226 to 250 of 1,369 Remote Machine Learning Jobs

- position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product … achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python … delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical More ❯

- position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product … achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python … delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical More ❯

technology, and mission-driven impact on the world of sport. The Opportunity: They are now looking for a Senior Applied Researcher/Data Scientist to join a high-performing Machine Learning team that’s building AI solutions at scale for real-world applications in sports. You'll apply state-of-the-art techniques in computer … vision and deep learning to solve complex challenges, deliver meaningful insights, and shape the next generation of sports technology. What You’ll Do: Design, build, and deploy scalable ML systems used in live sports scenarios across 40+ sports and thousands of events globally. Collaborate closely with engineers and data scientists to develop end-to-end solutions that deliver real … in computer vision and machine learning, especially in areas like: Multi-object tracking Event detection Multi-view geometry Deep learning-based video analysis Proven experience bringing ML products from concept to production at scale. Excellent communication skills with the ability to explain technical concepts clearly to cross-functional teams. Have experience leading projects from a technical perspective. More ❯

technology, and mission-driven impact on the world of sport. The Opportunity: They are now looking for a Senior Applied Researcher/Data Scientist to join a high-performing Machine Learning team that’s building AI solutions at scale for real-world applications in sports. You'll apply state-of-the-art techniques in computer … vision and deep learning to solve complex challenges, deliver meaningful insights, and shape the next generation of sports technology. What You’ll Do: Design, build, and deploy scalable ML systems used in live sports scenarios across 40+ sports and thousands of events globally. Collaborate closely with engineers and data scientists to develop end-to-end solutions that deliver real … in computer vision and machine learning, especially in areas like: Multi-object tracking Event detection Multi-view geometry Deep learning-based video analysis Proven experience bringing ML products from concept to production at scale. Excellent communication skills with the ability to explain technical concepts clearly to cross-functional teams. Have experience leading projects from a technical perspective. More ❯

technology, and mission-driven impact on the world of sport. The Opportunity: They are now looking for a Senior Applied Researcher/Data Scientist to join a high-performing Machine Learning team that’s building AI solutions at scale for real-world applications in sports. You'll apply state-of-the-art techniques in computer … vision and deep learning to solve complex challenges, deliver meaningful insights, and shape the next generation of sports technology. What You’ll Do: Design, build, and deploy scalable ML systems used in live sports scenarios across 40+ sports and thousands of events globally. Collaborate closely with engineers and data scientists to develop end-to-end solutions that deliver real … in computer vision and machine learning, especially in areas like: Multi-object tracking Event detection Multi-view geometry Deep learning-based video analysis Proven experience bringing ML products from concept to production at scale. Excellent communication skills with the ability to explain technical concepts clearly to cross-functional teams. Have experience leading projects from a technical perspective. More ❯

technology, and mission-driven impact on the world of sport. The Opportunity: They are now looking for a Senior Applied Researcher/Data Scientist to join a high-performing Machine Learning team that’s building AI solutions at scale for real-world applications in sports. You'll apply state-of-the-art techniques in computer … vision and deep learning to solve complex challenges, deliver meaningful insights, and shape the next generation of sports technology. What You’ll Do: Design, build, and deploy scalable ML systems used in live sports scenarios across 40+ sports and thousands of events globally. Collaborate closely with engineers and data scientists to develop end-to-end solutions that deliver real … in computer vision and machine learning, especially in areas like: Multi-object tracking Event detection Multi-view geometry Deep learning-based video analysis Proven experience bringing ML products from concept to production at scale. Excellent communication skills with the ability to explain technical concepts clearly to cross-functional teams. Have experience leading projects from a technical perspective. More ❯

flexibility while being actively involved in the London office. Key Responsibilities Analyze large, structured and unstructured datasets to identify patterns and trends. Develop, validate, and deploy predictive models using machine learning and statistical techniques. Translate business requirements into technical solutions and actionable insights. Collaborate with business stakeholders, data engineers, and analysts to support analytics initiatives. Create dashboards, reports … communicate insights to non-technical stakeholders. Ensure data quality, integrity, and security throughout the analytics lifecycle. Keep up-to-date with the latest developments in data science, AI, and machine learning. Required Skills & Experience Proven experience as a Data Scientist or in a similar role. Strong programming skills in Python, R, or SQL . Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch . Solid understanding of statistics, predictive modeling, and data mining techniques. Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Strong problem-solving, analytical, and communication skills. Preferred Qualifications MSc or PhD in More ❯

non-technical stakeholders Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus … a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building and deploying APIs More ❯

non-technical stakeholders Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus … a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building and deploying APIs More ❯

non-technical stakeholders Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus … a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building and deploying APIs More ❯

non-technical stakeholders Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus … a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building and deploying APIs More ❯

non-technical stakeholders Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus … a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building and deploying APIs More ❯

