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Lead AI & Machine Learning Technologist

Anson McCade
Chelmsford
1 month ago
Applications closed

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Lead AI & Machine Learning Technologist
Location: Chelmsford | Hybrid (2 days onsite) | Salary up to £85,000 + 10% bonus | SC Clearable

A leading defence technology organisation is seeking a Lead AI & Machine Learning Technologist to join their expanding Data and Decision Support capability. This role offers the opportunity to lead complex AI research projects spanning reinforcement learning, NLP and large language models, knowledge graphs, and AI applications in radar, sonar, and remote sensing.

The Opportunity
The successful candidate will work within a 35-strong AI/ML team comprising approximately 25 scientists and 10 product engineers. This hands-on role involves leading technical delivery, providing engineering assurance on bids and publications, mentoring junior researchers, and influencing research direction. Collaboration with academic partners and internal stakeholders across government and commercial sectors will be key.

Key Responsibilities
• Lead delivery of complex AI research and development projects
• Provide engineering assurance on proposals, publications, and technical deliverables
• Mentor and guide junior team members
• Present technical outcomes to both technical and non-technical audiences
• Identify and propose novel research opportunities, fostering collaborations with academic and industry partners
• Contribute to high-profile research proposals (e.g., Dstl, EPSRC, NS)

About You
• PhD in a relevant field (AI, Machine Learning, Computer Science, Mathematics or related discipline)
• Around 10+ years’ experience in AI/ML research and development in industry or academia, preferably within the defence sector
• Proven leadership experience managing R&D teams of 5 or more
• Experienced in engineering assurance activities
• Strong track record in proposal writing for government and public sector funding bodies
• Expertise in one or more domains such as reinforcement learning, NLP/LLMs, knowledge graphs, AI for RF/EW, sonar, radar, or autonomy
• Evidence of published research is highly advantageous

Why Apply?
This is an exceptional chance to lead advanced AI research with real-world impact across defence and security domains. The role offers a collaborative and inclusive culture, hybrid working flexibility, and opportunities for professional growth alongside some of the brightest minds in the field.

For further information, feel free to reach me at , or simply apply!
Reference: AMC/RKI

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