Associate Principal Full Stack ML Engineer – Evinova

AstraZeneca; Greater London; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

A leading pharmaceutical company based in Greater London seeks an Associate Principal Full Stack ML Engineer to innovate in drug development using AI and machine learning. The role involves designing and implementing ML models, leading project lifecycles, and mentoring team members. Ideal candidates will have strong expertise in Python, AWS, and data science libraries. Competitive salary and excellent benefits package are offered, alongside a flexible in-office working model.

Benefits

Competitive salary

Excellent benefits

Flexible work model

Qualifications

• Degree in Computer Science or related quantitative field.
• Strong experience in data science focused on production-ready solutions.
• Extensive experience with Python APIs and cloud services.

Responsibilities

• Design advanced machine learning models for healthcare problems.
• Lead the ML lifecycle from data preparation to monitoring.
• Mentor team members in software engineering.

Skills

Python programming

Machine Learning

AWS cloud services

RESTful API design

CI/CD

SQL

Docker

Kubernetes

Education

Degree in Computer Science, Mathematics, Physics or related field

Tools

NumPy

pandas

TensorFlow

PyTorch

Job description

Are you ready to revolutionize the world of clinical trials? At Evinova, part of the AstraZeneca Group, we're 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 you're 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. We're looking for ambitious individuals eager to grow into leadership roles and break through glass ceilings. Join us as a Associate Principal (Associate Director) Full Stack ML Engineer to design and implement advanced machine learning models that tackle complex healthcare challenges. You'll 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 and agentic systems 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 delivery of genAI 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.

Location: St Pancras London

Salary: Competitive + Excellent Benefits!

Next steps, if the role looks suitable please apply!

Where can I find out more?

Our Social Media, Follow Evinova on LinkedIn https://www.linkedin.com/company/evinova/

Learn more about Evinova www.evinova.com

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life‑changing medicines. In‑person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

#Evinova

Date Posted

19-Dec-2025

Closing Date

09-Jan-2026

Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.