Software Engineer (React and Python) About the Opportunity You will be joining an elite founding engineering team that includes the world’s number one authority in Multi Agent Reinforcement Learning, seasoned Meta Product leaders, and one of the only people in the UK who has trained a trillion token language model from scratch. This role is based in London … pivotal role in shaping and scaling the technology platform from the ground up. You will work alongside leading researchers and product strategists at the intersection of cutting edge reinforcement learning and large scale foundational models. You will enjoy a rare opportunity to influence direction, architecture and go to market execution, with both immediate impact and long term upside via … strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive end to end ownership from ideation to More ❯

Software Engineer (React and Python) About the Opportunity You will be joining an elite founding engineering team that includes the world’s number one authority in Multi Agent Reinforcement Learning, seasoned Meta Product leaders, and one of the only people in the UK who has trained a trillion token language model from scratch. This role is based in London … pivotal role in shaping and scaling the technology platform from the ground up. You will work alongside leading researchers and product strategists at the intersection of cutting edge reinforcement learning and large scale foundational models. You will enjoy a rare opportunity to influence direction, architecture and go to market execution, with both immediate impact and long term upside via … strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive end to end ownership from ideation to More ❯

Software Engineer (React and Python) About the Opportunity You will be joining an elite founding engineering team that includes the world’s number one authority in Multi Agent Reinforcement Learning, seasoned Meta Product leaders, and one of the only people in the UK who has trained a trillion token language model from scratch. This role is based in London … pivotal role in shaping and scaling the technology platform from the ground up. You will work alongside leading researchers and product strategists at the intersection of cutting edge reinforcement learning and large scale foundational models. You will enjoy a rare opportunity to influence direction, architecture and go to market execution, with both immediate impact and long term upside via … strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive end to end ownership from ideation to More ❯

Software Engineer (React and Python) About the Opportunity You will be joining an elite founding engineering team that includes the world’s number one authority in Multi Agent Reinforcement Learning, seasoned Meta Product leaders, and one of the only people in the UK who has trained a trillion token language model from scratch. This role is based in London … pivotal role in shaping and scaling the technology platform from the ground up. You will work alongside leading researchers and product strategists at the intersection of cutting edge reinforcement learning and large scale foundational models. You will enjoy a rare opportunity to influence direction, architecture and go to market execution, with both immediate impact and long term upside via … strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive end to end ownership from ideation to More ❯

Software Engineer (React and Python) About the Opportunity You will be joining an elite founding engineering team that includes the world’s number one authority in Multi Agent Reinforcement Learning, seasoned Meta Product leaders, and one of the only people in the UK who has trained a trillion token language model from scratch. This role is based in London … pivotal role in shaping and scaling the technology platform from the ground up. You will work alongside leading researchers and product strategists at the intersection of cutting edge reinforcement learning and large scale foundational models. You will enjoy a rare opportunity to influence direction, architecture and go to market execution, with both immediate impact and long term upside via … strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive end to end ownership from ideation to More ❯

conversational AI and virtual agent capabilities, contributing to organizational growth through creative technical solutions. Architect and develop: maintain, enhance, and evolve our Virtual Agents engine, applying advanced AI/ML concepts to solve extremely complex problems in natural language understanding and generation. Drive technical vision: shape and deliver our roadmap toward Agentic AI, translating cutting-edge research into practical and … this is not a hard requirement as we recognise there are many diverse paths into software careers. 7+ years of software engineering experience with demonstrated expertise in AI/ML systems (advanced degrees may reduce requirement by 2 4 years). Deep expertise in conversational AI, NLP, and dialogue systems with a proven track record of delivering production systems. Strong … governance and responsible AI practices. Interest in emerging areas, such as tool-using AI agents and autonomous decision-making systems. Experience with cloud platforms (particularly AWS) and AI/ML technologies. Experience with vector databases and retrieval-augmented generation (RAG). Contributions to open-source AI projects, research publications, or patents in AI/ML. Benefits: Flexible work schedules and More ❯

conversational AI and virtual agent capabilities, contributing to organizational growth through creative technical solutions. Architect and develop: maintain, enhance, and evolve our Virtual Agents engine, applying advanced AI/ML concepts to solve extremely complex problems in natural language understanding and generation. Drive technical vision: shape and deliver our roadmap toward Agentic AI, translating cutting-edge research into practical and … this is not a hard requirement as we recognise there are many diverse paths into software careers. 7+ years of software engineering experience with demonstrated expertise in AI/ML systems (advanced degrees may reduce requirement by 2 4 years). Deep expertise in conversational AI, NLP, and dialogue systems with a proven track record of delivering production systems. Strong … governance and responsible AI practices. Interest in emerging areas, such as tool-using AI agents and autonomous decision-making systems. Experience with cloud platforms (particularly AWS) and AI/ML technologies. Experience with vector databases and retrieval-augmented generation (RAG). Contributions to open-source AI projects, research publications, or patents in AI/ML. Benefits: Flexible work schedules and More ❯

