1 to 25 of 360 Remote Computer Vision Jobs

to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits: Degree in Computer Science, Engineering, Mathematics, or equivalent experience. Experience with building high quality Data Science models to solve a client's business problems Experience with managing stakeholders and collaborating with customers … e.g., DevOps pipelines, GitHub Actions). Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles). Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling. Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps. Familiarity with Agile methodologies, preferably More ❯

to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits: Degree in Computer Science, Engineering, Mathematics, or equivalent experience. Experience with building high quality Data Science models to solve a client's business problems Experience with managing stakeholders and collaborating with customers … e.g., DevOps pipelines, Git actions). Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles). Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling. Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps. Familiarity with Agile methodologies, preferably More ❯

clients to understand their business needs and translate them into technical requirements Design, develop, and deploy machine learning and generative AI models, including but not limited to NLP models, computer vision models, and reinforcement learning systems Conduct research and stay updated on the latest advancements in AI and machine learning technologies, particularly in generative models such as GANs … plans, progress reports, and final presentations Participate in client meetings and workshops to showcase AI capabilities and provide thought leadership on AI strategies Requirements Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field Proven experience (3+ years) in machine learning and generative AI, with a strong portfolio of projects involving models like GANs More ❯

version control, and code optimization. Excellent communication and collaboration skills, with the ability to interact effectively with both technical teams and business stakeholders. Bachelor’s degree in machine learning, computer science, data science, applied mathematics, or a related field (Master’s or higher is strongly preferred). What Would Make You Stand Out A track record of successfully leading … Engineer for Game Technology London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 months ago London, England, United Kingdom 1 week ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 months ago Data Scientist (Applied Machine Learning) London, England, United Kingdom 1 month ago London More ❯

features for optimal model performance, leveraging domain understanding. Machine Learning & Statistical Modelling Implement both classical ML methods (regression, clustering, time-series forecasting) and advanced algorithms (XGBoost, LightGBM). Address computer vision, NLP, and generative tasks using PyTorch, TensorFlow, or Transformer-based models. Model Deployment & MLOps Integrate CI/CD pipelines for ML models using platforms like MLflow, Kubeflow More ❯

systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelor's degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer or in a similar role (minimum 1 year ) Strong proficiency in Python and popular … understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication, and documentation skills Benefits 100% REMOTE Working with a US company, you will gain access to the US Market Provides career pathways outside More ❯

ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelors degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer or in a similar role (minimum 1 year ) Strong proficiency in Python and popular … understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication, and documentation skills Benefits 100% REMOTE Working with a US company, you will gain access to the US Market Provides career pathways outside 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 … 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 master’s 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 ❯

problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly Excellent collaboration and communication skills — with teams and customers alike MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: Scientific computing; High-performance computing … GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; C/C++ for computer vision, geometry processing, or scientific computing; software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps); container-ization and orchestration (Docker, Kubernetes, Slurm 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 ❯

Lead the integration of Large Language Models (LLMs) for natural language processing of intelligence data Develop robust APIs and microservices that handle real-time threat analysis at scale Implement computer vision systems for image and video analysis in OSINT investigations Build and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/… Terraform, CloudFormation) Expertise in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of AI safety, bias detection, and ethical AI practices Familiarity with computer vision and NLP techniques for OSINT Understanding of adversarial AI and security implications Proven track record of leading complex technical projects Ability to make architectural decisions that scale … Strong communication skills to explain complex AI concepts to non-technical stakeholders Experience mentoring engineers in AI/ML best practices Required and Preferred Education and Experience Degree in Computer Science, AI/ML, or equivalent experience 8+ years of software engineering experience with 3+ years focused on AI/ML systems Proven experience shipping production AI systems at More ❯

Lead the integration of Large Language Models (LLMs) for natural language processing of intelligence data Develop robust APIs and microservices that handle real-time threat analysis at scale Implement computer vision systems for image and video analysis in OSINT investigations Build and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/… Terraform, CloudFormation) Expertise in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of AI safety, bias detection, and ethical AI practices Familiarity with computer vision and NLP techniques for OSINT Understanding of adversarial AI and security implications Proven track record of leading complex technical projects Ability to make architectural decisions that scale … Strong communication skills to explain complex AI concepts to non-technical stakeholders Experience mentoring engineers in AI/ML best practices Required and Preferred Education and Experience Degree in Computer Science, AI/ML, or equivalent experience 8+ years of software engineering experience with 3+ years focused on AI/ML systems Proven experience shipping production AI systems at More ❯

impact solutions. DOD 8570 IAT Level II Certification may be required (GSEC, GICSP, CND, CySA+, Security+ CE, SSCP or CCNA-Security). Advanced proficiency in Python, SQL, PySpark, MLOps, computer vision, and NLP, Databricks, AWS, Data Connections Cluster Training and tools such as GitLab, with proven success in architecting complex AI/ML pipelines. Demonstrated ability to write … the physical or mental requirements necessary for the job's performance. Reasonable accommodation may be made to enable individuals with disabilities to perform essential job functions: Prolonged periods of computer desk work. Dexterity of hands and fingers to operate a computer keyboard and other computer components. Speaking and hearing are sufficient to converse and understand conversations, both More ❯

skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills — with teams and customers alike. Minimum Requirements MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: Scientific computing; High-performance computing … GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; C/C++ for computer vision, geometry processing, or scientific computing; software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps); container-ization and orchestration (Docker, Kubernetes, Slurm More ❯

