At a Glance
- Tasks: Drive innovation in AI by developing cutting-edge solutions and mentoring junior team members.
- Company: Dynamic business embedding AI into customer interactions and internal tools.
- Benefits: Up to ÂŁ80,000 salary, 10% bonus, hybrid work, and matched pension.
- Why this job: Join an ambitious AI journey and shape the future of customer experience.
- Qualifications: 3+ years in AI/ML, strong Python skills, and experience with modern AI tools.
- Other info: Collaborative environment with opportunities for real-world impact 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 City of London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and RAG systems. This will give potential employers a taste of what you can do.
✨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!
We think you need these skills to ace Senior AI Scientist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior AI Scientist role. Highlight your Python expertise, AI/ML projects, and any relevant tools you've worked with. We want to see how you can contribute to our AI journey!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how your experience aligns with our goals at StudySmarter. Don’t forget to mention specific projects or achievements that demonstrate your hands-on approach.
Showcase Your Collaboration Skills: Since this role involves working closely with various teams, emphasise your teamwork and communication skills in your application. We love candidates who can engage stakeholders and mentor others, so let us know how you've done this in the past!
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 the role. Plus, it shows you’re keen on joining our dynamic team!
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, RAG pipelines, and any tools like Databricks or LangChain. The more specific examples you can provide, the better!
✨Showcase Your Collaboration Skills
This role involves working closely with various teams, so be prepared to talk about your past experiences collaborating with stakeholders. Highlight how you've translated business needs into practical AI solutions and how you’ve mentored junior team members.
✨Demonstrate Problem-Solving Abilities
Think of a few real-world problems you've solved using AI-driven solutions. Be ready to explain your thought process and the impact of your work. This will show that you can deliver real-world value, which is key for this position.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's AI initiatives and future plans. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it’s a great way to engage with your interviewers!