Machine Learning Engineer

ECM Selection (Holdings) Limited; Cambridgeshire and Peterborough; On-site; GBP 42,000 - 70,000; Full time

Benefits offered by this job

Private medical insurance

Generous pension scheme

Access to local social and sports club

Job summary

ECM Selection (Holdings) Limited in Cambridgeis seeking an experienced ML engineer to join an innovative team building machine learning systems for defence applications. You will work across the full development lifecycle, from concepts and data collection to training, integration, testing and evaluation.

You will apply Python and ML frameworks such as TensorFlow and PyTorch across diverse domains, delivering prototypes and demonstrator units onsite.

Qualifications

• 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.

Responsibilities

• Contribute across the full ML development lifecycle from concept to data collection, training, integration, testing and evaluation.
• Develop prototypes and demonstrator units, deploying ML models on in‑house hardware and cloud resources as needed.
• Collaborate across teams to apply ML to defence and security domains and deliver practical solutions.

Skills

Python

Machine learning

Cross‑domain ML

Education

STEM degree

PhD or industry experience

Tools

TensorFlow

PyTorch

Job description

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

Cambridge; to £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 that 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 PhDs 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.

Please apply (quoting ref: CV27674) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.