National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Science and Machine Learning Manager

Campion Pickworth
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Principal Product Manager - Data Science & Machine Learning

Principal Product Manager – Data Science & Machine Learning

Data Science Manager - Tax Technology and Transformation

Data Science Manager - Tax Technology and Transformation

Data Science Manager - Tax Technology and Transformation

Data Science Manager

Are you a focused, aspirational, and collaborative data science professional looking to take the next step in your career? We’re growing our team and seeking aData Science and Machine Learning Managerto lead the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment.

This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions.

What You’ll Do

  • Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions.
  • Use technologies such asPython, R, Azure, Databricks, SQL, Power BI, and Tableauto deliver actionable insights from complex data.
  • Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence.
  • Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions.
  • Manage multiple projects from inception to deployment within cloud-based environments.
  • Maintain high standards in code review, documentation, and delivery in a DevOps context.
  • Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models.

What We’re Looking For

Essential Skills and Experience:

  • Proven ability to solve complex, real-world problems through data science and analytics.
  • Experience coaching and reviewing work of junior team members.
  • Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics.
  • Deep knowledge of machine learning methods and their practical application.
  • Experience managing multiple end-to-end data science projects across varied data types.
  • Familiarity with DevOps practices and tools like Git.
  • Cloud experience (e.g. Azure, AWS) and working with ML platforms and services.
  • Strong communication skills, capable of explaining complex topics to non-technical stakeholders.
  • Ability to align data science efforts with broader business objectives.

Desirable Skills:

  • Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs).
  • Familiarity with Generative AI and prompt engineering.
  • Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes.
  • Exposure to Agile development environments and software engineering best practices.
  • Experience working in large or complex organisations or regulated industries.
  • Strong working knowledge of Excel, SQL, Power BI, and Tableau.

Why Join Us?

  • Work in a fast-growth, innovation-driven environment.
  • Be part of a diverse and inclusive team where your contributions are valued.
  • Tackle meaningful challenges with real-world impact.
  • Access continuous professional development and technical learning opportunities.

Ready to connect to your next opportunity? Apply today and take your career to the next level.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.