Associate Principal Full Stack ML Engineer - Evinova

ASTRAZENECA UK LIMITED; City of Westminster; On-site; GBP 60,000 - 85,000; Full time

Job summary

A leading healthcare company in the UK seeks a Full Stack ML Engineer to revolutionize clinical trials through advanced machine learning solutions. The role includes designing and implementing ML models, leading the ML lifecycle, and collaborating with cross-functional teams. Candidates should have a background in computer science, strong Python programming skills, and experience with AWS cloud services. This position offers a chance to drive digital transformation in healthcare and mentor team members, contributing to a significant impact on drug development timelines and costs.

Qualifications

• Solid knowledge of Python and experience with machine learning models.
• Strong background in creating production-ready data science solutions.
• Proficiency in AWS services for cloud-based deployments.

Responsibilities

• Design and implement advanced machine learning models.
• Lead the ML lifecycle from data preparation to deployment.
• Collaborate with cross-functional teams to deliver solutions.

Skills

Python programming

Data science libraries (NumPy, pandas, scikit-learn)

AWS cloud services

CI/CD with GitHub Actions

SQL

Docker containerization

Communication skills

Creative problem-solving

Education

Degree in Computer Science, Mathematics, or related field

Tools

FastAPI

TensorFlow

Kubernetes

Job description

Responsibilities

• 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.

Qualifications

• 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.

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.