At a Glance
- Tasks: Shape AI systems that transform how teams work and drive high-impact research.
- Company: Join a leading firm in quantitative finance with a focus on innovation.
- Benefits: Competitive pay, 35 days leave, healthcare, and monthly events.
- Other info: Enjoy a flexible work environment with a focus on diversity and inclusion.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Strong software engineering skills with modern AI technologies and Python.
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.
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 role We are building the AI layer that will transform how teams across the firm work, from quant research to engineering, risk and operations.
The Applied AI team sits at the centre of this effort.
We are a small, high-autonomy team focused on defining how AI should be used across the entire company and delivering it in practice.
We own a number of large high-impact projects end-to-end.
Working across areas such as retrieval and knowledge systems, multi-agent orchestration, evaluation and reliability and context engineering Taking AI systems from early prototypes to trusted, production-ready solutions Owning high-impact projects from initial concept through to production Partnering with teams across the firm to identifying problems and delivering scalable solutions Turning team-specific use cases into solutions that can be adopted more widely across the organisation Who are we looking for?
You are a strong software engineer who actively builds with modern AI technologies.
Hands-on experience building with LLMs in production, including agents, RAG pipelines, MCPs, tool-use, multi-step workflows.
You've used frameworks like Lang Graph, Pydantic AI or similar, and you know when to use them and when to throw them away Strong Python engineering skills.
Clean, testable, production-quality code Experience with context engineering, including retrieval strategies, prompt construction, information routing, memory Experience with evaluation and observability for AI systems.
You're comfortable embedding with a quant research team one month and an ops team the next Clear communication Fine-tuning or adapting foundation models, such as Lo RA and DPOComfort integrating with heterogeneous stacks, such as C#, C++, JVM, g RPC, Kubernetes Contributions to open-source AI projects, technical writing or conference talks.
We're looking for people who want to shape how an entire organisation works with AI.
Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista bar35 days annual leave9% 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.
If you have a disability or special need that requires accommodation please let us know in the relevant section Summary
Senior Applications Engineer (Remote) in London employer: G Research
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 mentorship opportunities, comprehensive healthcare, and a strong focus on work-life balance, all while fostering a culture that values diversity and collaboration. Join us to tackle complex challenges in cyber security and be part of a team that not only values your contributions but also invests in your future.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applications Engineer (Remote) 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 G Research 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 G Research.
✨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 G Research.
✨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 G Research 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 Senior Applications Engineer (Remote) 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 G Research.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at G Research 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 G Research
✨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 G Research 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.
