Job Description

Data Engineer (ML/AI Focus) - Healthcare Analytics London | Hybrid
The Opportunity
I'm working with a boutique analytics consultancy in London that's transforming healthcare through data and AI. Working on both Data Consulting and Product delivery for the NHS and healthtech companies, you'll build end-to-end machine learning solutions that make a tangible difference to patients and healthcare professionals. This isn't just another engineering role - you'll be client-facing, working alongside the people who use your solutions to understand their data needs, and see the real-world impact of your work.
What You'll Be Doing

• Building and deploying production ML pipelines in cloud environments (AWS, Azure, or GCP)
• Implementing MLOps best practices to maintain and scale AI applications
• Working directly with NHS trusts and healthcare clients to understand their challenges
• Contributing to both project delivery and the development of repeatable product propositions
• Bringing innovation to how healthcare organisations use data and machine learning

Skills and experience required
Essential:

• 1-3 years professional experience in data engineering, ML engineering, or similar
• Strong Python or R skills, with experience in SQL
• Understanding of machine learning algorithms and their practical application
• Ability to deliver high-quality work to tight deadlines
• Genuine interest in healthcare - you want your work to matter

Highly Desirable:

• Experience with MLOps in cloud environments
• Background in healthcare, consulting, or research settings
• Exposure to modern cloud platforms (AWS/Azure/GCP)

Salary: 40,000 - 55,000 + good benefits + bonus
Location: Central London onsite with some hybrid working
The role is available now so please APPLY TODAY for immediate consideration.

Skills Required