AI Engineer

Job Title:

AI Engineer (Digital Health) / Machine Learning Engineer / AI Lead / Generative AI Engineer / Aritificial Intelligence Level: Mid-Level

Location:

United Kingdom (Hybrid working) Salary: £60,000 £ 90,000  benefits

Employment Type:

Permanent The Opportunity We are a Specialist Digital Health Consultancy working with innovative organisations across healthcare, life sciences, and biotech to deliver intelligent, data-driven solutions that genuinely improve lives. This role is ideal for an AI Engineer who wants to deepen their experience in Generative AI and applied machine learning , while working alongside senior engineers and architects on real, production-grade systems.

You will not be siloed into a single product. Instead, you will gain exposure to a variety of client challenges, modern AI tooling, and best-in-class engineering practices. If you are looking to move beyond experimentation and into well-engineered, scalable AI solutions , this is a strong next step. What Youll Be Doing Build Generative AI Solutions Develop and enhance GenAI applications using frameworks such as Lang Chain, Lang Graph, or Llama Index , integrating with LLMs including GPT, Claude, and Gemini .

Implement RAG Pipelines Support the design and delivery of Retrieval-Augmented Generation (RAG) solutions using vector databases such as Pinecone or Weaviate . Develop Production-Ready Services Write clean, maintainable code in Python and/or JavaScript , contributing to microservices and APIs that meet performance, security, and reliability standards. Work Cloud-First Deploy and support AI services within AWS, GCP, or Azure , using containerisation and CI/CD pipelines.

Collaborate & Learn Work closely with Lead AI Engineers and Architects, contributing to design discussions, code reviews, and internal knowledge sharing. Apply AI-Assisted Engineering Responsibly Use tools such as Git Hub Copilot, Cursor, or Claude Code to improve productivity while maintaining high engineering quality.

What Were Looking For AI & Engineering Experience Around 25 years experience in software engineering, with at least 12 years working with AI/ML or Generative AI in a commercial setting. Solid Programming Foundations Strong skills in Python and/or JavaScript , with a good understanding of APIs, data handling, and software design principles. Cloud Awareness Experience deploying applications in AWS, GCP, or Azure , with some exposure to Docker and modern Dev Ops practices.

Engineering Mindset An interest in clean code, testing, and maintainability, with a desire to build systems that scale beyond prototypes. Curiosity & Growth You enjoy learning, experimenting responsibly, and developing your skills in a fast-moving AI environment. Nice to Have (But Not Essential)

Experience with vector databases , embeddings, or prompt optimisation. Exposure to MLOps , model deployment, or monitoring tools. Background in data engineering, front-end development, or UX-aware AI applications . Interest or experience in healthcare or regulated industries . What Youll Get Salary package of £60,000 £ 90,000 , depending on experience. Hybrid working with flexibility. Hands-on exposure to real-world AI systems, not just demos.

Clear progression path towards Senior or Lead AI Engineer roles. Supportive, high-calibre engineering environment with strong mentorship.