276 to 300 of 2,197 Remote Data Science Jobs

Role: BI Insights Developer Location: Hybrid (Newport Pagnell and WFH) Salary : £50 - 60K + Employee Benefits Key Skills: Power BI, transform data using SQL, Python, Data analysis, data visualisation, ideally some experience with AI in Analytics, building interactive and dynamic data dashboards. Why Apply: This is a truly great opportunity for someone with a talent for … transforming raw data into interactive and dynamic dashboards to enable valuable insights. Using both conventional and advanced analytics you will be providing a valuable role to our clients enabling them to make data driven decision making. Our Client: Our Client has an impressive story to tell! They are a global consultancy that has enjoyed exponential growth over recent … years and continue to grow organically. Their growing workforce of 1500+ support their international customers to deliver 'Performance Improvement' Consultancy. The Role: You will join a dedicated Insight and Data Analysis team, transforming multiple customers raw data, gathering the necessary data sets and presenting it visually in the form of interactive dashboards for each customer project. Projects More ❯

This is a remote position. We are seeking an experienced BI Developer to join our client's data team. In this role, you will be responsible for designing, developing, and maintaining business intelligence solutions that transform data into actionable insights. You will work closely with stakeholders to understand their analytical needs and deliver high-quality reporting and visualization … solutions. Key Responsibilities: Design and develop BI solutions, including dashboards, reports, and data models using tools such as Power BI, Tableau, or similar Collaborate with business users to gather requirements and translate them into technical specifications Perform data analysis to identify trends, patterns, and insights to support business decisions Ensure data accuracy and integrity through effective data … solutions for performance and usability Provide training and support to end-users on BI tools and reporting processes Stay current with industry trends and best practices in BI and data analytics Required Skills: Proficiency in BI tools (Power BI, Tableau, QlikView) and data visualization techniques Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle, MySQL 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 ❯

Senior Machine Learning Operations Engineer Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: £65,000 - £75,000 - 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 … for our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too! We're big on data: it gives us the insights we need to give the right cover to the right customers at the right price. But it's the people inside and outside our … business that power us and were currently on the hunt for 2 experienced Senior Machine Learning Operation Engineers to join our Data Function. You'll play a significant role within our Data Function, working on the design and implementation of machine learning model engineering frameworks, solutions, and best practices. You'll be technically proficient in machine learning and More ❯

frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with the Data Scientists and Product team to deliver scalable, production-grade ML systems. This is a super exciting time to join the business who after a number of years of great … model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by the Data Scientists Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work Collaborate with the technical pricing, street pricing and product teams to gather requirements and … tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management ● Core Competencies: Model lifecycle: You’ve got hands-on experience with managing the More ❯

frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with the Data Scientists and Product team to deliver scalable, production-grade ML systems. This is a super exciting time to join the business who after a number of years of great … model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by the Data Scientists Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work Collaborate with the technical pricing, street pricing and product teams to gather requirements and … tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management ● Core Competencies: Model lifecycle: You’ve got hands-on experience with managing the More ❯

Senior Machine Learning Operations Engineer Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: £65,000 - £75,000 - 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 … for our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too! We're big on data: it gives us the insights we need to give the right cover to the right customers at the right price. But it's the people inside and outside our … business that power us and were currently on the hunt for 2 experienced Senior Machine Learning Operation Engineers to join our Data Function. You'll play a significant role within our Data Function, working on the design and implementation of machine learning model engineering frameworks, solutions, and best practices. You'll be technically proficient in machine learning and More ❯

cross-project initiatives and activities. Demonstrates an understanding of users' needs and effectively participates in the development and implementation of business solutions. Required Qualifications: Master's degree in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field. Alternatively, a Bachelor of Science plus Master in Business Administration is acceptable. 8+ years of hands-on … experience in software engineering, DevOps, data science, IT and/or other relevant engineering domains 5+ years of successful Project Management experience in leading and managing devops/platform teams in a technology-driven company Expert understanding and knowledge of DevOps & SRE practices and Agile methodologies. Solid experience deploying SaaS solutions in multi-cloud (AWS, Azure, and/… functional teams effectively. Solid organizational and time-management skills, coupled with a keen eye for detail. Exceptional communication with a perfect command of English. Preferred Qualifications: PhD in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field. Experience designing and deploying Infrastructure to support machine learning and data analytics solutions. Experience in data 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 working across the private and public sectors, we focus on Dynamics 365 Business Applications, Power Platform, Azure, Application Modernisation, and Data & Analytics. Our skilled team drives improvements, creating … on AI best practices, ensuring scalable and efficient solutions. Lead teams and projects from requirements to implementation. Identify high-value AI scenarios (Machine Learning and Gen AI). Analyze data using tools like Microsoft Fabric, Azure Databricks, Azure Synapse, and Azure Machine Learning. Implement data pipelines and workflows with Azure ML Pipelines and Azure DevOps. Monitor ML solutions … using Azure ML and Application Insights. Deploy AI solutions following coding, security, and CI/CD best practices. Present findings and recommendations using Power BI, Azure Data Explorer, and Azure AI Services. Key Competencies Experience in data science, machine learning, or related fields. Proficiency in Python, SQL, or similar languages. Experience with Azure or similar cloud platforms More ❯

