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

Apply Now

Lawrence Harvey | Manipulation Lead - Robotics

Lawrence Harvey
London
10 months ago
Applications closed

Job Description

Manipulation Lead

Are you passionate about pushing the boundaries of robotics and AI?

A cutting-edge robotics start-up is pushing the limits of AI and automation, and we need your expertise to help power the future of robotics and Im searching for a Manipulation Lead to join their growing team.

What Youll Do:

  • Define and steer research initiatives in manipulation aligned with real-world impact, leading from the front
  • Mentor and inspire the next generation of AI/ML innovators.
  • Collaborate across teams to transform research into cutting-edge solutions.
  • Stay ahead of trends in AI/ML, manipulation, perception and robotics to shape our strategy.
  • Drive IP generation through and represent us on global stages, building partnerships that matter.
  • Contribute to grant and funding proposals to secure external sponsorships.

What Were Looking For:

  • Ph.D. (or equivalent experience) in AI, ML, robotics, or related fields.
  • Expertise in manipulation, reinforcement learning, motion planning, and perception.
  • A track record of conducting research and publishing in top-tier AI/ML conferences and journals.
  • Proficiency in Python, C++, or MATLAB with experience in AI/ML libraries.
  • Creativity, curiosity, and a drive to solve real-world robotics challenges.
  • Knowledge of Open-Knowledge Models for Robotics is desirable.
  • Familiarity with Vision-Language Action (VLA) networks and Language Models (LLMs) to enhance robot perception and interaction capabilities.

Offices based in London - hybrid working.

Relocation opportunities available.

Competitive salary + equity + benefits.

Join this team as they redefine the future of work, building robots that not only fill critical labour gaps but also unlock human potential in ways we never thought possible.

If youre a top-tier engineer excited by the prospect of driving AI innovation in a dynamic, fast-paced environment, we want to hear from you.

Lawrence Harvey is acting as an Employment Business in regards to this position.

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.

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.

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.