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- Tasks: Lead the integration of machine learning in innovative electronics projects.
- Company: Join a cutting-edge team transforming industries with machine learning technology.
- Benefits: Enjoy private medical insurance, a generous pension scheme, and access to social clubs.
- Why this job: Be at the forefront of the machine learning revolution, working on diverse projects.
- Qualifications: Strong Python skills and a top STEM degree are essential; UK nationals only.
- Other info: Experience with hardware deployment is a plus; full-time onsite work required.
The predicted salary is between 28800 - 48000 £ per year.
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. 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. 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 can help you engage in meaningful conversations with your potential colleagues and demonstrate your passion for the field.
✨Tip Number 3
Network with professionals in the machine learning and electronics sectors. Attend relevant meetups, webinars, or conferences to make connections that could lead to referrals or insider information about the role.
✨Tip Number 4
Prepare to discuss your ability to transition between different machine learning domains. Highlight any past experiences where you've successfully adapted to new challenges, as this is a key requirement for the role.
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 machine learning frameworks like TensorFlow and PyTorch. Include specific projects or experiences that demonstrate your ability to work across different domains.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and innovation. Mention your experience with the entire development lifecycle and how you can contribute to the team’s goals in integrating machine learning with electronics.
Showcase Relevant Skills: Clearly outline your skills in machine learning techniques and any experience with deploying models on various hardware. If you have knowledge of GPU programming languages, be sure to include that as well.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. Ensure that all information is accurate and that your application reflects your eligibility to live and work in the UK.
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 ML 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.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills. Practice explaining your thought process when tackling machine learning challenges, as this will demonstrate your analytical abilities and approach to complex issues.
✨Emphasise Teamwork and Collaboration
Given the low-management environment, highlight your experiences working in teams. Discuss how you respect and leverage the expertise of others, as well as how you contribute to a collaborative atmosphere.
