301 to 325 of 2,241 Remote Data Science Jobs

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. About the Team The Fitch Group's AI Implementation Chapter is seeking a … initiatives, ensuring the integration of ML solutions into existing workflows by collaborating with product squads and business stakeholders Develop robust, production-quality software artifacts using Python and large-scale data workflow orchestration platforms (e.g., Airflow), while managing team resources & timelines Leverage expertise in cloud computing platforms (AWS and Azure) to build and optimize AI infrastructure Champion ML governance, ensuring More ❯

capabilities. With a focus on applied machine learning, generative AI, and cloud-native tools, this is an opportunity to shape the future of the product and how they use data to solve real-world challenges. What You'll Be Doing: AI/ML Project Ownership Lead the delivery of machine learning initiatives from exploration through to deployment and monitoring. … Own the full development cycle for ML systems — including architecture, data pipelines, model training, and production deployment. Cross-functional Collaboration Work closely with Product, Engineering, and DevOps teams to embed intelligent features into our platform. Ensure smooth end-to-end integration of AI/ML functionality within broader product development efforts. Technical Leadership Define best practices for MLOps, model … growth of others through coaching, peer programming, and technical reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Contribute to internal documentation and knowledge sharing resources. Refine and 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 ❯

diffusion models Analyze large datasets to uncover patterns, insights, and opportunities for machine learning applications Optimize and fine-tune models for performance, scalability, and accuracy Build and maintain scalable data pipelines for model training and deployment Provide technical guidance and mentorship to junior data scientists and engineers Communicate complex technical concepts and results to non-technical stakeholders in … 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 … AWS, Azure, Google Cloud) and MLops tools for model deployment and management Excellent problem-solving skills with a strong ability to identify and troubleshoot issues in model performance and data quality Effective communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences Ability to work independently as well as collaboratively in 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 ❯

and improving in everything they do. We support our clients with incubation services, offering ready-made capabilities supported by smart, execution-focused practitioners. The Role Are you passionate about data and transforming raw information into valuable insights? We’re seeking a talented Fabric/Data Consultant with expertise in Azure and Power BI to join our dynamic team. … This role suits someone who enjoys working with advanced technology, developing robust data architectures, and leading strategic business intelligence initiatives. If you're excited about unlocking the full potential of data for organizations, we want to hear from you. Proven experience in data engineering, with exposure to Azure Synapse, Azure Data Factory, or Databricks. Familiarity with … Microsoft Fabric or a strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming, especially for data manipulation and engineering. A genuine interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication More ❯

and innovating in everything they do. We support clients with incubation services, offering out-of-the-box capabilities backed by smart, execution-focused practitioners. The Role Are you a data enthusiast passionate about transforming raw data into meaningful insights? We’re seeking a talented Fabric/Data Consultant with expertise in Azure and Power BI to join … our dynamic team. This role suits someone who enjoys working with advanced technology, developing robust data architectures, and leading strategic business intelligence initiatives. If you are excited about helping organizations unlock their data's full potential, we want to hear from you. Proven experience in data engineering with exposure to Azure Synapse, Azure Data Factory, or … Databricks. Familiarity with Microsoft Fabric or a strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent More ❯

the organization, fostering continuous improvement and innovation. We support clients with incubation services, providing out-of-the-box capabilities backed by skilled practitioners. The Role Are you passionate about data and transforming raw information into meaningful insights? We’re seeking a talented Fabric/Data Consultant with expertise in Azure and Power BI to join our dynamic team. … This role suits someone who enjoys working with advanced technology, developing robust data architectures, and leading strategic business intelligence initiatives. If you’re excited about unlocking data’s full potential for organizations, we want to hear from you. Proven experience in data engineering with exposure to Azure Synapse, Azure Data Factory, or Databricks. Familiarity with Microsoft … Fabric or a strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills, with a passion for optimizing workflows. Excellent communication and teamwork skills More ❯

week ago Be among the first 25 applicants LIFE AS A SATALIAN As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in industry. Satalia, a VML Enterprise Solutions company, is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your … performing colleagues. Role type: Full time Location: London, UK (Remote) Preferred start date: ASAP Job: AI Consultant LIFE AS A SATALIAN As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in industry. Satalia, a VML Enterprise Solutions company, is a community of individuals devoted to working on … Armed with deep technical fluency, you translate these problem statements into detailed solution roadmaps-prioritising quick-win pilots alongside scalable, long-term deployments. You then coordinate cross-functional teams-data scientists, engineers, and product specialists-to architect, deploy, and operationalise bespoke AI-driven workflows that deliver measurable ROI within months. Throughout delivery, you maintain hands-on oversight, navigating integration 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 ❯

high-performing, and secure. Key Responsibilities Depending on your experience level, your role will include: Senior Developer Collaborate with traders and researchers to build high-performance trading systems Design data pipelines and ingest financial data from diverse sources Build monitoring and dashboard tools for real-time system health Increase test coverage and automate build/deployment workflows Provide … and/or Python) Strong background in hedge fund, asset management, or financial markets Solid DevOps skills: CI/CD, containerisation, source control (e.g. Git) ETL experience with financial data (including tick data) SQL and database systems knowledge Familiarity with cloud (Azure ideal, others acceptable) Excellent communication skills - confident with stakeholders and leadership What You'll Get A … ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: roberthalf.com/gb/en/privacy-notice. LNKD1_UKTJ Seniority level Seniority level Mid-Senior level Employment type Employment type Temporary Job function Job function Engineering and Information More ❯

