Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and deploy cutting-edge machine learning models for innovative multi-camera perception systems.
- Company: Exciting tech startup with a high-growth strategy and recent multi-million 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.
- Qualifications: PhD in relevant field and strong experience with deep learning frameworks.
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 Oxford 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 Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and computer vision. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice explaining complex concepts simply, as you might need to communicate with non-technical team members.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge.
We think you need these skills to ace Senior Applied ML/ Computer Vision Engineer in Oxford
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 tell us why you’re the perfect fit for this role. Share your passion for AI and how your background can contribute to our cutting-edge technology. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any interesting ML or CV projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to multi-camera systems or 3D perception.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Richard Wheeler Associates
✨Know Your Models Inside Out
Make sure you can discuss the machine learning models you've worked with in detail. Be prepared to explain your approach to model development, training, and optimisation, especially in the context of computer vision. This will show your depth of knowledge and practical experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous projects. Discuss specific challenges you faced while deploying models or working with real-world datasets, and how you overcame them. This will demonstrate your ability to translate theory into practice.
✨Familiarise Yourself with Their Technology
Research the company's multi-camera perception system and understand its applications in autonomous vehicles and robotics. Being able to discuss their technology and how your skills align with their needs will set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions related to deep learning frameworks like PyTorch or TensorFlow, as well as programming languages such as Python or C++. Brush up on your coding skills and be ready to solve problems on the spot, as this is crucial for the role.