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For Companies At a Glance
- Tasks: Design and maintain scalable backend systems for advanced ML and LLM applications.
- Company: Fast-growing tech startup revolutionising data use for brands and retailers.
- Benefits: Competitive salary up to £80,000, remote work, and a dynamic team environment.
- Why this job: Join a high-impact team and drive innovation in AI and machine learning.
- Qualifications: Strong background in Computer Science, ML, AI, and hands-on experience with Python.
- Other info: Opportunity to work with cutting-edge technologies and make a real-world impact.
The predicted salary is between 48000 - 64000 £ per year.
Job Description
Do you want to shape how LLMs are deployed at scale in a real business?
Have you built RAG or agentic systems that moved beyond experimentation?
Are you motivated by measurable customer and commercial impact, not demos?
A private-equity-backed consumer services business is scaling its Data Science & AI capability as part of a multi-year transformation. Following an award-winning data programme, the company now has an established AI function and is investing further in LLM-powered assistants, RAG pipelines, voice/chat intelligence and early agentic workflows across both customer-facing and internal products.
This Senior AI Engineer role is a hands-on individual contributor position, sitting between Data Science and AI Engineering. You will lead AI proof-of-concepts, design retrieval and context strategies, contribute to the AI architecture, and ensure solutions are robust, scalable and commercially grounded. The role spans the full AI lifecycle, from data preparation and model evaluation through to deployment and optimisation.
Key responsibilities
• Lead development of LLM and AI proof-of-concepts
• Design and implement RAG pipelines and agentic workflows
• Define evaluation frameworks for LLM quality and response accuracy
• Partner with product and engineering on chat flows and continuous improvement
• Contribute to AI platform architecture and best practices
• Mentor junior ML / AI engineers (no formal line management)
Key details
• Salary: £80,000 base + 10% bonus
• Pension: 5% matched
• Working model: Hybrid, 3 days per week (Tuesday & Wednesday fixed)
• Location: Central London
• Stack: Python, Databricks, RAG, vector databases, Azure (preferred), LangChain / LangFuse
• Visa: This role cannot sponsor
Interested? Please apply below.
Artificial Intelligence Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 projects, especially those involving ML and AI. Share your GitHub link during interviews or networking events to give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common algorithms and data structures, and be ready to discuss your past projects in detail. We all know that confidence is key!
✨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 Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior ML & AI Engineer. Highlight your experience with Python, ML frameworks, and MLOps. We want to see how your skills align with what we’re looking for!
Showcase Your Projects: Include any relevant projects or experiences that demonstrate your hands-on work with ML systems and backend development. We love seeing real-world applications of your skills, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re passionate about AI and ML, and how you can contribute to our team. Keep it engaging and personal – we want to get to know you!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you’re well-versed in the key technologies mentioned in the job description, like Python, PyTorch, and TensorFlow. Brush up on your MLOps knowledge too, especially around CI/CD processes and model monitoring, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed and deployed ML models. Highlight your role in building scalable backend systems and any experience with LLM integration. Real-world examples will demonstrate your hands-on experience and problem-solving skills.
✨Understand Their Business
Research the company’s AI platform and how it optimises product ranges and shopper journeys. Being able to articulate how your skills can directly contribute to their goals will show that you’re not just a techie but also understand the business impact of your work.
✨Ask Insightful Questions
Prepare thoughtful questions about their current ML challenges or future projects. This shows your genuine interest in the role and helps you gauge if the company culture and team dynamics align with what you’re looking for.
