Principal Full Stack ML Engineer

Job Title: Principal Full Stack ML Engineer Evinova

Location: Cambridge

Salary: Competitive

Introduction to role

Are you ready to revolutionize the world of clinical trials At Evinova part of the AstraZeneca Group were on a mission to transform drug development by leveraging cutting-edge AI and Machine Learning. With the goal of increasing clinical trial success rates by 20% accelerating timelines by 36 months and slashing study costs by 50% we need innovative minds like yours! If youre a skilled coder with a passion for developing ML solutions a deep understanding of modern deep learning and robust AWS skills this could be your chance to make a significant impact. Were looking for ambitious individuals eager to grow into leadership roles and break through glass ceilings. Join us as a Senior Full Stack ML Engineer to design and implement advanced machine learning models that tackle complex healthcare challenges. Youll lead the end-to-end ML lifecycle develop critical data pipelines and collaborate with cross-functional teams to align AI initiatives with business objectives. This is your opportunity to mentor team members drive digital transformation in healthcare and work with state-of-the-art technologies.

Accountabilities:

• Design and implement advanced machine learning models to solve complex healthcare problems.

• Translate analytical prototypes into robust scalable production systems.

• Lead end-to-end ML lifecycle from data preparation to deployment and monitoring.

• Develop and maintain data pipelines supporting model training and deployment.

• Deliver production-ready code as well as infrastructure as code implementing best practices for code quality testing and documentation.

• Collaborate with cross-functional teams to deliver data-driven solutions.

• Mentor team members with a less technical background in software engineering.

• Collaborate in a multidisciplinary environment to align AI initiatives with business objectives and drive digital transformation.

• Stay current with advancements in data science AI and software engineering.

Essential Skills/Experience:

• Degree in Computer Science Mathematics Physics or related quantitative field.

• Strong prior experience in data science roles focused on production-ready solutions.

• Strong Python programming with proficiency in data science libraries such as NumPy pandas scikit-learn SciPy Optuna and TensorFlow/PyTorch.

• Extensive experience developing and deploying Python APIs particularly using FastAPI.

• Strong expertise in Python testing frameworks (pytest unittest mock).

• Experience with RESTful API design documentation dependency injection error handling and logging.

• Proficiency with AWS cloud services (CDK EKS S3 IAM CloudWatch).

• CI/CD experience particularly with GitHub Actions workflows.

• Advanced SQL skills and experience with graph databases.

• Docker containerization and Kubernetes orchestration experience.

• Experience working with AI tools and Large Language Models (LLMs) for practical applications.

• Creative problem-solving abilities and outside-the-box thinking.

• Excellent communication skills for technical and non-technical audiences.

• Proven collaborative team experience.

• Demonstrated innovation mindset and ability to work independently.

Desirable Skills/Experience:

• AWS Machine Learning Engineer or AWS Solution Architect certification.

• TypeScript or a similar strongly-typed programming language experience.

• Data visualization expertise.

• Experience with real-time data processing and streaming.

• Performance testing experience with data-intensive applications.

• Front-end development familiarity.

• Knowledge of healthcare AI/ML regulatory requirements.

• Knowledge of drug development and previous experience working in the pharmaceutical industry.

When 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.

At AstraZeneca innovation is at the heart of everything we do. We are committed to discovering new therapeutics that address global healthcare challenges. Our diverse teams foster creativity and collaboration empowering you to take smart risks and push boundaries. With a focus on lifelong learning and development youll find opportunities to grow your career while making a meaningful impact on patients lives worldwide.

SO WHATS NEXT

We welcome your application no later than 5th October 2025

Where can I find out more

Follow AstraZeneca on LinkedIn AstraZeneca on Facebook AstraZeneca on Instagram you ready to make a difference Apply today and join us in our mission to improve global public health!

Date Posted

Closing Date