Research & Technology Lead

Thales
Templecombe
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Head of Data Science and Architecture

InTent Internship Programme 2025 (#IIP): Paid Summer Placement/Internship for Undergraduate’s (Bachelor’s) or Graduate’s (Master’s) Students in Agricultural Sciences, Environmental Sciences, Data Science (3months) at University of

Lead Quant Strategist Artificial Intelligence (AI) Research Engineer

Research Scientist, Machine Learning (PhD)

Data Scientist II

Location: Templecombe, United Kingdom Thales people architect solutions that are relied upon to deliver operational advantage at every decisive moment throughout the mission. Defence and armed forces customers rely on us to deliver the full range of defensive systems for land, sea, and air. From early warning, to threat neutralisation, our platforms cover all levels from very short-range systems, to extended protection across the entire battle-space including Airspace Mobility Solutions, Vehicles and Tactical Systems and Missile Defence, Optronics, and Radar. Together we offer fantastic opportunities for committed employees to learn and develop their career with us. At Thales UK, we research, develop, and supply technology and services that impact the lives of millions of people each day to make life better, and keep us safer. We innovate across the major industries of Aerospace, Defence, Security and Space. Your health and well-being matters to us and that's why we offer you the flexibility to do what's important to you; whether that's part time hours, job sharing, home working, or the ability to flex your start and finish times. Where possible, we support a working pattern that suits your lifestyle and helps you reach your ambitions. Research & Technology Lead The Research & Technology (R&T) Lead will be working within our world class Digital C4I (Command, Control, Computers, Communication and Intelligence) team, leading the delivery of a portfolio of Customer-Funded and Self-Funded R&T activities. They will also support the definition and maintenance of the Digital C4I R&T Strategy and Roadmaps. The role will require a mix of work package and engineering management, leadership of a small agile team of developers, as well as technical leadership of some aspects of the work. The primary aim of the R&T work is to accelerate our Technology Readiness Level 4 to 6 activities towards making a positive impact for our customers. This will include application of diverse and novel technologies, such as: artificial intelligence, machine learning, automation, data fusion, human autonomy teaming, human computer interaction, advanced communications, networking and cyber security. The key roles and responsibilities include: Manage preparation and delivery of Digital C4I Customer Funded R&T bids and proposals. Manage delivery of multiple Digital C4I Customer-Funded and Self-Funded R&T projects. This may include managing deliveries from internal and external partners. Report on and brief senior stakeholders on the status of the Digital C4I R&T portfolio, including both technical and project management aspects. Lead an agile team of software and systems engineers to deliver Digital C4I R&T projects. Update, maintain and ensure compliance with the Digital C4I R&T Engineering Management Plan Technically lead some aspects of the work, particularly in the Tactical Command and Control (C2) innovation area. Support the Digital C4I Chief Technologist in the definition and maintenance of the Digital C4I R&T Strategy and Roadmaps and actively aligning the associated action plans with our counterparts elsewhere in Thales. Drive a programme of continuous improvement for Digital C4I R&T Delivery, and help to embed these more widely across Thales, as appropriate. About You You may have worked for, or with, a variety of military and civilian organisations, including NATO, UK MOD, Dstl, DASA, ARIA, Horizon Europe, UKRI, Innovate UK, Research Councils, Royal Academies/Societies, central/devolved government departments and Local Enterprise Partnerships. Experience of writing grant-funding bids, or coordinating collaborative projects will be particularly useful You may never have worked inside Defence before You may have experience with wider innovation management activities in other sectors, handling aspects of invention and intellectual property. You may have relevant software development experience, including in Agile software engineering management, or specific competence as a Scrum Master. About Digital C4I inside IAS In an increasingly unpredictable world, how we deploy AI across human-machine teams will be key to decision superiority in the current and the next-generation's battlespace. We are in the middle of a revolution in the Maritime, and more specifically, the Underwater Battlespace. While new technologies like AI are unlocking previously out of reach concepts, technology alone is not the answer. We must look at ways in which technologies can be optimised for the use by the operator. Our operators are dealing with more data. Our command teams must manage more assets and capabilities - but also face deliberate efforts to erode trust, to develop uncertainty and to disrupt our data, information and knowledge. The operational risks mean making decisions in less time with higher operational tempos. Thales is a key player in trusted, cyber-secure, transparent, explainable, and ethical AI, serving the armed forces, aircraft manufacturers, and critical infrastructure operators. The Group employs over 600 engineers specializing in AI, and around 100 PhD students are conducting their research in this field. In this role, you will help to research and develop key capabilities that can be inserted into Thales UK's C4I products: ACE and MD MSS. ACE (Agile C4I at the Edge) is a lightweight C4I system for use at the forward edge of the battlefield specifically focused on hard kill effects. It supports the higher-tempo operations of the future and incorporates AI to reduce operator overload through machine speed automation. MD MSS (Multi-Domain Mission Support System) is a C4I Mission Support System for the support of military operations. MD MSS provides a secure and dynamic information management hub enabling user collaboration and interoperability. LI-CA1 In 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. At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Thales UK is committed to providing an inclusive and barrier-free recruitment process. We will provide reasonable adjustments and support to ensure neuro-diverse applicants or those with a disability or long-term condition can be their best during the recruitment process. To request an adjustment, if you need this job advert in an alternative format or if you have any questions about the recruitment process, please contact Resourcing Ops for mid to senior roles, or the Early Careers Team for graduate and apprentice roles. Great journeys start here, apply now

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.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.