5 of 5 Computer Vision Jobs in Staffordshire

to kickstart their career by working on real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science, or a related field, if you have a passion for AI and a hunger to learn — we want to hear from you. What You … managers, software engineers, and domain experts to solve business problems using AI. Stay Current : Keep up to date with the latest trends in AI, including generative models (e.g. LLMs), computer vision, and reinforcement learning. What We’re Looking For We’re not expecting a seasoned expert — we’re looking for potential , passion , and a strong foundation . Essential … A recent graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving More ❯

camera systems run smoothly in dynamic environments. You’ll work across both hardware and software: from configuring multi-camera rigs and calibration, through to running tests and supporting the computer-vision engineers who develop the algorithms. It’s practical, varied, and collaborative: one week you might be at an event overseas running system checks, the next back in … you’ll do • Configure, test, and deploy multi-camera systems for live events and performance measurement. • Calibrate cameras, sensors, and optical components to ensure accurate data capture. • Work alongside computer-vision engineers to integrate Python/OpenCV pipelines. • Support on-site troubleshooting, validation, and data collection. • Feed insights from the field back into hardware and software improvements. You … knowledge of Python and OpenCV/PyTorch/TensorFlow. • A hands-on mindset and willingness to travel for live deployments (UK & international). • An interest in how AI and vision systems interact with the physical world. Please note, this is a hybrid role so will only consider local candidates without need of visa/sponsorship. More ❯

camera systems run smoothly in dynamic environments. You’ll work across both hardware and software: from configuring multi-camera rigs and calibration, through to running tests and supporting the computer-vision engineers who develop the algorithms. It’s practical, varied, and collaborative: one week you might be at an event overseas running system checks, the next back in … you’ll do • Configure, test, and deploy multi-camera systems for live events and performance measurement. • Calibrate cameras, sensors, and optical components to ensure accurate data capture. • Work alongside computer-vision engineers to integrate Python/OpenCV pipelines. • Support on-site troubleshooting, validation, and data collection. • Feed insights from the field back into hardware and software improvements. You … knowledge of Python and OpenCV/PyTorch/TensorFlow. • A hands-on mindset and willingness to travel for live deployments (UK & international). • An interest in how AI and vision systems interact with the physical world. Please note, this is a hybrid role so will only consider local candidates without need of visa/sponsorship. More ❯

and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager to learn, this is the perfect opportunity to kickstart your career. … re looking for graduates with strong technical foundations, problem-solving abilities, and a hunger to grow in the ML space. Essential: A recent graduate (or soon-to-be) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of … science. Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of software engineering best practices, version control (Git), or CI/CD pipelines Understanding of deep learning, NLP, or computer vision Familiarity with deployment tools like Docker or MLflow What You’ll Gain Hands-on Experience : Work on real ML systems and contribute to production-grade solutions Mentorship More ❯

with business leaders to understand objectives and translate them into scalable AI models ️ Architect data pipelines to support machine learning workflows and model deployments ️ Evaluate and implement deep learning, computer vision, NLP, and predictive modeling solutions ️ Conduct risk assessments on AI implementations and mitigate compliance or ethical concerns ️ Partner with DevOps to integrate AI models into production systems More ❯