Machine Learning Engineer

Robotics Jobs UK; Cambridge; On-site; GBP 60,000 - 81,000; Full time

Benefits offered by this job

Private medical insurance

Generous pension scheme

Access to local clubs and sports

Job summary

Robotics Jobs UK in Cambridge is seeking engineers and scientists to develop machine learning systems for defence and security applications. You will work across the ML lifecycle from concept and architecture decisions through data collection and training to product integration and evaluation, with models integrated into in-house electronics for functional prototypes and demonstrators.

The role welcomes candidates from PhD to industry veterans, requiring onsite full-time work in Cambridge and

Qualifications

• Top STEM degree required; PhD or relevant commercial experience preferred.
• Strong knowledge of Python for ML with hands-on experience using TensorFlow and PyTorch.
• Broad ML techniques knowledge across domains and ability to switch into new domains quickly.
• UK nationality required for passing security checks.

Responsibilities

• Develop ML systems across the lifecycle from concept to product integration and testing.
• Prototype and deploy ML models on embedded hardware up to cloud, coordinating with electronics teams.
• Work in a low-management environment with opportunities for growth and collaboration.

Skills

Python for ML

ML techniques across domains

Education

STEM degree

PhD or relevant commercial experience

Tools

TensorFlow

PyTorch

CUDA/ROCm

Job description

Inventing innovative machine learning systems to solve real-world problems in the defence sector

Cambridge; to c£70,000 DoE + Benefits

This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of devices for the defence and security sectors. As the world goes through a new industrial revolution powered by AI and ML, help lead the UK through it.

You will work across the whole machine learning development lifecycle from initial concepts and architecture decisions through data collection and training to product integration, testing and evaluation. With your models integrated with in-house leading-edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What’s special about this group is they do this many times per year working across multiple domains. You can be working on computer vision for one project, generative models for the next and then inventing how new methods for another.

With the industry moving so quickly, this company is open to candidates with a variety of backgrounds, from new PhD’s to industry veterans and anything in between.

Requirements

• Strong knowledge of Python and its use in machine learning including hands‑on experience building products with modern ML frameworks such as TensorFlow and PyTorch.
• Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly.
• A top degree in a STEM subject. Additionally, a PhD or relevant commercial experience.
• UK nationality for passing security checks.

While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to cloud computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc).

Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low‑management work environment that encourages teamwork and respect for individuals’ expertise as well as providing opportunities for continued professional growth and development. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full‑time for this role.