Robotics & Machine Learning Engineer

JR United Kingdom; City Of London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading firm in space technology seeks a Machine Learning Engineer specializing in robotic manipulation. Join an innovative team at the forefront of autonomous robotics, designing real-time models for critical applications in space environments, and contribute to groundbreaking projects coupling ML with robotics.

Qualifications

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

Responsibilities

• Design and train models for real-time grasp prediction.
• Build high-fidelity simulators for training.
• Collaborate with teams to implement models.

Skills

Machine Learning

Robotics

Reinforcement Learning

Python

C++

Communication

Collaboration

Tools

PyTorch

TensorFlow

Linux

Git

Docker

Job description

Social network you want to login/join with:

Robotics & Machine Learning Engineer, london (city of london)

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Client:

Opus Recruitment Solutions

Location:

london (city of london), United Kingdom

Job Category:

Other

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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.