Machine Learning Engineer

We're working with an innovative Robotics and Autonomous Systems company that develops AI-driven technologies for intelligent machines operating in complex real-world environments. They are seeking a Machine Learning Engineer to build and deploy scalable ML solutions that power perception, navigation, decision-making, and autonomous behavior across advanced robotic platforms.

What You'll Be Doing

• Develop and deploy machine learning models for autonomous systems, including perception, object detection, tracking, localization, mapping, path planning, and sensor fusion
• Build scalable ML infrastructure and pipelines for training, evaluation, simulation, deployment, and monitoring of robotic AI systems
• Design data preprocessing and feature engineering workflows for multimodal datasets including camera, LiDAR, radar, IMU, GPS, and other sensor streams
• Develop intelligent perception and decision-making systems enabling robots and autonomous vehicles to operate safely in dynamic environments
• Work closely with robotics, software, and hardware teams to integrate ML models into real-time robotic platforms

What They're Looking For

• 2–6+ years of experience in Machine Learning Engineering, Robotics AI, Computer Vision, or related fields
• Strong proficiency in Python
• Hands-on experience with PyTorch, TensorFlow, JAX, or Scikit-learn
• Experience building, deploying, and maintaining ML systems in production
• Experience with computer vision, sensor fusion, robotics perception, reinforcement learning, SLAM, localization, or motion planning is highly desirable
• Familiarity with robotics frameworks such as ROS/ROS2
• Experience working with camera, LiDAR, radar, IMU, GPS, or other sensor data
• Experience with cloud infrastructure such as AWS, Azure, or GCP
• Passion for autonomous systems, robotics, intelligent machines, and real-world AI applications

What's on Offer

• Hybrid working model
• Opportunity to contribute to cutting-edge autonomous systems and robotics products deployed in real-world environments
• Collaborative environment with a strong focus on innovation, experimentation, and applied AI
• Competitive salary package depending on experience
• Company car or flexible mobility budget
• Additional leave days and comprehensive benefits package
• Clear progression path toward Senior ML Engineer, Robotics Engineer, Technical Lead, or AI Architect roles
• Opportunity to work on state-of-the-art technologies including computer vision, sensor fusion, robotics, reinforcement learning, and autonomous navigation

If this opportunity excites you, apply today or send your CV and a short cover letter to [email protected].