Senior Data Scientist – Machine Learning -  Defence –Eligible for SC

Paddington
3 weeks ago
Create job alert

Senior Data Scientist – Machine Learning - Defence – Hybrid – Eligible for SC

I’m working with a leading Tech company that provide Machine Learning and Data Science expertise to the Defence sector, developing advanced analytics and AI solutions. They collect their own data for building and deploying cutting-edge Machine Learning technologies that enhance national security. They are in the process of building a new Data Science / AI team from the ground up and you'll have the opportunity to shape the technical direction and capabilities of their products. This will be a truly greenfield role where you get to build something from scratch. Experience of doing this previously will be highly valuable as will experience in the Defence sector.

The Role

As the successful Senior Data Scientist, you'll be part of a small team developing AI solutions for defence applications, working with unique datasets . This position offers the chance to apply machine learning in an environment with direct impact on real-world operations.

They provide intelligence data to support Defence operations so we need someone who is ethically aligned with their business mission.

Responsibilities

  • Apply data science techniques to defence challenges including Object Detection, Track Fusion, Graph Data / Clustering, Reinforcement Learning, and LLM/RAG deployment

  • Conduct ML research and lead operational deployment to build models from scratch

  • Mentor junior team members

  • Implement Data Science best practices

  • Stay current with emerging trends in AI, sensor technologies, and simulation techniques

    Requirements

  • PhD or an MSc in a quantitative field (Computer Science, Physics, Mathematics, or related STEM discipline)

  • AT least 3-4 years Data Science experience and proven skills in a Senior Data Scientist role.

  • Strong experience of at least one of the following and appreciation of the rest: Object Detection, Track Fusion, Graph Data / Clustering, Reinforcement Learning, and LLM/RAG deployment

  • Strong Python programming skills and proficiency with ML libraries

  • Familiarity with MLOps and Cloud platforms (Azure preferred – Azure Cloud Platform, Azure DevOps, Azure AI tools)

  • Security clearance (SC) essential or the ability to obtain it

  • Clear communication skills for technical and non-technical audiences

    What Sets Them Apart

  • Direct Data Access: They collect their own data, eliminating the data silo issues common in defence work

  • End-to-End Development: Build solutions from scratch and see them deployed in the real world

  • Practical Impact: Contribute to projects that enhance national security

  • Balanced Approach: Initially 80% operational work and 20% research, shifting toward more research as capabilities mature

  • Innovation Potential: Opportunity to develop ideas that could become standalone products

    Work Arrangement

  • Hybrid working (minimum one day per week in office)

  • Office locations in London, Oxford or Lincolnshire

  • Salary: £80,000 (based on experience) + bonus + benefits

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist, MAPLE - Recommender System

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist (Biostats Engineering)

Senior Data Scientist

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.

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.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.