AI Engineer

United States Digital Space LLC; Greater London; Hybrid; GBP 120,000 - 170,000; Full time

Benefits offered by this job

Pension

Private Medical Insurance

Sick leave with Income Protection

Group Life Assurance

Season Ticket Loan

Cycle to Work

25 holidays per year

Hybrid working

Work abroad up to 3 months a year

Sabbatical after 5 years

Parental leave & flexible working

Job summary

United States Digital Space LLC is seeking an AI Engineer to accelerate AI across teams and products. You will build large-scale AI-powered systems, apply the latest techniques, and collaborate with researchers and engineers.

Responsibilities include designing generative AI applications for complex workflows, leading the model lifecycle, and mentoring teammates while pushing for company-wide AI adoption.

Qualifications

• Strong proficiency in Python for production-ready delivery.
• Deep expertise in GenAI and agentic frameworks.
• Experience with end-to-end model lifecycle: experimentation, training, testing, monitoring, deployment.
• Knowledge of information retrieval, embeddings, and re-ranking.
• Familiarity with knowledge graphs, graph inference and RAG approaches.
• Experience with recommender systems and user modelling.
• Proven ability to translate business problems into scoped AI bets.

Responsibilities

• Design and build generative AI applications tailored to complex financial and legal workflows.
• Drive end-to-end model development lifecycle and ensure reproducible research and delivery.
• Collaborate cross-functionally to share ideas and elevate teammates.
• Translate complex problems into well-defined bets in a fast-paced internal startup style environment.
• Learn and apply cutting-edge research, iterating with a fail-fast mentality.
• Lead adoption of AI across the company by sharing compelling ideas with the team.

Skills

Python production

Information Retrieval

Entity extraction

Knowledge Graphs

Recommendation systems

Tabular ML

Statistical modelling

GenAI landscape

Model lifecycle

Product focus

AWS AI infrastructure

Tools

AWS AI infrastructure

Job description

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 OpportunityThe 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 YouThis 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, graphRAG

• 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 GenAI 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.

BenefitsWe’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.