Overview
This range is provided by Stott and May. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
£ Up to 90,000 + Benefits
Location: Great Baddow (Hybrid – 2 days onsite per week)
London Delivery Team Lead @ Stott and May
Lead Technologist – Artificial Intelligence & Machine Learning
Location: Great Baddow (Hybrid – 2 days onsite per week)
Salary: Up to £90,000 + Benefits
The Opportunity
A leading digital intelligence organisation is seeking a Lead Technologist to join their rapidly growing Data and Decision Support capability. This is an exciting opportunity to work at the forefront of Artificial Intelligence and Machine Learning (AI/ML), delivering impactful solutions across defence, security, space, and commercial sectors.
You’ll play a pivotal role in shaping and guiding innovative AI/ML projects while mentoring colleagues, engaging with customers, and driving forward research collaborations with academic and industry partners.
About the Role
You will be responsible for:
* Leading the technical delivery of large-scale AI projects.
* Preparing and assuring technical reports, proposals, and supporting material.
* Driving novel research and developing partnerships with universities and industry.
* Presenting research topics to both technical and non-technical audiences.
* Mentoring junior colleagues and providing technical assurance on bids and project outputs.
Key Requirements
* PhD in a relevant discipline with 10+ years’ demonstrable AI/ML experience in academia or industry (defence sector experience desirable).
* Proven track record of leading R&D teams (minimum of 5 developers).
* Strong background in engineering assurance and proposal writing (e.g., Dstl, NS, EPSRC).
* Expertise in at least one of the following areas, with broad knowledge across AI/ML:
* AI/ML for imagery (including remote sensing applications)
* Natural Language Processing (NLP) and Large Language Models (LLMs)
* Knowledge graphs and graph-based neural networks
* AI/ML for RF, EW, radar, sonar, or acoustics
* Autonomy
* Evidence of publication in relevant journals and conferences.
Why Join?
* Work on cutting-edge AI/ML projects with real-world impact.
* Hybrid working model (2 days onsite per week).
* Salary up to £90,000 + excellent benefits.
* Inclusive, collaborative culture with strong career development support.
Notes
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