26 to 50 of 163 Permanent Computer Vision Jobs

technology, and policy issues. Automate AI infrastructures for the data science team. Evaluate and implement best practices in AI/ML, data mining, and analytics. Qualifications: Master's in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field. 10+ years experience with 3+ years of demonstrated and related industry experience Strong programming skills in languages such More ❯

practical challenges in data extraction, processing, and interactive systems. This role prioritizes hands-on application-such as customizing LLMs for specific tasks, including retrieval-augmented generation (RAG) pipelines and vision-based workflows-over building models from scratch. You'll focus on leveraging LLMs for solutions like advanced chatbots, natural language interfaces, semantic search, and creative problem-solving across data … Work with open-source LLMs (e.g., Gemma, Llama) for local deployment and inference, optimizing for on-premises or edge environments to ensure low-latency performance and data sovereignty. Incorporate computer vision tasks, such as OCR for text extraction from images or documents, and broader CV techniques for processing visual data in hybrid LLM pipelines. Experiment iteratively with LLM … with cross-functional teams on code reviews, rapid prototyping, and knowledge sharing, while leveraging AI coding assistants to accelerate development. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 3+ years of professional experience in AI engineering, specifically manipulating and deploying LLMs in production (e.g., via Hugging Face Transformers More ❯

products and decision-making processes. Whilst this role will be hands-on in nature and will require experience and skills for model development, you will also set the technical vision for data science, mentor a team of data scientists, and work closely with data engineering, product, and business stakeholders to ensure scalable, production-ready solutions. Your primary focus will … and MLOps teams Design, validate, and deploy machine learning models and advanced analytics solutions that support production forecasting, recommendation, and automation Guide the technical direction for statistical modeling, NLP, computer vision, and LLM-based solutions where applicable Partner with engineering teams to ensure data science solutions are scalable, production-grade, and cost-efficient across cloud platforms Establish and … data science, machine learning, or advanced analytics, ideally in a technical leadership role Proven expertise in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and experience across NLP, computer vision, and LLMs Strong statistical foundation, including A/B testing, causal inference, and experimental design Proficiency in SQL and working with large-scale, cloud-based datasets Deep More ❯

imaging data. Design and implement algorithms for hyperspectral image data processing, from low-level image reconstruction to deep learning-based tissue property estimation and semantic segmentation tasks to stereo vision reconstruction for multi-view surgical guidance. Contribute to the dissemination through patenting and clinical engagement. Closely work with our software development and regulatory team for efficient integration from R … London and was founded by a team of clinicians, medical imaging and artificial intelligence (AI) experts. Based on safe light alone, our goal is to equip clinicians with advanced computer-assisted tissue analysis for improved surgical precision and patient safety. We have developed a computational Hyperspectral Imaging (HSI) system for improved intraoperative surgical guidance. HSI is a safe optical … Innovations to improve surgical care. Come make an impact with us and help shape our story. A bit about you MSc or PhD in Machine Learning, Medical Image Computing, Computer Vision, or related technical discipline. Good knowledge of machine learning and computer vision algorithms. Familiarity with real-time imaging pipelines. Experience with scientific software packages such More ❯

datasets, developing APIs, and leveraging AI to enhance operational efficiency and deliver actionable insights. Technical Skills: Programming Languages: Python, OOPs, SQL Machine Learning Skills: Machine Learning, Deep Learning, NLP, Computer Vision, Data Preprocessing, Predictive Modelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Transfer Learning, Computer Vision, Image Processing, Image Classification, Object Detection, YOLO v8, SAM, Stable More ❯

Cambridge, UK – Hybrid (occasional UK travel required) Salary: £55,000 - £80,000 + bonus, stock options, pension, healthcare, and excellent benefits Requirements for Software Engineer BSc/MSc in Computer Science, Software Engineering, or related subject (or equivalent experience) Significant commercial experience developing production-grade desktop or web applications Strong programming skills (C++, Python or similar) Understanding of photogrammetry … solving ability and attention to code quality Great communication skills and ability to work across multidisciplinary teams Beneficial experience: Experience with geospatial or image-processing software platforms Knowledge of computer-vision libraries (e.g. OpenCV) and 3D reconstruction tools GPU programming (CUDA, OpenCL, Vulkan) or 3D visualisation frameworks (WebGL, Three.js) Exposure to cloud deployment (AWS/Azure) and agile … during the interview process, please let us know. Keywords – Software Engineer/C++ Developer/Python Developer/GIS Engineer/Image Processing Engineer/Geospatial Software Developer/Computer Vision Engineer/Remote Sensing Engineer/Multithreaded Developer/GPU Programmer/Data Visualisation Engineer/Developer/OpenCV/Spatial Databases/CUDA/OpenCL/ More ❯

