Anson McCade
Senior AI Technologist

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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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
Experience fit
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.
Only hits
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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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