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- Tasks: Design and deploy cutting-edge AI solutions that enhance customer experience and business performance.
- Company: Join a global 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 team with real impact on a global scale.
- Qualifications: 4-6 years of experience in AI engineering, strong Python and SQL skills required.
- Other info: Be part of a new AI function with top-level support and exciting projects.
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.
Senior AI Engineer - Fitness & Health in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - Fitness & Health in London
✨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 problem-solving 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, it shows you’re genuinely interested in joining our team and contributing to our mission.
We think you need these skills to ace Senior AI Engineer - Fitness & Health in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and its potential in fitness and health shine through. We want to see how you can contribute to our mission of delivering high-impact AI solutions.
Highlight Relevant Experience: Make sure to detail your hands-on experience with LLMs and RAG systems. We’re looking for someone who has shipped these solutions end-to-end, so don’t hold back on showcasing your achievements!
Tailor Your Application: Customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We appreciate when candidates take the time to align their background with what we’re looking for.
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 your hands-on experience with RAG systems and how you've delivered them end-to-end. Prepare examples that showcase your ability to translate complex technical concepts into practical solutions.
✨Showcase Your Problem-Solving Skills
This role is all about taking ambiguous problems and turning them into actionable AI solutions. Think of specific challenges you've faced in previous roles and how you approached them. Highlight your design process and the impact your solutions had on customer experience or business performance.
✨Communicate Like a Pro
You’ll need to explain technical details to non-technical stakeholders, so practice simplifying your language. Prepare to discuss how you’ve successfully collaborated with different teams, ensuring everyone is on the same page. Clear communication can set you apart from other candidates.
✨Demonstrate Ownership and Independence
The company is looking for someone who can operate independently and take real ownership of projects. Share examples of when you’ve led a project from start to finish, detailing how you managed timelines, quality, and stakeholder expectations. This will show you’re ready for the responsibility.
