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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 required.
- Other info: Be part of a new AI team 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 City of 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 City of London
✨Tip Number 1
Network like a pro! Reach out to folks 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 past projects, especially those involving LLMs or RAG systems. This will give potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and stakeholder management skills. Be ready to discuss how you've delivered AI solutions in the past and how you can translate complex ideas to non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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 City of London
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 build impactful AI solutions. Share specific examples of projects you've worked on that demonstrate your skills in GenAI and LLM delivery.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Senior AI Engineer role. Highlight relevant experiences, especially those involving end-to-end AI solutions and stakeholder collaboration. We love seeing how you can translate complex technical concepts into practical applications!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your achievements and how they relate to the job description. Remember, we appreciate clarity, especially when it comes to technical details that might need to be explained to non-technical audiences.
Apply Through Our Website: Don’t forget to apply 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 our company culture and values while you’re at it!
How to prepare for a job interview at Harnham
✨Know Your AI Stuff
Make sure you brush up on your knowledge of GenAI and LLM systems. Be ready to discuss specific projects you've worked on, especially those where you took a product from concept to production. This shows you can handle the real-world challenges they'll throw at you.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled ambiguous problems in the past. Think of examples where you designed practical AI solutions and how you approached the entire process from design to deployment. This will highlight your ability to think critically and creatively.
✨Communicate Like a Pro
Since you'll be working with stakeholders who may not be technical, practice explaining complex concepts in simple terms. Use analogies or relatable examples to demonstrate your ideas clearly. This will show that you can bridge the gap between tech and business needs.
✨Get Familiar with Their Tech Stack
If the job description mentions specific tools like Databricks or Azure, make sure you have a basic understanding of them. Even if you haven't used them extensively, showing that you're willing to learn and adapt will impress your interviewers.