ll be solving real-world problems from day one — not just writing code in the corner. We’re looking for an ambitious Software Developer who loves tackling technical challenges, learning fast, and working with smart, supportive engineers. This is a rapidly scaling company which invests in careers — ideal for someone who wants to grow as a Software Engineer, Machine Learning Developer, or Full-Stack Engineer role within 12–24 months. What You’ll Do Design and build high-performance software used by thousands of users daily Develop clean, efficient, and scalable code in Python, C++ or JavaScript Collaborate with engineers, data scientists, and product teams on exciting new features Contribute to technical discussions and see your ideas … from a top-ranked university Strong coding ability in at least one of: Python, C++, Java, or JavaScript Curiosity and problem-solving mindset — you love figuring things out Comfortable learning new technologies quickly Bonus: experience with Git, SQL, or personal projects you can show off Why You’ll Love It Here Impact: You’ll write code that ships — not More ❯

issues and faults across manufacturing, logistics, car build, and race days. Innovation around finding patterns and relationships between faults and issues will be key, by using data, analytics, and machine learning to deliver world championship reliability tools. Role Dimensions The Software & Data Science group in McLaren F1 is responsible for the analysis, design, and delivery of software tools … and methodologies which improve the team and car's performance. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focused platforms and solutions. In reliability engineering, you will understand issue tracking and management, root cause analysis, integrating with other systems through API's, and will have experience in … and adaptable, detail orientated, and get satisfaction from delivering to a high standard. Able to work autonomously under pressure and to tight deadlines. You recognise the importance of continuous learning and sharing that knowledge with others. Approachable, with balanced judgment and a high level of personal integrity. What can McLaren offer? We constantly strive to be better tomorrow than More ❯

issues and faults across manufacturing, logistics, car build, and race days. Innovation around finding patterns and relationships between faults and issues will be key, by using data, analytics, and machine learning to deliver world championship reliability tools. Role Dimensions: The Software & Data Science group in McLaren F1 is responsible for the analysis, design, and delivery of software tools … and methodologies which improve the team and car’s performance. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focused platforms and solutions. In reliability engineering, you will understand issue tracking and management, root cause analysis, integrating with other systems through API’s, and will have experience in … and adaptable, detail orientated, and get satisfaction from delivering to a high standard. Able to work autonomously under pressure and to tight deadlines. You recognise the importance of continuous learning and sharing that knowledge with others. Approachable, with balanced judgment and a high level of personal integrity. What can McLaren offer? We constantly strive to be better tomorrow than More ❯

be solving real-world problems from day one — not just writing code in the corner. We’re looking for an ambitious Graduate Software Developer who loves tackling technical challenges, learning fast, and working with smart, supportive engineers. This is a genuine launchpad for your career in tech — ideal for someone who wants to grow into a Software Engineer, Machine Learning Developer, or Full-Stack Engineer role within 12–24 months. What You’ll Do Design and build high-performance software used by thousands of users daily Develop clean, efficient, and scalable code in Python, C++ or JavaScript Collaborate with engineers, data scientists, and product teams on exciting new features Contribute to technical discussions and see your ideas … Science, Engineering, Physics, Maths, etc.) Strong coding ability in at least one of: Python, C++, Java, or JavaScript Curiosity and problem-solving mindset — you love figuring things out Comfortable learning new technologies quickly Bonus: experience with Git, SQL, or personal projects you can show off Why You’ll Love It Here Impact: You’ll write code that ships — not More ❯

the end of the day, we're all about helping our users, growing as engineers, and having fun in a collaborative environment. Are you passionate about leveraging AI/ML to transform digital advertising? As the lead Product Manager for Ad Creative Intelligence, you'll join a high-impact team dedicated to optimizing ads creative content selection, customization, and advertiser … rates (CTR), conversion rates (CCR), and optimizing the performance of Yelp's advertising platform. We're looking for a strategic thinker, advertising creative guru and hands-on builder with ML experience who thrives in a fast-paced environment. If you're excited by the challenge of scaling AI-powered creative optimization then join our team. This opportunity requires you to … and inclusive culture that reflects Yelp's values. Product Roadmap Ownership: Lead the vision, strategy, and execution for the ACI team, ensuring alignment with business goals and advertiser needs. ML-Driven Creative Optimization: Define and prioritize features that leverage machine learning and generative AI to optimize ad creative selection and asset creation. Cross-Functional Leadership: Drive collaboration with More ❯

Salary: .000 € per year Requirements: Excellent communication skills in German and English Extensive practical experience with AI projects in an enterprise environment Knowledge of data science, AI Ops/ML Ops Experience in consulting, pre-sales, and conducting workshops Experience in leading teams of cloud engineers and architects Experience in software development with standard programming languages and methods (e.g., Python … companies and managing customer projects from conception to approval • Earning the trust of customers and colleagues who value your opinion Architecture and design: • Designing AI systems that encompass classical machine learning, LLMs, and agent-based AI • Designing and implementing business-critical applications, platforms, and workflows Concept and quality standards: • Developing and defining quality standards during the implementation of … Working with new technologies and services alongside established industry standards Technologies: AI API AWS Ansible Architect Azure CI/CD Cloud Databricks DevSecOps DevOps Grafana Helm Support Kibana Kubernetes Machine Learning Prometheus Python Security Terraform Web microservices More: AI Architect Germany - Remote (Within Location) • Full-Time • Engineering Join Nordcloud and be part of the European cloud revolution. We More ❯