At a Glance
- Tasks: Design and develop AI/ML solutions for global financial projects.
- Company: Leading FinTech company based in Central London with remote options.
- Benefits: Flexible remote work, strong technical exposure, and excellent career growth.
- Other info: Collaborative environment with opportunities to innovate and excel.
- Why this job: Join a high-performing team and work with cutting-edge AI technologies.
- Qualifications: 4+ years in software engineering, 2+ years in AI/ML, strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
Our client, a leading FinTech company based in Central London, is urgently seeking an AI Engineer to join a high‑performing AI Engineering team delivering global financial technology projects. This role offers the chance to work with the latest advancements in Machine Learning, LLMs, PyTorch, and Python, contributing to cutting‑edge solutions across the organisation. This position offers remote flexibility, strong technical exposure, and excellent long‑term growth.
Key Responsibilities
- Design, develop, and integrate AI/ML solutions into production systems
- Work with LLMs, ML models, and modern AI frameworks to build scalable solutions
- Collaborate with engineering and product teams on global financial projects
- Apply prompt engineering and fine‑tuning techniques to optimise LLM performance
- Contribute to architecture, model evaluation, and deployment workflows
Required Skills & Experience
- 4+ years' experience in software engineering
- Minimum 2 years focused specifically on AI/ML
- Proven experience developing and integrating AI‑driven solutions
- Strong programming skills in Python and JavaScript
- Hands‑on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain)
- Understanding of prompt engineering and LLM fine‑tuning
- Solid grounding in machine learning concepts
- Experience working with Azure
AI Engineer in London employer: Fraser & Co. Talent Partners Limited
Fraser & Co. Talent Partners Limited is an exceptional employer, offering a dynamic work environment in the heart of Central London where innovation thrives. With a strong focus on employee growth and development, you will have the opportunity to lead transformative AI initiatives within a supportive and collaborative team. The hybrid working model ensures flexibility, while the chance to work on cutting-edge projects in a global financial services group makes this role both meaningful and rewarding.
Contact Details:
Fraser & Co. Talent Partners Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those working with AI. Use platforms like LinkedIn to connect and engage with industry professionals; you never know who might have a lead on your dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those using Python and frameworks like PyTorch. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of machine learning concepts. Practice common interview questions related to AI/ML and be ready to demonstrate your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI/ML frameworks like PyTorch and TensorFlow, and don’t forget to mention any relevant projects you've worked on that showcase your skills in Python and JavaScript.
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 the responsibilities of the role. Be sure to mention your experience with LLMs and prompt engineering techniques.
Showcase Your Projects:If you’ve worked on any interesting AI/ML projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, showcasing your hands-on experience can really set you apart from other candidates.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at Fraser & Co. Talent Partners Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI frameworks like PyTorch and TensorFlow. Brush up on your Python and JavaScript skills, as these will be crucial for the role. Be ready to discuss specific projects where you've applied these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles, especially those related to AI/ML solutions. Think of examples where you designed or integrated systems that improved performance or efficiency, and be ready to explain your thought process.
✨Understand the Business Context
Since this is a FinTech role, it’s important to grasp how AI can impact financial technology. Familiarise yourself with current trends in the industry and be prepared to discuss how your skills can contribute to global financial projects.
✨Practice Prompt Engineering
Given the focus on LLMs, make sure you understand prompt engineering and fine-tuning techniques. Prepare to discuss how you’ve optimised model performance in the past, and consider bringing examples of your work to illustrate your expertise.
