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- Tasks: Build and deploy impactful AI solutions for a global fitness brand.
- Company: Join a leading fitness and wellness brand with a strong focus on AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of AI in a dynamic environment with real-world impact.
- Qualifications: 4-6+ years in AI engineering, strong Python and SQL skills required.
- Other info: Collaborative team culture with top-level support for AI initiatives.
The predicted salary is between 36000 - 60000 £ per year.
Do you want to build production GenAI products (not prototypes) in a business with real scale and board-level visibility? Have you shipped LLM/RAG systems end-to-end and owned them in production? Are you ready to join a new AI team early and shape how AI is delivered across a global consumer brand?
A global fitness and wellness brand is building a new Group AI function to deliver high-impact AI solutions across the organisation. With new leadership in place (including a newly appointed Chief AI Officer), this team has top-down backing and a clear mandate to ship measurable AI outcomes across both customer-facing and internal operational use cases. For example, app-based agents and optimization algorithms for physical spaces (maintenance, costs, customer experience).
As an AI Engineer, you’ll build and deploy end-to-end AI solutions across the company, working closely with stakeholders and owning delivery from brief to production. This is a builder role for someone who enjoys taking ambiguous problems, designing a practical AI solution, and deploying it into production. You’ll work across both GenAI and applied ML, building scalable AI services that directly improve customer experience and business performance.
Key responsibilities- Design, build and deploy end-to-end AI solutions
- Develop LLM solutions (e.g. RAG, workflow orchestration, evaluation)
- Build APIs/services integrating data sources and AI outputs
- Translate stakeholder needs into practical technical delivery plans
- Own delivery quality: reliability, performance, observability, iteration
- Collaborate across engineering, data, operations, and product teams
- 4-6+ years of industry experience
- Strong Python and SQL
- Hands-on GenAI delivery (RAG/LLMs; LangChain-style tooling strongly preferred)
- Comfortable operating independently with real ownership
- Solid stakeholder management and ability to explain clearly to non-technical audiences
- DS background that has moved into AI engineering / LLM product delivery is ideal
- Bonus: Databricks, Azure, MLOps/CI-CD experience
Interested? Please apply below.
Artificial Intelligence Engineer - Fitness & Health employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer - Fitness & Health
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially any LLM or RAG systems you've built. This is your chance to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI engineering. Think about how you would explain complex concepts to non-technical stakeholders – clarity is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it gives you a better chance of being noticed by our hiring team.
We think you need these skills to ace Artificial Intelligence Engineer - Fitness & Health
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how your experience aligns with our mission to deliver high-impact AI solutions. Share specific examples of projects you've worked on that demonstrate your skills in building and deploying AI systems.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the role. Highlight your experience with LLMs and RAG systems, and don’t forget to mention any relevant tools like LangChain. We love seeing how your unique background fits into our vision at StudySmarter!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your technical skills and experiences. Remember, we’re looking for someone who can communicate effectively with both technical and non-technical stakeholders, so show us you can do just that!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Harnham
✨Know Your AI Stuff
Make sure you brush up on your knowledge of GenAI and LLMs. Be ready to discuss your hands-on experience with RAG systems and how you've shipped them end-to-end. This role is all about practical solutions, so be prepared to share specific examples of your work.
✨Showcase Your Problem-Solving Skills
This position requires someone who can take ambiguous problems and turn them into clear, actionable AI solutions. Think of a few scenarios where you've done this in the past and be ready to explain your thought process and the impact of your solutions.
✨Communicate Like a Pro
You’ll need to explain complex technical concepts to non-technical stakeholders. Practice simplifying your explanations without losing the essence of your work. Use analogies or relatable examples to make your points clearer.
✨Collaborate and Connect
Since this role involves working closely with various teams, highlight your collaboration skills. Share experiences where you’ve successfully worked with engineering, data, and product teams to deliver projects. Show that you’re a team player who values input from others.
