Machine Learning Engineer

Machine Learning Engineer (Python) – Health & Wellbeing Startup – Hybrid – up to £100k + package

develop’s Software Engineering team have been engaged exclusively to build a brand-new product team for an innovative health and wellbeing tech startup creating a next-generation wellness platform. The product is being built from the ground up with AI and machine learning embedded at its core, alongside a privacy-first philosophy that keeps user data on-device.

This is an opportunity to join early, shape the intelligent features that define the product, and work on ML that genuinely improves people’s lives, without compromising trust or privacy.

The Opportunity

• Build on-device machine learning models that personalise user experiences
• Work on LLM-driven features where prompt design and schemas directly impact product behaviour
• Develop AI systems where privacy is a first-class concern, not an afterthought
• Collaborate closely with iOS and Android engineers to optimise ML performance on-device
• Influence the long-term AI and personalisation strategy from day one

What You’ll Be Doing

• Designing and testing LLM prompts and schemas for cloud and on-device AI features
• Developing on-device ML models that learn from user behaviour to personalise engagement
• Building privacy-preserving ML pipelines using Core ML and TensorFlow Lite
• Creating intelligent features that adapt content, recommendations, and user journeys
• Working with mobile teams to optimise model performance, latency, and UX
• Contributing to prompt engineering for conversational AI experiences
• Exploring and evaluating emerging on-device LLM capabilities

What We’re Looking For

• Commercial experience in machine learning model development and deployment
• Strong skills in prompt engineering and working with LLMs
• Hands-on experience with Core ML, TensorFlow Lite, or similar on-device frameworks
• Understanding of personalisation and recommendation systems
• Solid experience with Python and ML tooling
• Strong interest in privacy-preserving ML techniques
• Comfortable operating in early-stage environments with high ownership

Why This Role

• Join a team building a brand-new product designed to genuinely help people
• Backed by a proven tech incubator with a strong track record of launching successful products
• Early-stage team with plans to scale to 14–15 people within the next 6 months
• Work in a high-trust, no-ego culture where impact matters more than job titles
• Competitive salary depending on experience
• Strong benefits package (including bonus)

If you’re an ML Engineer who wants to build intelligent, privacy-first AI, have real ownership, and be part of an ambitious product journey from the very beginning, this is worth a conversation.

👉 Apply or message for a confidential discussion.