Find your next tech and IT Job or contract Research Engineer

The Research Engineer is responsible for coordinating studies related to the development of new products, in accordance with the specifications defined in the requirements document. He thus participates in the development, implementation or improvement of IT solutions (applications, ERP, third-party products, etc.). The Research Engineer can also create prototypes, write specifications, perform acceptance testing or coordinate technical teams. Often called project manager, he is the one who interfaces between clients and various company departments (sales, marketing, research and development, manufacturing and testing). The Research Engineer can aspire to be promoted to Technical Director or Production Director.

Your search returns 4 results.
Permanent

Machine Learning Research Engineer

Cambridge University Press & Assessment

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 exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI 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. Optimise and modularise 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, prioritise, and manage own tasks aligned with business objectives. We are also looking for 2 (permanent) and 2 (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: Masters 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 optimisation, 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 or equivalent 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. If you would like to know more about the above opportunities and what will make you successful, please see the full job descriptions attached to the bottom of this vacancy on our careers site. 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, flexible , 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 are identified. 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 the website for guidance to understand your own eligibility based on the role you are applying for. Why join us Joining us is your opportunity to pursue potential. You'll belong to a collaborative team that's exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it's safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.

Start date As soon as possible
Location Cambridge, England, United Kingdom
Permanent

Senior Machine Learning Research Engineer

Cambridge University Press & Assessment

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 exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI 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, prioritise and review work of the team to meet business objectives Lead on technical standards for the team, and mentor junior team members. We are also looking for 2 (permanent) and 1 (permanent) . 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 : Masters 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 apply 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, flexible , 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 are identified. 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 the website for guidance to understand your own eligibility based on the role you are applying for. Why join us Joining us is your opportunity to pursue potential. You'll belong to a collaborative team that's exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it's safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.

Start date As soon as possible
Location Cambridge, England, United Kingdom
Permanent

Junior Machine Learning Research Engineer

Cambridge University Press & Assessment

Junior Machine Learning Research Engineer Salary: £40,000-£52,000 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time/Permanent (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment. This is an exciting opportunity for two Junior Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. About the Role As a Junior 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: Help develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products. Optimise and modularise 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, prioritise, and manage own tasks aligned with business objectives. We are also looking for 2 (1x permanent, 1x fixed term) and 1 (permanent) . 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: First class Bachelors or Masters degree (or equivalent qualifications and experience) in machine learning or AI/computer science with a substantial machine learning component. Excellent programming skills in languages such as Python and shell scripting with a strong focus on code optimisation, modular design, and efficiency. Demonstrable experience in developing, training, and deploying models using frameworks like PyTorch and TensorFlow. Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement. Excellent communication skills. Demonstrable commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques Desirable: Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.Industry experience in applying ML to 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. PhD (or equivalent qualifications and experience) in machine learning or AI/computer science Exposure to research-oriented work or contributions to open-source projects in the AI domain. Internship experience in AI/ML Experience in contributing to patents, or academic papers related to ML. 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, flexible rewards 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 also offer flexible and hybrid working options from day one. We will consider any work arrangements if you wish to work flexibly or require adjustments due to a disability. Ready to pursue 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 are identified. Interviews are scheduled to take place as deemed suitable before or after the closing date. Please note that successful applicants will be subject to satisfactory background checks, including a DBS check, 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 the website for guidance to understand your own eligibility based on the role you are applying for. Why join us Joining us is your opportunity to pursue potential. You'll belong to a collaborative team that's exploring new and better ways to serve students, teachers, and researchers across the globe—for the benefit of individuals, society, and the world. Sharing our mission will inspire your own growth, development, and progress in an environment that embraces difference, change, and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where everyone has a voice, and where we learn continuously to improve together. Ensuring that everyone feels they belong is essential to who we are and to the contribution we make to society and our planet. We believe better outcomes come through diversity of thought, background, and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.

