At a Glance
- Tasks: Lead the Core AI team to drive innovative infrastructure for AI in finance.
- Company: Join a leading tech firm in London focused on AI and quantitative finance.
- Benefits: Competitive salary, 35 days leave, healthcare, and relocation support.
- Other info: Inclusive culture with monthly events and opportunities for personal growth.
- Why this job: Shape the future of AI in finance while enjoying a great work-life balance.
- Qualifications: Expertise in C#, Python, Kubernetes, and experience in leading large-scale projects.
The predicted salary is between 72000 - 88000 £ per year.
We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas. As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.
The Core AI team owns the foundational platform that supports AI work across the firm. This includes GPU compute, model serving, developer experience and secure environments for AI agents. We are looking for an exceptional engineering manager to lead and grow the Core AI team within the Basecamp Technology group. You will be communicating platform strategy and impact to senior stakeholders, including the Head of Basecamp Technology and CTO. AI is part of how every team here works, accelerating thinking and delivering impact. All colleagues are expected to bring AI into their daily workflows. In this team, that means building the tools and services that make this possible.
Responsibilities:
- Driving the Core AI infrastructure roadmap in line with the firm's AI strategy
- Leading build versus buy decisions across model serving and inference infrastructure
- Designing and owning a centralised MCP gateway, working with platform teams to provide MCP services
- Collaborate with the open-source group to stay up to date and help to drive priorities for feature development in open-source products
- Defining secure sandboxing approaches for autonomous AI agents
- Leading and mentoring a team of product-focused engineers
- Driving developer adoption through SDKs, documentation and self-service tooling
Who are we looking for?
Requirements:
- Proven experience leading large-scale platform or infrastructure initiatives
- Strong communication skills, with the ability to influence stakeholders across technical and business functions
- Expert C# and Python skills, with experience building distributed systems
- Deep Kubernetes expertise, including operators, custom schedulers and multi-tenant cluster management
- Experience with Docker, Terraform and CI/CD in regulated environments
- Experience with GPU infrastructure and platform optimisation
- Experience operating MCP servers at scale, sandboxing technologies and open-source contributions
Why should you apply?
- Highly competitive compensation plus annual discretionary bonus
- Lunch provided (via Just Eat for Business) and dedicated barista bar
- 35 days' annual leave
- 9% company pension contributions
- Informal dress code and excellent work/life balance
- Comprehensive healthcare and life assurance
- Cycle-to-work scheme
- Monthly company events
- Experience days: all-expenses-paid, bucket-list outings with colleagues, from Michelin-star tasting menus to European day trips.
Relocation Support:
If you're relocating from within the UK or internationally to join us in London, we offer a comprehensive range of support services to assist you all the way. All costs associated with your relocation and immigration are covered by G-Research.
Concierge service: Your personal consultant will arrange travel; help find your new home and manage your move. They're also on hand to help with more bespoke requests too.
Immigration support: We'll partner you with an expert consultant who will guide you through the full immigration process.
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
Core AI Engineering Manager in London employer: gresearch
G-Research is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. As a Security Operations & Governance Analyst, you will benefit from a dynamic environment that prioritises employee growth through continuous learning and development opportunities, while also enjoying the unique advantage of contributing to a cutting-edge quantitative research firm that values accountability and process improvement.
StudySmarter Expert Advice🤫
We think this is how you could land Core AI Engineering Manager 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 gresearch 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 gresearch.
✨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 gresearch.
✨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 gresearch 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 Core AI Engineering Manager 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 gresearch.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at gresearch 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 gresearch
✨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 gresearch 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.
