Banbury, Oxfordshire, United Kingdom Hybrid / WFH Options
Cornwallis Elt Ltd
Strong Databricks experience (including Unity Catalog) Familiarity with Terraform and infrastructure as code A good understanding of Agile delivery and CI/CD practices Experience building data pipelines with Airflow or Azure Data Factory Solid coding skills in Python, Spark, and SQL Great communication and problem-solving skills The ability to mentor, guide, and support other engineers More ❯
and prioritize opportunities to rapidly deliver new capabilities Build and maintain robust MLOps pipelines to support scalable, reproducible, and automated model development, deployment, and monitoring Leverage tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance Essential Skills Bachelor’s degree in science … skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big More ❯
and prioritize opportunities to rapidly deliver new capabilities Build and maintain robust MLOps pipelines to support scalable, reproducible, and automated model development, deployment, and monitoring Leverage tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance Essential Skills Bachelor’s degree in science … skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big More ❯
and prioritize opportunities to rapidly deliver new capabilities Build and maintain robust MLOps pipelines to support scalable, reproducible, and automated model development, deployment, and monitoring Leverage tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance Essential Skills Bachelor’s degree in science … skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big More ❯
oxford district, south east england, united kingdom
Alloyed
and prioritize opportunities to rapidly deliver new capabilities Build and maintain robust MLOps pipelines to support scalable, reproducible, and automated model development, deployment, and monitoring Leverage tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance Essential Skills Bachelor’s degree in science … skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big More ❯
code and testing principles. Develop tools and frameworks for data governance, privacy, and quality monitoring, ensuring full compliance with data protection standards. Create resilient data workflows and automation within Airflow, Databricks, and other modern big data ecosystems. Implement and manage data observability and cataloguing tools (e.g., Monte Carlo, Atlan, DataHub) to enhance visibility and reliability. Partner with ML engineers … deploy, and scale production-grade data platforms and backend systems. Familiarity with data governance frameworks, privacy compliance, and automated data quality checks. Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms. Collaborative mindset and experience working with cross-functional teams including ML and analytics specialists. Curiosity and enthusiasm for continuous learning - you stay up to More ❯
code and testing principles. Develop tools and frameworks for data governance, privacy, and quality monitoring, ensuring full compliance with data protection standards. Create resilient data workflows and automation within Airflow, Databricks, and other modern big data ecosystems. Implement and manage data observability and cataloguing tools (e.g., Monte Carlo, Atlan, DataHub) to enhance visibility and reliability. Partner with ML engineers … deploy, and scale production-grade data platforms and backend systems. Familiarity with data governance frameworks, privacy compliance, and automated data quality checks. Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms. Collaborative mindset and experience working with cross-functional teams including ML and analytics specialists. Curiosity and enthusiasm for continuous learning - you stay up to More ❯
code and testing principles. Develop tools and frameworks for data governance, privacy, and quality monitoring, ensuring full compliance with data protection standards. Create resilient data workflows and automation within Airflow, Databricks, and other modern big data ecosystems. Implement and manage data observability and cataloguing tools (e.g., Monte Carlo, Atlan, DataHub) to enhance visibility and reliability. Partner with ML engineers … deploy, and scale production-grade data platforms and backend systems. Familiarity with data governance frameworks, privacy compliance, and automated data quality checks. Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms. Collaborative mindset and experience working with cross-functional teams including ML and analytics specialists. Curiosity and enthusiasm for continuous learning - you stay up to More ❯
Data & Insight Engineer Salary: £55,000-£60,000 + Share Options + Biannual Bonus Location: Central London (3 days in office) About the Company/Role Fast-growing food-tech scale-up founded by leaders from high-growth consumer brands. More ❯
Data & Insight Engineer Salary: £55,000-£60,000 + Share Options + Biannual Bonus Location: Central London (3 days in office) About the Company/Role Fast-growing food-tech scale-up founded by leaders from high-growth consumer brands. More ❯
