Senior AI Engineer

Location

London

Employment Type

Full time

Department

Data & AI

The Opportunity

The Data Science team is growing at [Employer hidden]! 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 Senior 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 [Employer hidden].

About You

This role will be a great fit if you:

• Strong proficiency in Python for production ready delivery.
• Deep understanding of the GenAI landscape and agentic frameworks.
• Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs.
• Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). We are data centric and love our evals!
• 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)
• Equity
• Pension (your minimum contributions are 4% with [Employer hidden] 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

[Employer hidden] is an equal opportunities employer

At [Employer hidden] 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.