601 to 622 of 622 Remote Data Engineering Jobs

the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML … models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing … validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct More ❯

the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML … models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing … validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct More ❯

the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML … models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing … validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct More ❯

the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML … models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing … validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct More ❯

the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML … models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing … validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct More ❯

the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML … models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing … validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct More ❯

the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML … models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing … validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct More ❯

the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML … models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing … validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct More ❯

the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML … models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing … validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct More ❯

Position We re looking for an experienced Data Engineer to join our small, supportive data team. You ll work alongside experienced colleagues who enjoy solving problems together and sharing knowledge. Your expertise will help us build the solid, secure data foundations that power everything we do, making insights accessible, reliable and impactful across the business. What You … ll be Doing Designing, building and maintaining reliable data pipelines with AWS (S3, Redshift, Glue, Lambda, Athena) and Airflow . Building and optimising data models that make insights easy to trust and act on. Working closely with analysts, data scientists, and product teams to turn ideas into practical, scalable solutions. Ensuring data quality, security, and governance … + benefits Hours: Full time (37.5/week) or part time hours considered Requirements What You'll Bring Advanced SQL skills and solid experience with Python for data engineering. Strong hands-on experience with AWS (ideally including S3, Redshift, Glue, Lambda, Athena). You must have practical AWS experience to be considered for this role. Proficiency with Airflow and More ❯

Spotfire Technical Lead/Hands-On Architect (Spotfire to Power BI Migration) Location: Central London & Remote Type: Contract Spotfire Architect with strong data modelling skills to lead and support the migration of complex Spotfire reports to Power BI. The role requires deep technical expertise in Spotfire s visual and scripting frameworks, alongside the ability to reverse-engineer, redesign and … optimize data models for scalable, high-performance reporting in Power BI. This role is critical to navigating functional parity, data transformation and performance alignment between platforms, working closely with business users, report owners and Power BI engineers Experience Developed 20+ reports/dashboards in Spotfire 8+ years of experience in BI & analytics with at least 5 years in … Spotfire (including architecture, scripting, and advanced configurations). Strong experience with data modelling for BI platforms; dimensional modelling, fact/dimension tables, normalisation/denormalisation. Hands-on expertise with IronPython scripting, custom expressions, data functions (TERR/Python/R) and Spotfire APIs. Working knowledge of Power BI report development and differences between Spotfire and Power BI capabilities. More ❯

Spotfire Technical Lead/Hands-On Architect (Spotfire to Power BI Migration) Location: Central London & Remote Type: Contract Spotfire Architect with strong data modelling skills to lead and support the migration of complex Spotfire reports to Power BI. The role requires deep technical expertise in Spotfire s visual and scripting frameworks, alongside the ability to reverse-engineer, redesign and … optimize data models for scalable, high-performance reporting in Power BI. This role is critical to navigating functional parity, data transformation and performance alignment between platforms, working closely with business users, report owners and Power BI engineers Experience Developed 20+ reports/dashboards in Spotfire 8+ years of experience in BI & analytics with at least 5 years in … Spotfire (including architecture, scripting, and advanced configurations). Strong experience with data modelling for BI platforms; dimensional modelling, fact/dimension tables, normalisation/denormalisation. Hands-on expertise with IronPython scripting, custom expressions, data functions (TERR/Python/R) and Spotfire APIs. Working knowledge of Power BI report development and differences between Spotfire and Power BI capabilities. More ❯

Spotfire Technical Lead/Hands-On Architect (Spotfire to Power BI Migration) Location: Central London & Remote Type: Contract Spotfire Architect with strong data modelling skills to lead and support the migration of complex Spotfire reports to Power BI. The role requires deep technical expertise in Spotfire s visual and scripting frameworks, alongside the ability to reverse-engineer, redesign and … optimize data models for scalable, high-performance reporting in Power BI. This role is critical to navigating functional parity, data transformation and performance alignment between platforms, working closely with business users, report owners and Power BI engineers Experience Developed 20+ reports/dashboards in Spotfire 8+ years of experience in BI & analytics with at least 5 years in … Spotfire (including architecture, scripting, and advanced configurations). Strong experience with data modelling for BI platforms; dimensional modelling, fact/dimension tables, normalisation/denormalisation. Hands-on expertise with IronPython scripting, custom expressions, data functions (TERR/Python/R) and Spotfire APIs. Working knowledge of Power BI report development and differences between Spotfire and Power BI capabilities. More ❯

