At a Glance
- Tasks: Build cutting-edge vision models for real-world applications and tackle unsolved challenges.
- Company: Exciting deep tech startup with a small, expert team from top research labs and tech firms.
- Benefits: Highly competitive salary and the chance to work on groundbreaking technology.
- Other info: In-person role in London, perfect for those seeking ownership and innovation.
- Why this job: Join an early-stage team and make a real impact by solving complex technical problems.
- Qualifications: Strong skills in PyTorch, deep learning, and experience with real-world data.
The predicted salary is between 60000 - 80000 £ per year.
A well-backed deep tech startup is hiring an ML Engineer to work on some genuinely unsolved problems in applied computer vision. The team is small, senior, and comes from a mix of top-tier research labs, global tech companies, and leading universities. This is an early hire into a technical team that takes the science seriously.
The problem space involves building vision models that need to work in the real world – noisy data, scarce labels, wildly variable conditions, and strict compute constraints. The core challenges are around data efficiency, cross-domain generalisation, and running accurate inference on lightweight hardware rather than cloud clusters.
What they need:
- Strong PyTorch and clean deep learning engineering habits
- Solid understanding of modern architectures – transformers, VLMs, and beyond
- Grounding in classical signal processing and CV fundamentals
- Experience owning projects end to end, not just modelling in isolation
- Comfortable building custom data pipelines from raw, messy, real-world data
- Edge inference or efficient model deployment experience is a genuine plus
The role is based in the London office, in-person, within an early-stage team. It suits someone who wants hard technical problems, real ownership, and to build something from scratch rather than maintain what already exists.
London ML Engineer: Edge AI & Vision employer: IC Resources
Join a rapidly growing deep tech startup in London, where you'll tackle challenging problems in applied computer vision alongside a talented team from prestigious backgrounds. With a strong emphasis on innovation and ownership, this role offers competitive salary, a collaborative work culture, and ample opportunities for professional growth as you contribute to groundbreaking projects in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land London ML Engineer: Edge AI & Vision
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at startups or in ML roles. Use platforms like LinkedIn to connect and engage with them. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving PyTorch and real-world data challenges. This will give potential employers a taste of what you can do and how you tackle complex problems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning fundamentals and coding skills. Practice solving problems on platforms like LeetCode or HackerRank, focusing on areas relevant to ML and computer vision.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are ready to take on challenging projects. Your next big opportunity could be just a click away!
We think you need these skills to ace London ML Engineer: Edge AI & Vision
Some tips for your application 🫡
Show Your Passion for Problem-Solving:When you write your application, let us see your enthusiasm for tackling tough challenges. Mention specific projects or experiences where you've had to think outside the box and solve complex problems, especially in applied computer vision.
Highlight Relevant Experience:Make sure to showcase your experience with PyTorch and any deep learning projects you've worked on. We want to know how you've applied modern architectures and tackled real-world data issues, so don’t hold back on the details!
Be Clear and Concise:While we love a good story, keep your application clear and to the point. Use bullet points for key achievements and make it easy for us to see why you're a great fit for the role. Remember, we’re looking for someone who can communicate effectively!
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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at IC Resources
✨Know Your Tech Inside Out
Make sure you’re well-versed in PyTorch and the latest deep learning architectures. Brush up on transformers and VLMs, as they’ll likely come up in conversation. Be ready to discuss your past projects and how you’ve applied these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some tricky questions that reflect the challenges of the role. Think about how you would approach building vision models with noisy data and scarce labels. Practise explaining your thought process clearly, as they’ll want to see how you think on your feet.
✨Demonstrate Ownership and Initiative
This role is all about taking charge of projects from start to finish. Be ready to share examples of how you’ve owned projects in the past, especially those involving custom data pipelines or edge inference. Highlight your ability to work independently and drive results.
✨Cultural Fit Matters
Since this is a small, early-stage team, they’ll be looking for someone who fits well with their culture. Research the company’s values and be prepared to discuss how your personal values align with theirs. Show enthusiasm for the startup environment and a willingness to tackle hard technical problems.
