At a Glance
- Tasks: Architect and build enterprise-scale AI platforms and sophisticated multi-agent systems.
- Company: Join a top-ranked hedge fund leading the way in AI technology.
- Benefits: Outstanding benefits, flexible work schedule, and relocation support for exceptional candidates.
- Other info: Collaborate with passionate engineers and investment professionals in a dynamic environment.
- Why this job: Shape the future of AI in investment management and solve unprecedented engineering challenges.
- Qualifications: Experience in large-scale AI platforms and deep expertise in modern GenAI architectures.
The predicted salary is between 90000 - 110000 £ per year.
We are looking to hire a prolific
Lead AI Engineer / Technical Lead for an equally prolific AI Platform team (ranked in the UK top 10).
We are looking for a World-Class Engineer and Thought-Leader to help this already successful team push the boundaries and drive the future vision of their AI Platform.
The hiring budget for this position is naturally very significant to attract a Lead Engineer of this calibre.
Help define the future of AI in investment management.
This is an opportunity to join one of the world's most technologically advanced hedge funds as it builds the next generation of AI capabilities across its global investment platform.
The firm has invested heavily in AI, modern infrastructure and engineering excellence, and is now looking for an exceptional engineer to help push the boundaries of what is possible with LLMs, multi-agent systems, AI orchestration and autonomous workflows in a production investment environment.
This isn't about building another internal chatbot.
You'll work directly with Portfolio Managers, Quant Researchers and senior technologists to design and deliver sophisticated AI systems capable of reasoning, collaborating and automating complex investment workflows.
From intelligent research assistants and agentic development platforms to multi-agent decision-support systems and autonomous operational tooling, you'll help define how AI transforms one of the world's leading investment managers.
You'll be expected to challenge conventional thinking, experiment with emerging technologies, and build production-grade platforms that deliver measurable business value.
The Role
- Architect and build enterprise-scale AI platforms, agentic workflows and production AI applications.
- Design and implement sophisticated multi-agent systems, orchestration frameworks and reusable AI capabilities.
- Partner with various teams to identify opportunities where AI can fundamentally improve research, analysis and decision-making.
- Provide technical leadership across complex AI initiatives, influencing architecture, engineering standards and platform evolution.
- Continuously improve the firm's shared AI platform, frameworks, tooling and developer experience.
- Evaluate emerging technologies and rapidly productionise those capable of creating genuine competitive advantage.
- Help establish best practices for observability and production operations.
This is not an AI Research or Scientist position.
- We\'re looking for engineers who
- Have experience designing and building large-scale distributed production AI platforms. Sophisticated AI, not basic RAG etc
- Have designed and built systems with measurable commercial impact.
- Possess deep expertise across LLMs, AI agents, retrieval systems, model orchestration and modern Gen AI architectures.
- Enjoy solving extremely difficult engineering problems and continuously learning new technologies.
- Think like platform engineers, building reusable capabilities that enable others to innovate faster.
- Are passionate about automation, engineering excellence and pushing technical boundaries.
- Can confidently influence senior engineers, technology leaders and business stakeholders
- Technology
You'll work across a modern AI engineering stack including
- Python, C#, Scala, Java or Go
- Lang Chain, Llama Index, Claude Code, Aider and emerging agentic AI frameworks
- MLflow and model evaluation tooling
- SQL, Pandas, Polars, Snowflake and Vector Databases
- Docker, Kubernetes, Helm and Flux
- Airflow, Dagster and DBT
Why Join?
Very few engineering roles offer the opportunity to shape AI and directly impact a large investment firm's output at this level.
Here, you'll work with truly exceptional and passionate engineers and investment professionals who view AI as a core business fundamental—not an experiment.
You'll help build the platforms, frameworks and AI ecosystems that will underpin the next generation of investing, research and operational intelligence.
If you're excited by solving problems that haven't been solved before, building AI systems at enterprise scale, and pushing the boundaries of technology in investment management, we'd love to hear from you.
Package
- Outstanding benefits package
- 4 days onsite / 1 day remote
- Relocation and visa sponsorship available for exceptional candidates with directly relevant experience
- #J-18808-Ljbffr
Lead Engineer, AI Platforms in London employer: Winston Fox
Winston Fox is an exceptional employer, offering a dynamic work environment at a leading Quantitative Hedge Fund in London. With a strong focus on innovation and collaboration, employees benefit from market-leading compensation, opportunities for professional growth, and the chance to work with cutting-edge technologies in a supportive culture that values creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Engineer, AI Platforms in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Winston Fox or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Winston Fox.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Winston Fox.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Winston Fox that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Lead Engineer, AI Platforms in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Winston Fox.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Winston Fox and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Winston Fox
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Winston Fox uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
