1 to 25 of 82 Computer Vision Jobs in the Midlands

equitable, and scalable. Integrate AI/ML solutions effortlessly into grid automation systems, whether in the cloud or at the edge. Must-Have Requirements Master's or PhD in Computer Science, Information Technology, Electrical Engineering, or a related field. Proven experience in the energy, smart infrastructure, or industrial automation sectors, with expertise in system protection, automation, monitoring, and diagnostics. … with GraphDB, MongoDB, SQL/NoSQL, and other DBMS technologies. Understanding of system automation, protection, and diagnostics in relevant sectors. Experience with deep learning algorithms, reinforcement learning, NLP, and computer vision in applicable domains. Excellent communication, organizational, and problem-solving skills, with a strong emphasis on teamwork, collaboration, and fostering inclusive environments. At GE Vernova - Grid Automation, you More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

and unspent criminal record check (known as Disclosure and Barring Service) Your role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at scale. More ❯

you work with others. Key Responsibilities Collaborate with cross-functional teams to scope, design, and implement AI solutions, Develop and validate models for structured and unstructured data (e.g. NLP, computer vision, time series), Translate complex business requirements into scalable, production-ready pipelines, Where applicable, contribute to model monitoring, CI/CD integration, and post-deployment support, Engage directly 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 ❯

RFIs, and proposals, including solution overviews, technical narratives, architecture diagrams, and estimates. Contribute to bid strategy, win themes, and differentiators based on the latest AI technologies (e.g. GenAI, LLMs, computer vision, NLP, predictive modelling). 4. Prototype and Demonstrate Build proof-of-concepts (PoCs) or demos to validate solution approaches and inspire client confidence. Showcase AI capabilities using More ❯

history, and an unspent criminal record check (known as Disclosure and Barring Service). Your role We are looking for technical knowledge in areas such as machine learning, GenAI, computer vision, and related fields, combined with solution architecture and software engineering skills. Your role will involve designing and building scalable solutions, helping clients identify and define problems, and More ❯

Cutting-edge computer vision and telematics software solutions company are looking to hire a Full Stack Developer. You will be working as part of a growing team, focusing on R&D and product development of innovative ML based computer vision and video management systems. This will involve developing cloud based apps, video streaming apps and web … software development lifecycle, from conceptualization to deployment. Key skills/experience required: Proven track record as a Full Stack Developer. Ideally with experience in developing and deploying telematics or computer vision software products. Expertise in back-end development - particularly Python, Django, PHP, Laravel Proficiency in front-end languages + libraries eg HTML/CSS/JavaScript Experience in … integrating computer vision algorithms into both backend & frontend Familiarity with computer vision libraries and frameworks such as OpenCV, TensorFlow, and PyTorch. Knowledge of databases (e.g., MySQL, MongoDB), web servers (e.g., Apache), and UI/UX design principles. Relevant BSc/MSc degree eg Computer Science, ML, Computer Vision or a relevant tech subject. More ❯

Cutting-edge computer vision and telematics software solutions company are looking to hire a Full Stack Developer. You will be working as part of a growing team, focusing on R&D and product development of innovative ML based computer vision and video management systems. This will involve developing cloud based apps, video streaming apps and web … software development lifecycle, from conceptualization to deployment. Key skills/experience required: Proven track record as a Full Stack Developer. Ideally with experience in developing and deploying telematics or computer vision software products. Expertise in back-end development - particularly Python, Django, PHP, Laravel Proficiency in front-end languages + libraries eg HTML/CSS/JavaScript Experience in … integrating computer vision algorithms into both backend & frontend Familiarity with computer vision libraries and frameworks such as OpenCV, TensorFlow, and PyTorch. Knowledge of databases (e.g., MySQL, MongoDB), web servers (e.g., Apache), and UI/UX design principles. Relevant BSc/MSc degree eg Computer Science, ML, Computer Vision or a relevant tech subject. More ❯

