226 to 250 of 2,731 Remote Data Science Jobs

Join to apply for the Senior Data Analyst role at Relay Technologies Join to apply for the Senior Data Analyst role at Relay Technologies Get AI-powered advice on this job and more exclusive features. Continue with Google Continue with Google Company Mission In the future, commerce will be instant, local, and seamless. What we now call "e … to power their UK expansion. We're growing at a top 0.01% among all European Series A startups. About The Role As a highly operational business, we rely on data to guide everything we do. We are a high-impact data team that works on everything from operations research to optimise thousands of parcel deliveries daily, to detailed … business metrics that drive our expansion and investment decisions — and everything in between. We’re currently hiring four Senior Data Analysts, each focused on a high-impact domain as we more than 10x our volume in the coming year: open roles cover scaling our Middle Mile & Pitstop Networks, optimising Last Mile Quality, shaping our expansion and client strategy, and More ❯

play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Our Data Science Analytics and Enablement (DSAE) team inspires PlayStation to make impactful, customer centric decisions through flawless integration of data. Currently there are over 100 people in the global … DSAE team, including data science, data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products, insight, predictive analytics, and data visualisation. Overview: Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods such as customer … in-depth understanding of consumer behaviours and supports multi-channel targeting and personalization. What you will be doing: You'll join a London-based agile team building and supporting data science products that drive business impact across PlayStation. You'll collaborate closely with other data scientists, engineers, and product managers to serve teams such as marketing, operations More ❯

and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for an Experienced CRM Data Scientist to join our team in London! Salary Range: £60.000 - £70.000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist … with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that will drive our business strategies and enhance customer engagement. We are building a new real-time CRM platform, and this is … Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to More ❯

Machine Learning Engineer to join our Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse, extract and generate knowledge from complex biomedical data such as experimental protocols and from results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented in unstructured text and knowledge graphs. … is at the core of this challenge as it ensures we can reason over and gain insights from an extensive, accurate, and high quality representation of biomedical data. The data will be leveraged in order to enrich BenchSci’s knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses, and other ML techniques. You … will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser focused on value delivery in a fail-fast More ❯

Machine Learning, Data Science, MLOps, Software Development, Python, Javascript, Financial Data Who are we? Moneyhub empowers financial services firms with complete, detailed, and real-time insight into their customers' financial needs and status, enabling them to take informed actions. Our highly categorized, data-enriched analytics allow clients to craft personalized customer journeys, leading to enhanced engagement … optimized acquisition and servicing costs, and increased conversion rates. Machine Learning, Data Science, MLOps, Software Development, Python, Javascript, Financial Data Who are we? Moneyhub empowers financial services firms with complete, detailed, and real-time insight into their customers' financial needs and status, enabling them to take informed actions. Our highly categorized, data-enriched analytics allow clients … office set-up High spec laptop Holiday purchase Requirements Sounds interesting! What will you be doing? As a Machine Learning Engineer at Moneyhub, you'll bridge the gap between data science and software engineering. You'll be responsible for developing production-ready data solutions that solve real user problems—focusing on delivering working code rather than just More ❯

The Vacancy Let us tell you a bit about the opportunity We're investing in our Data capabilities and have a newly created opportunity for an experienced ML Ops Engineer to join our Data Delivery Team. As a ML Ops Engineer within our Chief Data Office, you'll play a key role in taking our data … technology strategy to the next level by enabling our cloud services for use across all our business use cases. In this specialist role you'll work closely with both data delivery and data science teams to enable AWS and Azure environments as required by the various programmes. You'll support with the setup, maintenance and enhancement of … data lab environments and the enablement of new tooling for data science and other use cases. You'll also be empowered to support in the automated deployment and maintenance of data science and other cloud native functionality through dev to production environments What will your day look like? • Design and Deliver cloud based platforms on More ❯

a real impact! About the Role This is an exciting opportunity to join our expanding Product Team. As a Senior Tuning & Analytics Manager at GSS you will lead key data science initiatives and client-facing projects that are intended to optimize the GSS solution across large and complex data sets. The ideal candidate will be a highly … good communicator and have experience working in payments. What you'll do Key responsibilities of the role include (but not be limited to): Leading the delivery of client-facing data analytics projects, from project definition and mobilisation, through to delivery, reporting and acceptance Acting as key point of contact between GSS and its clients Leading teams of data analysts Building a good understanding of the GSS solution, configuration options and impact of configuration changes Undertaking data analysis, in Python and SQL, to identify patterns in data to tune the GSS solution Creating client-facing reports as part of project delivery and close Presenting GSS methodologies and project updates to senior stakeholders Optimizing processes and methodologies More ❯

a real impact! About The Role This is an exciting opportunity to join our expanding Product Team. As a Senior Tuning & Analytics Manager at GSS you will lead key data science initiatives and client-facing projects that are intended to optimize the GSS solution across large and complex data sets. The ideal candidate will be a highly … good communicator and have experience working in payments. What You’ll Do Key responsibilities of the role include (but not be limited to): Leading the delivery of client-facing data analytics projects, from project definition and mobilisation, through to delivery, reporting and acceptance Acting as key point of contact between GSS and its clients Leading teams of data analysts Building a good understanding of the GSS solution, configuration options and impact of configuration changes Undertaking data analysis, in Python and SQL, to identify patterns in data to tune the GSS solution Creating client-facing reports as part of project delivery and close Presenting GSS methodologies and project updates to senior stakeholders Optimizing processes and methodologies More ❯

