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- 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.
- 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 delivery.
- 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.
- 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 skills are required. A data science background that has moved into AI engineering / LLM product delivery is ideal. Bonus: Databricks, Azure, MLOps/CI-CD experience.
Senior AI/ML Specialist in England employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Specialist in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your projects! If you've built any AI solutions or worked on relevant projects, make sure to highlight them in conversations. Bring your portfolio to interviews and discuss how you tackled challenges and delivered results.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss your thought process when solving problems. We want to see how you think, not just the final answer!
✨Tip Number 4
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 exciting AI projects.
We think you need these skills to ace Senior AI/ML Specialist in England
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your experience aligns with our mission to build impactful AI solutions, so don’t hold back on sharing your journey in this field!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Senior AI/ML Specialist role. Highlight your experience with LLM/RAG systems and any projects where you've taken ownership from start to finish. This helps us see how you fit into our vision.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant. Make it easy for us to understand your skills and how they relate to 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 the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Harnham
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML concepts, especially around LLM and RAG systems. Be ready to discuss specific projects you've worked on, focusing on how you took them from concept to production. This will show that you can handle the responsibilities of the role.
✨Showcase Your Problem-Solving Skills
Prepare to talk about ambiguous problems you've tackled in the past. Think of examples where you designed practical AI solutions and how you approached deployment. This is a builder role, so demonstrating your ability to navigate uncertainty will be key.
✨Collaboration is Key
Since this role involves working closely with various teams, be ready to share experiences where you collaborated with engineering, data, or product teams. Highlight how you ensured smooth communication and delivery quality across different stakeholders.
✨Get Technical with Tools
Familiarise yourself with the tools mentioned in the job description, like Python, SQL, Databricks, and Azure. If you have experience with MLOps or CI-CD, make sure to mention it. Being able to discuss these technologies confidently will set you apart from other candidates.
