Senior GenAI Engineer - HealthTech | Oxford (Hybrid x2 days per week)
We’re partnering with a scaling HealthTech platform based in Oxford that’s embedding Generative AI directly into core clinical and operational workflows. This is not an innovation lab or a PoC exercise. The work sits in production and supports real users in regulated healthcare environments.
They are now looking to hire a Senior GenAI Engineer to take technical ownership of LLM-powered capabilities across the product.
The opportunity
You will work at the intersection of NLP, large language models, and real-world healthcare data. You’ll collaborate closely with backend engineers, data scientists, and product team to design, build, and reinforce GenAI systems that ship and are maintained long-term.
What you will be doing
Designing and deploying LLM-driven features for text understanding, summarisation, classification, extraction, and decision support
Building and maintaining NLP pipelines across structured and unstructured clinical or operational text
Implementing and optimising retrieval-augmented generation architectures, prompt strategies, and evaluation approaches
Working with both open-source and hosted LLMs and integrating them into production APIs
Partnering with engineering teams to ensure solutions are scalable, observable, secure, and cost-aware
Contributing to architectural decisions around model choice, inference, latency, and data governance
Helping establish internal best practices for GenAI reliability, testing, and iteration
What you will need
Strong commercial experience working with LLMs and NLP systems in production
A solid grounding in modern NLP techniques including embeddings, transformers, retrieval, fine-tuning, and evaluation
Strong Python skills and experience with production-grade ML or AI engineering practices
Comfort operating in ambiguous problem spaces and taking ownership from problem definition through to delivery
Experience working in cloud environments and with modern data or ML tooling
A pragmatic, engineering-led mindset focused on outcomes rather than hype
Healthcare experience is not essential. However, experience working in heavily regulated, high-accountability environments such as healthcare, life sciences, fintech, or other regulated domains would be highly beneficial.
Unfortunately, this role cannot offer visa / sponsorship.
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