s why good things happen when you meerkat. We’d love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and a wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will identify the tech requirements to productionise automated, scalable and … makes you great for this role. Some of the great things you’ll be doing: Develop, maintain, monitor (health & performance) and optimise integrated Machine Learning products. Work closely with Data Engineering, Platform and Architecture teams to improve and develop new products, integrations, tools and technologies. Work with data scientists to productionise various ML models, ensuring the code follows … Follow best practices for the management and interrogation of large scale ‘structured’ and ‘unstructured’ datasets (million+ rows with thousand+ features, policy documents, etc). Enable the collection of new data and the refinement of existing data sources. Help manage day to day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated More ❯

s why good things happen when you meerkat. We’d love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and a wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will identify the tech requirements to productionise automated, scalable and … makes you great for this role. Some of the great things you’ll be doing: Develop, maintain, monitor (health & performance) and optimise integrated Machine Learning products. Work closely with Data Engineering, Platform and Architecture teams to improve and develop new products, integrations, tools and technologies. Work with data scientists to productionise various ML models, ensuring the code follows … Follow best practices for the management and interrogation of large scale ‘structured’ and ‘unstructured’ datasets (million+ rows with thousand+ features, policy documents, etc). Enable the collection of new data and the refinement of existing data sources. Help manage day to day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated More ❯

Company Description Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team … delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and … ensuring that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages More ❯

and Automotive. We are taking the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic research data scientists to join our research team. If all of this sounds exciting to you, we would love to talk. Note: We are currently recruiting for multiple positions, however please … optimise machine learning models with a focus on scalability and efficiency in our application domain Transform prototype model implementations to robust and optimised implementations Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research … scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success Own Research work-streams at different levels, depending on seniority Discuss the results and More ❯

join our AI and Architecture team, contributing to the design, development, and deployment of cutting-edge machine learning systems. In this role, you’ll work closely with ML scientists, data engineers, and product teams to help bring innovative solutions—such as retrieval-augmented generation (RAG) systems, multi-agent architectures , and AI agent workflows —into production. As a Senior Machine … tuning, parameter-efficient training (e.g., LoRA, PEFT), and distillation. Build evaluation pipelines to benchmark LLM performance and continuously monitor production accuracy and relevance. Work across the ML stack—from data preparation and model training to serving and observability—either independently or in collaboration with other specialists. Optimize model pipelines for latency, scalability, and cost-efficiency, and support real-time … and batch inference needs. Collaborate with MLOps, DevOps, and data engineering teams to ensure reliable model deployment and system integration. Stay informed on current research and emerging tools in LLMs, generative AI, and autonomous agents, and evaluate their practical applicability. Participate in roadmap planning, design reviews, and documentation to ensure robust and maintainable systems. Required Qualifications 5+ years of More ❯

List as one of the fastest-growing companies to launch your career. At causaLens we are building the world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have … a real impact on the most important decisions for the business. Our platform is trusted and used by data science teams in leading organizations and provides real value across a wide variety of industries, and it's only the beginning. Our Mission To radically advance human decision-making. A world in which humans leverage trustworthy AI to solve … Engineering team. This is a full-time placement with significant opportunities for non-linear growth. Your focus will be on designing, implementing and maintaining our multi-tenanted, multi-cloud data science platform. You’ll be responsible for service and API design, backend python implementation, CI/CD rollout and meeting quality standards. Your remit will include multiple aspects More ❯

Lead Machine Learning Engineer, Associate Director based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence … and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets … impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for More ❯

seeking a Senior Machine Learning Engineer based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence … and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets … impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO).Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging More ❯

growing business. Their team of analysts, consultants, software specialists and Defence SMEs work closely with their customers to deliver high-impact services and solutions. They provide software applications and data science capability to support their clients' decision-making processes. As Software Engineer your role will include: Developing high quality software applications for business users. Using agile approaches to … Deploying web applications on cloud platforms such as Azure, AWS, or GCP. Experience with Redhat Openshift Container Platform. Experience with React.js. Proficiency in working with SQL and NoSQL databases. Data science techniques, including discrete event simulation. Advanced MS Excel skills, including VBA. Understanding of the UK MoD and Armed Forces. It is a requirement that the successful candidate More ❯

us build simple, convenient, and delightful financial experiences tailored to our customers. You’ll be joining us within the Business Intelligence team that is primarily responsible for our core data model and dashboards You'll thrive in a unique and varied role, while shaping the way we provide our customer experience Joining Cushon, you’ll help our customers get … comfortable with their finances, and support our vision, being responsible for backend data modelling, ETL, and regulatory reporting We are looking to pay a salary in the region of £45,000 -£52,500 What you'll do In this key role, you’ll contribute to our function’s purpose by helping our colleagues, members and clients to make optimal … decisions efficiently and at scale using data, ML and AI. This comprises our Business Intelligence, Data Engineering and Data Science teams to work together closely. You’ll also be: Designing and documenting our core data models, and implementing them through efficient SQL-based ETL workflows that deliver clean, high-quality data into our data More ❯

