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

Apply Now

Head of Artificial Intelligence

Osmii
London
10 months ago
Applications closed

Related Jobs

View all jobs

Head of data engineering - remote

Resilience Data Analyst

Lead Full-stack Data Scientist

Senior Machine Learning Engineer

Commercial Sales & Pricing Data Analyst - Global Leader

Data Analyst - Asset Management

Head of Artificial Intelligence

London

Permanent

Are you a visionary leader with a passion for artificial intelligence and machine learning? We are seeking an experienced Head of Artificial Intelligence to lead AI/ML strategies for a groundbreaking robotics project. You will play a key role in driving the development and deployment of advanced AI algorithms for functions such as perception, decision-making, autonomous control, and navigation. The ideal candidate has expertise in areas like embodied AI, natural language processing, SLAM, computer vision, emotion and object recognition, and world model architectures.


Key Responsibilities:

  • Lead the design, development, and optimization of AI/ML algorithms, focusing on perception, decision-making, control, and autonomous navigation.
  • Develop and execute a comprehensive AI/ML strategy and roadmap, keeping the team ahead of industry trends.
  • Build robust data pipelines to support end-to-end AI/ML workflows, including data collection, processing, training, and deployment.
  • Oversee the integration of AI/ML capabilities into the robotics platform, ensuring collaboration across interdisciplinary teams for seamless functionality.
  • Continuously evaluate and optimize AI/ML system performance in real-world applications.
  • Cultivate a culture of innovation and continuous learning within the AI/ML team, keeping abreast of the latest technologies and methodologies.


Required Expertise:

  • Deep understanding of AI/ML technologies, frameworks, and best practices, with a track record of leading successful projects.
  • Experience deploying AI/ML solutions in real-world scenarios, ideally in robotics, automation, or autonomous systems.
  • Strong technical background in computer science, mathematics, or a related field, with expertise in machine learning, deep learning, computer vision, natural language processing, and world model architectures.
  • Proven leadership abilities to guide teams towards ambitious goals and deliver outstanding results.
  • Excellent communication skills, capable of conveying complex technical concepts to various audiences.
  • Strategic thinking with strong problem-solving skills, able to make data-driven decisions.
  • Commitment to continuous learning and staying updated on advancements in AI/ML.

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

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.