Spotfire Technical Lead/Hands-On Architect (Spotfire to Power BI Migration) Location: Central London & Remote Type: Contract Spotfire Architect with strong data modelling skills to lead and support the migration of complex Spotfire reports to Power BI. The role requires deep technical expertise in Spotfire s visual and scripting frameworks, alongside the ability to reverse-engineer, redesign and … optimize data models for scalable, high-performance reporting in Power BI. This role is critical to navigating functional parity, data transformation and performance alignment between platforms, working closely with business users, report owners and Power BI engineers Experience Developed 20+ reports/dashboards in Spotfire 8+ years of experience in BI & analytics with at least 5 years in … Spotfire (including architecture, scripting, and advanced configurations). Strong experience with data modelling for BI platforms; dimensional modelling, fact/dimension tables, normalisation/denormalisation. Hands-on expertise with IronPython scripting, custom expressions, data functions (TERR/Python/R) and Spotfire APIs. Working knowledge of Power BI report development and differences between Spotfire and Power BI capabilities. More ❯

Spotfire Technical Lead/Hands-On Architect (Spotfire to Power BI Migration) Location: Central London & Remote Type: Contract Spotfire Architect with strong data modelling skills to lead and support the migration of complex Spotfire reports to Power BI. The role requires deep technical expertise in Spotfire s visual and scripting frameworks, alongside the ability to reverse-engineer, redesign and … optimize data models for scalable, high-performance reporting in Power BI. This role is critical to navigating functional parity, data transformation and performance alignment between platforms, working closely with business users, report owners and Power BI engineers Experience Developed 20+ reports/dashboards in Spotfire 8+ years of experience in BI & analytics with at least 5 years in … Spotfire (including architecture, scripting, and advanced configurations). Strong experience with data modelling for BI platforms; dimensional modelling, fact/dimension tables, normalisation/denormalisation. Hands-on expertise with IronPython scripting, custom expressions, data functions (TERR/Python/R) and Spotfire APIs. Working knowledge of Power BI report development and differences between Spotfire and Power BI capabilities. More ❯

world-class platforms. We’re looking for a Lead Forward Deployed Engineer (Palantir) to guide a high-performing team delivering enterprise-scale Foundry solutions. You’ll design and implement data-driven capabilities that enhance strategic and operational decision-making. Key Skills & Experience: Proven experience leading Palantir Foundry or GAIA programmes Strong background in data engineering, architecture, and More ❯

About the roleWe are excited to be hiring a new Data Scientist into our team! Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits at the 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 and credit cards business. Our team's objectives The data science team develops proprietary behavioural models combining state of the art techniques with a variety of data sources that inform market-facing underwriting and pricing decisions, scorecard development, and risk management. Data scientists work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions. We self-serve with all deployment and monitoring, without a separate machine learning engineering team. Design, implement, manage and More ❯

Must hold active eDV/UKIC Clearance Start Date: ASAP We’re seeking a Senior Managing Consultant with enhanced DV Clearance to lead the successful delivery of complex digital, data, and geospatial programmes across the national security community. This role combines hands-on programme leadership with proactive business development and strategic influence. You’ll play a key role in … customer-facing role suited to someone with strong strategic delivery experience, commercial acumen, and a deep understanding of the UK national security landscape. Key Responsibilities Lead and deliver digital, data, and geospatial programmes to time, cost, and quality standards. Act as a business development lead, identifying and shaping early-stage opportunities. Influence and secure workshare within prime-led delivery … contributing to capture planning, solution design, and bid strategy. Represent the organisation in customer and partner engagements, cultivating senior-level relationships. Translate complex mission challenges into actionable propositions leveraging data, AI/ML, and modern software capabilities. Contribute to thought leadership, proposition development, and market positioning activities within the National Security sector. Skills & Experience Essential: Proven track record delivering More ❯

