Overview

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, we leverage cutting-edge AI and Machine Learning to transform drug development. Our goal is to increase clinical trial success rates, accelerate timelines, and reduce study costs. We seek innovative minds with strong coding skills, a deep understanding of modern deep learning, and robust AWS capabilities. We are looking for ambitious individuals eager to grow into leadership roles and contribute to leadership in ML engineering. Join us to design and implement advanced machine learning models, lead the end-to-end ML lifecycle, develop data pipelines, and collaborate with cross-functional teams to align AI initiatives with business objectives. This role offers mentorship opportunities and exposure to state-of-the-art technologies in healthcare."

Responsibilities

• 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 and 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 experience in data science roles focused on production-ready solutions.
• Strong Python programming with 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 prior pharmaceutical industry experience.

Salary: Negotiable

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Industry: Pharmaceutical Manufacturing

Additional notes: We welcome your application with a focus on flexibility to balance in-office and remote work. Our teams operate with a preference for in-office collaboration, but we value individual flexibility.