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- Tasks: Develop and deploy cutting-edge machine learning models for innovative multi-camera perception systems.
- Company: Exciting startup with a high-growth strategy and recent multi-million seed funding.
- Benefits: Competitive salary, equity options, hybrid working, and opportunities for professional growth.
- Other info: Dynamic environment with opportunities to publish research at top-tier conferences.
- Why this job: Join a pioneering team and make a real impact in AI and computer vision technology.
- Qualifications: PhD in relevant field and strong experience with deep learning frameworks and computer vision.
The predicted salary is between 90000 - 130000 £ per year.
We are seeking a Senior Applied Machine Learning / Computer Vision Engineer to develop and deploy machine learning models for a cutting-edge multi-camera perception system. This is an opportunity to build real-world AI systems from first principles, combining research-level work with deployment and impact, with freedom to explore and contribute to publishable work.
Founded in 2024 with a recently closed multi £million seed funding round, the business has a high-growth strategy that looks towards a series A in 18 months. Their technology is a real-time, high-resolution passive 3D sensor based on AI and multi-stereoscopy. For both defence and civilian use, the technology focuses on real-time 3D for supporting autonomous vehicles (UGV, UAV, USV), robotics and other such systems.
Working closely with the AI Lead and CTO, you will take ownership of turning advanced models into robust, real-world components - from training pipelines through to deployment on edge systems. The Senior ML/CV Engineer role combines hands-on engineering with applied research, with opportunities to contribute to state-of-the-art work suitable for venues such as NeurIPS, ICCV, or CVPR, where appropriate.
Responsibilities:- Model Development & Training
- Develop and train models for perception, correspondence, and feature extraction
- Design experiments to improve performance, robustness, and generalisation
- Explore novel architectures and approaches where appropriate
- Build and maintain scalable training pipelines
- Work with real-world and synthetic datasets
- Design evaluation frameworks and benchmarks
- Optimise models for edge and real-time deployment
- Improve inference speed, memory efficiency, and robustness
- Integrate models into full perception pipeline
- Contribute to advancing the state-of-the-art in applied vision systems
- Collaborate on research outputs suitable for top-tier conferences
- Balance innovation with delivery constraints
- PhD in Machine Learning, AI, Computer Vision, or related field
- Strong experience with deep learning frameworks (PyTorch / TensorFlow)
- Strong experience with computer vision models and ML training and evaluation pipelines
- Strong programming skills (Python, Java, C, CUDA and/or C++)
- Demonstrated ability to translate theory into working systems
- Citizenship of a NATO country (required due to project constraints)
- Publications in NeurIPS, CVPR, ICCV, etc.
- Experience deploying models to edge / embedded systems
- Experience with multi-view or 3D perception problems
We encourage applications from researchers transitioning from academia; alternatively, you may already have significant industry experience.
Senior Applied ML/ Computer Vision Engineer in Banbury employer: Richard Wheeler Associates
Contact Detail:
Richard Wheeler Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied ML/ Computer Vision Engineer in Banbury
✨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 put in a good word for you.
✨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. We want to see how you think and approach real-world problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to join our cutting-edge team.
We think you need these skills to ace Senior Applied ML/ Computer Vision Engineer in Banbury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in machine learning and computer vision. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or publications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a clear understanding of our technology.
Showcase Your Projects: If you've worked on any cool projects, especially those involving real-time systems or multi-camera setups, make sure to mention them. We’re keen to see how you’ve applied your knowledge in practical scenarios!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we love seeing candidates who follow instructions!
How to prepare for a job interview at Richard Wheeler Associates
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning and computer vision. Be ready to discuss your experience with deep learning frameworks like PyTorch or TensorFlow, and have examples of your work with model development and training pipelines at the ready.
✨Showcase Your Projects
Prepare to talk about specific projects where you've developed and deployed machine learning models. Highlight any real-world applications, especially those involving edge systems or 3D perception, as this will resonate well with the interviewers.
✨Ask Smart Questions
Demonstrate your interest in the role by asking insightful questions about their technology and future projects. Inquire about their approach to optimising models for real-time deployment or how they balance innovation with delivery constraints.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. Brush up on your programming skills in Python, Java, or C++, and be prepared to solve problems on the spot, showcasing your ability to translate theory into practical solutions.