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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 will 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 will 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 Slough employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - Fitness & Health in Slough
✨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 or can refer you directly!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous AI projects, especially any LLM or RAG systems you've built. This will give potential employers a clear view of what you can bring to the table. Don't forget to include links to any relevant code repositories!
✨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. Practice explaining complex concepts in simple terms for non-technical stakeholders.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with end-to-end AI solutions and how you can contribute to our mission in the fitness and health space.
We think you need these skills to ace Senior AI Engineer - Fitness & Health in Slough
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 Senior AI Engineer role. Highlight your hands-on experience with LLMs and RAG systems, and don’t forget to mention any relevant tools like LangChain. This shows us you’re not just sending a generic application but are genuinely interested in this position.
Be Clear and Concise: We appreciate clarity! When describing your past experiences, be straightforward and avoid jargon. Remember, we want to understand your journey and how you can contribute to our team. Use bullet points where possible to make it easy for us to read.
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 and what we stand for.
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 will show that you have the hands-on experience they’re looking for.
✨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 challenges. This is a builder role, so demonstrating your ability to create and implement solutions is key.
✨Communicate Clearly
Since you'll be working with stakeholders who may not be technical, practice explaining complex concepts in simple terms. This will help you stand out as someone who can bridge the gap between technical and non-technical teams, which is crucial for this role.
✨Familiarise Yourself with Their Tech Stack
If you know what tools and technologies the company uses, like Databricks or Azure, make sure to mention your experience with them. Even if you haven’t used them directly, showing that you’re eager to learn and adapt can go a long way.
