Artificial Intelligence Engineer

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This range is provided by Burns Sheehan. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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• UK remote with London office with expectation to be seen in person at least once a month.
• Equity options
• 25 days holiday + bank holidays
• Pension matched to 7%
• Work abroad for up to 3 months

Are you looking to be part of a world-class data-led organisation that is continuously advancing with the latest AI trends?

This company is a true innovator in building data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. The role involves being a senior engineer who will help define and build the company's AI systems. You will be building large-scale machine learning systems, applying the latest techniques while working with an elite team of researchers and engineers.

No day will be the same; you will get to work on:

• Driving the entire model development lifecycle, leading the team in best practices, ensuring reproducible research, and managing model delivery and deployment.
• Collaborating cross-functionally to share ideas, understand business problems, and mentor teammates.
• Translating complex problems into well-defined projects in a dynamic, startup-style environment.
• Learning and applying ground-breaking research and approaches, iterating with a fail-fast mentality.
• Sharing compelling ideas and work proactively with the team and organisation.

What do you need?

• While titles may vary, experience in data science, engineering, or machine learning with a focus on productionising and deploying AI models is key.
• Strong Python, SQL, and programming skills.
• Hands-on experience with NLP, LLMs, recommendation systems, Information Retrieval stacks, or GenAI (especially RAG systems).
• Familiarity with ML frameworks like PyTorch and scikit-learn.
• Experience across the full model lifecycle: experimentation, training, testing, monitoring, deployment.
• Good knowledge of AWS’s machine learning infrastructure.

This is a superb opportunity to join a business that values innovation, with plenty of room for growth and development within the team.

If interested, please send questions to

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering, Information Technology, and Other

Industries

• Staffing and Recruiting, Technology, Information and Media, Financial Services

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