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

Apply Now

Head of AI Engineering

Opus Recruitment Solutions
London
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist (AI & ML)

Head of Data Science – Research & Development

Data Scientist (AI & ML)

Data Engineering and Operations Lead

Research Data Scientist

Senior Data Scientist (Europe-based, 9 months initial contract)

Exciting Opportunity: Head of AI Engineering


Location:London, UK (Hybrid)

Salary:£120,000 - £150,000


Are you an AI visionary ready to drive transformative change in the financial compliance landscape? Our client, a top-tier regulatory tech firm renowned for its innovative solutions and excellence, seeks a dynamic and experienced Head of AI Engineering. This role offers a unique opportunity to lead cutting-edge AI projects and shape the future of compliance for some of the world's largest financial institutions.


Your Responsibilities:

  • Collaborate with cross-functional teams to conceptualise and implement pioneering AI features, utilizing NLP, computer vision, and graph machine learning.
  • Lead AI projects from ideation to production, guaranteeing robust, high-quality outcomes.
  • Balance the demands of research and practical execution within AI/ML teams.
  • Develop and execute a comprehensive data strategy, integrating various data sources to support essential processes such as annotation, model training, and real-time data access.
  • Maximise efficiency by leveraging both external and internal AI models.
  • Foster a high-performance culture within geographically diverse teams, ensuring excellence and team cohesion.
  • Enhance the company’s profile by representing it at industry events and conferences.

What You'll Bring:

  • Advanced degree in Computer Science, Machine Learning, Engineering, or a related field.
  • Extensive experience as an AI Engineering leader, adept at managing multiple teams and complex projects.
  • Deep expertise in machine learning solutions, with a solid grounding in deep learning, LLM, and NLP, especially with unstructured data.
  • Proficiency in Python and key libraries (PyTorch, NumPy, etc.).
  • Strong software development background and experience with cloud platforms (preferably Azure and GCP).
  • Outstanding project management skills, with a knack for Agile methodologies.
  • Exceptional communication, problem-solving, and leadership abilities.
  • Proven track record of leading teams across different time zones and speaking at industry forums.

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.