Start date As soon as possible
Location Cambridge, England, United Kingdom
Permanent

Research Engineer (12 Month Fixed Term Contract)

Rise Technical Recruitment Ltd

Research Engineer - (12 Month Fixed Term Contract) Northeast England (Hybrid after probation) £32,000 - £42,000 + 32 Days Holiday + Healthcare Plan + Training + Pension An exciting opportunity is available for an engineer to join a specialist team working on the development of next-generation infrared gas sensing technology. The role involves hands-on development and refinement of components used in optical sensing systems. You'll take responsibility for building and testing prototypes, evaluating performance, and contributing to design improvements that support future manufacturing. You'll be joining a small, focused team working on a technically challenging and impactful project within a regulated environment. An ideal person would have strong experimental skills, basic electronics knowledge, and familiarity with digital communication protocols such as serial comms. Practical experience with adhesives, vacuum systems, and optical sensor design would be highly beneficial. Being eligible for SC clearance is a must for this position. This is a rare opportunity to work at the forefront of gas sensor innovation, contributing to research that supports real-world applications in challenging and safety-critical environments. This fixed-term position is ideal for someone with a background in applied science, such as material science or physics or electronics who enjoys hands-on prototyping and practical experimentation. Skilled in either Python/Matlab/Pandas or Numpy is a must have for data analysis. The Role: • Design and optimise sealed IR gas cell prototypes • Conduct and document sensor performance testing • Manage and deliver research activities from start to finish • Support transfer of research outcomes into production The Person: • Degree-qualified in applied science, electronics engineering, physics, or a related field such as material science • Hands-on experience with electronics, experimental setups, and software for data analysis (Python/MATLAB/Pandas or Numpy) • Confident in managing practical research work with minimal oversight • Strong problem-solving skills and attention to detail Reference Number: BBBH - 257269 To apply for this role or to be considered for further roles, please click \"Apply Now\" or contact Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.

Start date As soon as possible
Pay £32k-42k
Location Stokesley, England, United Kingdom

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Frequently asked questions about working as a Research Engineer

What is the role of a Research Engineer

The research engineer is the professional involved in all stages of implementing a technical project. He is present at all stages of product design... From the first phase of manufacturing, he handles mockups and prototyping. He also actively participates in the different phases of product improvement. He reports to a department head and generally works in a design office or in a large institution such as the CNRS.

How much does a Research Engineer charge

The daily rate of a research engineer is around 400 euros. Obviously, this depends on the sector in question. The salary for an entry-level research engineer varies between £2,200 and £2,800 per month at the beginning of their career.

What is the definition of a Research Engineer

The research engineer serves as project manager in the company. He works either in a large corporation or in a design office. The objective of his work within the company is to monitor, ensure proper project coordination as well as the improvement of a construction site or product. As an expert, he plays a major role in the company as he creates the link between different branches in the product's design and production process (marketing, research department, sales, development...). Note that the research engineer must follow and comply with specifications. It is his role to formulate the right recommendations to his collaborators to successfully complete the project.

What type of mission can a Research Engineer handle

The research engineer handles various tasks within the company. He acts as a true project manager among other roles. Below are his main duties: • Coordinates studies related to the development of new projects (products, services...) • Ensures monitoring of the design process to ensure everything complies with specifications defined in the requirements document • Collaborates with research engineers from other sectors (to establish a complete product study) • Responsible for the entire execution of a project (creates prototypes, tests and controls...)

What are the main skills of a Research Engineer

The research engineer must have the following skills: • Good command of English • Production and project management • Analysis of specifications • Communication techniques • Have good knowledge of the project development field (electrical engineering, electronics, computer science or networks...)

What is the ideal profile for a Research Engineer

The personal qualities that a good research engineer must have are numerous. Here are some of the essential ones for this position: • Team work mindset • Advanced technical knowledge • Stress management • Creativity and innovation • Adaptability • Good communication • Rigorous and methodical

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