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- Tasks: Build and deploy cutting-edge computer vision models for real-time insights.
- Company: Fast-growing tech company focused on advanced engineering solutions.
- Benefits: Competitive salary of £140,000 plus benefits and hybrid working.
- Other info: Opportunity to influence architecture and shape the platform's future.
- Why this job: Make a real impact in safety and efficiency with innovative technology.
- Qualifications: Strong Python skills and experience in computer vision required.
The predicted salary is between 140000 - 140000 £ per year.
Location: London (Hybrid)
Clearance: SC or DV Clearable
Salary: £140,000 + Benefits
I’m currently on the lookout for several Machine Learning Engineers to join a fast growing engineering team at a cutting edge tech company developing advanced computer vision solutions that transform data streams into real-time, actionable insights. Their technology is deployed in real-world environments, helping organisations improve safety, efficiency, and decision making – all with a strong privacy first approach.
This is a high-impact role where you’ll work on building and deploying production grade CV models. You’ll be involved across the full lifecycle – from evaluating state of the art research to developing scalable inference pipelines and deploying models into live environments. There’s excellent scope to take ownership, influence architecture, and shape the future direction of the platform.
Technical Skills Required:
- Strong Python engineering skills
- Experience in computer vision (object detection, tracking, depth estimation, 3D / SLAM)
- Proven experience deploying ML/CV models into production
- Experience with PyTorch, OpenCV, and ML tooling (e.g. Lightning, W&B)
- Familiarity with ONNX / TensorRT is a plus
- Strong understanding of scalable inference and system performance
If you’d like to find out more, feel free to apply for a confidential chat or drop me an email.
Machine Learning Engineer - SC Cleared in London employer: IO Associates
Contact Detail:
IO Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - SC Cleared in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. 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 projects, especially those related to computer vision and machine learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML concepts. Practice coding challenges and be ready to discuss your past projects in detail – they want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our team.
We think you need these skills to ace Machine Learning Engineer - SC Cleared in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Python engineering skills and experience in computer vision. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how you can contribute to our cutting-edge tech team. Keep it concise but impactful.
Showcase Your Projects: If you've deployed ML/CV models into production, let us know! Include links to your GitHub or any relevant portfolios that demonstrate your work with PyTorch, OpenCV, or other tools mentioned in the job description.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the attention you deserve!
How to prepare for a job interview at IO Associates
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills listed in the job description. Brush up on your Python, computer vision techniques, and any relevant frameworks like PyTorch and OpenCV. Being able to discuss your past projects and how you’ve deployed ML models will show you’re the real deal.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to deploying models in production. Think about how you approached these problems and what solutions you implemented. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Understand the Company’s Vision
Research the company’s technology and its impact on real-world applications. Be ready to talk about how their privacy-first approach aligns with your values and how you can contribute to their mission. This shows you’re not just looking for any job, but that you’re genuinely interested in their work.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your interest in the role and the company. Inquire about their current projects, team dynamics, or future technology directions. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.