At a Glance
- Tasks: Build and scale advanced AI systems for financial risk management.
- Company: VC-backed startup revolutionising financial risk with AI.
- Benefits: Competitive salary, equity options, and a dynamic work environment.
- Other info: Join a fast-paced team with significant ownership over AI strategy.
- Why this job: Lead innovative AI projects that transform global financial decision-making.
- Qualifications: 3+ years in AI research or engineering with strong technical skills.
The predicted salary is between 80000 - 120000 £ per year.
Build and scale advanced agentic systems and proprietary models to automate complex financial risk management workflows. You will fine-tune LLMs, develop robust evaluation frameworks, and deploy production-ready AI features that transform how institutions handle massive data volumes. This role bridges frontier research and high-impact engineering in a rapid-growth, mission-driven environment in London.
Location: London, UK
Why this role is remarkable:
- Lead the development of sophisticated AI agents that automate high-stakes decision-making for global financial institutions.
- Join a high-velocity engineering team backed by top-tier global venture capital firms at a pivotal growth stage.
- Exercise significant ownership over AI strategy, from initial research and training to production-grade deployment and monitoring.
What You Will Do:
- Fine-tune large-scale models and vision systems to process complex documentation and conduct automated due diligence.
- Architect and maintain comprehensive benchmarking and evaluation pipelines to ensure the reliability of autonomous agentic workflows.
- Partner with product teams to translate state-of-the-art AI research into scalable features for a regulated production environment.
The ideal candidate:
- 3+ years of experience in AI research or engineering with a track record of building and shipping agentic systems.
- Deep technical expertise in model training, fine-tuning, and modern MLOps practices for production-ready AI applications.
- Strong engineering fundamentals with proficiency in TypeScript and a product-oriented mindset that prioritises real-world impact.
AI Research Engineer (£80k-£120k + Equity) at VC-backed financial risk AI startup employer: Jack & Jill
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StudySmarter Expert Advice🤫
We think this is how you could land AI Research Engineer (£80k-£120k + Equity) at VC-backed financial risk AI startup
✨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 Jack & Jill 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 Jack & Jill.
✨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 Jack & Jill.
✨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 Jack & Jill 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 AI Research Engineer (£80k-£120k + Equity) at VC-backed financial risk AI startup
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 Jack & Jill.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jack & Jill 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 Jack & Jill
✨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 Jack & Jill 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.
