Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Drive innovation in AI by developing and prototyping cutting-edge solutions.
- Company: Dynamic business embedding AI into customer interactions and internal tools.
- Benefits: Up to ÂŁ80,000 salary, 10% bonus, hybrid work, and pension matching.
- Why this job: Join an ambitious AI journey and make a real impact on technology.
- Qualifications: 3+ years in AI/ML, strong Python skills, and experience with LLM projects.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
The predicted salary is between 48000 - 64000 ÂŁ per year.
Are you passionate about shaping the next generation of AI-powered products? Join a dynamic, fast-moving business that’s embedding AI into everything from customer interactions to internal tools. We’re looking for an experienced Data & AI Scientist to help drive innovation across cutting-edge AI initiatives — from chatbots and voice assistants to advanced retrieval-augmented generation (RAG) systems and agentic workflows.
The Role
- Develop and prototype AI-driven solutions across customer-facing and internal applications.
- Build and optimise LLM-based assistants, RAG pipelines, and agentic AI workflows.
- Collaborate on the architecture and deployment of scalable AI solutions (with support from engineering).
- Partner with stakeholders to translate business needs into practical, intelligent systems.
- Mentor junior team members and contribute to the evolution of our AI tooling stack.
This role is ideal for a hands-on AI practitioner who enjoys experimentation, collaboration, and delivering real-world value.
What You’ll Bring
- 3+ years experience in a commercially driven customer environment.
- Strong Python skills and solid grounding in AI/ML fundamentals.
- Experience with some of Databricks, LangChain, vector databases, or LLM orchestration tools.
- Knowledge of RAG pipelines, transformers, and modern AI architectures.
- Understanding of deployment or MLOps best practices (Azure experience a plus).
- Recent, hands-on experience with applied LLM projects.
- Strong communication and stakeholder engagement skills.
- A Master’s degree in Computer Science, ML, or AI is preferred but not required.
The Opportunity
- Be part of an ambitious AI journey - already 70% built, with big plans for the next 5 years.
- Contribute to short-term LLM “quick wins” and longer-term agentic AI development.
- Work in a collaborative, supportive environment with senior data leaders.
- Help shape how AI transforms both customer experience and business efficiency.
Package & Details
- Salary: Up to ÂŁ80,000 + 10% Bonus + 5% Matched Pension
- Hybrid working: 3 days per week in London office (Tues/Weds fixed)
- No visa sponsorship available
Apply below!
Senior AI Scientist in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Scientist in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs or RAG systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and AI fundamentals. Be ready to discuss your hands-on experience with applied LLM projects and how you've tackled real-world problems.
✨Tip Number 4
Don't forget to 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 proactive about their job search!
We think you need these skills to ace Senior AI Scientist in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how your experience aligns with our mission to innovate and shape the future of AI-powered products.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to highlight relevant skills and experiences that match the job description. We love seeing how you can contribute to our AI initiatives!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your key achievements and skills stand out without unnecessary fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with StudySmarter.
How to prepare for a job interview at Harnham
✨Know Your AI Stuff
Make sure you brush up on your AI and ML fundamentals. Be ready to discuss your hands-on experience with LLM projects and any tools like Databricks or LangChain. They’ll want to see that you can talk the talk and walk the walk!
✨Showcase Your Collaboration Skills
This role is all about teamwork, so be prepared to share examples of how you've worked with others in the past. Highlight any mentoring experiences or how you've partnered with stakeholders to turn business needs into practical solutions.
✨Prepare for Technical Questions
Expect some deep dives into technical topics, especially around RAG pipelines and modern AI architectures. Brush up on deployment best practices and MLOps, particularly if you have Azure experience. Being able to explain these concepts clearly will set you apart.
✨Demonstrate Your Passion
Let your enthusiasm for AI shine through! Talk about why you're excited about shaping AI-powered products and how you see yourself contributing to their ambitious journey. A genuine passion can make a lasting impression.