genetic engineering to create 21st-century research labs that improve efficiency, reproducibility, and animal welfare. Their proprietary system enables accurate, cost-effective animal tracking through a blend of classical computer vision, deep learning, and novel ID tagging technology. Their product integrates seamlessly into existing infrastructure, allowing for large-scale deployment of smart cages. With their innovations, they aim … ensure they are the right fit for the company and are capable of perform the tasks. Qualifications, Skills and Key Competencies: Must Have: Education & Experience: Bachelor's degree in Computer Science, Engineering, or a related field with 1+ years of professional software engineering experience. OR Master's degree with 6+ months of industry experience. Technical Skills: Proficiency in Python … Other : Ability to work in California's timezone (PST/MST overlap required). Ability to commit to a 3-month contract . Bonus Skills: Experience with DevOps, PyTorch, Computer Vision, SQL, and AWS . Application Disclaimer: Please Read Before Proceeding To ensure a fair and efficient hiring process, all applications must meet the mandatory requirements listed in More ❯

Monitor online discourse to identify misinformation and distorted narratives beyond basic sentiment analysis. Design, develop, and test an initial prototype of AI and ML predictive engine and computer vision system according to the requirement of the project. Review current workflows in the company and specify the functional requirements to integrate the new system. Investigation and implementation of prototype … work that the post holder will initially be required to undertake. They may be changed from time to time to meet changing circumstances. Key Requirements MSc or PhD in Computer Science, Data Science, AI or a similar discipline, or equivalent experience. Experience and knowledge of best practice in data storage, processing, and handling. Knowledge/interest in data science … machine learning algorithms, and computer vision. Experience of handling and manipulating large and complex data. Experience of developing and deploying predictive systems in cloud and in-house servers. Java/Python programming for frontend and backend development including experience in managing cloud. Ability to lead a complex project with competing deadlines and priorities. Excellent command of written and spoken More ❯

in the BioTech space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models across LLMs, NLP and Computer Vision Working alongside technical and non-technical stakeholders, creating insights and reports on key findings Driving the latest innovative research in AI, building and deploying core projects onto … their AI driven platforms SKILLS AND EXPERIENCE MSc or PhD in STEM/AI related subject Proficiency in Python, SQL and DevOps & CI/CD Experience in Computer Vision/LLMs/NLP is required Background in HealthTech, BioTech, PharmaTech is a large benefit but otherwise any tech company working on the projects above Excellent communication skills with More ❯

in the BioTech space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models across LLMs, NLP and Computer Vision Working alongside technical and non-technical stakeholders, creating insights and reports on key findings Driving the latest innovative research in AI, building and deploying core projects onto … their AI driven platforms SKILLS AND EXPERIENCE MSc or PhD in STEM/AI related subject Proficiency in Python, SQL and DevOps & CI/CD Experience in Computer Vision/LLMs/NLP is required Background in HealthTech, BioTech, PharmaTech is a large benefit but otherwise any tech company working on the projects above Excellent communication skills with More ❯

Solutions Knowledge : Maintain a firm understanding of all primary Tungsten Automation solutions and offerings AI and ML Capabilities : Leverage AI and machine learning capabilities, including natural language processing (NLP), computer vision, and LLMs, to optimize document processing, data extraction, and decision-making workflows Programming and Development : Apply relevant programming skills (e.g., Python, Java, or .NET) to support solution … Maintain a strong grasp of enterprise security practices (IAM, data encryption, SOC2, GDPR, HIPAA) when integrating AI into regulated industries What You Bring Educational Foundation Bachelor's degree in Computer Science, Information Systems, or a related technical field required Advanced degree preferred Relevant AI/ML certifications are a plus Professional Experience 10+ years proven experience in solution architecture … automation, or a related field, with a focus on enterprise-scale implementations Deep AI expertise with technical understanding of AI/GAI technologies, including LLMs, machine learning, NLP, and computer vision, and their application in business automation Platform knowledge with strong technical knowledge of the TotalAgility platform or similar intelligent automation platforms Integration experience with expertise in using More ❯

