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For Companies At a Glance
- Tasks: Lead AI projects and develop innovative solutions that make a real impact.
- Company: Join a dynamic, private-equity-backed consumer services business transforming with AI.
- Benefits: Competitive salary, bonus, pension, and hybrid work model.
- Why this job: Be at the forefront of AI technology and shape the future of customer interactions.
- Qualifications: Experience in AI engineering and a passion for impactful technology.
- Other info: Mentorship opportunities and a collaborative environment await you.
The predicted salary is between 48000 - 72000 £ per year.
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.
- Lead development of LLM and AI proof-of-concepts
- 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
Hybrid, 3 days per week (Tuesday & Wednesday fixed)
Stack: Python, Databricks, RAG, vector databases, Azure (preferred), LangChain / LangFuse
Visa: This role cannot sponsor
Remote C# Engineer in England employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote C# Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions to open-source. We want to see what you can do, so make it easy for us to find your best work.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI roles and practice your answers. We’re looking for candidates who can articulate their thought process and problem-solving skills clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Remote C# Engineer in England
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and data science. Share specific examples of projects you've worked on that relate to LLMs or AI proof-of-concepts. We want to know what drives you!
Tailor Your CV: Make sure your CV is tailored to the role. Highlight relevant experience with Python, Databricks, and any other technologies mentioned in the job description. We love seeing how your skills align with what we need!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
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. We can’t wait to see what you bring to the table!
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 LLMs and AI proof-of-concepts, as you'll likely be asked to discuss how you've used these tools in past projects.
✨Showcase Your Impact
Prepare examples that highlight measurable customer and commercial impact from your previous work. This role is all about delivering results, so be ready to discuss how your contributions have made a difference in past projects or roles.
✨Understand the AI Lifecycle
Familiarise yourself with the full AI lifecycle, from data preparation to deployment and optimisation. Be prepared to discuss your experience in each stage and how you ensure solutions are robust and scalable.
✨Mentorship Mindset
Even though this role doesn’t involve formal line management, be ready to talk about how you’ve mentored or supported junior engineers in the past. Highlight your approach to sharing knowledge and fostering growth within a team.
