842 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 - 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.

AGITProp is an AI-driven quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from foundation and large language models (LLMs) to build novel solutions across multiple modalities. Now in our second year, we have ambitious growth plans and are searching for the best and brightest minds from across tech and finance to help us achieve our aim.

Senior Research Engineer

We are seeking a highly talented and experienced Senior Research Engineer with a strong background in deep learning, particularly in the development and application of Large Language Models (LLMs), to join our growing team. This role blends research and engineering expertise, requiring a deep understanding of AI/ML principles, strong programming skills, and the ability to contribute to cutting-edge research while also building and deploying practical solutions. Experience in the financial services industry is highly desirable. The successful candidate will collaborate with team members to advance our AI capabilities.

Responsibilities

• Design, develop, implement, and train very large AI models, with a focus on LLMs.
• Conduct original research in deep learning, particularly in areas relevant to LLMs, exploring novel architectures, training processes, and applications within the financial domain.
• Collaborate with portfolio managers, quants, traders, and engineers to understand business needs and translate them into effective AI/ML solutions.
• Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the development and deployment of machine learning models.
• Stay current with the latest advancements in AI, machine learning, and data science, particularly in the LLM field, and share knowledge with the team.
• Contribute to the creation of AI research pipelines, ensuring high data quality standards, rigorous model validation, and comprehensive performance evaluation.
• Mentor and guide junior engineers and researchers, fostering a culture of innovation and collaboration.

Qualifications

• Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is preferred.
• Minimum five years of experience in AI research or engineering, with a demonstrable focus on deep learning and LLMs.
• Proven track record of developing and implementing successful AI-driven solutions, ideally within the financial services industry.
• Strong understanding of the mathematical foundations of deep learning, including multivariate calculus, linear algebra, and optimization techniques.
• Proficient in Python and deep learning frameworks such as TensorFlow and PyTorch. Experience with CUDA kernels and GPU profiling is a plus.
• Excellent communication skills, with the ability to present complex technical ideas to both technical and non-technical audiences.
• Knowledge of quantitative finance, time series modeling, and trading strategies is highly desirable.

Desired Skills

• Experience with specific LLM architectures (e.g., Transformers, RNNs).
• Familiarity with time series analysis techniques.
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure).
• Strong software engineering skills and experience with version control systems (e.g., Git).
• Ability to work independently and as part of a team.

While we understand the company information might be limited, we're happy to be transparent about our goals during the screening and interview process.

At AGITProp, we believe AI's strength comes from the diversity of its creators. We're dedicated to building an inclusive and welcoming environment where people of all backgrounds and experiences can flourish. We know that a diverse team brings broader perspectives, more innovative solutions, and ultimately, better outcomes.

AGITProp is an AI-driven quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from foundation and large language models (LLMs) to build novel solutions across multiple modalities. Now in our second year, we have ambitious growth plans and are searching for the best and brightest minds from across tech and finance to help us achieve our aim.

Senior Research Engineer

We are seeking a highly talented and experienced Senior Research Engineer with a strong background in deep learning, particularly in the development and application of Large Language Models (LLMs), to join our growing team. This role blends research and engineering expertise, requiring a deep understanding of AI/ML principles, strong programming skills, and the ability to contribute to cutting-edge research while also building and deploying practical solutions. Experience in the financial services industry is highly desirable. The successful candidate will collaborate with team members to advance our AI capabilities.

Responsibilities

• Design, develop, implement, and train very large AI models, with a focus on LLMs.
• Conduct original research in deep learning, particularly in areas relevant to LLMs, exploring novel architectures, training processes, and applications within the financial domain.
• Collaborate with portfolio managers, quants, traders, and engineers to understand business needs and translate them into effective AI/ML solutions.
• Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the development and deployment of machine learning models.
• Stay current with the latest advancements in AI, machine learning, and data science, particularly in the LLM field, and share knowledge with the team.
• Contribute to the creation of AI research pipelines, ensuring high data quality standards, rigorous model validation, and comprehensive performance evaluation.
• Mentor and guide junior engineers and researchers, fostering a culture of innovation and collaboration.

Qualifications

• Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is preferred.
• Minimum five years of experience in AI research or engineering, with a demonstrable focus on deep learning and LLMs.
• Proven track record of developing and implementing successful AI-driven solutions, ideally within the financial services industry.
• Strong understanding of the mathematical foundations of deep learning, including multivariate calculus, linear algebra, and optimization techniques.
• Proficient in Python and deep learning frameworks such as TensorFlow and PyTorch. Experience with CUDA kernels and GPU profiling is a plus.
• Excellent communication skills, with the ability to present complex technical ideas to both technical and non-technical audiences.
• Knowledge of quantitative finance, time series modeling, and trading strategies is highly desirable.

Desired Skills

• Experience with specific LLM architectures (e.g., Transformers, RNNs).
• Familiarity with time series analysis techniques.
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure).
• Strong software engineering skills and experience with version control systems (e.g., Git).
• Ability to work independently and as part of a team.

While we understand the company information might be limited, we're happy to be transparent about our goals during the screening and interview process.

At AGITProp, we believe AI's strength comes from the diversity of its creators. We're dedicated to building an inclusive and welcoming environment where people of all backgrounds and experiences can flourish. We know that a diverse team brings broader perspectives, more innovative solutions, and ultimately, better outcomes.

About Us

We are a VC-backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we are leveraging transformers and GNNs combined with deep reinforcement learning to build engaging customer experiences for in-store retail.

