Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Head of AI & Data Science

KDR Talent Solutions
Leeds
8 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist & Machine Learning Researcher

Principal Data Scientist & Machine Learning Researcher

Machine Learning Engineer/Researcher - 2025 Programme

Machine Learning Engineer/Researcher - 2026 Graduate Programme

Head of Data Science & AI Strategy

Head Of Data Science

Head of Data Science & AI – Hybrid (Adhoc travel to London) - £100,000-£125,000 + Car Allowance + Bonus + Package


We’re proud to be partnered with our client, a global innovation and transformation consultancy, who are seeking aHead of Data Science & AIto help shape and deliver cutting-edge AI solutions across private and public sectors clients.


About the Role

As the Head of Data Science & AI, you will sit at the intersection of business strategy and advanced technology, helping clients navigate the complexities of AI adoption. You will identify high-impact AI use cases, design comprehensive implementation roadmaps, and oversee large-scale transformation programs that align with business objectives.


You’ll work across industries and functions, collaborating with a diverse team of strategists, technologists, and consultants to deliver meaningful results. This role offers the chance to influence C-suite decision-makers, lead multidisciplinary teams, and drive the future of AI innovation for organisations worldwide.


What You’ll Be Doing

  • Strategic AI Consulting:Collaborate with client stakeholders to assess business challenges, identify AI opportunities, and define tailored roadmaps.
  • Use Case Prioritisation:Discover impactful AI applications, estimate ROI, and prioritize initiatives based on feasibility and value.
  • End-to-End Oversight:Lead the implementation of AI solutions into business processes, ensuring alignment with strategic goals.
  • Performance Measurement:Develop frameworks to track the success of AI projects and their business impact.
  • Team Leadership:Guide and mentor cross-functional teams, including data engineers, software developers, agile coaches, and AI experts.
  • Business Development:Partner with leadership to foster new client relationships and drive opportunities for groundbreaking AI projects.
  • Thought Leadership:Stay at the forefront of AI trends and technologies, sharing insights and identifying opportunities for clients to innovate.


What We’re Looking For

  • 8+ years of experience in technology and strategy roles, ideally within consulting, blue-chip companies, or startups.
  • At least 2 years of managerial experience in top-tier strategy consulting or senior IT consulting roles.
  • A strong strategic mindset combined with a passion for technology and innovation.
  • Excellent analytical and communication skills, with the ability to engage senior stakeholders.
  • Flexibility and willingness to travel as required.


Why Join?

Our client values ingenuity and collaboration, creating opportunities from complexity. With over 4,000 specialists globally, their diverse teams deliver transformative results across consumer and manufacturing, defence and security, energy and utilities, financial services, healthcare, and more.

You will receive industry-leading training, mentorship, and career development opportunities, working on exciting projects that are shaping the future of AI. With a flexible hybrid working model, they prioritize both professional growth and work-life balance.


Interested?

If you are a forward-thinking AI strategist who thrives at the intersection of business and technology, we’d love to hear from you. Don’t worry if you don’t tick every box; we encourage brilliant candidates to apply.


Apply now through KDR Recruitment to take the next step in your career.

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.