Senior Machine Learning Engineer

Transform AI in Healthcare

Are you passionate about building scalable AI and machine learning systems that make a real-world impact?

Join a highly collaborative Data Science team that's transforming pharma intelligence and improving patient access to life-saving therapies. You'll work alongside data scientists, engineers, and product teams to design and deploy production-grade AI/ML solutions that solve complex business challenges. This is an opportunity to own critical ML infrastructure, influence technical direction, and help shape the future of AI within a fast-paced, innovative environment.

What You'll Be Doing

As a Senior Machine Learning Engineer , you will:

• Design and implement end-to-end machine learning pipelines, including data ingestion, model training, validation, deployment, and monitoring.
• Build and optimise scalable ML infrastructure with a focus on reliability, maintainability, performance, and cost efficiency.
• Partner with Data Science, Engineering, and Product teams to develop AI/ML solutions for complex business problems.
• Design reference architectures leveraging LLMs, code interpretation, tool usage, knowledge graphs, and advanced AI techniques.
• Continuously evaluate emerging technologies and contribute to technical knowledge sharing across the organisation.
• Mentor junior engineers and contribute to engineering best practices.

What We're Looking For

Essential Skills &​ Experience:

• Graduate degree in Computer Science, Engineering, Statistics, or another quantitative discipline (or equivalent industry experience).
• 5+ years' experience building large-scale, production AI/ML applications.
• Strong background in:
• Machine Learning
• MLOps
• Distributed Systems
• Cloud Infrastructure
• System Design
• Latency &​ Performance Optimisation
• Knowledge Graphs
• Excellent Python development skills.
• Experience with core data science libraries including:
• Pandas
• NumPy
• Scikit-learn (or equivalent)
• Strong understanding of:
• Computer Science fundamentals
• Algorithms
• Computational complexity
• Experience developing production-grade distributed systems in Agile environments.
• Proven mentoring or technical leadership experience.
• Excellent communication and stakeholder management skills.

Desirable Experience

• Healthcare or pharmaceutical industry experience.
• AI applied to healthcare datasets.
• AWS cloud services including:
• SageMaker
• ECS
• S3
• Serverless technologies
• Snowflake experience.

You'll become part of an innovative Data Science team that's delivering cutting-edge AI solutions with tangible impact across healthcare and life sciences. Working in a collaborative environment, you'll have the opportunity to solve challenging technical problems, influence architecture, and work with modern AI technologies at scale.

If you're passionate about building robust, production-ready machine learning systems and want to help shape the next generation of AI-powered healthcare solutions, we'd love to hear from you.