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Cambridge Consultants

End-to-end deep-tech consultancy and development.

Principal AI & Algorithms Engineer - Defence & Security

Applied Machine LearningUpdated on Oct 31
Full-timeUnited KingdomNo salary listed

About the Job

Requirements

  • At least 5 years of experience designing and delivering algorithms for intelligent systems, including work on defence or security projects.
  • Technical skills in one or more of transformer models, diffusion models, reinforcement learning, machine vision, and perception.
  • A strong undergraduate degree in a relevant technical subject, such as AI/machine learning, computer science, mathematics, or physics.
  • Strong Python skills and software engineering judgement.
  • Ability to architect the technical approach on complex projects and review others' work, including working autonomously as the technical authority.
  • Experience mentoring and developing engineers.
  • Experience working with non-technical stakeholders.
  • Interest in working directly with clients and contributing to proposals and sales conversations.
  • Genuine affinity for working in the defence and security sector.
  • Ability to work in the UK without restrictions under UK National Law and willingness to undertake appropriate UK National Security Vetting. Applicants for SC clearance typically need five years of continuous UK residence immediately before applying.

Responsibilities

  • Apply data-driven software development in machine learning and artificial intelligence, applied statistics, and sensor processing, alongside mathematical computing techniques such as digital signal processing, simulation, and numerical optimisation.
  • Act as technical lead and architect on larger, more complex projects, owning the technical solution and the value it delivers to the client.
  • Set technical direction and act as technical reviewer across the department.
  • Lead development of proposals and costed work programmes, translating client problems into work the company can win and deliver.
  • Drive internal capability and demonstrators that maintain technical leadership and open new conversations with clients.
  • Mentor engineers and conduct technical interviews to help recruit and grow staff.
  • Contribute to department operations by improving processes and technical standards.
  • Work with clients and multidisciplinary teams, using company laboratories and computing resources to deliver projects.

Desired Qualifications

  • A PhD in a relevant subject.
  • Technical experience with signal processing, edge computing, statistical modelling, numerical optimisation, or simulation.
  • A track record of building client relationships and leading the technical side of sales campaigns and proposals.

About the Company

Cambridge Consultants

End-to-end deep-tech consultancy and development.

Cambridge Consultants creates deep-tech solutions by combining advisory services with in-house technology development. It helps clients in healthcare, industrial, consumer, and energy sectors move from ideas to market-ready products through end-to-end work that covers concept, design, prototyping, testing, and licensing of technologies. The company’s offerings rely on interdisciplinary expertise—especially AI, digital health, and sustainable tech—to deliver practical, deployable results. Compared with competitors, Cambridge Consultants distinguishes itself by integrating strategy and engineering under one roof, pursuing longer-term partnerships and licensing its own intellectual property to help clients scale. Its goal is to solve complex problems for organizations by turning cutting-edge ideas into real-world, commercially viable solutions.

Company size
501-1,000
Company stage
Grant
Total funding
$9.3M
Headquarters
Cambridge, United Kingdom
Founded
1960

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