At a Glance
- Tasks: Shape AI platforms and tools that drive high-impact research in finance.
- Company: Join a leading tech firm in London focused on innovative AI solutions.
- Benefits: Competitive pay, 35 days leave, free lunch, and a relaxed dress code.
- Other info: Inclusive culture with great career growth and monthly company events.
- Why this job: Transform finance with cutting-edge AI while collaborating with top researchers.
- Qualifications: Strong software engineering skills and experience with modern AI technologies.
The predicted salary is between 70000 - 90000 £ 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.
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 Applied AI team sits at the centre of this effort, building the AI layer that will transform how teams across the firm work, from quant research to engineering, risk and operations.
Key Responsibilities- Work across areas such as retrieval and knowledge systems, multi‑agent orchestration, evaluation, reliability and context engineering.
- Take AI systems from early prototypes to trusted, production‑ready solutions.
- Own high‑impact projects from initial concept through to production.
- Partner with teams across the firm to identify problems and deliver scalable solutions.
- Turn team‑specific use cases into solutions that can be adopted more widely across the organisation.
- Strong software engineering background with modern AI technologies.
- Hands‑on experience building LLM‑powered systems in production, including agents, RAG pipelines, MCPs, tool‑use and multi‑step workflows.
- Familiarity with frameworks such as LangGraph, Pydantic AI or similar.
- Strong Python engineering skills and ability to produce clean, testable, production‑quality code.
- Experience with context engineering: retrieval strategies, prompt construction, information routing, memory.
- Experience with evaluation and observability for AI systems, including measuring accuracy, detecting regressions and understanding failure modes.
- Ability to work across domains; comfortable embedding with quantitative research teams one month and ops teams the next.
- Clear communication skills.
- Experience with fine‑tuning or adapting foundation models (e.g., LoRA, DPO).
- Comfort integrating with heterogeneous stacks such as C#, C++, JVM, gRPC, Kubernetes.
- Contributions to open‑source AI projects, technical writing or conference talks.
- 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.
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.
Applied AI Engineer in London employer: Barlowe LLP
At G-Research, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. Our commitment to employee growth is evident through our collaborative culture, competitive benefits including 35 days of annual leave and a generous pension scheme, and opportunities to work on high-impact projects that shape the future of quantitative finance. Join us to be part of a diverse team that values your ideas and fosters a healthy work/life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer 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 Barlowe LLP 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 Barlowe LLP.
✨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 Barlowe LLP.
✨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 Barlowe LLP 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 Applied AI Engineer 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 Barlowe LLP.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Barlowe LLP 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 Barlowe LLP
✨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 Barlowe LLP 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.