Competitive Join our team at Cooper Moss Rutland as a Project Control Manager (Power B.I), where you'll leverage cutting-edge Controls Analytics solutions to empower clients in making data-driven decisions for effective project control and performance management. You'll develop and manage insightful dashboards and reports, monitor key performance indicators, and present actionable insights to stakeholders. Your … schedule, and risk performance. Monitor key project performance indicators and identify trends, deviations, and improvement opportunities. Present clear and actionable insights to stakeholders to enable effective project control decisions. Data Modelling & Analysis: Develop predictive analytics models to assess potential project outcomes based on current data and trends. Conduct root-cause analyses of project variances and propose mitigation strategies … to support project continuity. Risk & Performance Management: Collaborate with the risk management team to incorporate data-driven risk models into the controls process. Quantify and integrate risk impacts into forecasts and contingency planning to provide a holistic view of project performance. Stakeholder Engagement: Work closely with project teams to understand requirements and deliver tailored analytics solutions. Communicate complex analytics More ❯

Competitive Join our team at Cooper Moss Rutland as a Project Control Manager (Power B.I), where you'll leverage cutting-edge Controls Analytics solutions to empower clients in making data-driven decisions for effective project control and performance management. You'll develop and manage insightful dashboards and reports, monitor key performance indicators, and present actionable insights to stakeholders. Your … schedule, and risk performance. Monitor key project performance indicators and identify trends, deviations, and improvement opportunities. Present clear and actionable insights to stakeholders to enable effective project control decisions. Data Modelling & Analysis: Develop predictive analytics models to assess potential project outcomes based on current data and trends. Conduct root-cause analyses of project variances and propose mitigation strategies … to support project continuity. Risk & Performance Management: Collaborate with the risk management team to incorporate data-driven risk models into the controls process. Quantify and integrate risk impacts into forecasts and contingency planning to provide a holistic view of project performance. Stakeholder Engagement: Work closely with project teams to understand requirements and deliver tailored analytics solutions. Communicate complex analytics More ❯

of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a … Linux and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies. We are working to create the world's best open source data platform, covering traditional SQL databases and today's NoSQL data stores, as well as … the machinery which turns data into insights and executable models. The people who love this role are MLOps engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are solutions architects who like to solve customer problems through architecture, presentations and training. This role is highly focused on designing ML architectures for external customers. It More ❯

datasets to prepare them for model training and evaluation. • Develop APIs and services to integrate ML models and AI features into broader software systems. • Collaborate closely with product managers, data scientists, and other engineers to define requirements, design solutions, and deliver high-quality features. • Implement MLOps practices for model versioning, deployment, monitoring, and lifecycle management. • Write clean, maintainable, well … engineering trends and technologies. • Troubleshoot and debug issues across the software stack, including ML model performance problems. 3. ROLE REQUIREMENTS, QUALIFICATIONS AND EXPERIENCE • MSc/PhD degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field, or equivalent practical experience. • Professional software development experience using languages such as Python, C, Julia, C++, or similar. • Strong proficiency in … Solid understanding of core machine learning concepts • Hands-on experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch, Keras). • Proven understanding of software engineering principles, data structures, algorithms, and design patterns. • Experience with version control systems (e.g., Git). • Excellent problem-solving and analytical skills. • Strong communication and collaboration skills. 4. ADDITIONAL DETAILS Please note More ❯

banking processes and workflows to identify opportunities for automation and AI integration, including Gen AI, LLM, and RAG technologies. Automation & AI Integration · Work closely with technical teams, architects, and data scientists to design and implement automation solutions using tools such as Power Automate, Power Apps, and AI platforms. · Support the development and deployment of Generative AI applications (e.g., chatbots … Excellent communication, analytical, and problem-solving skills. · Experience with tools like JIRA, Confluence, or similar project management/documentation platforms. Preferred Qualifications: · Bachelor’s degree in business administration, Computer Science, Finance, or related field. · Prior experience working on AI/ML-driven projects in banking or financial services. · Knowledge of cloud AI/ML platforms such as AWS, Azure More ❯