Our mission is to change retail forever. We use advanced AI and our proprietary technology to create hyper-personalised shopping experiences that are both simple and beautiful.

About the Job - Foundation Models for Retail

We are looking for a Senior Research Engineer with experience in advanced machine learning systems to work with our team of industry leading domain experts and engineers to build foundation models for retail shopping.

Key Responsibilities:

• Translate latest ML advances into impactful solutions, validate their effectiveness, and deploy them to production systems.
• Innovate upon state-of-the-art ML research applied to consumer personalisation.
• Optimise machine learning models for performance in cloud environments (e.g., distributed clusters, GPUs).

Progression Timeline:

• Month 1: Implement and evaluate current SOTA models, benchmark against existing internal models, and identify performance bottlenecks in existing implementations for optimisation.
• Month 3: Design and implement a prototype model architecture, achieve quantifiable improvements in model performance metrics, and develop data pipeline components for large-scale training workflows.
• Month 6: Deploy an optimised foundation model meeting production requirements, implement algorithmic improvements reducing training time and memory footprint, and document performance benchmarks with detailed ablation studies.

Essential Qualifications:

• 3-5+ years implementing applied machine learning research in a production setting
• MSc in Computer Science, Machine Learning, or a closely related field
• Strong foundation in machine learning and deep learning algorithms (e.g., transformers, GNNs, supervised/unsupervised learning, reinforcement learning, deep neural networks)
• Excellent Python programming skills with experience in developing and debugging production-level code

Desired Skills (Bonus Points):

• Proven experience in recommender systems, behavioural AI, and/or reinforcement learning.
• Building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt).
• PhD in Computer Science, Machine Learning, or a closely related field

What We Offer:

• Opportunity to build technology that will transform millions of shopping experiences
• Real ownership and impact in shaping our product and company direction
• A dynamic and collaborative work environment
• A chance to work with cutting-edge technologies and solve challenging problems
• Competitive compensation
• Equity in a rapidly growing company

Senior Research Engineer

London/Amsterdam (Hybrid/Remote) - Up to £150,000

Join a leading proprietary trading firm that provides liquidity in the securities market by using high frequency and quantitative trading strategies.

Responsibilities:

• Take the lead in building and rolling out our research framework to train models using different optimisation techniques
• Help connect those models to their platform so they can run smoothly in production
• Build tools and frameworks that their Quant Researchers and Traders use to test ideas and fine-tune data-driven trading strategies
• Collaborate closely with the business side to understand needs, gather feedback, and improve their research tools over time.

Requirements:

• PhD or MSc Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• 5+ years of hands-on experience in MLOps and Research Engineering
• An ability to work full-stack with data; some data engineering experience is a big plus
• Strong coding skills in Python
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the apply link on this page.

Senior Research Engineer

London/Amsterdam (Hybrid/Remote) - Up to £150,000

Join a leading proprietary trading firm that provides liquidity in the securities market by using high frequency and quantitative trading strategies.

Responsibilities:

• Take the lead in building and rolling out our research framework to train models using different optimisation techniques
• Help connect those models to their platform so they can run smoothly in production
• Build tools and frameworks that their Quant Researchers and Traders use to test ideas and fine-tune data-driven trading strategies
• Collaborate closely with the business side to understand needs, gather feedback, and improve their research tools over time.

Requirements:

• PhD or MSc Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• 5+ years of hands-on experience in MLOps and Research Engineering
• An ability to work full-stack with data; some data engineering experience is a big plus
• Strong coding skills in Python
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the apply link on this page.

About Us

We are a VC-backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we are leveraging transformers and GNNs combined with deep reinforcement learning to build engaging customer experiences for in-store retail.

Our mission is to change retail forever. We use advanced AI and our proprietary technology to create hyper-personalised shopping experiences that are both simple and beautiful.

About the Job - Foundation Models for Retail

We are looking for a Senior Research Engineer with experience in advanced machine learning systems to work with our team of industry leading domain experts and engineers to build foundation models for retail shopping.

Key Responsibilities:

• Translate latest ML advances into impactful solutions, validate their effectiveness, and deploy them to production systems.
• Innovate upon state-of-the-art ML research applied to consumer personalisation.
• Optimise machine learning models for performance in cloud environments (e.g., distributed clusters, GPUs).

Progression Timeline:

• Month 1: Implement and evaluate current SOTA models, benchmark against existing internal models, and identify performance bottlenecks in existing implementations for optimisation.
• Month 3: Design and implement a prototype model architecture, achieve quantifiable improvements in model performance metrics, and develop data pipeline components for large-scale training workflows.
• Month 6: Deploy an optimised foundation model meeting production requirements, implement algorithmic improvements reducing training time and memory footprint, and document performance benchmarks with detailed ablation studies.

Essential Qualifications:

• 3-5+ years implementing applied machine learning research in a production setting
• MSc in Computer Science, Machine Learning, or a closely related field
• Strong foundation in machine learning and deep learning algorithms (e.g., transformers, GNNs, supervised/unsupervised learning, reinforcement learning, deep neural networks)
• Excellent Python programming skills with experience in developing and debugging production-level code

Desired Skills (Bonus Points):

• Proven experience in recommender systems, behavioural AI, and/or reinforcement learning.
• Building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt).
• PhD in Computer Science, Machine Learning, or a closely related field

What We Offer:

• Opportunity to build technology that will transform millions of shopping experiences
• Real ownership and impact in shaping our product and company direction
• A dynamic and collaborative work environment
• A chance to work with cutting-edge technologies and solve challenging problems
• Competitive compensation
• Equity in a rapidly growing company