2 jobs in Ecm Selection

Principal Electronics Engineer (27597)

Cambridge Ecm Selection

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Job Description

Are you a creative engineer who thrives on solving complex technical challenges from first principles? A company specialising in medical devices and safety-critical consumer products is seeking a talented principal electronics engineer to lead groundbreaking product development.

This role will see the successful candidate developing electronics and embedded software for diverse electronics products, integrating hardware and software systems, and progressing to lead dynamic project teams. The position offers the opportunity to work throughout the complete product lifecycle, from initial concept generation through to manufacturing, whilst building client relationships and securing commercial contracts. Working primarily in regulated markets, particularly medical devices and surgical solutions, the successful candidate will tackle challenges that require returning to theoretical first principles and devising innovative solutions.

Requirements:

  • Extensive commercial experience designing, prototyping and testing electronic circuits/systems and writing embedded software in C / C++.
  • Practical hands-on electronics skills including soldering, PCB modification, wiring and use of test equipment.
  • Project planning, resourcing and leadership capabilities.
  • Strong academic background with a first or 2:1 degree in engineering from a leading university (UK top 20 or equivalent) with excellent A-level results. Further post-graduate education would be well received and recognised.
  • Demonstrated ability to work across disciplines with excellent communication and presentation skills.

Candidates must be eligible to work in the UK as company sponsorship is not available.

This company offers exceptional opportunities for fast-track career development into project leadership roles. They maintain an ethical stance on project selection, ensuring meaningful and satisfying work. This role is based at their modern facilities close to good rail and road connections. The remunerations package on offer includes a competitive salary, bonus scheme, generous employer pension contributions and personal training budgets.

Keywords: Electronics, Electromechanical, Project Management, Team Leadership, Schematic Capture, PCB Layout, Hardware Bring-up, Fault Finding, Embedded Software, C/C++, Debugging, Product Testing, Transfer to Manufacture

Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.

Recommend for £250 - see -a-friend for details.

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Machine Learning Engineer (27674)

Cambridge Ecm Selection

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Overview

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).

Benefits

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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