Senior Computer Vision Engineer in London

Senior Computer Vision Engineer in London

London Full-Time 72000 - 88000 £ / year (est.) No working from home possible
Applied Intuition

At a Glance

  • Tasks: Lead the design and development of cutting-edge autonomy solutions for the defence industry.
  • Company: Join a $15 billion Silicon Valley company shaping the future of physical AI.
  • Benefits: Enjoy 25 days of paid vacation, meal benefits, and generous learning budgets.
  • Other info: Dynamic team culture with opportunities for travel and professional growth.
  • Why this job: Make a real impact in AI technology while mentoring the next generation of engineers.
  • Qualifications: 5+ years in autonomous vehicle solutions and fluency in C++ or Python.

The predicted salary is between 72000 - 88000 £ per year.

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.

We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions.

As a Senior Computer Vision Engineer on the UK Engineering team, you will lead the design, development, and verification of high-performance autonomy solutions for the defense industry. You will write perception and planning algorithms, optimize performance, and develop robust system architectures. Collaborating with cross-functional teams, you will translate requirements into technical solutions while mentoring junior engineers. The role also involves continuous innovation, testing, debugging, documentation, while staying at the forefront of AI technology.

At Applied Intuition, you will:

  • Prototype, evaluate, refine, and deploy state-of-the-art ML algorithms and solutions for defense use cases.
  • Leverage established products at Applied Intuition to build the software and infra foundation for behavior-specific ML development.
  • Tightly collaborate with perception and planning engineers on many cross-team initiatives.
  • Work closely with product managers to understand requirements and translate them into technical solutions.
  • Train and mentor junior engineers as we grow the UK team, fostering a culture of learning and improvement.
  • Stay updated with industry trends, emerging technologies, and best practices to enhance product development.

We’re looking for someone who has:

  • Experience developing autonomous vehicle solutions for aerospace and defense.
  • Experience with the end-to-end development cycle of deep learning models.
  • Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization.
  • 5+ years of experience building production software using modern software practices.
  • Fluency in C++, or fluency in Python with intermediate experience in C++.
  • References who will describe them as low-ego, highly motivated, thoughtfully opinionated, strong communicators and curious listeners.

Travel Requirements:

  • General willingness to travel for company business between our offices, as well as to customer sites.

Nice to have:

  • Publications in computer vision, NLP, or robotics.
  • Experience with drones and flight computers such as PX4.
  • Experience in evaluating and improving system-in-the-loop model performance.

Security Requirements:

  • Must have ability to hold UK Security Clearance (current or previous preferred).

Benefits:

  • 25 days of paid vacation per year.
  • Daily meal benefits: £19 lunch budget and £19 dinner budget, plus free breakfast, snacks, and drinks in the office.
  • PMI reimbursement of up to £300 per month (individual or family policy); Life insurance and critical illness cover of up to £250 per month.
  • Workplace pension with 5% employer match.
  • £795 annual learning & development and £475 annual fitness budget.
  • Cycle to Work Scheme for tax-efficient commuter bikes and accessories.
  • Generous parental leave: on top of statutory parental leave.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin.

FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact people@applied.co. We will work with you!

Senior Computer Vision Engineer in London employer: Applied Intuition

Applied Intuition offers an exceptional work environment in London, where innovation meets collaboration. Employees benefit from a competitive salary, a culture that fosters professional growth, and the opportunity to work on cutting-edge autonomy and defence projects. With a focus on hands-on experience and direct customer engagement, this role promises meaningful contributions and a rewarding career path.

Applied Intuition

Contact Details:

Applied Intuition Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Computer Vision Engineer in London

Join Local Tech Meetups

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Contribute to Open Source Projects

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We think you need these skills to ace Senior Computer Vision Engineer in London

Computer Vision
Machine Learning Algorithms
Deep Learning Model Development
C++ Programming
Python Programming
Autonomous Vehicle Solutions
System Architecture Design

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Applied Intuition.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Applied Intuition and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Applied Intuition

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Applied Intuition uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.