At a Glance
- Tasks: Invent innovative machine learning systems to tackle real-world defence challenges.
- Company: Join a cutting-edge team in Cambridge driving AI and ML advancements.
- Benefits: Competitive salary, private medical insurance, generous pension, and social club access.
- Other info: Dynamic, low-management environment with excellent professional growth opportunities.
- Why this job: Lead the UK through an industrial revolution powered by AI and make a real impact.
- Qualifications: Strong Python skills, experience with ML frameworks, and a top STEM degree required.
The predicted salary is between 60000 - 80000 £ per year.
Inventing innovative machine learning systems to solve real-world problems in the defence sector
Cambridge; to c£70,000 Do E + 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.
Whats 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 Ph Ds 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 Tensor Flow and Py Torch.
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 Ph D 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.
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Machine Learning Engineer employer: ECM Selection Ltd.
As a Senior Sensor Verification Engineer in Cambridge, you will join a dynamic team that values innovation and collaboration, offering a stimulating work environment where your contributions directly impact cutting-edge sensor technology. The company promotes a culture of continuous learning and professional development, providing ample opportunities for growth alongside competitive benefits, making it an excellent choice for those seeking meaningful and rewarding employment.
