Machine Learning Engineer

Machine Learning Engineer focuses on ml engineer to help develop the machine learning systems powering the next generation of intelligent robotics.

What the role involves

• ML Engineer to help develop the machine learning systems powering the next generation of intelligent robotics.
• Working at the intersection of computer vision, robotics, and AI, they will develop deep learning systems that allow robots to perceive environments, understand scenes.
• Fine tuning models, optimising inference performance, improving system reliability, and ensuring models can operate effectively in real time robotics applications.
• Beyond technical delivery, the company is looking for someone who values strong engineering fundamentals and understands how to build production ready ML systems rather than isolat.
• Build intelligent systems that directly power physical robotics platforms, this is an opportunity to make a tangible impact in a rapidly growing space.

Skills and requirements

• A PhD in Machine Learning, Robotics, Computer Vision, or a related field, or 2 to 5+ years of relevant industry experience.
• Strong Python programming skills, with C++ experience considered highly beneficial.
• Experience building scalable ML systems for production environments.
• Experience designing evaluation, testing, and benchmarking frameworks.

Candidate fit

• technical judgement, safe working habits, careful diagnostics, and practical problem-solving

Additional role context

• As the business continues to grow, they are now looking for an Applied Scientist.
• Play a critical role in designing, training, deploying, and optimising machine learning models used within advanced robotics applications.
• Operate with greater reliability and precision.