151 to 175 of 2,571 Remote/Hybrid Machine Learning Jobs

home improvement.This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will … experience our products, services and decision making across our retail brands.You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues ...

Location London Employment Type Full time Location Type Hybrid Department Research Voleon is a technology company that applies state‐of‐the‐art AI and machine learning techniques … real‐world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion‐dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts ...

Ireland, Germany, Portugal, Spain or The NetherlandsAbout the teamThe AI Engineering team builds the systems and capabilities behind Typeform’s products.We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways.The team owns … will design, build, and operate the systems behind our AI products.Your work will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale.This is a hands on engineering role with strong ownership. You will ...

deliver impact how and where it matters most.Connect to your opportunity We are seeking committed new talent to join our multidisciplinary Data Science and Machine Learning team, with a focus on our clients in the Defence and Security sector. Our goal is to work together with our clients … will involve working with key stakeholders to identify opportunities and requirements for data and AI projects, helping apply structured data analysis, data science, and machine learning techniques to enable actionable business insights, and promoting user adoption of the developed data tools and products.In your role, you will have ...

deliver impact how and where it matters most.Connect to your opportunity We are seeking committed new talent to join our multidisciplinary Data Science and Machine Learning team, with a focus on our clients in the Defence and Security sector. Our goal is to work together with our clients … will involve working with key stakeholders to identify opportunities and requirements for data and AI projects, helping apply structured data analysis, data science, and machine learning techniques to enable actionable business insights, and promoting user adoption of the developed data tools and products.In your role, you will have ...

deliver impact how and where it matters most.Connect to your opportunity We are seeking committed new talent to join our multidisciplinary Data Science and Machine Learning team, with a focus on our clients in the Defence and Security sector. Our goal is to work together with our clients … will involve working with key stakeholders to identify opportunities and requirements for data and AI projects, helping apply structured data analysis, data science, and machine learning techniques to enable actionable business insights, and promoting user adoption of the developed data tools and products.In your role, you will have ...

deliver impact how and where it matters most.Connect to your opportunity We are seeking committed new talent to join our multidisciplinary Data Science and Machine Learning team, with a focus on our clients in the Defence and Security sector. Our goal is to work together with our clients … will involve working with key stakeholders to identify opportunities and requirements for data and AI projects, helping apply structured data analysis, data science, and machine learning techniques to enable actionable business insights, and promoting user adoption of the developed data tools and products.In your role, you will have ...

titles, including Woodoku, Woodoku Blast, Solitaire, and TripleTile. Our best-in-class data-driven approach spans the entire lifecycle from publishing to machine learning puzzle levels, helping us make fast, smart decisions at every stage of development.We are also one of the largest IAA operators worldwide. Tripledot Games … experimentation and A/B testing across a sophisticated internal platform. As the platform evolves, the role will expand into more advanced statistical and machine learning work that delivers value across the business.Key ResponsibilitiesDefine statistical logic, calculation methods, and detailed requirements for experimentation platform features.Prototype statistical methodologies ...

titles, including Woodoku, Woodoku Blast, Solitaire, and TripleTile. Our best-in-class data-driven approach spans the entire lifecycle from publishing to machine learning puzzle levels, helping us make fast, smart decisions at every stage of development. We are also one of the largest IAA operators worldwide. Tripledot … experimentation and A/B testing across a sophisticated internal platform. As the platform evolves, the role will expand into more advanced statistical and machine learning work that delivers value across the business. Key Responsibilities Define statistical logic, calculation methods, and detailed requirements for experimentation platform features. Prototype ...

manages the dispute lifecycle and integrates with card schemes, alongside the front-end experiences merchants use to track and respond to disputes and the machine learning models that predict outcomes and recommend the best action on every case. We're building for scale, and that scale brings ambiguity … record of driving growth within large, complex, regulated organisations. Key Responsibilities Lead a team centred on a .NET back end, with front-end and machine learning components, helping engineers establish and validate their understanding of technical architecture and design end-user-centric systems and tools. Own predictable, high ...

relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the roleWe are excited to be hiring a new Data Scientist into our team! Lendable … heart of this USP, developing the credit risk models to underwrite loan and credit card products.You will have access to the latest machine learning techniques combined with a rich data repository to deliver best in market risk models. This role will primarily focus on our US unsecured loans ...

relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the roleWe are excited to be hiring a new Data Scientist into our team! Lendable … heart of this USP, developing the credit risk models to underwrite loan and credit card products. You will have access to the latest machine learning techniques combined with a rich data repository to deliver best in market risk models. This role will primarily focus on our US unsecured ...

understanding today's threat landscape, identifying gaps in Falcon's detection capabilities, and helping improve CrowdStrike's protection through threat research, automation, AI, and machine learning.Working closely with Threat Research, Engineering, Data Science, and Red Team teams, you'll investigate emerging threats, validate detection coverage, and translate technical research … newly discovered threats by performing technical investigations and recommending the best approach for detection and prevention.Partner with Threat Research, Engineering, Red Team, and Machine Learning teams to translate research into product improvements.Help design and improve automation that reduces manual effort and accelerates threat analysis.Communicate technical findings clearly ...

including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years. AWS Neuron is the complete … architectures, which may include CPU, NPU, GPU and other forms of compute. Key job responsibilities This engineer will lead the design and implementation of ML infrastructure platform, building systems for capacity management, workload scheduling, and fleet orchestration across ML accelerators. They will work with ML scientists, training infrastructure engineers, hardware ...

support the development of more efficient and sustainable turbomachinery technologies.This is an exciting opportunity to contribute to research at the intersection of AI, machine learning, CFD and turbomachinery, working with academic and industrial collaborators to develop innovative approaches to engineering design. The postholder will work with Dr Teng … Thermofluids Division of the Department of Mechanical Engineering.What you would be doingUndertake research in AI-enabled turbomachinery design, CFD and machine learning.Develop and apply machine learning-based design frameworks for turbomachinery applications.Conduct numerical simulations and analyse turbomachinery performance.Prepare and process data for machine learning ...

Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms {+ 4 more}SummaryLocation: London (The Westworks)Type: Full time ...

Title: ML Scientist (Molecular AI) Location: London (Hybrid) Salary: Up to £100,000 DOE A well-funded life science technology company is looking for an exceptional Machine Learning Scientist to develop next-generation AI methods for molecular and protein discovery. This is a research role with real engineering … proximity. You will develop novel ML methods for molecules, proteins, and biological systems, working closely with engineers to translate new ideas into practical tools that accelerate scientific discovery. The team values strong scientific contributions and a genuine track record of research impact. What we are looking for PhD in Machine ...

strategy across Search, Homepage and Recommendations, defining how machine learning models balance relevance, personalisation, diversity, freshness and marketplace objectives. Partner closely with ML Engineering, Applied Science and platform teams to continuously improve the quality, scalability and sophistication of our ranking systems. Set vision and strategy Define a clear … experimentation and marketplace analysis to make informed product decisions, balancing short‐term performance with long‐term capability building. Drive high‐quality execution Partner with ML Engineers, Applied Scientists and Software Engineers to deliver production‐quality improvements to ranking systems. Collaborate closely with Search, Recommendations and Experience teams to ensure ranking ...

multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python … with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development ...

multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python … with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development ...

multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python … with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development ...

multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python … with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development ...

multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python … with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development ...

multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python … with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development ...

multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python … with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development ...