76 to 100 of 230 Computer Vision Jobs in England

techniques in your area(s) of expertise. BASIC QUALIFICATIONS PhD in a relevant field, received within 2 years of starting the program Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Operations Research, or other related technical fields Experience in data science and quantitative research Proficiency in technologies relevant to the subfield PREFERRED More ❯

ambiguity and are a creative thinker who can apply research and past experiences to new problems. What were looking for: Education & Experience: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 7+ years of professional experience in a relevant area like fraud prevention or credit scoring Machine Learning Expertise: Strong understanding of machine … Kingdom 3 weeks ago London, England, United Kingdom 2 months ago London, England, United Kingdom 4 weeks ago London, England, United Kingdom 1 month ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 days ago Greater London, England, United Kingdom 5 days ago London, England, United Kingdom 5 months ago Greater London, England, United Kingdom More ❯

or Master s in CS, Engineering, Data Science, or similar 1 5 years experience in AI/ML roles or relevant hands-on projects Nice to Have (Bonus) : NLP, Computer Vision, or Reinforcement Learning experience Knowledge of MLOps tools (MLflow, Kubeflow, etc.) Familiarity with SQL or Big Data tools (e.g., Spark) ️ Please apply only if you meet the More ❯

performance. Inclusive Culture: Promote an inclusive and diverse work environment where every team member feels valued, respected, and empowered. What we're looking for: Education: Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. A PhD is a plus. Principal Engineer: 6+ years of experience in anomaly detection, machine learning, or related technical fields. … Domain Expertise: Prior experience in anomaly detection applied to areas such as QA, gameplay analysis, computer vision or video stream analysis. Proven experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch. Strong understanding of data analysis, signal processing, and statistical modeling. Experience with video processing and understanding of game streaming technologies is a plus. Problem More ❯

learning engineering or related roles. Proficient in Python programming language. Solid understanding of machine learning algorithms, tools, and techniques, such as supervised. and unsupervised learning, transformer models, deep learning, computer vision, natural language processing, etc. Experience with common ML libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn. Ability to work independently and collaboratively with multi-functional … ML code. Familiarity with software engineering standard methodologies, such as version control, code review, CI/CD, etc. You might also have Master's degree or equivalent experience in computer science, engineering, statistics, or related fields. Experience with price/discount optimization. Experience in working with large-scale and sophisticated data sets Experience in applying machine learning to domains More ❯

Good to have: Expertise in any one framework (TensorFlow, Pytorch, Keras) Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) Experience with Transforms Architecture Design, specializing LLM (Zero/Few Shot Training) or any POC to create SML … technologies Knowledge on Statistical Methods OTHER SKILLS WE'D APPRECIATE 1. Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. EDUCATION QUALIFICATION Graduate in Engineering OR masters in computer applications. Process Skills: General SDLC processes Understanding of utilizing Agile and Scrum software development methodologies Skill in gathering and documenting user requirements and writing technical specifications. Behavioral Skills: Good More ❯

participating in calls and meetings, and representing InstaDeep in conferences/events. Requirements: At least 2 years of experience in machine learning, and deep learning (natural language processing and computer vision) in industry. Master, PhD degree or equivalent experience in applied mathematics, computer science, bioinformatics or related scientific fields. Proficiency in software engineering (Python, Pytorch, JAX, Docker … cancer. Excellent communication skills in English. Appropriate work permit for the UK, Europe or South Africa depending on application. Nice to haves: Knowledge in areas around immunology, proteomics, and computer vision. Knowledge in molecular biology, biochemistry, structural biology, or a related discipline. Experience with high-performance computing or MLOps. Our commitment to our people We empower individuals to celebrate More ❯

seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on machine learning models for retention, price optimisation, recommendation engines, NLP, and Computer Vision. Responsibilities: Design, develop, and productionize machine learning models across various applications. Work with Python (ideally production-level code) and other tools like SQL, Spark, and Databricks. Apply clustering … Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions and manage stakeholders How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. More ❯

seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on machine learning models for retention, price optimisation, recommendation engines, NLP, and Computer Vision. Responsibilities: Design, develop, and productionize machine learning models across various applications. Work with Python (ideally production-level code) and other tools like SQL, Spark, and Databricks. Apply clustering … Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions and manage stakeholders How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. More ❯

customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. This role will report to a Manager of Research Science in the AI Lab. … practices Explore new data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and More ❯

integration into production. Evaluate model performance and suggest improvements. Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in Python and key libraries such as NumPy, Pandas, scikit-learn, TensorFlow or PyTorch. Basic understanding of machine learning … algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a relevant discipline. Exposure to NLP, computer vision, or recommendation systems. Familiarity with cloud services (AWS, GCP, or Azure). Experience with Git and modern development practices. Interest in deploying models into real-world applications. What More ❯

