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Anson McCade

Senior AI Technologist

Chelmsford
Posted about 7 hours ago
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Job Title: Senior Technologist / Lead Technologist Artificial Intelligence R&D

Location: Great Baddow (Hybrid: 23 days onsite)
Salary: Competitive

Role Overview

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

  • Technical Leadership: Lead the technical delivery of large-scale AI projects. Oversee and assure the preparation of technical reports, proposals, and supporting materials.
  • Research & Innovation: Identify novel research areas with the potential for academic partnerships or cross-organizational collaboration. Direct research activities in key strategic areas.
  • Communication: Effectively present research topics to both technical and non-technical internal audiences, as well as external customers.
  • Mentoring: Undertake technical mentoring and development of junior engineering and research staff.
  • Engineering Assurance: Provide engineering assurance on bids, publications, and project deliverables, leveraging deep expertise to improve overall output quality.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Technical Domain Focus

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

  • AI/ML for imagery and remote sensing applications
  • Reinforcement learning
  • Natural Language Processing (NLP) & Large Language Models (LLMs)
  • Knowledge graphs and graph-based neural networks
  • AI/ML applied to RF, Electronic Warfare (EW), radar, sonar, or acoustics
  • Autonomous systems

Requirements & Qualifications

Essential

  • Education: PhD in a relevant quantitative or technical discipline.
  • 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).
  • Leadership: Proven track record of leading R&D teams.
  • Assurance & Proposals: Direct experience undertaking Engineering Assurance activities and writing technical proposals.

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Desirable

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

Security & Compliance Note

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

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

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

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Skills

AI/ML for Imagery and Remote Sensing Applications
Reinforcement Learning
Natural Language Processing
Large Language Models
Knowledge Graphs
Graph-Based Neural Networks
RF
Electronic Warfare
Radar
Sonar
Acoustics
Autonomous Systems

Location

Chelmsford, England, United Kingdom

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