currently seeking a Machine Learning Engineer based out of our Manchester 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 … Machine Learning Engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning (ML) and Data Science solutions across the Fitch Ratings organization. This position could be based out of our Chicago, London, or Manchester offices. The AI Chapter's team objectives: Implement AI & ML technology in collaboration with Fitch Ratings business partners More ❯

Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: £50,000 - £70,000 - depending on experience Department: Technology and Data We’re First Central Insurance & Technology Group (First Central for short), an innovative, market-leading insurance company. We protect the things customers love so they can get on with what matters to them in life. Data drives … us. It fuels our outstanding distribution, finance, technology and legal services. Our underwriting skills are built on data expertise; it creates the insights we need to give the right cover to the right customers at the right price. But, it’s the people inside and outside our business that power us. They make us stand out, help us succeed. … awards. Are you looking to advance your career in a dynamic and fast-paced environment? We’re seeking an AI & Machine Learning Engineer to join our innovative technology and data teams. Working as an AI & Machine Learning Engineer you’ll be responsible for understanding and answering complex business questions using advanced data and analytics techniques. You’ll be 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 ❯

currently seeking a 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 ❯

currently seeking a Machine Learning Engineer based out of our Manchester 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 ❯

Join to apply for the Technical Support Engineer role at Tecton Join to apply for the Technical Support Engineer role at Tecton At Tecton, we solve the complex data problems in production machine learning. Tecton’s feature platform makes it simple to activate data for smarter models and predictions, abstracting away the complex engineering to speed up innovation. … Tecton, candidates must possess a minimum of 3-5 years of technical support experience in the software or technology industry, ideally coupled with a bachelor's degree in Computer Science or a related field. Demonstrated proficiency in troubleshooting complex technical issues, strong communication and analytical skills, and a proactive, solution-oriented attitude are essential. Technical expertise in software applications … programming languages like Python, and SQL for data querying and manipulation is required, with experience in cloud computing concepts (AWS, Azure, Google Cloud Platform) being highly advantageous. We set a high bar for excellence and seek candidates committed to exceeding customer satisfaction targets, continuous learning, and making a meaningful impact in shaping the future of MLOps at Tecton. Qualifications More ❯

most pressing challenges, from combating climate change to developing vaccines and new treatments for diseases yet their tools are still poor. Our AI powered software platform, Lumi, automates operational data capture, insights and processes in labs, augmenting scientists so they can focus on the more creative aspects of their work. Lumi is versatile and is being applied across a … wide range of life science industries, including in biotech and pharma. We are a startup where the early team have a strong background in various frontier technologies and a deep love for making science better. We’ve already shipped a first version of the Lumi platform and we’ve received excellent feedback from early customers. We have very … make an impact! Your impact As a Senior AI Engineer at Reach Industries, you will be responsible for developing and implementing state-of-the-art AI models for visual data analysis and inference. Working collaboratively with cross-functional teams, your focus will be on understanding business requirements and designing optimal AI solutions. Develop and deploy AI models for visual 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 ❯

Lead Machine Learning Engineer, Associate Director based out of our Manchester 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 ❯

frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with our Data Scientists, Actuaries, and Product team to deliver scalable, production-grade ML systems. Key Responsibilities Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims … cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by our Data Scientists and Actuaries Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work Collaborate with the technical pricing, street pricing and product teams to gather requirements and feedback on tooling and to build impactful technology Communicate complex concepts to … technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science or a related field Experience: Proven experience in ML model lifecycle management Core Competencies: Model lifecycle: You’ve got hands-on experience with managing the ML model lifecycle, including both online and batch processes More ❯

product capabilities. With a focus on applied machine learning, generative AI, and cloud- 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. Documentation & Continuous Improvement Contribute to internal documentation and knowledge sharing 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. 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 ❯