At a Glance
- Tasks: Build AI workflows for analysing financial documents and scale a live forecasting platform.
- Company: Global Hedge Fund in the heart of London with a supportive investment team.
- Benefits: High ownership, direct exposure to tech and investment workflows, and a dynamic work environment.
- Other info: Join a high-performing team and contribute to cutting-edge financial technology.
- Why this job: Tackle real-world AI challenges and make a significant impact in finance.
- Qualifications: 2-4 years experience, strong Python skills, and familiarity with LLM applications.
The predicted salary is between 70000 - 90000 £ per year.
We are a Global Hedge Fund based in the West End of London. We are hiring an AI / Machine Learning Engineer to help build an AI-assisted forecasting platform focused on Global bank equities. This is an exceptional opportunity within a successful and supportive investment team working in a well-established Hedge Fund. A terrific chance for the right candidate to contribute to the development of a leading-edge platform at the forefront of the investment process.
This role sits at the intersection of LLMs, data engineering and fundamental investment research. The system combines deterministic financial models with LLM-powered workflows that analyse earnings transcripts and other unstructured financial documents. The platform is already in use and now needs to scale from a small number of banks to 200+ names across multiple KPIs.
What you'll do:
- Build and improve LLM-powered workflows for analysing earnings transcripts and disclosures
- Develop and optimise RAG / retrieval pipelines for unstructured financial content
- Build and maintain data pipelines from ingestion through to model outputs
- Help design evaluation, testing and monitoring infrastructure for LLM systems
- Contribute to the scaling of a live forecasting platform used in an investment context
- Work closely with the Portfolio Manager and Technical Lead in a small, high-impact team
What we're looking for:
- Approx. 2–4 years' experience
- Strong Python skills
- Experience building LLM applications beyond simple prompting
- Experience with data pipelines and SQL
- Familiarity with RAG / retrieval, unstructured text workflows, or document pipelines
- Good software engineering habits: version control, testing, maintainable code
- Strong problem-solving ability and a practical, hands-on mindset
Nice to have:
- Experience with LLM eval / debugging
- Agentic workflows
- Docker, cloud, API development
- Tools such as LangChain, LlamaIndex, MCP
- Interest in financial markets or company analysis
Why join:
- Work on a real applied AI problem in a live investment setting
- High ownership in a successful, small, high-performing team
- Opportunity to help scale a differentiated research platform from early stage to broad coverage
- Direct exposure to both technical and investment workflows
AI / Machine Learning Engineer (Hedge Fund) in London employer: NDA
As a leading Global Hedge Fund located in the vibrant West End of London, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. Joining our team as an AI / Machine Learning Engineer offers you the unique opportunity to work on cutting-edge technology in a supportive environment, with ample room for professional growth and direct involvement in impactful investment strategies. Our commitment to employee development and the chance to contribute to a pioneering AI-assisted forecasting platform make us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI / Machine Learning Engineer (Hedge Fund) in London
✨Tip Number 1
Network like a pro! Reach out to people in the hedge fund and AI space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM projects or any relevant work. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with data pipelines and unstructured text workflows. We want to see your problem-solving mindset in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace AI / Machine Learning Engineer (Hedge Fund) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI/Machine Learning Engineer role. Highlight your Python expertise, experience with LLM applications, and any relevant projects you've worked on. We want to see how you can contribute to our forecasting platform!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in finance and how your background makes you a great fit for our team. Be sure to mention any specific experiences that relate to building data pipelines or working with unstructured financial content.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—show us how you've used them to solve real-world problems. Whether it's optimising workflows or developing new features, we love to see practical examples of your hands-on mindset and strong problem-solving ability.
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 this exciting opportunity. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at NDA
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific tools mentioned in the job description, like LangChain and LlamaIndex. Brush up on your experience with LLM applications and data pipelines, as you’ll want to showcase your technical skills confidently.
✨Understand the Financial Context
Since this role is at a hedge fund, it’s crucial to have a grasp of financial markets and investment processes. Familiarise yourself with how AI can impact investment strategies, especially in analysing earnings transcripts and unstructured data.
✨Prepare for Problem-Solving Questions
Expect to tackle some real-world problems during the interview. Think about past challenges you've faced in your projects and be ready to discuss your problem-solving approach. Highlight your hands-on mindset and how you’ve applied it in previous roles.
✨Show Enthusiasm for Team Collaboration
This position involves working closely with a small team, so express your excitement about collaboration. Share examples of how you’ve successfully worked in teams before, particularly in high-impact environments, to demonstrate that you’re a great fit for their culture.