of experience in data labeling, imagery interpretation, or geospatial analysis. Experience in data quality assurance and quality checks within a technical, mission-critical, or geospatial operations environment. Familiarity with computer vision frameworks (OpenCV, TensorFlow, PyTorch). Proficiency in reviewing labeled imagery, spatial annotation datasets, or structured data. Strong communication and stakeholder management skills. US Citizenship Active Secret clearance … edge computing Experience with NGA programs, IC data production standards, or government delivery workflows. Working knowledge of data validation using Python, R, SQL, or relevant scripting languages. Experience with computer vision frameworks (OpenCV, TensorFlow, PyTorch). Active Top-Secret clearance with SCI eligibility. More ❯

of experience in data labeling, imagery interpretation, or geospatial analysis. Experience in data quality assurance and quality checks within a technical, mission-critical, or geospatial operations environment. Familiarity with computer vision frameworks (OpenCV, TensorFlow, PyTorch). Proficiency in reviewing labeled imagery, spatial annotation datasets, or structured data. Strong communication and stakeholder management skills. US Citizenship Active Secret clearance … edge computing Experience with NGA programs, IC data production standards, or government delivery workflows. Working knowledge of data validation using Python, R, SQL, or relevant scripting languages. Experience with computer vision frameworks (OpenCV, TensorFlow, PyTorch). Active Top-Secret clearance with SCI eligibility. More ❯

storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on … experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau, Power BI, or similar. Problem-solving mindset: Ability to translate complex technical problems into business solutions. 🌟 It’s a Bonus If You Have: Experience in SaaS, fintech, or software product companies. Knowledge of big data frameworks More ❯

analytics, engineering, or platform Knowledge of artificial intelligence principles and practices, including deploying ML models into production Ability to evaluate algorithm performance Security, Cloud, Software Development, AI and ML, Computer Vision, Deep Learning, or NLP Certification Additional Information: Well-developed software engineering skills, including use of proper development, QA, and production environments, object-oriented programming, version control, and … with cross-functional teams. Proficient in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark). Proficient in SQL. Desired Education: Bachelor's degree in Computer Science, Mathematics, or similar field Desired Experience: 7+ years of overall experience in Data Science & AI. 5+ years of experience with ML Engineering and/or ML Ops. Our More ❯

Document machine learning models, experiments, and deployment processes. Potentially work with large datasets and big data technologies. Optimize machine learning models for performance and efficiency. Qualifications: Master's in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields. Demonstrated … collaboration skills to effectively communicate technical concepts to both technical and non-technical audiences. Preferred Skills: Experience with specific areas of machine learning such as Natural Language Processing (NLP), Computer Vision, or Recommender Systems. Experience with MLOps practices and tools for automating and monitoring machine learning workflows. Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes. More ❯

single-source provider of advanced communications and data technology for business. That means if it's digital, we connect our customers to it from phone systems and hardware to computer networks, application development, managed solutions and more. And we're 100% passionate with designing, implementing, managing and supporting our customers' every need from end to end, so that they … as a passion for solving challenging problems. Responsibilities Essential Functions Model Development: Design, develop, and train machine learning and deep learning models for various applications, including natural language processing, computer vision, predictive analytics, and recommendation systems. Data Handling: Preprocess, analyze, and visualize large datasets to extract actionable insights; collaborate with data engineers to ensure data quality and availability. … knowledge sharing. Compliance & Ethics: Ensure that all AI solutions adhere to ethical guidelines, data privacy standards, and regulatory requirements. Qualifications Required Qualifications Bachelor's or master's degree in Computer Science, Data Science, Machine Learning, or a related field. Proven experience in developing and deploying AI/ML models in a production environment. Proficiency in programming languages such as More ❯

screening and precision oncology. This role is involved at every step of the solution development process, from ideation, design, implementation and deployment. This role strongly contributes to the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and work as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping … with an inclusion mindset and model these behaviors for the organization. Ability to work designated schedule. Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 85% of a typical working day. Ability to travel 5% of working time away from work location, may include overnight/… weekend travel. Minimum Qualifications Ph.D. in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties, or master's degree in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties plus 4 years of experience in lieu of a Ph.D. 3+ years of experience in statistics, computational More ❯

Top Skills & Years of Experience: 3+years in TensorFlow, PyTorch, Keras, or Scikit-learn. 3+ years in microservices. 3+years in SpaCy, NLTK, or Hugging Face's 3+years in Tesseract, Google Vision API, or AWS Textract. 3+years in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools 3+years in RESTful APIs and webhooks 3+years in SQL … SpaCy, NLTK, or Hugging Face's Transformers for text-based document processing. • Knowledge of NLP concepts like intent recognition, entity extraction, and context management. • Strong understanding of neural networks, computer vision, natural language processing, and/or reinforcement learning. • Experience with OCR (Optical Character Recognition) Tesseract, Google Vision API, or AWS Textract. • Proficiency in Dialogflow ES or … on continuous improvement. Skill Descriptions • 3+years in TensorFlow, PyTorch, Keras, or Scikit-learn. • 3+ years in microservices. • 3+years in SpaCy, NLTK, or Hugging Face's • 3+years in Tesseract, Google Vision API, or AWS Textract. • 3+years in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools • 3+years in RESTful APIs and webhooks • 3+years in SQL More ❯

