Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and deploy AI tools that make a real impact in a fast-paced environment.
- Company: Leading financial SaaS platform based in London with a focus on innovation.
- Benefits: Up to £150k salary, equity, minimal office visits, pension, and life cover.
- Why this job: Join a team where your AI skills can drive meaningful change and innovation.
- Qualifications: Experience in AI/ML engineering and proficiency in Python and cloud services.
- Other info: Collaborative culture that values experimentation and offers excellent career growth.
The predicted salary is between 72000 - 108000 £ per year.
Hugely Successful Financial SaaS Platform based in London, are looking for an AI Developer.
This isn’t a role where AI is a buzzword — it’s the job. We’re hiring an AI Developer who wants to build, ship, and iterate on real AI solutions that drive measurable impact across a fast-moving business. You’ll have the freedom to experiment with the latest models, frameworks, and tools — and the autonomy to turn ideas into production-ready applications.
What you’ll be doing:
- Build and deploy AI-powered tools and products from concept through to production
- Design and develop AI agents and agentic workflows that automate complex processes and enhance decision-making
- Engineer, test, and optimise prompts across generative AI applications for real-world use cases
- Prototype fast, learn faster — you’ll work in a culture that values experimentation over perfection
- Collaborate with product, commercial, and engineering teams to identify where AI can create the most value and integrate solutions into live workflows
- Stay hands-on with emerging AI technologies, models, and techniques — and bring what you learn back into the work
- Apply responsible AI practices, ensuring transparency, fairness, and governance are built in from the start
Requirements:
- Proven experience in AI/ML engineering, AI architecture, or data science — with a track record of building AI applications that actually ship
- Strong working knowledge of generative AI, LLMs, NLP, and frameworks like TensorFlow, PyTorch, and Hugging Face
- Hands-on experience with cloud AI services (AWS, Azure, or GCP) and deploying models into production environments
- Proficiency in Python, APIs, and AI-driven automation tooling
- The ability to look at a business problem and see where AI can solve it — not just technically, but practically
- Experience collaborating across product, commercial, and engineering teams to deliver integrated solutions
- A genuine curiosity for what’s next in AI — you experiment because you want to, not because you’re told to
Paying up to £150k + Equity
London Office Visit very minimal
Pension
Life Cover
Please only apply if you have full working UK Rights as there is no sponsorship on offer.
Please feel free to apply or email or call 077 256 18 238 to learn more.
AI Engineer - up to £150k in London employer: We Source Talent
Contact Detail:
We Source Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - up to £150k in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. 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, whether they’re personal or professional. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common AI-related questions and be ready to discuss your past projects in detail — we want to see your passion and expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team and contributing to exciting AI solutions.
We think you need these skills to ace AI Engineer - up to £150k in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Developer role. Highlight your experience with AI/ML engineering, generative AI, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Be genuine and let your personality come through — we love seeing enthusiasm!
Showcase Your Projects: If you've built any AI applications or tools, make sure to mention them in your application. We’re keen to see real-world examples of your work, so include links or descriptions of your projects that demonstrate your skills and creativity.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at We Source Talent
✨Know Your AI Stuff
Make sure you brush up on your knowledge of generative AI, LLMs, and NLP. Be ready to discuss specific frameworks like TensorFlow and PyTorch, and have examples of your past projects where you've built AI applications that made a real impact.
✨Show Your Problem-Solving Skills
Prepare to talk about how you've tackled business problems with AI solutions. Think of concrete examples where your work has enhanced decision-making or automated complex processes. This will show them you can think practically, not just technically.
✨Emphasise Collaboration
This role involves working closely with product, commercial, and engineering teams. Be ready to share experiences where you've successfully collaborated across different departments to deliver integrated AI solutions. Highlight your teamwork skills!
✨Be Curious and Experimental
They value experimentation over perfection, so come prepared to discuss your curiosity for emerging AI technologies. Share instances where you've prototyped quickly and learned from your experiments, showing that you're proactive in your learning.