research activities
* Experience of supervising and mentoring others in a research project context
* Experience of conducting research in an operational environment with change control, monitoring and support arrangements
* Experience of developing risk assessments and mitigation plans in relation to physical trials
* Knowledge of public sector procurement processes
* Chartered Engineer or Physicist qualification

Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants.

WHJS1_UKTJ

About Arondite

Arondite is building the next generation of autonomous systems, software and AI to solve the world's most important frontier problems across defence, critical industries and the humanitarian sector. We are looking for mission-driven engineers who want to be part of a highly motivated team and build things that make a positive difference.

The Role

Arondite is looking for talented and flexible AI engineers to work on machine learning models for a range of autonomous systems, operating in the air, on the land and under the sea.

You will be developing models using open-source tools such as OpenCV and PyTorch for inclusion within fully integrated hardware/software products. You will be building algorithms to aid in areas such as navigation, image processing, sensor data processing and sensor fusion.

As a member of a company building integrated products, you will be able to influence the design and implementation of the data collection mechanisms, leading to more efficient models and faster training. You will also work closely with end users to rapidly understand and improve real-world model performance.

As an early hire within a start-up, you will have the opportunity to set up and drive AI development within the company. You will potentially lead the function and build a broader team as we continue to expand and build more diverse products. Regardless of previous experience, you will review the output of other engineers to check their work and provide feedback - everyone’s input is valued.

Requirements

You should apply if you have:

• BSc/BEng or MSc/MEng in AI, Computer Science, Data Science, Engineering or a related technical subject
• Strong programming skills in Python, as well as C++, Java or Rust
• Practical experience in developing machine learning models for sensor data processing
• Keen interest in applying cutting-edge machine learning approaches to real-world problems
• Interest in optimising data collection to improve machine learning performance
• Good understanding of resource optimisation of AI models to run on discrete / edge platforms

Note: The above describes the perfect candidate. We encourage you to apply even if you only partially fulfil this list.

Nice to have:

• Knowledge of MLOps in enabling machine learning to be deployed and maintained in end-user products
• Image and data processing for noise reduction / filtering
• Experience in visual representation of complex sensor data

All engineers at Arondite are expected to:

• Communicate effectively within a multi-disciplinary team of hardware, software and AI engineers
• Be resourceful and open-minded in seeking solutions to engineering challenges
• Teach themselves to be the expert, if we don’t already have one in a particular area

Please note: This is an in-person position based in London. The successful candidate must by the start of their employment have permission to work in the UK.

Benefits

We offer:

• The opportunity to work with world-class engineers on a wide range of technologies
• Free training and education to quickly fill knowledge gaps
• The best resources and equipment required to do your job
• Exposure to working closely with customers on real problems
• Free meals and snacks in the office
• 7% employer pension contribution
• Employee Stock Options for everyone, so we all have a stake in the company’s growth
• Relocation support

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.

Do you have knowledge of Ultrasonic Transducer technology? Do you want to work within the Renewable Energy Industry? An innovative Research Engineer with good knowledge of Ultrasonic Transducer design, piezoelectric sensors and FEA modeling will join the talented team of a thriving technology company in the sustainability sector.

Youll undertake research and experimental testing of the electrical, a.

Senior Machine Learning Research Engineer

Salary: 62,860 - 84,070

Location: Cambridge - Triangle/Hybrid (2 days per week in the office)

Contracts:

• 1x Permanent, Full Time (35 hours per week)
• 1x Fixed Term (18 months), Full Time (35 hours per week)

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 Senior 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:

• Technical lead in designing full-cycle AI solutions, including data collection and pipelines for reusable analysis, and monitoring and maintenance regimes for continuous development.
• Research, develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products.
• Estimate time, cost and outcomes of technical solutions, and manage risks to ensure prompt delivery.
• Collaborate with product, validation, and business teams to transform capabilities into impactful product features, while setting appropriate expectations.
• Plan work and resources, including adoption of new tools, to ensure that the machine learning team stay at the forefront of AI and machine learning trends and position Cambridge as a leader in AI-driven.
• Plan, prioritize and review work of the team to meet business objectives
• Lead on technical standards for the team, and mentor junior team members.

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 qualification and experience) in machine learning or AI/computer science with substantial machine learning component.
• Proven hands-on industry experience (minimum 5 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments.
• Strong track record of successfully translating academic research into real-world applications and products.
• Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery
• Deep experience in Python and PyTorch/TensorFlow.
• Industry experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS).
• 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, translating business requirements into technical solutions.
• Proactiveness in communicating issues and suggesting solutions.
• Stay current with state-of-the-art research and applying emerging AI techniques to solve business problems.
• Ability to supervise sub-teams, lead projects, mentor junior colleagues and lead on technical standards maintenance.

Desirable :

• PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field.
• Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems.
• Experience in applying machine learning to educational assessment and learning solutions
• Experience in leading research initiatives, contributing to patents, or publishing papers 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 thegovwebsite for guidance to understand your own eligibility based on the role you are applying for.