Kingdom 1 week ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 1 week ago London, England, United Kingdom 6 months ago Were unlocking community knowledge in a new way. Experts add insights directly into More ❯

performance. Inclusive Culture: Promote an inclusive and diverse work environment where every team member feels valued, respected, and empowered. What we're looking for: Education: Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. A PhD is a plus. Principal Engineer: 6+ years of experience in anomaly detection, machine learning, or related technical fields. … Domain Expertise: Prior experience in anomaly detection applied to areas such as QA, gameplay analysis, computer vision or video stream analysis. Proven experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch. Strong understanding of data analysis, signal processing, and statistical modeling. Experience with video processing and understanding of game streaming technologies is a plus. Problem More ❯

performance. Inclusive Culture: Promote an inclusive and diverse work environment where every team member feels valued, respected, and empowered. What we're looking for: Education: Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. A PhD is a plus. Principal Engineer: 6+ years of experience in anomaly detection, machine learning, or related technical fields. … Domain Expertise: Prior experience in anomaly detection applied to areas such as QA, gameplay analysis, computer vision or video stream analysis. Proven experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch. Strong understanding of data analysis, signal processing, and statistical modeling. Experience with video processing and understanding of game streaming technologies is a plus. Problem More ❯

performance. Inclusive Culture: Promote an inclusive and diverse work environment where every team member feels valued, respected, and empowered. What we're looking for: Education: Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. A PhD is a plus. Principal Engineer: 6+ years of experience in anomaly detection, machine learning, or related technical fields. … Domain Expertise: Prior experience in anomaly detection applied to areas such as QA, gameplay analysis, computer vision or video stream analysis. Proven experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch. Strong understanding of data analysis, signal processing, and statistical modeling. Experience with video processing and understanding of game streaming technologies is a plus. Problem More ❯

Kingdom 3 months ago London, England, United Kingdom 6 months ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 19 hours ago London, England, United Kingdom 1 week ago London, England, United Kingdom 7 hours ago Greater London, England, United Kingdom More ❯

and infrastructure, working closely with data engineering and DevOps functions (Kubernetes, MLflow, Vertex AI, etc.). Acting as a thought leader, identifying new AI use cases and communicating technical vision to executive stakeholders and cross-functional teams. Champion ethical AI principles, ensuring fairness, transparency, and robustness in deployed models. What we need you to have: A deep technical grounding … in machine learning, NLP, computer vision, or autonomous systems,ideally with hands on experience in deep learning frameworks. Proven track record of leading AI initiatives from R&D to production, including delivery of generative AI applications, custom LLMs, or intelligent agents. Strategic mindset with the ability to balance research innovation and commercial value delivery. Comfortable operating across cloud More ❯

dev/test environments. Use Git, CI/CD tools, and containerization (e.g., Docker) to maintain codebase quality. Applied AI Domains Work on projects involving Natural Language Processing (NLP), Computer Vision, Generative AI, or Recommendation Systems. Support annotation, feature engineering, and augmentation tasks where necessary. Write clear, well-organized documentation for code, models, datasets, and workflows. Participate in … and code reviews. Engage with mentors to reflect on progress, set learning goals, and track outcomes. Required Qualifications A Bachelor's or Master's degree (completed or ongoing) in Computer Science, Data Science, Mathematics, Software Engineering, or a related STEM field. Eligibility to enroll in a Level 6 or Level 7 AI/ML/Data Science apprenticeship programme. More ❯

