At a Glance
- Tasks: Design and deploy cutting-edge ML models for critical national security applications.
- Company: Leading UK defence organisation with a focus on innovation.
- Benefits: Competitive salary up to £200,000, relocation support, and impactful work.
- Other info: Collaborative team environment with opportunities for professional growth.
- Why this job: Make a real difference in national security while working with advanced technology.
- Qualifications: First-class degree in relevant field and 3+ years of ML engineering experience.
The predicted salary is between 180000 - 200000 £ per year.
This is a unique opportunity for an experienced ML Engineer to join a specialist team within a leading UK defense organisation. You will develop and deploy machine learning systems that operate in high-stakes, mission-critical environments and work that has genuine and lasting impact on national security. If you have a strong background in computer vision and a passion for applying machine learning to complex real-world problems, this role was written for you.
The Role
- Design, build, and deploy production-grade ML models with a focus on computer vision applications including object detection, image classification, and segmentation.
- Collaborate closely with engineers, scientists, and domain experts to translate complex requirements into robust, scalable solutions.
- Play a key role in shaping the AI capability of the platform.
Requirements
- A first class honours degree in Computer Science, Machine Learning, Mathematics, or a related discipline.
- 3+ years of machine learning engineering experience in a professional environment.
- Strong Python skills with hands-on experience in PyTorch and/or TensorFlow.
- Demonstrable expertise in computer vision techniques applied to real-world problems.
- Experience deploying models from prototype through to production.
- Hold current DV clearance, or be eligible and willing to undergo the DV clearance process.
- Must be a UK national or meet security clearance eligibility requirements.
- Willingness to be based in London, with potential for relocation elsewhere in the UK.
If this role is of interest, please apply below.
Machine Learning Engineer employer: Platform Recruitment
As an Electronics Engineer at our Cambridge location, you will be part of a dynamic team that values innovation and collaboration, offering a stimulating work environment where your contributions directly impact high-performance electronic systems. We provide competitive salaries, comprehensive benefits, and ample opportunities for professional growth, ensuring that you can advance your career while enjoying a supportive and inclusive workplace culture.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow ML enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to computer vision. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a Machine Learning Engineer. Highlight your experience with computer vision and any relevant projects you've worked on. We want to see how your skills align with the job description!
Showcase Your Projects:Include specific examples of ML models you've designed and deployed, especially those related to computer vision. We love seeing real-world applications of your work, so don’t hold back on the details!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about machine learning and how you can contribute to our team. We’re looking for genuine enthusiasm and a clear understanding of the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Platform Recruitment
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially in computer vision. Be ready to discuss your past projects and how you've applied techniques like object detection and image classification. This will show that you’re not just familiar with the theory but have real-world experience.
✨Showcase Your Skills
Prepare to demonstrate your Python skills, particularly with PyTorch or TensorFlow. You might be asked to solve a coding problem or explain your approach to deploying models. Practising common ML problems beforehand can really help you shine during the technical part of the interview.
✨Understand the Mission
Since this role is within a defence organisation, it’s crucial to understand the impact of your work on national security. Familiarise yourself with the company’s mission and how AI plays a role in their operations. This will help you align your answers with their goals and show your commitment.
✨Be Ready for Collaboration Questions
You’ll likely be working closely with engineers and scientists, so expect questions about teamwork and collaboration. Think of examples where you’ve successfully worked in a team to solve complex problems. Highlight your communication skills and how you translate technical jargon into layman's terms.
