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- Tasks: Lead AI projects, design strategies, and ensure robust, scalable solutions.
- Company: Dynamic consumer services business with a focus on AI innovation.
- Benefits: Competitive salary, bonus, pension, and hybrid work model.
- Why this job: Join a transformative team and make a real impact in AI development.
- Qualifications: Experience in AI engineering and strong collaboration skills.
- Other info: Opportunity to mentor junior engineers and grow in a fast-paced environment.
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 engineer in England employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote 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 and proof-of-concepts. We want to see your hands-on experience, so make sure it’s easy for potential employers to find and understand your work.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your approach to AI architecture and model optimisation. We suggest practising common interview questions with a friend or using mock interview platforms.
✨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 are genuinely interested in joining our team.
We think you need these skills to ace Remote engineer in England
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and data science shine through. We want to see how motivated you are by the impact of your work, so share examples of projects or experiences that highlight your passion.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight relevant skills and experiences that align with our needs, especially in LLMs and AI proof-of-concepts. This shows us you’ve done your homework and are genuinely interested.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and how they fit the role.
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 what we do at StudySmarter.
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 RAG pipelines, as you might be asked to discuss how you would implement these in real-world scenarios.
✨Showcase Your Impact
Prepare examples from your past work that demonstrate measurable customer and commercial impact. Be ready to explain how your contributions led to tangible results, especially in AI or data science projects. This will resonate well with the company's focus on impactful solutions.
✨Be Ready to Collaborate
Since this role involves partnering with product and engineering teams, think of examples where you successfully collaborated across disciplines. Highlight your communication skills and how you’ve contributed to team success in previous roles.
✨Mentorship Mindset
Even though there’s no formal line management, being a mentor is key. Prepare to discuss how you’ve supported junior engineers in the past, whether through code reviews, guidance on best practices, or sharing knowledge about AI architecture.
