199 Research Engineer jobs in the United Kingdom

About Electric Twin

Electric Twin is building the future of strategic decision-making. We use large language models (LLMs) to simulate human behaviour, allowing our clients to create science-based synthetic populations that mirror their target markets and research demographics.

Our platform provides a suite of investigative tools—from qualitative polling and quantitative analysis to simulated focus groups and one-on-one discussions. This enables leaders in business and government to investigate outcomes in near real-time, continuously refine ideas with powerful feedback, and make critical decisions with confidence.

With a unique proposition in the rapidly developing generative AI sector, Electric Twin is poised for significant growth. We are backed by world-class leadership, including:

• Alex Cooper (Co-founder): Former COO at UNDO, Director of Mass Testing for the UK's Department of Health, and Advisor for 10 Downing Street.
• Ben Warner (Co-founder): Former Chief Advisor on Digital and Data to the UK Prime Minister, Data Scientist at Faculty, and EPSRC Research Fellow at UCL.

We build science-based synthetic populations and the tools to interact with them. The world's leading companies and governments use Electric Twin to make better decisions. Now, we are looking for brilliant minds to join us on this mission.

The Role

As a Research Engineer at Electric Twin, you will focus on one of the most exciting and challenging applications of AI: modeling human behaviour. Your primary role is to pioneer the application of existing LLMs to create believable, consistent, and scientifically-grounded AI agents. You will design the cognitive architecture of our synthetic agents, figure out how to evaluate their behaviour in ambiguous scenarios, and develop the experimental methods to validate our simulations.

You will be at the forefront of an emerging field, tackling questions like: How can we use an LLM to give an agent a persistent memory? How do we ensure a population of agents behaves in a way that is statistically representative of a real demographic? How do we measure and validate "realism" when there is no simple ground truth?
This is a deeply interdisciplinary role that combines creative AI application, rigorous experimental design, and insights from computational social science to bring our synthetic populations to life.

Key Responsibilities

• Design AI Agents:  Develop sophisticated prompting strategies, retrieval-augmented generation (RAG) systems, and tool-use frameworks to imbue AI agents with consistent personas, memories, and reasoning capabilities.
• Develop Experimental Methods:  Design and execute experiments to test and validate the behavioural outputs of LLM-powered agents against real-world data and established social science principles.
• Create Novel Evaluation Frameworks:  Build and implement robust methods for measuring the quality and realism of our simulations, especially on ambiguous tasks where traditional accuracy metrics don't apply.
• Build the Simulation Platform:  Contribute to the core architecture that allows us to run, observe, and analyse complex simulations with thousands of interacting AI agents.
• Translate Needs into Research:  Work closely with product and commercial teams to understand client challenges and translate them into focused research questions and technical solutions.
• Stay at the Forefront:  Research and apply the latest techniques in agentic AI, multi-agent systems, and LLM evaluation to continuously advance our platform's capabilities.

Requirements

We are looking for a creative and rigorous engineer who is passionate about using AI as a tool to understand the human world.
Essential Skills & Experience:

• MS or PhD in Computer Science, Machine Learning, Computational Social Science, or a related quantitative field, or equivalent practical experience.
• Deep experience in applying large language models (LLMs) to solve complex, open-ended problems.
• Strong proficiency in Python and common ML libraries/frameworks (e.g., PyTorch, JAX, TensorFlow, Hugging Face).
• A strong scientific mindset geared towards rigorous experimentation, coupled with the engineering discipline to build the reliable and scalable systems needed to test complex hypotheses.
• A keen interest and/or background in the principles of human behaviour, cognitive science, psychology, or social dynamics.
• Excellent communication skills, with the ability to articulate complex technical and experimental concepts clearly.

Bonus Points (Advantageous, but not required):

• Experience or strong interest in multi-agent systems, agent-based modeling (ABM), or game theory.
• Hands-on experience with advanced LLM application techniques like RAG, chain-of-thought, and agentic tool use.
• Experience designing and conducting experiments in a social science or human-computer interaction (HCI) context.
• A track record of publications in relevant AI or interdisciplinary conferences.
• Experience deploying ML-driven applications into production environments.

Benefits

• Define a Category:  Shape the core application of a company pioneering a new frontier in AI and strategic intelligence.
• Solve Fascinating Problems:  Work on intellectually stimulating challenges that blend creative AI application with deep insights into human behaviour.
• World-Class Team:  Join a small, high-caliber team with proven leadership from the highest levels of technology, government, and business.
• High Impact:  In our flat, collaborative environment, your work will have an immediate and tangible impact on our product and our clients' success.
• Growth Opportunity:  As an early member of the team, you'll have significant opportunities for personal and professional development as the company grows.

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 - Minimum 3 - 5 Years Working Research experience

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.

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 - Minimum 3 - 5 Years Working Research experience

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.

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

By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (

WHJS1_UKTJ

Company Mission & Product

We believe that everyone can have equal and unconstrained access to educational experiences on par with Oxford, Cambridge, CalTech, et cetera. We believe that this can be achieved with a new class of learning tools, which combine advances in cognitive science, language models, and datasets. We are building these tools in England.

Our first product, Grasp Concepts , enables students to disambiguate and learn concepts through great online explanations and is deployed with design partners including Imperial College London. Our second product, Grasp Pathways , decomposes learning goals and suggests flexible learning trajectories to reach them, using reputable learning resources like books and lectures, and is in private alpha. An on-demand, online oxbridge-like experience .

Team and Funding

We've raised significant capital from top tier investors including Balderton Capital , Mozilla (yes, Firefox), and Point9 . Our founder Ed built the Payments and Trading products at Revolut alongside his bachelors and masters degrees. He was also one of a handful of investors at DST Global . Our team have backgrounds in elite institutions including Revolut, Huawei, Max-Planck Institute, Oxford, and Cambridge. We're building something so hard we cannot afford to work with anyone but the best.

R&D Engineering at Grasp

This is a system design, prototyping, and development role, with a high degree of individual contribution. The systems you build will involve machine learning, generative AI, and applied maths (e.g. graph algorithm) approaches as you solve problems for online self-directed learners. As an individual contributor, you will be expected to lead projects and take initiative when new problems present themselves. In doing so, you will need to decompose company objectives into clearly defined roadmaps and break these down into near term tasks, splitting these between yourself and others. You will work with all of your colleagues (designers, engineers, founder) on a daily basis and interact with users. The company is flat and collaborative in structure. You should find our mission and the products you build compelling, i.e. you like learning new things in your free time.

Tech

Backend: Python, FastAPI, UV for package management (monorepo ), domain driven design, events-based architecture

Frontend: Typescript, React, Bun, Turborepo for package management (monorepo), Tailwind CSS, Shadcn

Infra: GCP, k8s

Requirements

• Extensive work experience involving programming, machine learning, and applied mathematics for R&D projects.
• 8+ years programming and software engineering in industry , including several years working with Python.
• Previous involvement designing new products (e.g. research engineer embedded in a product team working on something novel).
• Designed and built (as an individual contributor) systems involving LLM pipelines as components.
• Ability to translate high-level strategic objectives into technical roadmap with regular milestones.
• An advanced degree in Computer Science, Physics, Applied Mathematics, Electronic Engineering, or similar.

Benefits

• Reasonable London salary
• Employee options scheme (EMI)
• Office-based team
• Access to all Grasps learning tools for your personal self-study
• Dinner/Breakfast
• Statutory pension (NEST)
• GPUs

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

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
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