Senior Applied AI & ML Engineer Evinova

It currently takes over 10 years and $1.3B to develop a drug. More than 70% of that investment goes into clinical trials yet only 10% of candidates make it from Phase I to approval. Evinova - a new health-tech business within the AstraZeneca Groupis here to change the math. We use advanced algorithms and GenAI to aim high: boosting clinical trial success by 20% cutting development time by 3 years and halving study costs.

As Senior Applied AI&ML Engineer you will prototype and build the systems that make those targets real - blending scientific knowledge ML and agentic systems to drive transparent and actionable recommendations. Youll integrate multisource data - historical trials and scientific datasets into production systems to improve the process of designing clinical trials and increase their probability of success.

If youre motivated by meaningful problems and comfortable working outside your existing experience youll thrive here. Were looking for generalists with scientific backgrounds and some software data science and ML skills people who are genuinely curious and think scientifically committed to continuous learning and eager to rethink how clinical trials are designed. We value people who build with depth and intention not just wrap LLM API calls.

What Youll Bring:

Foundation

• Ph.D. or equivalent professional experience in a relevant scientific or quantitative field with industrial experience (Bioinformatics Mathematics Computer Science Machine Learning Statistics or similar)
• Previous industry experience building applied ML/AI systems that have shipped as part of a product and driven measurable business impact.
• Domain knowledge- familiarity with drug development clinical trial design or real-world data (EHR claims prescriptions)

Machine Learning & AI

• Experience of classical ML and NLP
• Hands-on work with generative AI including prompt engineering context engineering and multiagent systems and working with managed endpoints (OpenAI Anthropic AWS Bedrock) and open-weight models (Hugging Face ecosystem)
• Knowledge of agentic design patterns - planning memory tool use/function calling RAG - with practical experience in evaluation and guardrails appropriate for regulated environments
• Experience working with scientific datasets/ literature.

Engineering & Delivery

• Strong Python development skills with production sensibilities (testing observability documentation)
• Experience with containers APIs and async services (Docker FastAPI) and CI/CD pipelines (GitHub Actions)
• Awareness of architectural patterns in deploying applied ML/AI systems in cloud (AWS).

Communication & Collaboration

• Ability to translate complex technical work into clear narratives for both technical and non-technical stakeholders
• Experience sharing knowledge with peers and contributing to engineering and data science standards and best practices.

Nice to Have:

• RAG pipelines at depth- experience building secure compliant ingestion and retrieval systems with provenance tracking including web automation parsing and document processing
• Agent frameworks- hands-on experience with multi-agent orchestration tools (e.g. Google ADK StrandsAgents LangGraph CrewAI or equivalents)
• AI-augmented development- effective use of agentic coding assistants (Copilot Cursor Claude Code) to accelerate delivery
• Open source or community contributions- published packages conference talks or internal framework development
• Startup-pace experience- comfort with ambiguity rapid iteration and wearing multiple hats

Location: St Pancras London (3 days per week onsite / 60% overall)

Salary: Competitive Excellent Benefits!

Why Evinova (AstraZeneca)

Evinova draws on AstraZenecas deep experience developing novel therapeutics informed by insights from thousands of patients and clinical researchers. Together we can accelerate the delivery of life-changing medicines improve the design and delivery of clinical trials for better patient experiences and outcomes and think more holistically about patient care before during and after treatment.

We know that regulators healthcare professionals and care teams at clinical trial sites do not want a fragmented approach. They do not want a future where every pharmaceutical company provides its own different digital solutions. They want solutions that work across the sector simplify their workload and benefit patients broadly. By bringing our solutions to the wider healthcare community we can help build more unified approaches to how we all develop and deploy digital technologies better serving our teams physicians and ultimately patients.

Evinova represents a unique opportunity to deliver meaningful outcomes with digital and AI to serve the wider healthcare community and create new standards for the sector. Join us on our journey of building a new kind of health tech business to reset expectations of what a bio-pharmaceutical company can be. This means were opening new ways to work pioneering cutting-edge methods and bringing unexpected teams together. Interested Come and join our journey.

Where can I find out more

Learn more about Evinova:

Follow Evinova on LinkedIn: we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

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