7 of 7 Permanent Computer Vision Jobs in Oxfordshire

Are you an experienced Computer Vision engineer ready to take the next step in your career? This is an opportunity to lead a high-performing Computer Vision & Robotics team developing real-time image processing and autonomy software for spacecraft and ground systems. You’ll play a key role in advancing technologies that enable close-proximity operations … servicing, designing algorithms for object detection, tracking, and pose estimation in some of the most challenging environments imaginable. What You’ll Do: Leadership & Team Development Lead a team of Computer Vision engineers, providing technical guidance and mentorship. Oversee project delivery, ensuring quality, performance, and timely execution. Collaborate with GNC, Software, and Systems teams across multiple mission projects. Foster … innovation and continuous learning within a collaborative engineering culture. Technical Responsibilities Design and implement computer vision modules for spacecraft navigation and autonomy. Develop and benchmark algorithms for pose estimation, tracking, and visual perception. Deliver efficient, high-quality CV software suitable for real-time and safety-critical applications. Contribute to simulation, verification, and validation of vision-based navigation More ❯

Computer Vision Engineer Salary: £50,000 - £60,000 Location: Kidlington, Oxfordshire About the Role Our client is a small Biotech firm who are looking to hire a Computer Vision Engineer on a permanent basis. The company is based in Kidlington, Oxfordshire and the role is mostly office based with one day working from home each week. … Skills Required Excellent communication skills Strong experience in computer vision (PyTorch, TensorFlow, OpenCV). Proficiency in Python Experience using version control (Git). Ability to design and conduct experiments. Experience of technical leadership on projects Application Development experience is a desirable Desirable to have a Degree in engineering, physics, computer science, or a related field. *Advanced degrees More ❯

of developing the next generation of fluid handling and automated microscopy robots. This is a hands-on, NPI-focused role where your primary responsibility will be designing and implementing computer vision models for image recognition in cell biology. You will also: Collaborate with software engineers to integrate computer vision models into a Windows-based microscopy application. … participate in wider company projects as needed. This provides a unique opportunity to gain experience across various departments and expand your skill set. Requirements (essential) Degree in engineering, physics, computer science, or a related field. Advanced degrees preferred. Strong experience in computer vision (PyTorch, TensorFlow, OpenCV). Proficiency in Python Experience using version control (e.g. Git). More ❯

and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems … and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques Highly effective communicator who encourages innovation through collaboration Natural problem-solver with a desire to learn Organised and self-motivated Desired More ❯

to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance Enhanced parental leave 24/7 GP More ❯

it’s hands-on R&D where you’ll design, prototype, and deliver new automation features from concept to completion. What you'll be doing: Develop and test machine vision algorithms (Python, TensorFlow, OpenCV) Collaborate with software and hardware engineers to integrate your features Work on high-impact projects that accelerate discovery Mentor engineers and help shape the growing … You’ll lead your own projects from concept to delivery, with the freedom to experiment, test, and make an impact. Cutting-edge tech – Work on automation, robotics, and machine vision that directly advances real-world scientific research. Collaborative team – Join a tight-knit group of engineers and scientists who love solving complex problems together. Growth & progression – Be part of … a growing company where your input helps shape future R&D direction. You’ll need a strong background in engineering, computer science, or physics, experience in computer vision or robotics, and the confidence to take ownership of your own projects in a fast-paced environment. If you’re ready to lead real innovation in a company where More ❯

journey modelling. About the Roles & Responsibilities Protein & DNA Modelling – building and adapting ML models to biological sequence and structure data, often leveraging foundation models such as ESM and EMO. Computer Vision & 3D Reconstruction – developing applied AI solutions for imaging data, including phenotyping, microscopy, and sensor-based reconstruction systems. LLM Engineering for Autonomous Labs – designing and deploying large language … models to automate experimental workflows and scientific protocols. Qualifications PhD in Computer Science or related field 3-7 years experience in Biotech, Clinical or related Industry Hands-on experience with model development, deployment, and adaptation (beyond theoretical work). Experience working with real-world data (imaging, biological, or EHR-based). The ability to collaborate effectively across research, engineering More ❯