Thales | Head of Artificial Intelligence

Thales
Crawley
5 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Machine Learning Engineering Manager (Greater London)

Head of AIResponsibilities Strategic LeadershipBe the face of AI for Thales UKOversee the implementation of the cortAIx Factory AI and MLOPS strategyPractice lead across the Data & AI job family in Thales UKDesign & GovernanceServe as the principal authority on AI design, providing expert guidance on best practices and industry standards.Ensure the design of AI models, algorithms, and data architectures meets business, technical, and regulatory requirements.Establish and enforce governance frameworks for AI algorithms and implementation to production.Promote best practices in AI ethics, robustness, transparency, and governance.Market EngagementMonitor industry trends, market landscapes, and benchmarks to maintain a technical edge.Identify and engage third-party collaborators to enhance the capabilities of the AI Factory team as neededAI deliveryWork with Head of cortAIx Factory Engineering Delivery and Head of cortAIx Factory Product to enact the cortAIx missionWork with the Engineering management team in the UK to derive and deliver capability improvement plans for AILine management responsibility for Data Science and AI resources in the Data and Digital Centre (DCC)Work across DCC to support the planning and execution of our data and digital transformationRequired SkillsExperience of working in the UK Defence AI sectorA degree in computer science, artificial intelligence, or a related field. And / or appropriate hands-on experience of practical AI engineeringExtensive knowledge of Data Science and AI solutions, along with experience in data product managementDemonstrable knowledge and experience of MLOps practices.Familiarity with data analytics, technology, and governance.Excellent stakeholder and project management skills, with experience in client-facing roles.Strategic mindset with the ability to balance innovation with business needs.Experience in user interface design and user experience considerations.Understanding of the software development lifecycle, including requirements analysis, quality assurance, design, scheduling, implementation, issue tracking, version control, and deployment.Security RequirementsIn line with Thales' Baseline Security requirements, candidates will be asked to provide evidence of identity, eligibility to work in the UK and employment and/or education history for up to three years. Some vacancies may require full Security Clearance which can require further evidence to be provided. For further details of the evidence required to apply for Baseline and Security Clearance please refer to the Defence Business Services National Security Vetting (DBS NSV) Agency.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.