TrueLight, a BOS Innovations company, is hiring an AI Vision Developer to design, train, validate, and deploy computer vision models for industrial quality inspection and robotic guidance projects. This contract position is for an experienced candidate with the ability to start immediately to work on cutting-edge AI for real-world inspection and robotic guidance systems You … ML tech stack, including data storage, compute, and training workflows. Document designs, results, and best practices, and communicate effectively across teams. What you'll bring: Degree in Engineering, AI, Computer Science, Data Science, or a related field. Foundations in machine learning and computer vision. Strong Python skills with frameworks/tools such as PyTorch, TensorFlow, and OpenCV. Knowledge More ❯

Learning algorithms for enterprise applications. - Assist and enable federal customers to build their own applications. - Contribute to the design and implementation of new features. Qualifications: - Master's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields or Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields with one year of relevant work experience. - Excellent … can-do attitude, and seeks to make a difference. - Excellent verbal and written communication. - Ability to obtain a U.S. security clearance preferred. Nice to Have: - MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. - Real passion for developing team-oriented solutions to complex engineering problems. - Thrive in an autonomous, empowering and exciting environment. - Great verbal and … deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services. - Experience with deep learning, natural language processing, computer vision, or reinforcement learning. - Conveys highly technical concepts and information in written form to technical and non-technical audiences. - The ability to work on multiple concurrent projects is More ❯

TrueLight, a BOS Innovations company, is hiring an AI Vision Developer to design, train, validate, and deploy computer vision models for industrial quality inspection and robotic guidance projects. This position is for an early-career role ideal for recent engineering graduates or junior professionals eager to work on cutting-edge AI for real-world inspection and robotic … ML tech stack, including data storage, compute, and training workflows. Document designs, results, and best practices, and communicate effectively across teams. What you'll bring: Degree in Engineering, AI, Computer Science, Data Science, or a related field. Foundations in machine learning and computer vision. Strong Python skills with frameworks/tools such as PyTorch, TensorFlow, and OpenCV. Knowledge More ❯

Experience Strong coding skills in Python, including libraries such as pandas, scikit-learn, TensorFlow, or PyTorch Expert in Python and ML frameworks (PyTorch, TensorFlow, Sklearn), with experience across NLP, computer vision, and LLMs Strong statistical and experimental design background, including A/B testing and causal inference Experience working with SQL and large-scale datasets Excellent communication skills More ❯

Embedded Machine Vision Engineer - Hybrid (Aberdeen) Salary: £70,000 - £80,000 Location: Aberdeen - Hybrid - 3 days from home a week KO2's client, an Aberdeen-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify … anomalies, hazards, and safety risks. This is a rare opportunity to join a company developing cutting-edge embedded vision and AI technology, with the balance of in-office collaboration and home working. You'll spend two days per week at their Aberdeen site, working closely with the engineering team, and three days per week working remotely. The ideal candidate … will be a strong embedded software engineer who has recently moved into AI and machine learning for vision systems, and is eager to continue working in that space. You'll be working on certifiable, fixed AI models (no runtime learning), helping to deliver reliable, reproducible results in safety-critical systems. Key responsibilities: Develop and optimise real-time embedded vision More ❯

Embedded Machine Vision Engineer - Hybrid (Aberdeen) Salary: £70,000 - £80,000 Location: Aberdeen - Hybrid - 3 days from home a week KO2's client, an Aberdeen-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify … anomalies, hazards, and safety risks. This is a rare opportunity to join a company developing cutting-edge embedded vision and AI technology, with the balance of in-office collaboration and home working. You'll spend two days per week at their Aberdeen site, working closely with the engineering team, and three days per week working remotely. The ideal candidate … will be a strong embedded software engineer who has recently moved into AI and machine learning for vision systems, and is eager to continue working in that space. You'll be working on certifiable, fixed AI models (no runtime learning), helping to deliver reliable, reproducible results in safety-critical systems. Key responsibilities: Develop and optimise real-time embedded vision More ❯