Associate Principal 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 Associate Principal AI&ML Engineer you will build the AI engines that make those targets realblending forecasting optimization and evidence synthesis to drive transparent and actionable recommendations. Youll transform multisource datahistorical signals external context and realworld data (RWD) into productiongrade intelligence and connect those insights into automated authoring and planning workflows accelerating timelines reducing cost and raising the probability of success.

If you are a solid coder with hands on experience of developing AI agentic solutions modern deep learning skills strong AWS fundamentals and a bias for rapid learning you can make a real impact here.

This is a hands-on role expect around 80% time spent on coding.

What the role involves:

• Build sophisticated GenAI applications Machine Learning models and Optimization solutions tailored to life sciences taking them from initial PoC through to impactful applications.
• Deliver highquality productionready code on AWS; stand up robust APIs orchestration endpoints (MCPs) and flexible data pipelines with strong lineage and observability.
• Transform external signals and realworld data (RWD) into trusted actionable evidence for ML/DL and agentic systems.
• Collaborate in a dynamic ecosystem where AI Product Strategy and UX intersect. You will act as a key translator connecting cutting-edge AI capabilities with real-world pharmaceutical requirements to deliver meaningful digital transformation.
• Communicate technical concepts and results clearly and effectively to technical and non-technical audiences
• Keep pace with industry advancements by reviewing academic papers and attending conferences

SKILLS AND CAPABILITIES NEEDED

• Ph.D. or equivalent experience in a relevant field (such as Mathematics Computer Science Machine Learning Statistics etc).
• Previous demonstrated experience building applied ML/AI systems including deep learning NLP and generative AI.
• Proven track record of developing creative and novel AI solutions with measurable business impact (e.g. cost accuracy adoption latency).
• Knowledge of agentic design patterns (planning memory tool use/function calling RAG) with evaluation and guardrails.
• Proficiency in Python; PyTorch or TensorFlow; Hugging Face (Transformers/PEFT); experience with managed endpoints (OpenAI Anthropic AWS Bedrock) and at least one agent framework for tool orchestration.
• Ability to build secure compliant ingestion and retrieval pipelines with provenance hands-on experience with web automation parsing and document processing to enable high-quality RAG.
• Strong AWS fundamentals to deploy production workloads (model hosting data orchestration) including robust APIs/orchestration endpoints and observable data pipelines.
• Experience with containers and services (Docker FastAPI async patterns) CI/CD (GitHub Actions) and security/privacy-by-design suitable for regulated environments.
• Comfortable leveraging GenAI coding assistants (GitHub Copilot Cursor etc.) to accelerate development.

NICE TO HAVE

• Experience with real-world data (Electronic Health Records claims data pharmacy& prescription databases).
• Knowledge of drug development and prior pharma experience.
• Reinforcement learning and LM fine-tuning; TypeScript or AWS CDK.
• Contributions to open-source or internal frameworks.

Location: St Pancras London

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.

So whats next

Are you already imagining yourself joining our team Good because we cant wait to hear from you.

Where can I find out more

Learn more about Evinova:

Follow Evinova on LinkedIn: Posted

Closing Date