2 of 2 Gen AI Engineer Jobs in Oxford

Job Description About the Opportunity We’re a UK-based deep tech start-up seeking a Generative AI Engineer to join our enthusiastic and rapidly growing team. You will have 5+ years industry experience working with Generative AI on a wide range of challenges in a fast-moving environment. The position will involve applying … role will involve developing, combining and scaling natural model systems, data enhancement, collaboration with the wider AI team, and keeping ahead of the latest trends in Generative AI and ML. The ideal candidate will have a number of years’ experience with LLMs, utilising them as part of a natural model system (ideally both in and before … Work with the team to deploy novel AI products into offline environments Minimum Qualifications & Experience Willing to be SC cleared Strong understanding of the theory of generative AI systems e.g., LLMs, RAG, Graph networks Strong experience deploying LLM’s for searching pipelines Up to date with current LLM and NLP research Experience designing, developing and deploying More ❯

re investing heavily in AI and automation to reimagine how we deliver customer service, field operations, and internal workflows. We’re now looking for an experienced Generative AI Engineer to lead the charge in developing and scaling intelligent systems and agentic applications that drive meaningful business outcomes. The Role As our Generative AI Engineer , you’ll be at the forefront of innovation — designing and deploying next-generation AI systems using large language models (LLMs), multi-agent frameworks, and cutting-edge GenAI tooling. You’ll partner closely with stakeholders across Product, Design, and Operations to translate business needs into intelligent, scalable applications. This role is hands-on and … on fairness, security, and governance in compliance with ethical standards. Required Skills & Experience 5+ years in AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise More ❯