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- Tasks: Lead AI projects, design workflows, and ensure robust solutions for real-world impact.
- Company: Dynamic consumer services business transforming with cutting-edge AI technology.
- Benefits: Competitive salary, hybrid work model, and a matched pension scheme.
- Why this job: Shape the future of AI in a fast-paced environment and make a tangible difference.
- Qualifications: Experience in AI development and strong collaboration skills required.
- Other info: Mentorship opportunities and a vibrant team culture await you.
The predicted salary is between 48000 - 72000 £ per year.
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)
- 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 in City of London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and Data Science community, attend meetups, and engage on platforms like 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 AI projects, especially those involving LLMs or RAG systems. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience with AI proof-of-concepts and how you've tackled challenges in previous roles. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Artificial Intelligence Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of an Artificial Intelligence Engineer. Highlight your experience with LLMs, RAG systems, and any hands-on projects that showcase your skills in AI and Data Science.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your previous work has had a measurable impact. We want to see your motivation shine through, so don’t hold back!
Showcase Your Projects: If you've worked on relevant proof-of-concepts or have experience with AI architecture, make sure to include those details. We love seeing real-world applications of your skills, so share your successes!
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 this exciting opportunity in our growing AI team!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Databricks, and Azure. Brush up on your knowledge of RAG pipelines and vector databases, as these will likely come up during technical discussions.
✨Showcase Your Impact
Prepare to discuss specific examples where your work has led to measurable customer or commercial impact. Companies want to see how your contributions can translate into real-world success, so be ready with quantifiable results from your previous projects.
✨Understand the AI Lifecycle
Familiarise yourself with the full AI lifecycle, from data preparation to deployment and optimisation. Be prepared to talk about your experience in leading proof-of-concepts and how you’ve ensured solutions are robust and scalable.
✨Be Ready to Collaborate
Since this role involves partnering with product and engineering teams, think of examples that demonstrate your collaborative skills. Highlight any experiences where you’ve worked cross-functionally to improve chat flows or other AI-driven processes.
