At a Glance
- Tasks: Build and enhance AI workflows for analysing financial documents and scaling a live forecasting platform.
- Company: Global Hedge Fund in the heart of London with a supportive investment team.
- Benefits: Competitive salary, high ownership, and direct exposure to tech and investment workflows.
- Other info: Join a small, high-performing team with excellent growth opportunities.
- Why this job: Tackle real-world AI challenges in a dynamic investment environment and make a significant impact.
- Qualifications: 2-4 years of experience, strong Python skills, and familiarity with data pipelines.
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 Slough employer: NDA
Join our dynamic team at a leading Global Hedge Fund in the heart of London's West End, where innovation meets investment. We offer a collaborative work culture that fosters professional growth and encourages you to take ownership of your projects, all while working on cutting-edge AI technologies in a high-impact environment. With direct exposure to both technical and investment workflows, this role provides a unique opportunity to contribute to a pioneering forecasting platform and advance your career in the finance sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI / Machine Learning Engineer (Hedge Fund) in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how important it is to make those connections; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. We love seeing practical examples of your work, so make sure to highlight any LLM applications or data pipelines you've built.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common interview questions related to Python, SQL, and LLMs. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who want to make an impact in the investment world.
We think you need these skills to ace AI / Machine Learning Engineer (Hedge Fund) in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python skills, experience with LLM applications, and any relevant projects you've worked on. We want to see how you can contribute to our AI-assisted 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 and machine learning in finance. Share specific examples of your work with data pipelines or unstructured text workflows, and let us know why you’re excited about this opportunity at our hedge fund.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—show us how you've used them to solve real problems. Whether it's optimising a data pipeline or debugging an LLM application, we want to hear about your hands-on experience and practical mindset.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows you’re serious about joining our team!
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 RAG and LLM applications. Brush up on your experience with data pipelines and SQL, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you tackled complex problems, especially those related to unstructured financial content. Be ready to explain your thought process and how you approached challenges, as this will demonstrate your hands-on mindset.
✨Understand the Financial Context
Familiarise yourself with the hedge fund industry and the specific role of AI in investment processes. Showing genuine interest in financial markets and company analysis can set you apart and show that you’re not just a techie but also understand the business side.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and future goals. This shows your enthusiasm for the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage with your interviewers on a deeper level.
