Skip to main content
Posted 01 August, 2026

Senior AI Technologist

Anson Mccade
Basildon, ENG, GB Full Time

Job Description

Job Title: Senior Technologist / Lead Technologist Artificial Intelligence R&D

\n

Location: Great Baddow (Hybrid: 23 days onsite)

\n

Salary: Competitive

Role Overview\n

We are seeking a Lead Technologist to join a rapidly expanding Data and Decision Support Capability team. This role focuses on cutting-edge research and development across various AI domains, including reinforcement learning, NLP/LLMs, knowledge graphs, computer vision, and advanced sensor processing (radar, sonar, acoustics, and RF).

Typical Responsibilities\n
    \n
  • \n

    Technical Leadership: Lead the technical delivery of large-scale AI projects. Oversee and assure the preparation of technical reports, proposals, and supporting materials.

  • \n
  • \n

    Research & Innovation: Identify novel research areas with the potential for academic partnerships or cross-organizational collaboration. Direct research activities in key strategic areas.

  • \n
  • \n

    Communication: Effectively present research topics to both technical and non-technical internal audiences, as well as external customers.

  • \n
  • \n

    Mentoring: Undertake technical mentoring and development of junior engineering and research staff.

  • \n
  • \n

    Engineering Assurance: Provide engineering assurance on bids, publications, and project deliverables, leveraging deep expertise to improve overall output quality.

  • \n
Technical Domain Focus\n

Candidates should ideally possess expertise or interest in one or more of the following domains:

\n
    \n
  • \n

    AI/ML for imagery and remote sensing applications

  • \n
  • \n

    Reinforcement learning

  • \n
  • \n

    Natural Language Processing (NLP) & Large Language Models (LLMs)

  • \n
  • \n

    Knowledge graphs and graph-based neural networks

  • \n
  • \n

    AI/ML applied to RF, Electronic Warfare (EW), radar, sonar, or acoustics

  • \n
  • \n

    Autonomous systems

  • \n
Requirements & QualificationsEssential\n
    \n
  • \n

    Education: PhD in a relevant quantitative or technical discipline.

  • \n
  • \n

    Experience: Circa 10+ years of demonstrable experience in an AI/ML role within industry or academia (ideally with exposure to the defense or security sectors).

  • \n
  • \n

    Leadership: Proven track record of leading R&D teams.

  • \n
  • \n

    Assurance & Proposals: Direct experience undertaking Engineering Assurance activities and writing technical proposals.

  • \n
Desirable\n
    \n
  • \n

    Publications: Evidence of peer-reviewed publications in relevant scientific journals and conferences is highly advantageous.

  • \n
Security & Compliance Note\n

Due to the nature of the projects, many roles within this sector are subject to security and export control restrictions.

\n
    \n
  • \n

    Applicants must, at a minimum, achieve standard baseline security clearance.

  • \n
  • \n

    Higher levels of national security vetting may require a continuous residency period (typically 5 to 10 years) in the host country.

  • \n
\n
\n

JBRP1_UKTJ