At a Glance
- Tasks: Build and deploy cutting-edge computer vision and ML models for defence applications.
- Company: Join Applied Intuition, a pioneering tech company in London.
- Benefits: Competitive six-figure salary and the chance to work on impactful projects.
- Other info: Be part of a small, ambitious team with great career growth opportunities.
- Why this job: Make a real difference in defence technology with autonomy capabilities.
- Qualifications: Experience in computer vision, ML, and software development in C++ or Python.
The predicted salary is between 100000 - 120000 £ per year.
We’re continuing to build out the Applied Intuition team here in London, and one of the key roles we’re hiring for is a Computer Vision / Senior Autonomy Engineer. This is a hands-on role for someone who wants to build, test and deploy real autonomy capability into mission-critical defence environments. This is not a pure research role, and it is not just model prototyping either.
We’re looking for someone who can take ML and computer vision models through the full development cycle, from prototyping and evaluation through to optimisation, deployment and system-level performance. The role will involve things like:
- Prototyping, evaluating and deploying ML algorithms for defence use cases
- Working across computer vision, perception and autonomy
- Building and improving deep learning models
- Developing input pipelines, evaluation methods and model optimisation approaches
- Working closely with perception and planning engineers
- Translating customer and product requirements into technical solutions
- Writing production software in C++ and/or Python
- Testing, debugging and improving model performance in real-world autonomy systems
- Supporting junior engineers as the UK team grows
We’re particularly interested in people who have worked in computer vision, perception, deep learning, autonomy, robotics, drones, aerospace or defence environments. This would suit someone who has built real software and ML systems, not just experiments or demos.
Useful experience would include:
- Computer vision, perception or deep learning
- Object detection, tracking or segmentation
- ML model development, evaluation and deployment
- C++ and/or Python
- PyTorch, TensorFlow or OpenCV
- Real-time or embedded systems
- Robotics, drones, aerospace or defence
- SIL / HIL or real-world autonomy testing
Nice to have, but not essential:
- Publications in computer vision, robotics or machine learning
- Experience with drones or flight computers such as PX4
- Experience improving system-in-the-loop model performance
- Current or previous UK Security Clearance
What matters most is that you are a strong engineer, comfortable working across ML and production software, and excited by the idea of building real autonomy capability for defence use cases. This would suit someone ambitious, hands-on and low ego who wants to work in a small, high-impact team helping shape Applied Intuition’s UK engineering capability.
A few key details:
- Location: London
- Salary: Six-figure salary
- Must be able to hold UK Security Clearance
- Defence / autonomy / vehicle intelligence focus
- Computer vision / ML / perception
- Early UK team, real ownership
If this sounds like you, or someone in your network, drop me a message.
Computer Vision Engineer in London employer: Applied Intuition
Applied Intuition is an exceptional employer for Computer Vision Engineers, offering a dynamic work environment in London where innovation meets real-world application. With a focus on autonomy and defence, employees benefit from a collaborative culture that encourages hands-on development and optimisation of cutting-edge ML systems, alongside opportunities for professional growth within a small, high-impact team. The company provides competitive salaries and the chance to make a significant impact in mission-critical projects, making it an attractive choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision Engineer in London
✨Dive into Robotics Meetups
Get yourself out there and connect with others in the robotics-automation field by attending local meetups and industry events. These gatherings are where the magic happens, and you might just rub shoulders with someone from Applied Intuition or get insider tips on upcoming vacancies.
✨Showcase Your Projects
Create a portfolio that highlights your robotics projects, whether they're personal, academic, or freelance. Share this on platforms like GitHub or your personal website, as it shows potential employers, like Applied Intuition, what you're made of and your hands-on experience in the field.
✨Utilise University Resources
If you're fresh out of university or still connected, don't underestimate your career services. They often have exclusive access to job fairs and employer networking events in technical fields like ours, so make sure you tap into those resources to discover openings at companies like Applied Intuition.
✨Engage in Online Communities
Join online communities that focus on robotics and automation, such as forums or LinkedIn groups. Engage in conversations, ask questions, and share insights. This not only builds your visibility but could also lead to direct connections at firms like Applied Intuition, which might have the full-time role you're after.
We think you need these skills to ace Computer Vision Engineer in London
Some tips for your application 🫡
Showcase Your Technical Skills:In the robotics and automation field, it's crucial to highlight your technical skills on your CV. Include specific programming languages, software platforms, and any relevant robotics experience. Don’t forget to mention any projects or systems you've developed – this info can really make you stand out!
Portfolio Perfection:Having a polished portfolio can speak volumes for a role in robotics. Include any relevant case studies, designs, or prototypes you've worked on. If you've participated in competitions or hackathons, showcase these achievements as well – they show initiative and problem-solving skills!
Tailored Cover Letter Magic:In your cover letter, don’t just tell us that you love robotics—tell us why you’re passionate about automation specifically! Explain how your skills can contribute to Applied Intuition’s projects and remember to connect your past experiences to what you'll be doing in this role.
Certifications Matter:If you’ve got any relevant certifications, such as in robotic process automation or machine learning, make sure they’re front and centre on your CV. These credentials show you're dedicated to your field and keep you up to date with industry standards – we love to see that!
How to prepare for a job interview at Applied Intuition
✨Showcase Your Technical Wizardry
For a role in robotics and automation at Applied Intuition, it's crucial to demonstrate your technical skills. Be prepared to dive into specifics about the programming languages and tools you’ve used, like Python or ROS (Robot Operating System). Brush up on your knowledge of algorithms and control systems, as these might come up during technical questions.
✨Bring Your Projects to Life
With a full-time position in robotics, you should have a portfolio of your projects ready to show. Whether it's a robot you built for a competition or a simple automation script, make sure you can discuss the challenges you faced and how you solved them. This hands-on experience is gold and shows you can apply theoretical knowledge in real-world scenarios.
✨Think Like an Engineer
Expect some problem-solving scenarios during your interview. You might be asked to design a basic automation solution on the spot or troubleshoot a robotic system. Practising these types of technical questions can really set you apart, as they require critical thinking and a systematic approach to tackle problems.
✨Culture Fit Is Key!
Don’t underestimate the importance of cultural fit at Applied Intuition. They might ask about your teamwork experience and how you handle challenges with peers. Be ready to share examples of working in diverse teams, as collaboration is often central to projects in robotics and automation.
