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- Tasks: Lead the integration of machine learning into innovative electronics, from concept to prototype.
- Company: Join a cutting-edge team transforming industries with machine learning and modern electronics.
- Benefits: Enjoy private medical insurance, a generous pension scheme, and access to local clubs.
- Why this job: Be at the forefront of the machine learning revolution, working on diverse projects across multiple domains.
- Qualifications: Strong Python skills and knowledge of ML frameworks like TensorFlow and PyTorch required.
- Other info: Full-time onsite role in a low-management environment that values teamwork and expertise.
Spearheading the integration of machine learning into cutting-edge electronics. This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge.
You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with 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 dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next.
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.
- UK national.
- While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable.
- Any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc) is a plus.
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. 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 position.
Machine Learning Engineer employer: ECM Selection (Holdings) Limited
Contact Detail:
ECM Selection (Holdings) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest machine learning frameworks like TensorFlow and PyTorch. Being able to discuss specific projects or experiences where you've used these tools will show your hands-on expertise during interviews.
✨Tip Number 2
Stay updated on the latest trends in machine learning and electronics integration. This knowledge will not only help you in interviews but also demonstrate your passion for the field and your commitment to innovation.
✨Tip Number 3
Network with professionals in the machine learning and electronics sectors. Attend relevant meetups, webinars, or conferences to connect with potential colleagues and learn about opportunities that may not be advertised.
✨Tip Number 4
Prepare to discuss your experience with deploying machine learning models on various hardware platforms. Even if it's not a requirement, showcasing this knowledge can set you apart from other candidates and highlight your versatility.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong knowledge of Python and experience with machine learning frameworks like TensorFlow and PyTorch. Include specific projects where you've applied these skills, especially in relation to electronics.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the innovative work being done by the team. Mention your ability to transition between different machine learning domains and any relevant experience with hardware deployment.
Showcase Relevant Projects: If you have worked on projects involving computer vision or generative models, be sure to detail these experiences. Highlight how your contributions led to successful outcomes, particularly in prototype development.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any errors. Ensure that your information is accurate and that your passion for machine learning and electronics shines through.
How to prepare for a job interview at ECM Selection (Holdings) Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and machine learning frameworks like TensorFlow and PyTorch. Bring examples of projects you've worked on, highlighting your hands-on experience in building products.
✨Demonstrate Adaptability
Since the role involves transitioning between different domains, be ready to talk about how you've quickly adapted to new technologies or methodologies in past projects. This will show your versatility and eagerness to learn.
✨Discuss Real-World Applications
Prepare to discuss how you've applied machine learning techniques in practical scenarios. Whether it's computer vision or generative models, having concrete examples will illustrate your capability to contribute to innovative projects.
✨Emphasise Teamwork and Collaboration
Given the low-management environment, highlight your ability to work well in teams. Share experiences where you collaborated with others to achieve a common goal, showcasing your respect for individual expertise.