summary: We are seeking a Professional Services Consultant to join our consulting practice. This role blends technical depth with strategic consulting, enabling our clients to unlock value from their data by delivering scalable, production-ready ML and analytics solutions. You will build and deliver machine learning and data-driven solutions that create measurable business impact for our enterprise … role not just in delivery, but also in scoping engagements, supporting proposals and SOWs, and contributing to go-to-market activities. Your technical skills in Python, machine learning, and data engineering will be matched by your ability to consult, influence, and communicate clearly with stakeholders. This role is ideal for candidates who thrive at the intersection of technical delivery … Your team: You will be part of the Professional Services team within our Engineering division, a group of hands-on consultants and technical experts who deliver scalable, production-ready data and machine learning solutions to our clients. Responsibilities and tasks: Understand the client requirements and provide strong recommendations for delivering value in a structured way. Lead the presentation to More ❯

a subject matter expert in construction digital twins and AI model development to lead the creation of real-time, multimodal digital twin solutions. This role focuses on integrating diverse data sources including BIM, schedules, reality capture, and field data into cohesive, AI-driven models that enhance project visibility and decision-making. Key responsibilities include developing standardized data schemas, ensuring data connectivity across systems, and building scalable pipelines to support accurate, real-time insights. This position requires expertise in data integration, AI analytics, and digital transformation in the built environment. Based in Toronto with flexibility for remote or hybrid work, this role supports Autodesk's hybrid-first approach. Responsibilities Lead exploration of emerging technologies and … real-time, multimodal construction insights Ensure high-quality, maintainable code through robust documentation, testing, and software development best practices Communicate key findings and recommendations to stakeholders and leadership, enabling data-informed strategic decisions Very advanced expert roles that provide advice relevant to their subject matter expertise to senior leaders Jobs at this level reflect sophisticated subject matter expertise and More ❯

and to help clients realize the objectives they desire. BlackRock manages ~$10+ trillion in assets on behalf of investors worldwide. As such, there is a rich problem space for data scientists and engineers across all areas of the business including investments, sales, marketing, operations, product, UX, etc. and the potential to have large scale impact. In 2018 BlackRock accelerated … innovation and technology again with additional investment in artificial intelligence and data science and all the potential they represent. The AI Labs was formed to act as a central hub with a firm-wide remit to solve strategic business challenges for the firm by bringing to bear our expertise in machine learning, artificial intelligence, data science … with a history of demonstrating machine learning at BlackRock to create alpha, the goal was to apply these same techniques throughout the business. The team has grown to 75+ data scientists and engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, optimization, statistical modeling, signal detection, natural language processing, data visualization More ❯

is 100% free for all UK applicants. Applying through Talent Hero gives you access to global opportunities without navigating the typical hiring grind. You'll work alongside US product, data, and engineering teams to build scalable ML pipelines and turn advanced algorithms into business value. We are looking for Machine Learning Engineers who are technically sharp, production-minded, and … excited to push the boundaries of intelligent systems. Responsibilities Design, build, and deploy machine learning models to solve complex business problems Develop scalable data pipelines for training, testing, and deploying models Collaborate with data scientists, product teams, and software engineers to integrate ML into production Optimize models for speed, accuracy, and efficiency in real-time environments Monitor model … 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 ML More ❯

service is 100% free for all UK applicants. Applying through Talent Hero gives you access to global opportunities without navigating the typical hiring grind. Youll work alongside US product, data, and engineering teams to build scalable ML pipelines and turn advanced algorithms into business value. We are looking for Machine Learning Engineers who are technically sharp, production-minded, and … excited to push the boundaries of intelligent systems. Responsibilities Design, build, and deploy machine learning models to solve complex business problems Develop scalable data pipelines for training, testing, and deploying models Collaborate with data scientists, product teams, and software engineers to integrate ML into production Optimize models for speed, accuracy, and efficiency in real-time environments Monitor model … 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 ML More ❯

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate … the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: You will have the opportunity to work with a tremendous services, engineering, product, and sales team … for self-improvement and possess great communication skills. Our customers' use cases extend across all the Elastic Solutions: Enterprise Search, Observability and Security, and beyond, and the scale of data in their environments ranges from gigabytes to petabytes. This diverse mix of a customer base means the challenges they face that Elastic consultants help them with can often require More ❯

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate … the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: You will have the opportunity to work with a tremendous services, engineering, product, and sales team … for self-improvement and possess great communication skills. Our customers’ use cases extend across all the Elastic Solutions: Enterprise Search, Observability and Security, and beyond, and the scale of data in their environments ranges from gigabytes to petabytes. This diverse mix of a customer base means the challenges they face that Elastic consultants help them with can often require More ❯