155 Research Engineer jobs in the United Kingdom

Job Title: Research Engineer/Scientist

Location: Romsey

Salary: Up to £40,000

Yoh are working in collaboration with an exciting business who are growing their team with the addition of a research engineer/scientist to join the team to help with groundbreaker research and implementation in the water and sensor industry.

We are on the look out for an inquisitive individual who would be able to bring both solutions and new ideas to the team. This position is a varied role and likely for every day to be different. This could be setting up new tests and experiments, to analysing the sensor data that was collected or troubleshooting electronics.

Some of the skills to be successful in this role would include:

• Experience working with Python and SQL
• Research experience or background, this could be from education or commercial work.
• Understanding of sensors or similar would be advantages
• A background in Electrochemistry would be great to have, but not necessary for his position.

Candidates with a research background and an interest in creating new products for an exciting industry like the water industry, I would encourage candidates to apply.

Research Engineer

£43 – 56 per hour

Morson are currently recruiting for a Project Engineer to support the research department of one of our Aerospace manufacturers. You will be leading a composites bonding project, managing supplier relationships and overseeing material testing. We're ideally looking for someone with experience of the processing of composite materials that has worked with composite .

WHJS1_UKTJ

The Ellison Institute of Technology (EIT) Oxford’s purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to humanity’s most challenging problems. 

EIT Oxford will ensure scientific discoveries and pioneering science are turned into products for the benefit of society that can have high-impact worldwide and, over time, be commercialised to ensure long-term sustainability. 

Led by a faculty of world experts, EIT Oxford seeks to solve the world’s most challenging problems across four high-risk, high-reward, high-impact humane endeavours: health and medical science; food security and sustainable agriculture; climate change and clean energy; and government innovation in an era of artificial intelligence. 

EIT Oxford is investing significant resources in a new world-class research and development facility in the Oxford Science Park. Set for completion in 2027, the state-of-the-art campus includes 300,000 sq ft of research laboratories, an oncology and preventative care clinic, and educational and meeting spaces. Together, they create the perfect environment for EIT Oxford experts to take ground-breaking ideas from research to broad implementation. The new facility will further EIT’s current partnership with the University of Oxford and become the new home for Ellison Scholars. 

EIT Oxford is committed to cultivating a community where excellence is achieved through collaboration, trust, innovation and tenacity. We foster an environment where everyone’s experience and expertise are valued. We are curious and resilient in our efforts to drive long-term, sustainable innovation to meet humanity’s most enduring challenges. 

 
Job summary 
We are looking for Research Engineers who will work with large scale   datasets from different modalities, including biomolecular data, such as proteins and DNA, 2D and 3D images or graph-structured data. You will design and implement advanced ML architectures and workflows encompassing multimodal generative models and physics-based modelling. 

Responsibilities 

• Design and implement advanced ML architectures 

• Develop robust model evaluation pipelines. 

• Optimize model architectures for performance and reliability. 

• Drive best practices in code quality, reproducibility, and collaboration. 

• Build and maintain large-scale ML systems that process biomolecule datasets. 

• Work with domain specialists to incorporate wet lab data and HPC simulations. 

• Help to build and maintain large-scale generative models of molecular data. 

Requirements

Qualifications 

• Advanced degree in Computer Science, Physics, Chemistry, or Materials Science with a strong ML focus. 

• Hands-on experience in GPU-based computing, HPC integrations, and distributed system architectures. 

• Proficiency with deep learning frameworks (e.g. PyTorch) and scientific software (e.g., molecular simulation). 

• Strong understanding of data modeling and pipeline optimization for large-scale experiments. 

• Ability to collaborate effectively with multidisciplinary teams and communicate complex concepts clearly. 

Research Engineer

About iProov 

iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. 

This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. 

The Role
 

Reports to: VP, Research

Location: WeWork Waterloo, London - Hybrid

Comp: £40k-£0k (Base) + Company Performance Bonus (10%) + Share Options + iProov Benefits

We’re looking for a Research Engineer who thrives at the cutting edge of technology — someone who doesn’t just ask questions but brings ideas, experiments, and solutions to the table. You’ll be part of a collaborative, low-ego team pushing the boundaries of liveness verification and biometric security to protect millions of users worldwide.