Cutting-edge computer vision and telematics software solutions company are looking to hire a Full Stack Developer. You will be working as part of a growing team, focusing on R&D and product development of innovative ML based computer vision and video management systems. This will involve developing cloud based apps, video streaming apps and web … software development lifecycle, from conceptualization to deployment. Key skills/experience required: Proven track record as a Full Stack Developer. Ideally with experience in developing and deploying telematics or computer vision software products. Expertise in back-end development - particularly Python, Django, PHP, Laravel Proficiency in front-end languages + libraries eg HTML/CSS/JavaScript Experience in … integrating computer vision algorithms into both backend & frontend Familiarity with computer vision libraries and frameworks such as OpenCV, TensorFlow, and PyTorch. Knowledge of databases (e.g., MySQL, MongoDB), web servers (e.g., Apache), and UI/UX design principles. Relevant BSc/MSc degree eg Computer Science, ML, Computer Vision or a relevant tech subject. More ❯

Location: derby, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 6 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: Cutting-edge computer vision and telematics software solutions company are looking to hire a Full Stack Developer. You will be working as part of a growing team, focusing on R&D … and product development of innovative ML based computer vision and video management systems. This will involve developing cloud based apps, video streaming apps and web-based video management systems, particularly for vehicle-based platforms. You will play a crucial role in every stage of the software development lifecycle, from conceptualization to deployment. Key skills/experience required: Proven … track record as a Full Stack Developer. Ideally with experience in developing and deploying telematics or computer vision software products. Expertise in back-end development - particularly Python, Django, PHP, Laravel Experience in integrating computer vision algorithms into both backend & frontend Familiarity with computer vision libraries and frameworks such as OpenCV, TensorFlow, and PyTorch. Knowledge More ❯

enhanced visual performance and execution speed. Proposing, researching, and developing innovative algorithms relevant to the platform. Delivering high-quality, specification-compliant code. Utilizing tools like OpenCV, TensorFlow, and other computer vision libraries. Applying knowledge of machine learning algorithms and neural networks to enhance processing techniques. Producing high-quality design documentation that adheres to software standards for regulated industries. … Demonstrating proficiency in computer vision, image processing, and deep learning methodologies. Conducting tests, code reviews, and other quality assurance activities. Rapid prototyping for proof-of-concept initiatives. Contributing to research and development planning and execution. Supporting intellectual property management and development. Collaborating with external partners as required by leadership. Qualifications Essential Requirements: A master's degree or, preferably … a PhD in a relevant field such as computer science. Demonstrated experience in developing novel image processing algorithms at a low level. Proven ability to create parallelizable algorithm implementations for real-time video processing. Strong coding skills in C/C++. Desirable Skills and Abilities: Experience writing CUDA kernel code. Proficiency in optimizing algorithms for speed during both design More ❯

improvement of our Scan2BIM workflows through research, prototyping, and tool development. Ensure scalability and robustness of AI/ML pipelines in production environments. Stay current with advances in 3D computer vision, BIM automation, and AI in construction technology. Required Skills & Experience Proven experience with point cloud data , including formats such as LAS, E57, PLY, and related toolkits (e.g. … PCL, Open3D). Strong background in machine learning and deep learning frameworks such as PyTorch, TensorFlow, or Keras. Experience with 3D vision techniques including semantic segmentation , shape detection , and scene reconstruction . Familiarity with BIM software ecosystems (e.g., Autodesk Revit, Navisworks) and CAD interoperability. Programming proficiency in Python, C++, or similar languages used for ML and 3D data handling. … ML models into Unreal Engine or Unity for real-time visualisation. Experience with synthetic data generation for training ML models on 3D datasets. Publications or personal projects in 3D vision or Scan2BIM automation. What We Offer A chance to work at the forefront of AI and reality capture innovation. Collaborative and creative multidisciplinary team environment. Flexible working options and More ❯