Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy impactful AI solutions for a global fitness brand.
- Company: Join a leading 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 environment with real-world impact.
- Qualifications: Strong Python and SQL skills; experience in AI engineering and LLM product delivery.
- 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.
- Design, build and deploy end-to-end AI solutions
- Build APIs/services integrating data sources and AI outputs
- Own delivery quality: reliability, performance, observability, iteration
- Collaborate across engineering, data, operations, and product teams
Strong Python and SQL ~ DS background that has moved into AI engineering / LLM product delivery is ideal ~ Bonus: Databricks, Azure, MLOps/CI-CD experience
Senior AI Specialist (w/m/d) in England employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Specialist (w/m/d) in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Showcase your skills! Create a portfolio of your AI projects, especially those involving LLM/RAG systems. This will give you a tangible way to demonstrate your expertise and passion when chatting with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Think about how you've tackled ambiguous problems in the past and be ready to discuss your approach to building scalable AI solutions.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a better chance of being noticed by the hiring team.
We think you need these skills to ace Senior AI Specialist (w/m/d) in England
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 building and deploying AI products.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Senior AI Specialist role. Highlight your experience with LLM/RAG systems and any relevant projects that showcase your ability to take ambiguous problems and turn them into practical AI solutions. We love seeing how you can fit into our team!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications. Use bullet points where possible to highlight key achievements and skills, especially those related to Python, SQL, and AI engineering.
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/RAG systems. Be ready to discuss specific projects you've worked on, especially those where you took ownership from start to finish. This shows you're not just familiar with the theory but have real-world experience.
✨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 successfully deployed them. This will demonstrate your ability to think critically and act decisively, which is key for this role.
✨Collaboration is Key
Since you'll be working closely with various teams, be ready to share examples of how you've collaborated with engineering, data, and product teams in previous roles. Highlight your communication skills and how you ensure everyone is aligned towards a common goal.
✨Technical Skills Matter
Don't forget to highlight your technical skills, especially in Python and SQL. If you have experience with Databricks, Azure, or MLOps/CI-CD, make sure to mention it. Being able to discuss your technical expertise confidently can set you apart from other candidates.