Odin Vision is a multi-award winning company that provides state-of-the-art AI-enabled software applications for endoscopic procedures to aid clinicians in the detection and diagnosis of disease, supporting higher quality care, improved patient outcomes, and better value for healthcare payers. As a Research Scientist at Odin Vision, you will implement and maintain state-of … sources Training infrastructure planning and maintenance Monitoring of models in production Building, maintaining, and monitoring data pipelines Supporting evaluation/comparison of ML models requirement Qualification: Graduated from a computer science, software engineering, or related degree program Experience: 5+ years experience working in the industry or a PhD in a relevant field Technical leadership with a range of technical … abilities e.g. Data Engineering, Machine Learning, Cloud, DevOps & Software Good theoretical understanding of machine learning, neural networks, and other computer vision topics Hands-on experience with Python and PyTorch Hands-on experience with MLOps frameworks and platforms (We use ClearML!) Experience with additional programming languages and frameworks is a plus Experience working with cloud platforms (GCP, AWS, Azure More ❯

Experience in applied research PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯

in a start-up environment and is comfortable delivering functional, "good-enough" solutions under time pressurewhile continuously refining and improving the systems over time. Essential 2:1 degree in computer science or relevant engineering discipline 5+ year Software Engineering lead experience, including system architect, mentoring, and code reviews Python/C++, PyTorch, Numpy, Pandas, Tensorflow, Computer Vision More ❯

experiments, A/B tests, and validate approaches statistically Use tools like Python, TensorFlow, PyTorch, Scikit-learn, MLflow, SQL, Docker, AWS/GCP What Youll Need: Bachelors degree in Computer Science, AI, Machine Learning, or related field 1+ year of experience in a Machine Learning Engineer or similar role Strong Python skills and ML framework knowledge (TensorFlow, PyTorch, etc. … Hands-on experience deploying models into production environments Solid grasp of algorithms, data structures, and statistical modelling Familiarity with cloud platforms (AWS, GCP, Azure) Bonus: Experience with NLP, computer vision, recommendation systems Why Apply: 100% remote UK-based Work with cutting-edge US AI teams Access to multiple roles with one application Fast, free hiring process Some roles More ❯

experiments, A/B tests, and validate approaches statistically Use tools like Python, TensorFlow, PyTorch, Scikit-learn, MLflow, SQL, Docker, AWS/GCP What Youll Need: Bachelors degree in Computer Science, AI, Machine Learning, or related field 1+ year of experience in a Machine Learning Engineer or similar role Strong Python skills and ML framework knowledge (TensorFlow, PyTorch, etc. … Hands-on experience deploying models into production environments Solid grasp of algorithms, data structures, and statistical modelling Familiarity with cloud platforms (AWS, GCP, Azure) Bonus: Experience with NLP, computer vision, recommendation systems Why Apply: 100% remote UK-based Work with cutting-edge US AI teams Access to multiple roles with one application Fast, free hiring process Some roles More ❯

experiments, A/B tests, and validate approaches statistically Use tools like Python, TensorFlow, PyTorch, Scikit-learn, MLflow, SQL, Docker, AWS/GCP What Youll Need: Bachelors degree in Computer Science, AI, Machine Learning, or related field 1+ year of experience in a Machine Learning Engineer or similar role Strong Python skills and ML framework knowledge (TensorFlow, PyTorch, etc. … Hands-on experience deploying models into production environments Solid grasp of algorithms, data structures, and statistical modelling Familiarity with cloud platforms (AWS, GCP, Azure) Bonus: Experience with NLP, computer vision, recommendation systems Why Apply: 100% remote UK-based Work with cutting-edge US AI teams Access to multiple roles with one application Fast, free hiring process Some roles More ❯

work in the UK . Verification of employment eligibility is required at hire; visa sponsorship is not available. QUALIFICATIONS AND KEY REQUIREMENTS: Lead Space Station Engineer/BEng in Computer or Systems Engineering/Electronic & Embedded Engineer/20+ years FPGA Design experience/AI Governance Lead/Cryptography Specialist Chartered Engineer (CEng) with 15+ years proven experience Member … JTAG) Embedded Software Engineer with 20+ years experience in Embedded C/C++, Python, Linux, RTOS, microcontrollers, network protocols, Model-Based Design Expertise in Machine Learning & AI, Deep Learning, Computer Vision, Data Science, Programming (Python, TensorFlow, PyTorch, MATLAB, Julia), Computational Modeling (FEA, HPC) Additional qualifications include MEng in Electronics and Computer Science, BSc in Electronic Engineering, RF More ❯