At a Glance
- Tasks: Design and build AI applications for complex financial workflows using cutting-edge technologies.
- Company: Join a fast-growing AI platform transforming global debt markets.
- Benefits: Competitive salary, hybrid work, generous holiday, and professional development budget.
- Other info: Dynamic startup culture with opportunities for growth and innovation.
- Why this job: Make a real impact in AI while working with top researchers and engineers.
- Qualifications: Strong Python skills and expertise in AI/ML areas like recommendation systems and knowledge graphs.
The predicted salary is between 63000 - 77000 £ per year.
About the company the company is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion.
Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. the company replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets.
Today, the company powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors.
The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption.
We’re at a defining inflection point.
With proven product-market fit and strong, global market pull, the company is accelerating toward becoming the category-defining platform for debt markets worldwide.
The Opportunity The Data Science team is growing at the company!
We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining.
We are looking for a AI Engineer to accelerate our application of AI across teams and products.
Come and join us, you will get to build large-scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers!
- Every day is different, but here's an example of the kind of things you'll work on:
- Design and build generative AI applications tailored to complex financial and legal workflows, leveraging state-of-the-art models to deliver innovative, practical solutions that streamline decision-making and unlock new efficiencies.
- Drive end to end model development lifecycle, leading the team in best practices, ensuring reproducible research and well managed model delivery/deployment.
- Collaborate cross functionally to share diverse ideas, understand business problems, and elevate/mentor your teammates.
- Translate complex problems into well-defined scoped bets in an internal startup style environment, dynamic and fast-paced.
- Learn and apply ground-breaking research and approaches in advanced topics, iterating improvements with a fail fast mentality.
- Be a proactive sharer of compelling ideas/work to the rest of the team and organisation. We want you to help lead/push the adoption of AI throughout the company.
About You This role will be a great fit if you
- Strong proficiency in Python for production ready delivery.
- You’re an expert in any of the following areas - deep expertise in one and familiarity with others is ideal:
- Information Retrieval: chunking strategies, (finetuning) embedding models, training re-rankers.
- Entity/relationship extraction/resolution
- Knowledge Graphs; building and inference, graph RAG
- Recommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc.
- Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)
- Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc.
- Deep understanding of the Gen AI landscape and agentic frameworks.
- Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). We are data centric and love our evals!
- You have a strong product focus with a desire to understand the end-to-end impact of your solutions for our end users.
- Good knowledge of AWS’s AI infrastructure.
Benefits We’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people.
We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.
- Financial & Insurance
- Competitive Salary (our salary bands are benchmarked at the top end of the market)
- Pension (your minimum contributions are 4% with the company matching up to 7%)
- Private Medical Insurance
- Paid sick leave with Income Protection for long periods of illness
- Group Life Assurance
- Season Ticket Loan & Cycle to Work schemes
- Time off
- 25 holiday days per year
- Local public holidays (with the ability to exchange them for alternative days)
- Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work
- Work abroad for up to 3 months a year
- 1 month paid sabbatical after 5 years of service
- Enhanced parental leave & flexible working arrangements available
- Training & Culture
- Professional learning and development budget
- AI experimentation budget of £800 (UK) per employee to trial AI tools
- Quarterly team socials
- Summer and Winter company social events the company is an equal opportunities employer
At the company we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong.
We recognize that building diverse teams enables a more creative and productive environment.
If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway.
You might just be who we’re looking for — either for this role, or perhaps another.
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AI Engineer in London employer: United States Digital Space LLC
At our company, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions diversity and inclusion. With a strong focus on employee growth, we provide clear career paths, personal learning budgets, and generous benefits such as private healthcare and a flexible work-from-abroad policy. Join us in London and be part of a team dedicated to making a positive impact through greener travel choices while enjoying the perks of a supportive and innovative environment.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land 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 United States Digital Space LLC 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
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✨Tap into Online Developer Communities
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We think you need these skills to ace 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 United States Digital Space LLC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC 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 United States Digital Space LLC
✨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 United States Digital Space LLC 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.
