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- Tasks: Design and deploy cutting-edge 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 impact.
- Qualifications: 4-6 years of experience in AI engineering and strong Python skills.
- Other info: Be part of a new AI team with top-level support and exciting projects.
The predicted salary is between 48000 - 72000 £ 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.
Senior AI Engineer - Fitness & Health in England employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - Fitness & Health in England
✨Tip Number 1
Network like a pro! Reach out to people in the fitness and health industry, especially those working with AI. Use platforms like LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous AI projects, especially those involving LLMs or RAG systems. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and stakeholder management skills. Be ready to discuss how you've tackled ambiguous problems in the past and how you can apply that experience to their needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI Engineer - Fitness & Health in England
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! We want to see how excited you are about building real-world solutions and making an impact in the fitness and health space.
Highlight Relevant Experience: Make sure to showcase your hands-on experience with LLMs and RAG systems. We’re looking for someone who has shipped these technologies end-to-end, so don’t hold back on those details!
Tailor Your Application: Customise your application to reflect the job description. Use keywords from the posting and align your skills with what we’re looking for. This shows us that you’ve done your homework and are genuinely interested in the role.
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 this exciting opportunity in our new AI team!
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 specific projects you've worked on, especially those involving RAG systems. This is your chance to showcase your hands-on experience and how you've delivered AI solutions in production.
✨Understand the Business Impact
Since this role is all about delivering measurable AI outcomes, think about how your previous work has improved customer experience or business performance. Prepare examples that highlight your ability to translate technical solutions into real-world benefits for the company.
✨Stakeholder Communication is Key
You’ll need to explain complex AI concepts to non-technical stakeholders. Practice simplifying your explanations and focus on how your solutions meet their needs. Being able to bridge the gap between tech and business will set you apart.
✨Show Your Problem-Solving Skills
This role is all about taking ambiguous problems and turning them into practical solutions. Think of a few challenging situations you've faced in your past roles and how you approached them. Be ready to discuss your thought process and the outcomes of your solutions.
