Robotics & Machine Learning Engineer

JR United Kingdom; London; Hybrid; GBP 55,000 - 85,000; Full time

Job summary

Join a cutting-edge innovator in autonomous robotics as a Machine Learning Engineer focusing on robotic manipulation. This opportunity lets you shape the future of space technology by designing intelligent systems that handle unpredictable environments. Ideal candidates should have extensive experience in machine learning, robotics, and a proficiency in relevant programming languages.

Qualifications

• 5+ years in ML, Robotics, or Reinforcement Learning.
• Deep understanding of robot manipulation techniques.
• Proficiency in Python & C++.

Responsibilities

• Design and train models for real-time grasp prediction.
• Deploy models for real-time inference.
• Collaborate across teams to bring models to life.

Skills

Machine Learning

Robotics

Reinforcement Learning

Python

C++

Collaboration

Communication

Tools

PyTorch

TensorFlow

Linux

Git

Docker

Job description

Social network you want to login/join with:

Robotics & Machine Learning Engineer, london

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Client:

Opus Recruitment Solutions

Location:

london, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

4

Posted:

26.06.2025

Expiry Date:

10.08.2025

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Job Description:

? Machine Learning Engineer – Robotic Manipulation | Cutting-Edge Space Tech | Equity Opportunity ?

Location: Hybrid (UK-based)

Join a stealth-mode innovator at the forefront of autonomous robotics, building next-gen systems that operate in the most extreme environments—space. This is your chance to shape the future of orbital infrastructure and space domain defence.

We're on the hunt for a Machine Learning Engineer with a passion for robotic manipulation. You’ll be the mastermind behind intelligent grasping systems—designing, training, and deploying ML models that enable robots to interact with unknown objects in unpredictable environments.

This isn’t just another ML role. It’s a chance to take your work from simulation to spaceflight. ??️

? What You’ll Be Doing

• Design and train models for real-time grasp prediction and evaluation.
• Build high-fidelity simulators to train and test your policies.
• Deploy models to edge compute platforms for real-time inference.
• Collaborate across robotics, vision, hardware, and software teams to bring your models to life.
• Own performance benchmarking and real-world validation.

? What You Bring

• 5+ years in ML, Robotics, or Reinforcement Learning (or equivalent hands-on experience).
• Deep understanding of robot manipulation—both classical and ML-based approaches.
• Proficiency in Python & C++, and experience with ML frameworks like PyTorch or TensorFlow.
• Strong grasp of real-world robotic constraints and embedded systems.
• Excellent communication and a collaborative mindset.

? Bonus Points For

• Experience deploying robotic systems in real-world environments.
• Knowledge of 6-DOF pose estimation, tactile feedback, or real-time control.
• Comfort with Linux, Git, Docker, and real-time systems.