what unites us is a desire to learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, Natural Language Processing and Deep Learning. Our Data Scientists are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, designing and … your models are robust, maintainable, and optimised for performance. Comfortable with PyTorch Knowledge of Transformer-based models Knowledge of Large Language Models (LLMs) Proven experience of having delivered successful Computer Vision or LLM projects into production Strong understanding of software development fundamentals, in particular deploying models to production and how to set up pipelines. Demonstrate expertise in deep … learning for computer vision, natural language processing, reinforcement learning etc. Displays in depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation Strong fundamentals in Mathematics, Statistics and Data Analysis Experience working in an Agile environment and knowledge of how Agile methodologies can be applied to Data Science teams in terms of process More ❯

lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to work on a … motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant … and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading 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 ❯

for AI-driven solutions. Design, develop, and deploy AI models and algorithms tailored to client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and pre-processing to prepare datasets for AI model training. Implement AI models into production environments and optimize their performance. Monitor and evaluate AI models … Azure (preferred), AWS, or Google Cloud. ✅ Good knowledge of optimization techniques and design patterns for large data solutions. ✅ A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science (nice to have!) What’s in It for You? 🌟 Flexible remote working, must be UK based. 🌟 Work on cutting-edge AI projects with top-tier clients 🌟 Professional development More ❯

Neurolabs is looking for a talented Senior Machine Learning Engineer to join our team. As an ML Engineer at Neurolabs, you will be responsible for developing, implementing, and optimizing Computer Vision models that empower our retail automation solutions. Your expertise will play a crucial role in transforming images into structured data and driving product enhancements that meet our … client's needs. We are committed to democratising Computer Vision in the retail space, and your contributions will directly influence the impact of our solutions across various sectors. Responsibilities Model Development: Design, build, and deploy Large Vision Models (LVMs) for applications focused on enhancing customer experience, workforce efficiencies, and product performance Data Preparation: Collaborate with data engineers … model architectures and hyperparameters to improve performance throughput while maintaining efficiency Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and platform engineers, to deliver integrated Computer Vision solutions Performance Monitoring: Monitor live models and performance metrics, troubleshoot issues, and implement updates as necessary to ensure optimal performance Continuous Learning: Stay updated with the latest More ❯

Required Skills and Qualifications MSc or PhD in Computer Science, Data Science, Machine Learning, or a related field. 3+ years of experience in developing machine learning solutions. Strong proficiency in Python and libraries such as TensorFlow, PyTorch, scikit-learn, XGBoost. Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Solid understanding of ML lifecycle: data … with version control (Git), CI/CD pipelines, and software engineering best practices. Fluent in English; knowledge of French or Dutch is a plus. Desirable Qualifications Experience in NLP, computer vision, time-series, or recommender systems. Knowledge of data privacy and ethical AI frameworks (e.g., GDPR compliance). Experience with big data frameworks (Spark, Hadoop). Previous experience More ❯

and maximize their marketing towards optimal growth. In this role, you will be responsible for combining these otherwise disconnected datasets, and with the help of advanced machine learning, NLP & Computer Vision techniques, help uncover new consumer insights allowing our clients to gain knowledge and insights on consumer behaviour. You will play a key role in standardizing our AI … market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform data (both structured and unstructured) for analysis · 4+ years of experience in applying ML … some recognised AI and software leaders. · Experience in working with large datasets (> 1TB) · Able to implement production level coding practices, including unit testing and documentation · Proven experience building NLP & Computer Vision products with an engaged customer base · Experience researching and implementing latest scientific literature on NLP/CV and ML · Experience building prototypes and experiments to validate technical More ❯

and maximize their marketing towards optimal growth. In this role, you will be responsible for combining these otherwise disconnected datasets, and with the help of advanced machine learning, NLP & Computer Vision techniques, help uncover new consumer insights allowing our clients to gain knowledge and insights on consumer behaviour. You will play a key role in standardizing our AI … market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform data (both structured and unstructured) for analysis · 4+ years of experience in applying ML … some recognised AI and software leaders. · Experience in working with large datasets (> 1TB) · Able to implement production level coding practices, including unit testing and documentation · Proven experience building NLP & Computer Vision products with an engaged customer base · Experience researching and implementing latest scientific literature on NLP/CV and ML · Experience building prototypes and experiments to validate technical More ❯

and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … software engineering principles Desirable: UK DV Clearance or the ability to obtain it A degree or similar in a STEM, Data, AI or a Programming related subject (such as Computer Science, Physics, Mathematics, Artificial Intelligence) is preferable Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks … into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in other languages This is not an exhaustive list, and we are keen to hear from you even if you don More ❯

and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … software engineering principles Desirable: UK DV Clearance or the ability to obtain it A degree or similar in a STEM, Data, AI or a Programming related subject (such as Computer Science, Physics, Mathematics, Artificial Intelligence) is preferable Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks … into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in other languages This is not an exhaustive list, and we are keen to hear from you even if you don More ❯

and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … software engineering principles Desirable: UK DV Clearance or the ability to obtain it A degree or similar in a STEM, Data, AI or a Programming related subject (such as Computer Science, Physics, Mathematics, Artificial Intelligence) is preferable Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks … into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in other languages This is not an exhaustive list, and we are keen to hear from you even if you don More ❯