Lead AI Engineer

Burns Sheehan; City Of London; Hybrid; GBP 120,000 - 140,000; Full time

Job summary

A leading technology firm in London is seeking a Lead AI Engineer to drive the development of large-scale machine learning systems. You will manage AI engineers, set technical standards, and work with cutting-edge technologies. Candidates should have strong Python and SQL skills, experience in NLP and ML frameworks, and a passion for innovation. Attractive salary and growth opportunities offered.

Benefits

Equity options

25 days holiday + bank

Pension matched to 7%

Work abroad for up to 3 months

Qualifications

• Strong Python and SQL programming skills essential.
• Hands-on experience in NLP, LLM, recommendation systems required.
• Familiarity with ML framework architecture and implementation.

Responsibilities

• Drive end-to-end model development lifecycle.
• Collaborate cross-functionally to elevate teammates.
• Translate complex problems into scoped tasks.

Skills

Strong Python

SQL

Hands-on experience with NLP

Experience with machine learning frameworks

Good knowledge of AWS ML infrastructure

Tools

PyTorch

scikit-learn

Job description

Lead AI Engineer

• £120,000-£140,000
• London office with expectation to be seen in person at least once a fortnight ideally. If LDN based 2 days a week on site with wider team.
• Equity options
• 25 days holiday + bank
• Pension matched to 7%
• Work abroad for up to 3 months

Are you looking to be part of a world-class data lead organisation who are continuously moving forward 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. This person will be a senior engineer who will help both define and build the companies. In the role you will be building large scale machine learning systems, apply the latest techniques whilst working with an elite team of researchers and engineers.

We are looking for a Lead AI Engineer who will be responsible for line-managing AI engineers; setting technical direction and standards; coordinating delivery across retrieval and GenAI streams; "plug-and-play". This person will be a leader with prior people management in AI.

No day will be the same, you will get to work on

• Driving end to 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 start-up style environment, dynamic and fast-paced.
• Learn and apply ground-breaking research and approaches in advanced topics, iterating improvements with fail fast mentality.
• Be a proactive sharer of compelling ideas/work to the rest of the team and organisation.

What do you need?

• Not necessarily the title, we know in the world of AI Engineering you may come from a background of software engineering or machine learning although what is key is that you will be deeply involved with productionising and deploying.
• Strong Python, SQL and programming skills
• Hands on experience working within areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems).
• Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn).
• Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment).
• Good knowledge of AWS's machine learning infrastructure.

Again this is a superb opportunity to join a business that truly value innovation and there will be lots of opportunity for future growth and development within this team.

If interested please send any questions to [e-mail]

Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.