Senior Applied AI & ML Engineer in London

Requirements

• We are looking for someone with domain knowledge in drug development, clinical trial design, or real-world data (EHR, claims, prescriptions).
• We require a Ph.

D. or equivalent professional experience in a health or life science field, such as medicine, pharmacy, pharmacology, epidemiology, biostatistics, immunology, neuroscience, translational or clinical research, or bioinformatics.

• We want previous industry experience building applied ML/AI systems that have shipped as part of a product and driven measurable business impact.
• We require hands-on work with generative AI, including prompt engineering, context engineering, and multi-agent systems, plus experience with managed endpoints such as Open AI, Anthropic, and AWS Bedrock and open-weight models in the Hugging Face ecosystem.
• We are looking for knowledge of agentic design patterns and working with LLMs.
• We expect scientific rigour applied to AI, including the ability to question whether outputs actually make sense.
• We require experience working with scientific datasets and literature.
• We need Python development skills.
• We require experience with Git Hub.
• We want awareness of working cloud environments.
• We require the ability to translate complex technical work into clear narratives for both technical and non-technical stakeholders.
• We value experience sharing knowledge with peers, particularly in the scientific or clinical domain.
• Desirable: experience with classical ML and NLP methods.
• Desirable: software craft skills such as testing, observability, documentation, and code review.
• Desirable: deep experience building secure, compliant RAG pipelines with provenance tracking, including web automation, parsing, and document processing.
• Desirable: hands-on experience with multi-agent orchestration tools such as Google ADK, Strands Agents, Lang Graph, Crew AI, or equivalents.
• Desirable: experience with real-world data sources such as EHR, claims, prescriptions, and registries, and their pitfalls.
• Desirable: effective use of AI-augmented development tools such as Copilot, Cursor, and Claude Code.
• Desirable: startup-pace experience, including comfort with ambiguity, rapid iteration, and wearing multiple hats.

Responsibilities

• We prototype and build the systems that make our targets real.
• We bring scientific and clinical judgement to work with stakeholders to develop ML and agentic systems that drive transparent and actionable recommendations.
• We integrate multi-source data, including historical trials and scientific datasets, into production systems.
• We improve the process of designing clinical trials and increase their probability of success.
• We work with experienced ML and platform engineers while developing our engineering craft.
• We translate complex technical work into clear narratives for both technical and non-technical stakeholders.
• We share knowledge with peers, particularly within the scientific and clinical domain.

Technologies

• AI
• AWS
• Claude Code
• Cloud
• Copilot
• Cursor
• Git Hub
• Python
• RAG
• Web
• Machine Learning

More

We are Evinova, a new health-tech business within the Astra Zeneca Group, using advanced algorithms and Gen AI to boost clinical trial success, cut development time, and reduce study costs.

We draw on Astra Zenecas experience developing novel therapeutics and aim to improve the design and delivery of clinical trials for better patient experiences and outcomes.

We are building a new kind of health tech business that resets expectations of what a biopharmaceutical company can be, opening new ways to work and bringing unexpected teams together.

This is a full-time Senior Applied AI & ML Engineer role based in St Pancras, London, with a hybrid schedule of three days per week onsite and an excellent benefits package.

We work in an inclusive and equitable environment and offer reasonable adjustments or accommodations during recruitment.

• last updated 36 week of 2026
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