In this role, you’ll spend most of your time exploring and innovating, developing new biometric tests — from palm and fingerprint matching to advanced presentation-attack detection — to stay one step ahead of attackers.

You’ll design acquisition systems and then stress-test them by trying to spoof and break your own work, ensuring our defenses are ready before real-world threats appear.

You’ll tackle complex challenges in biometric acquisition, improve data quality, and create samples that closely mimic contact-based systems. Most importantly, you’ll anticipate and defend against threats that haven’t even been imagined yet, keeping our technology secure long after it goes live.

As a Research Engineer, you will use state-of-the-art Deep Learning technology to develop creative solutions for exciting, industry-defining problems.

• Take ownership of research areas in computer vision, machine learning, and biometrics.
• Work collaboratively with the research team to find the best solutions.
• Communicate research outcomes and findings across the company.
• Contribute to the broader research strategy of the team.
• Challenge the existing solutions and improve the status quo.
• Contribute to a strong team ethic, encouraging psychological safety and inclusivity

• A Master's or PhD in a quantitative field such as computer science, engineering, or computational neuroscience.
• Experience in machine learning and computer vision.
• Strong mathematical skills.
• Experience in developing research projects using Python.
• A solid understanding of machine learning techniques, including Neural Networks.
• Familiarity with Python libraries such as NumPy, Pandas, and Scikit-learn.
• Experience with Deep Learning libraries like PyTorch or TensorFlow.
• The ability to process large amounts of data, including unstructured data
• Excellent communication skills for understanding and explaining complex concepts.
• Strong programming skills with a good grasp of data structures, object-oriented programming, and software engineering principles.
• Good time management and organizational skills.

Great to have (but not essential)

• Understanding of multiple machine learning disciplines, such as Image Processing, Computer Vision, Signal Processing, Natural Language Processing, and Pattern Recognition.
• Experience with Docker and Google Cloud Platform.
• Experience with DevOps tools for experiment tracking, automation, and dataset versioning.
• You have excellent interpersonal skills and enjoy collaborating to refine solutions.
• You are naturally curious and love exploring new ideas.
• You have the perseverance and desire to solve challenging problems.
• You feel confident in suggesting and discussing your ideas.
• You enjoy the exploratory and dynamic nature of research.
• You are eager to learn new techniques and technologies

• 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service)
• Growth Shares allocated after passing probation (6 months of service)
• Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme
• Nursery Sacrifice Scheme
• Work Overseas Perk - Work globally for up to 2 weeks
• Life Assurance
• SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family
• Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist
• Award winning L&D platform with personal allocated training budgets
• Enhanced paid family leave
• Pension - 5% employee, 3% employer
• Flexible hybrid working environment
• Free Barista Coffee/Tea, biscuits with fruit in the WeWork office
• Free access to WeWork discounts and free online well-being sessions
• Vitality Health - a range of options available on this below
   

The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example:

• Private Health cover including Dental, Optical, and Audiology 
• 50% off monthly gym memberships 
• Apple watches significantly discounted based member vitality status 
• Half price trainers with Runners Need 
• Weekly rewards – Free coffee with Café Nero 
• Monthly rewards – Free Cinema ticket 
• Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status 
• Amazon prime free months based on activity 
• Up to 25% cashback at Waitrose when buying healthy foods 
• 75% off stays at Champneys Health Spas 
• Allen Carr’s £299 no smoking programme for free 
• Discounts on Weight Watchers 
• 50%-80% off Comprehensive Private Health screenings

Our Culture & Recruitment Process

At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected.

As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of age, disability, gender reassignment, marriage or civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation.

Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to

Infrastructure Research Engineer

European Tech Recruit are working closely with a multinational telecommunications company, based in Edinburgh, who are looking for a talented Infrastructure Research Engineer to join their team.

This role can be available on either a perm or 12 month rolling PAYE contract.

