Research Engineer jobs in London

You will build the intelligence that allows robots to interpret complex environments, reason about context, and act autonomously.

Job Description If you like building Python systems that make machine learning research actually work at scale - this one's for you. You'll develop and improve the internal tooling that researchers rely on daily: distributed compute workflows, data pipelines, and robust infrastructure that connects research code to real environments - including hardware/prototype devices on-site. What's in it...

Seer are currently partnered with a generative AI company who are searching for 'Senior Research Engineers' with strong software engineering experience to help build and scale cutting-edge LLM-based applications. This role is ideal for someone who's passionate about applying AI to solve real enterprise problems and wants to work at the forefront of NLP and ML innovation. What can you expect to...

You will drive the research lifecycle, collaborating with teams worldwide to prototype and implement innovative systems. The ideal candidate will have a strong background in ML systems, excellent programming skills, and a passion for advancing AI technologies. This position offers a hybrid work model and competitive compensation.

Do you want to build production GenAI systems used daily by legal professionals globally? Are you interested in shipping AI products end to end? Are you excited by complex, high-precision problems where quality truly matters? A fast-growing LegalTech AI scale-up is applying GenAI across the full intellectual property lifecycle. Their platform is used by IP teams globally to automate drafting,...

You will use your knowledge of Agentic approaches for code generation and software engineering best practices to design and develop these capabilities - leveraging state-of-the-art LLM coding frameworks and endowing them with the tools and guardrails needed to reliably build and test automated workflows.

You will help shape how devices are assessed and qualified for use in space, drawing on existing data, modelling, and targeted testing where appropriate. - This role suits a physicist or engineer with research experience and strong technical writing skills, who wants to move into applied space work.

If you like building Python systems that make machine learning research actually work at scale - this one's for you. You'll develop and improve the internal tooling that researchers rely on daily: distributed compute workflows, data pipelines, and robust infrastructure that connects research code to real environments - including hardware/prototype devices on-site. What's in it for you £98,000 -...

You will bridge data science, structural biology, and chemistry, transforming how Nxera generates, analyses, and applies biological knowledge.

You will also develop systems to automate the testing and improvement of our solution such as evals, prompt optimisation, and fine-tuning models.

You will be leading the research on knowledge representation and how it can serve to build AI systems capable of such complex reasoning.

You will work on formulating research problems that explore how Reinforcement Learning algorithms can interact with large and complex knowledge graphs to reason over ambiguous tasks.

A global information provider is seeking a Machine Learning Research Engineer to join their innovative team. This role involves designing robust systems for training and evaluating large language models as well as collaborating with world-class researchers. Successful candidates will hold a relevant degree and have extensive experience in ML, AI, and software engineering practices. The position...

You will work on applied research problems directly connected to production GenAI systems: improving retrieval, reasoning quality, grounding, evaluation, and system robustness across large, complex document corpora. Key responsibilities - Build and iterate on LLM + RAG pipelines over technical/legal documents

If you like building Python systems that make machine learning research actually work at scale - this one's for you. You'll develop and improve the internal tooling that researchers rely on daily: distributed compute workflows, data pipelines, and robust infrastructure that connects research code to real environments - including hardware/prototype devices on-site. Find out if this opportunity is...

You will lead the design of generative AI systems, protein co-folding architectures, and graph neural networks (GNNs) and agentic AI, that help uncover new therapeutic possibilities. Working alongside leading computational scientists, data engineers, and domain experts, you will shape the future of AI-driven discovery at Nxera — advancing our mission to make precision medicines a reality.

You will leverage AI and machine learning expertise to design capabilities for operational processes, provide solutions based on customer needs, and contribute to the company's growth. Key responsibilities include driving the implementation of innovative solutions, engaging with technical teams, and ensuring high-quality delivery.

If you like building Python systems that make machine learning research actually work at scale - this one's for you. You'll develop and improve the internal tooling that researchers rely on daily: distributed compute workflows, data pipelines, and robust infrastructure that connects research code to real environments - including hardware/prototype devices on-site. If you are interested in...

You will have the opportunity to contribute to our proprietary AI model research & development through rapid prototyping scalable infrastructure and production‐quality implementations and to research papers in top tier academic conferences and journals.

You will design and implement robust scalable systems for training and evaluating large language models.

Do you want to build production GenAI systems used daily by legal professionals globally? Are you interested in shipping AI products end to end? Are you excited by complex, high-precision problems where quality truly matters? A fast-growing LegalTech AI scale-up is applying GenAI across the full intellectual property lifecycle. Their platform is used by IP teams globally to automate drafting,...

Do you want to build production GenAI systems used daily by legal professionals globally? Are you interested in shipping AI products end to end? Are you excited by complex, high-precision problems where quality truly matters? A fast-growing LegalTech AI scale-up is applying GenAI across the full intellectual property lifecycle. Their platform is used by IP teams globally to automate drafting,...