10 of 10 Permanent Research Engineer Jobs in the Thames Valley

Research Engineer – Foundation Models | London (On-site) We’re partnering with a stealth-mode deep tech AI lab based in London that’s building foundation models from the ground up . This isn’t fine-tuning or prompt engineering, it’s genuine model pre-training, post-training, and large-scale systems research. The company secured substantial funding in … s a rare opportunity to get in early at a company that will define its own category once it comes out of stealth next year. The Role As a Research Engineer, you’ll play a key role in designing, training, and evaluating large-scale models and distributed systems. You’ll work closely with experienced colleagues who have scaled … some of the world’s largest AI systems, helping to drive both the research and infrastructure that underpin next-generation foundation models. You’ll have a high degree of autonomy and ownership, contributing directly to experiments, training pipelines, and evaluation frameworks that will inform how the models evolve over time. What You’ll Work On Designing and developing large More ❯

AI Research Engineer – London (Onsite, Full-time) Competitive Salary + Bonus High-Performance Environment | Applied AI | Human + Machine Innovation We’re working with a high-performing global investment firm that’s building out its internal AI platform — applying cutting-edge large-language-model (LLM) technologies to real-world research and data challenges. They’re now looking … for an AI Research Engineer who can turn emerging AI ideas into working products. This is a hands-on, fast-paced role suited to someone who codes with intent, prototypes quickly, and loves exploring what’s next in the AI ecosystem. What You’ll Do Design, build, and maintain AI research infrastructure – custom LLM pipelines and tools. … Optimise LLM serving and inference for latency, reliability, and cost-to-intelligence. Prototype new approaches using Claude Code, Cursor, Windsurf, Copilot , or similar tools. Work directly with data and research teams to deploy models into production. Help shape the firm’s Human + Machine strategy, blending AI and human insight to drive performance. What We’re Looking For Strong More ❯

Lead AI Research Engineer Central London | £90,000–£120,000 + benefits | Hybrid (WeWork + Remote) This isn’t just another AI job. It’s the chance to build an AI Lab inside one of the UK’s most forward-thinking global SaaS businesses. The Opportunity Imagine walking into a blank canvas — a brand-new R&D unit … and scale AI capability across a global product ecosystem that’s already trusted by thousands of schools worldwide. This is exactly that. You’ll be the founding Lead AI Research Engineer , working directly with the Global CTO to design, test, and embed AI solutions that redefine what’s possible in education technology. You’ll have full creative freedom … to experiment, prototype, and deliver impact. No rigid frameworks. No bureaucracy. No “wait for approval” culture. This is your playground — your AI Lab — to build real solutions that blend research, engineering, and imagination. What You’ll Be Doing Build and scale the company’s first AI R&D function from the ground up Design and deploy intelligent agents, models More ❯

Research Engineer (Data Infra/ML) London (Hybrid) Can you build & optimize distributed ML pipelines with Ray or Spark? Do you love speeding up cloud infra (Kubernetes, Docker, CI/CD)? Excited to build the data backbone for large-scale ML training? We're a tier 1 VC-backed start-up, developing hyper-realistic 3D simulations using AI. More ❯

your work. Co-hire your future colleagues. Work closely with the founding team and contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: Industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Understanding of LLM architectures, pre and/or post-training … Contributions to and experience in open-source projects. Startup experience: Experience with a startup work environment and wider ecosystem. Why join us? Work in an environment conducting cutting-edge research in AI. An official role title of “Founding Research Engineer” - make an impact on day one. Competitive salary, equity and benefits package. 28 days + public holidays More ❯

your work. Co-hire your future colleagues. Work closely with the founding team and contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: 5+ years of industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Deep understanding of LLM architectures, pre and … Contributions to and experience in open-source projects. Startup experience: Experience with a startup work environment and wider ecosystem. Why join us? Work in an environment conducting cutting-edge research in AI. An official role title of “Founding Research Engineer” - make an impact on day one. Competitive salary, equity and benefits package. 28 days + public holidays More ❯

your work. Co-hire your future colleagues. Work closely with the founding team and contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: 2-3 years of industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Strong understanding of LLM architectures, pre … Contributions to and experience in open-source projects. Startup experience: Experience with a startup work environment and wider ecosystem. Why join us? Work in an environment conducting cutting-edge research in AI. An official role title of “Founding Research Engineer” - make an impact on day one. Competitive salary, equity and benefits package. 28 days + public holidays More ❯

top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: As a Research Engineer you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a … creating highly realistic, emotional and life-like Synthetic humans through text-to-video. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 55,000 businesses. If you are an expert in post-training Diffusion models for generative AI, this … the efficiency of diffusion models used in avatar generation. Analyze and address challenges related to model performance, ensuring high-quality output in avatar rendering. Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods. What we're looking for: You have a background in Computer Vision/Computer Science and 3+ More ❯

Role: Staff Software Engineer (Rust & AI Inference) Location: London (2–3 days a week onsite) Compensation: Up to £160,000 + equity We’re supporting an emerging deep tech company building high-performance infrastructure to support AI model deployment at scale. They’re focused on enabling enterprises to run advanced AI systems in production, with a strong emphasis on … privacy, performance, and full-stack control. This is a hands-on senior IC role for an engineer who thrives in low-latency, compute-intensive environments, and enjoys mentoring others. You’ll play a key role in shaping the core inference layer powering complex real-time AI workflows. If you're excited by the challenge of optimising distributed systems, designing More ❯

high-visibility projects - designing, building, and delivering intelligent solutions that solve real business problems at scale. What you’ll bring: PhD in a STEM field with demonstrated experience in research and development to solve complex, previously unseen problems. Hands-on experience building production-grade solutions using LLMs, RAGs, MCPs, and agentic workflows. Client-facing experience with a forward deployed … delivery skills: ability to translate complex business problems into scalable, intelligent AI solutions. What you’ll do: Tackle some of the most complex and exciting client problems, using your research skills to come up with innovative solutions. Collaborate with others to work on strategic research initiatives. Collaborate directly with top-tier enterprises to understand needs, design and deploy More ❯