Applied AI engineer in fitness

We’re The Gym Group... We’re one of the UK’s leading fitness businesses. With more than one million members, 265+ gyms and ambitious plans to keep growing, we’re the UK’s second-largest gym operator by membership and the fourth largest in Europe. Our mission is simple: to break down barriers to fitness for all.

• Designing and building production-ready agents, copilots and workflow automations that integrate with our existing systems, data and processes.
• Embedding with business and product teams to identify, scope and deliver high-value AI solutions from prototype to production, with clear measures of success and defined handover points.
• Contributing AI-enabled features to member-facing products alongside our Product Engineers, owning your work through deployment and incidents.
• Evaluating and monitoring AI solutions in production and reporting impact honestly - including cost, error rates and what did not work.
• Coaching team members while building real solutions so that capability stays with the team after each engagement, and creating reusable playbooks and standards shared across the business.
• Working daily with the AI Platform Engineer, Tech Leads, Product Leads and AI Ambassadors to use approved models and tooling and contribute reusable components back to the platform.
• Keeping human oversight and clear accountability at the centre of every solution, working with Information Security and Data Protection throughout.

• Practical experience building applied AI solutions with large language models, including retrieval-augmented generation, agents and workflow automation.
• Substantial experience building and deploying production software end-to-end, owning outcomes through deployment and support.
• Hands-on experience with LLM APIs, prompt and context engineering, retrieval and vector search, and agent workflows involving tool use and human oversight.
• Experience building and deploying secure solutions using cloud infrastructure, CI/CD and appropriate controls for data access.
• Experience working directly with non-technical stakeholders to turn ambiguous problems into scoped, working solutions.
• Proficiency in Python as a primary production language, with working knowledge of at least one additional language.
• Experience integrating APIs, systems and data sources into existing business processes in real-world environments.
• Experience evaluating and monitoring AI solutions in production, including observability and impact measurement.
• A collaborative, low-ego approach and evidence of coaching others so that technical capability stays with the team.

• Условий в вакансии нет