In this role you will join a research lab focused on shaping the future of data center infrastructure. As a Research Engineer you will collaborate with leading scientists, tackle cutting-edge research problems in systems, foster influence in academia and industry through technological innovations, and cultivate partnerships with local and global research teams.

Responsibilities as Infrastructure Research Engineer :

• Contribute to the research and development team's exploration of emerging technologies and systems.
• Engage in team projects to conduct system design, analysis, and prototype development.
• Play a role in selecting research problems, designing solutions, analysing results, and building prototypes to showcase the advantages and challenges of these technologies across various data center and cloud applications.
• Design, implement, and evaluate key technologies and associated algorithms.
• Actively engage with academia, industry, and open-source communities to establish influence and contribute to the broader technological landscape.

Requirements:

• Bachelors or Master's degree in Computer Science or a related technical field.
• Be comfortable with research methodology.
• Be comfortable with system design and implementation.
• Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing.
• Good programming skills, master of at least one language, such as C/C++, Go, Python etc.
• Good communication skills.

Desirable Experience:

• PhD in operating systems, distributed systems etc.
• Published papers in top journals/conferences.

If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to

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• Implement and optimize state-of-the-art machine learning algorithms and deep learning models.
• Develop and maintain robust software prototypes for AI research projects.
• Collaborate with AI researchers to design and execute experiments, analyze results, and iterate on models.
• Contribute to the development of scalable and efficient AI systems.
• Assist in the deployment and integration of research prototypes into larger systems or products.
• Stay updated on the latest advancements in AI, machine learning, and related fields.
• Troubleshoot and debug complex technical issues in research code and systems.
• Document research methodologies, findings, and code effectively.
• Participate in team discussions and contribute to the technical direction of research projects.
• Prepare research findings for internal and external dissemination.

• Master's degree or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field.
• Minimum of 3 years of experience in AI/ML research or engineering, with a strong academic background.
• Proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Solid understanding of machine learning concepts, algorithms, and experimental design.
• Experience with software development best practices, including version control (Git) and testing.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
• Excellent problem-solving abilities and attention to detail.
• Strong communication and collaboration skills, essential for a **fully remote** work environment.
• Ability to work independently and manage multiple tasks effectively.
• A demonstrable passion for AI research and development.

• Conduct research and development in areas such as machine learning, deep learning, natural language processing, and computer vision.
• Design, implement, and evaluate AI models and algorithms.
• Develop and maintain AI infrastructure, including data pipelines and training systems.
• Collaborate with product teams to integrate AI solutions into existing and new products.
• Stay current with the latest advancements in AI research and apply them to practical problems.
• Write high-quality code in Python or other relevant programming languages.
• Contribute to scientific publications and present research findings.
• Ensure the ethical and responsible development of AI technologies.
• Work effectively in a hybrid team environment, contributing to both remote and in-office activities.
• Mentor junior researchers and engineers.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong theoretical and practical understanding of AI/ML concepts.
• Proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow or PyTorch.
• Experience with data manipulation and analysis tools.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, suitable for a hybrid work setting.
• Ability to work independently and manage research projects effectively.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Publications in top-tier AI conferences or journals are highly desirable.

• Conduct cutting-edge research in AI and machine learning domains.
• Design, develop, and implement advanced AI algorithms and models.
• Process and analyse large datasets to train and fine-tune AI systems.
• Evaluate the performance of AI models and identify areas for improvement.
• Collaborate with other researchers and engineers to integrate AI solutions into products.
• Stay current with the latest advancements in AI research and publish findings.
• Develop prototypes and proof-of-concepts for new AI applications.
• Contribute to the design and architecture of scalable AI systems.
• Write clear and concise technical documentation and reports.
• Present research findings internally and at international conferences.
• Engage with potential collaborators and stakeholders.
• Ensure ethical considerations and responsible AI practices are followed.

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Demonstrated experience in AI research and development, with a portfolio of projects or publications.
• Strong programming skills in Python, along with experience in AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• In-depth understanding of machine learning algorithms, deep learning architectures, and statistical modelling.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively in a research-intensive environment.
• Experience in specific AI subfields such as NLP or computer vision is a plus.
• Must be willing to work on-site at our Glasgow facility.