Must hold active eDV/UKIC Clearance Start Date: ASAP We’re seeking a Senior Managing Consultant with enhanced DV Clearance to lead the successful delivery of complex digital, data, and geospatial programmes across the national security community. This role combines hands-on programme leadership with proactive business development and strategic influence. You’ll play a key role in … customer-facing role suited to someone with strong strategic delivery experience, commercial acumen, and a deep understanding of the UK national security landscape. Key Responsibilities Lead and deliver digital, data, and geospatial programmes to time, cost, and quality standards. Act as a business development lead, identifying and shaping early-stage opportunities. Influence and secure workshare within prime-led delivery … contributing to capture planning, solution design, and bid strategy. Represent the organisation in customer and partner engagements, cultivating senior-level relationships. Translate complex mission challenges into actionable propositions leveraging data, AI/ML, and modern software capabilities. Contribute to thought leadership, proposition development, and market positioning activities within the National Security sector. Skills & Experience Essential: Proven track record delivering More ❯

join the team. In this key role within their IT department, youll be responsible for overseeing, maintaining, and securing their backend databases ensuring colleagues have the reliable tools and data they need to deliver exceptional service every day. What Youll Be Doing: High Availability & Disaster Recovery: Configure and maintain high availability solutions such as SQL Server Always On, database … mirroring, and clustering to minimise downtime and ensure business continuity. Develop, test, and manage database backup and recovery procedures to protect data integrity. Performance Optimisation: Identify and resolve performance bottlenecks, optimise queries, and fine-tune system configurations for peak performance. Development & Integration: Support the development of integration solutions between systems and platforms. Contribute to improvements and migrations across both … administrators, analysts, and business stakeholders to ensure reliable, secure, and scalable database solutions. Communicate technical information clearly and effectively. What theyre Looking For: Proven experience in database administration and data engineering. Strong understanding of proactive monitoring, backup and recovery, and high availability solutions. Hands-on experience with ETL tools and processes (e.g. SSIS, Azure Data Factory, Informatica, Talend More ❯

the team. In this key role within their IT department, you’ll be responsible for overseeing, maintaining, and securing their backend databases ensuring colleagues have the reliable tools and data they need to deliver exceptional service every day. What You’ll Be Doing: High Availability & Disaster Recovery: Configure and maintain high availability solutions such as SQL Server Always On … database mirroring, and clustering to minimise downtime and ensure business continuity. Develop, test, and manage database backup and recovery procedures to protect data integrity. Performance Optimisation: Identify and resolve performance bottlenecks, optimise queries, and fine-tune system configurations for peak performance. Development & Integration: Support the development of integration solutions between systems and platforms. Contribute to improvements and migrations across … analysts, and business stakeholders to ensure reliable, secure, and scalable database solutions. Communicate technical information clearly and effectively. What they’re Looking For: Proven experience in database administration and data engineering. Strong understanding of proactive monitoring, backup and recovery, and high availability solutions. Hands-on experience with ETL tools and processes (e.g. SSIS, Azure Data Factory, Informatica, Talend More ❯

the team. In this key role within their IT department, you’ll be responsible for overseeing, maintaining, and securing their backend databases ensuring colleagues have the reliable tools and data they need to deliver exceptional service every day. What You’ll Be Doing: High Availability & Disaster Recovery: Configure and maintain high availability solutions such as SQL Server Always On … database mirroring, and clustering to minimise downtime and ensure business continuity. Develop, test, and manage database backup and recovery procedures to protect data integrity. Performance Optimisation: Identify and resolve performance bottlenecks, optimise queries, and fine-tune system configurations for peak performance. Development & Integration: Support the development of integration solutions between systems and platforms. Contribute to improvements and migrations across … analysts, and business stakeholders to ensure reliable, secure, and scalable database solutions. Communicate technical information clearly and effectively. What they’re Looking For: Proven experience in database administration and data engineering. Strong understanding of proactive monitoring, backup and recovery, and high availability solutions. Hands-on experience with ETL tools and processes (e.g. SSIS, Azure Data Factory, Informatica, Talend More ❯