Kitman Labs is a global human performance company, disrupting and transforming the way the sports industry uses data to increase the performance of the world's top athletes. Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry’s top data scientists, sports performance … and analytics platform. This critical project involves rearchitecting our existing system to leverage a modern reporting paradigm and introduce technologies that will allow us to scale reporting to large data sets (300 million data points per customer). As a senior engineer, you will play a key role in designing scalable data pipelines, implementing pre-calculation strategies … a blend of deep technical expertise, strategic vision, and hands-on engineering skills to ensure the successful delivery of this architecture transformation. You’ll collaborate with product managers, engineers, data engineers, data scientists and stakeholders to create a robust, high-performing solution that meets our customers’ evolving reporting needs. What you'll be responsible for Driving Architectural Design More ❯

Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: from £70,000 depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they want: great value insurance with an excellent service. … prompt design, through development and testing, to deployment, production, monitoring and continuous improvement optimising cutting-edge AI solutions across the business. One day you might be collaborating with our Data Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You … emphasising automation, version control, and continuous integration. Develop and maintain automated frameworks for testing, validation, and monitoring of AI model accuracy, performance, and reliability. Establish best practices for AI data pipeline development and integration with infrastructure to support scalable deployment. Collaborate closely with Data Scientists, Data Engineers, Software Developers, and Architects for seamless execution of AI initiatives More ❯

Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: from £70,000 depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they want: great value insurance with an excellent service. … prompt design, through development and testing, to deployment, production, monitoring and continuous improvement optimising cutting-edge AI solutions across the business. One day you might be collaborating with our Data Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You … emphasising automation, version control, and continuous integration. Develop and maintain automated frameworks for testing, validation, and monitoring of AI model accuracy, performance, and reliability. Establish best practices for AI data pipeline development and integration with infrastructure to support scalable deployment. Collaborate closely with Data Scientists, Data Engineers, Software Developers, and Architects for seamless execution of AI initiatives More ❯

re seeking a seasoned Senior Full-Stack Engineer to join our fully-remote global team. You'll play a pivotal role in designing, developing, and deploying scalable web applications, data pipelines, and APIs that integrate or report on advanced machine learning models. Collaborating closely with cross-functional teams, you'll help shape the future of ad tech through pub … tech by building systems that are both robust and innovative. 🔧 Responsibilities Architect and develop end-to-end web and data applications and APIs using modern frameworks and technologies. Collaborate with data scientists and product managers to translate business requirements into technical solutions. Support and collaborate closely with the operations team to ensure system reliability, observability, and streamlined deployments More ❯

re seeking a seasoned Senior Full-Stack Engineer to join our fully-remote global team. You'll play a pivotal role in designing, developing, and deploying scalable web applications, data pipelines, and APIs that integrate or report on advanced machine learning models. Collaborating closely with cross-functional teams, you'll help shape the future of ad tech through pub … tech by building systems that are both robust and innovative. 🔧 Responsibilities Architect and develop end-to-end web and data applications and APIs using modern frameworks and technologies. Collaborate with data scientists and product managers to translate business requirements into technical solutions. Support and collaborate closely with the operations team to ensure system reliability, observability, and streamlined deployments More ❯

effectively aligned with business objectives, driving product innovation and value. As a Senior Applied Scientist, you will: Own and manage end-to-end model development, guiding others in research, data engineering, and evaluation. Operate in an agile way, pushing for quick iterations guided by customers’ needs. Be accountable for all research deliverables on small to medium-sized projects. Work … to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading … weeks ago Research Scientist - AI Agent (Contractor) London, England, United Kingdom 1 year ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago Data Scientist in the Coronary Research Group London, England, United Kingdom 4 weeks ago London, England, United Kingdom 3 weeks ago Research Scientist Intern, Language Generative AI London, England, United Kingdom More ❯

Responsibilities Develop and Maintain: Design, develop, and maintain front-end and back-end components of our web applications. Collaborate: Work closely with UX/UI designers, product managers, and data scientists to create seamless user experiences. API Integration: Develop and integrate APIs to connect front-end interfaces with back-end services. Code Quality: Write clean, maintainable, and efficient code More ❯

Data Science Manager Remote Working - UK Home-based, occasional travel into the office Negotiable to £66,197 (National) or Negotiable to £71,869 (London within the M25) Plus £7000 for exceptional candidates + home working allowance of £581 per annum Job Ref: J12946 Please note we can only accept applications from those with current UK working rights for … this role, this client cannot offer visa sponsorship. A new and exciting opportunity has arisen for a Data Science Manager with proven experience of managing, mentoring and upskilling Data Scientists. Collaborating cross-functionally, the role will focus on the delivery of Data Science and AI programmes across the organisation, driving Data Quality, Data Governance and Best Practice. Proven and demonstratable experience of Python coding, clouding computing as well as leading data science teams to deliver data science projects is essential. You'll have fantastic communication and influencing skills to lead both technical and non-technical stakeholders of all levels through the delivery process. Key Responsibilities: Lead the delivery More ❯