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

Apply Now

Head of AI Autonomy - Principal Architect

London
5 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Lead Data Scientist

Staff Data Scientist

Senior Data Scientist

Staff Data Scientist

Data Scientist

We are seeking an exceptional Principal Engineer with expertise in Robotics, Perception, Navigation, and Planning, specializing in hands-on integration of these systems with VLA/VLM/LLM and Knowledge Bases to achieve true Robot Autonomy. This position involves pioneering the adoption and development of recent AI and Robotics innovations and a full-stack range of responsibilities from writing code and model training to strategic company-level decisions.

Responsibilities

Establish, conduct, and own the adoption of recent advancements in AI/ML and robotics.
Deliver true Robot Autonomy by integrating capabilities provided by Reasoning, Navigation and Perception teams.
Initiate and drive strategic level partnerships with different robotics companies and universities to enrich our Robot capabilities.
Own the long-term vision for End-to-End Autonomous Self-Aware Robotic systems.
Drive information flow and infrastructure design and integration across multiple teams.Expertise

MS or PhD in Robotics, Computer Science, or a related field.
Proven track record of publications and projects in the field of AI and Robotics.
Proficiency in Robotic Autonomy and VLA/VLM/LLM/RT-X type solutions or alternatives for Robotic World Modelling.
Recent hands-on experience with Python, cloud platforms, DBs, and ML.
Demonstrated ability to conduct research and develop new solutions inside and outside a Simulated Environment.
Solid CS background in data structures, algorithms, system design, deep learning, probability theory.
Comprehensive knowledge of Robotic Navigation, Perception, and Reasoning capabilities throughout the industry.Preferred Qualifications:

Advanced skills in Semantic Mapping, Knowledge Bases, SLAM.
Passion for AI-driven innovation and problem-solving in complex systems.
Expertise in strategic decision-making.
A thoughtful approach combined with excellent collaboration and interpersonal skills.
Strong background in diverse academic fields.Benefits

High competitive salary + stock options.
23 calendar days of vacation per year.
Flexible working hours.
Opportunity to work on the latest technologies in AI, Robotics, Blockchain and others.
Startup model, offering a dynamic and innovative work environment.
Proactive Global is committed to equality in the workplace and is an equal opportunity employer.
Proactive Global is acting as an Employment Business in relation to this vacancy

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.

Jobs

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.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.