Data & Insight Engineer Salary: £55,000-£60,000 + Share Options + Biannual Bonus Location: Central London (3 days in office) About the Company/Role Fast-growing food-tech scale-up founded by leaders from high-growth consumer brands. More ❯
london (city of london), south east england, united kingdom
Harnham
Data & Insight Engineer Salary: £55,000-£60,000 + Share Options + Biannual Bonus Location: Central London (3 days in office) About the Company/Role Fast-growing food-tech scale-up founded by leaders from high-growth consumer brands. More ❯
Data & Insight Engineer Salary: £55,000-£60,000 + Share Options + Biannual Bonus Location: Central London (3 days in office) About the Company/Role Fast-growing food-tech scale-up founded by leaders from high-growth consumer brands. More ❯
Milton Keynes, Buckinghamshire, United Kingdom Hybrid / WFH Options
MRP Technology Ltd
Responsibilities/Skills Develop & Schedule SQL Views via DAGs Design and implement SQL views aligned with business needs, prioritizing clarity, reusability, and efficiency. Build and manage workflow orchestrations (eg, Airflow DAGs) to automate those views, ensuring reliable execution on daily, weekly, or customized schedules. Execute Cross Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to … PostgreSQL. Set up secure connectivity, schedule jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. Monitor, Troubleshoot & Resolve Incidents Continuously oversee ETL workflows in Airflow and AWS Glue, proactively responding to alerts and errors. Conduct root cause analysis for pipeline failures-whether due to schema mismatches or performance bottlenecks-and apply robust fixes. Document More ❯
london, south east england, united kingdom Hybrid / WFH Options
Compare the Market
re Looking For Must Have Practical experience deploying ML models into production environments Strong Python development skills and understanding of ML model structures Familiarity with tools such as MLflow, Airflow, SageMaker, or Vertex AI Understanding of CI/CD concepts and basic infrastructure automation Ability to write well-tested, maintainable, and modular code Strong collaboration skills and a growth … ML delivery Nice to Have Experience working in regulated sectors such as insurance, banking, or financial services Exposure to Databricks, container orchestration (e.g. Kubernetes), or workflow engines (e.g. Argo, Airflow) Familiarity with real-time model deployment, streaming data, or event-driven systems (e.g. Kafka, Flink) Interest in MLOps, model governance, and responsible AI practices Understanding of basic model evaluation More ❯
with full right to work. This role requires a strong blend of technical expertise and project leadership, with a focus on Power BI, Python, SQL/Oracle databases, and Airflow orchestration. Key Responsibilities Develop interactive dashboards and reports using Power BI to support data-driven decision-making. Design, build, and maintain robust ETL pipelines and workflows using Python and … Qualifications & Skills Proven experience developing with Power BI. Strong proficiency in Python for data processing and automation. Solid understanding of SQL and Oracle database systems. Hands-on experience with Airflow for workflow orchestration. Deep knowledge of ETL/ELT processes and data architecture principles. Excellent communication and stakeholder management skills. What you need to do now If you're More ❯
Bristol, Avon, England, United Kingdom Hybrid / WFH Options
Hays Specialist Recruitment Limited
with full right to work. This role requires a strong blend of technical expertise and project leadership, with a focus on Power BI, Python, SQL/Oracle databases, and Airflow orchestration.Key Responsibilities Develop interactive dashboards and reports using Power BI to support data-driven decision-making. Design, build, and maintain robust ETL pipelines and workflows using Python and Airflow. … Qualifications & Skills Proven experience developing with Power BI. Strong proficiency in Python for data processing and automation. Solid understanding of SQL and Oracle database systems. Hands-on experience with Airflow for workflow orchestration. Deep knowledge of ETL/ELT processes and data architecture principles. Excellent communication and stakeholder management skills. What you need to do now If you're More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Hays Business Support
with full right to work. This role requires a strong blend of technical expertise and project leadership, with a focus on Power BI, Python, SQL/Oracle databases, and Airflow orchestration. Key Responsibilities Develop interactive dashboards and reports using Power BI to support data-driven decision-making. Design, build, and maintain robust ETL pipelines and workflows using Python and … Qualifications & Skills Proven experience developing with Power BI. Strong proficiency in Python for data processing and automation. Solid understanding of SQL and Oracle database systems. Hands-on experience with Airflow for workflow orchestration. Deep knowledge of ETL/ELT processes and data architecture principles. Excellent communication and stakeholder management skills. What you need to do now If you're More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Immersum
Job Title: Data Scientist Salary: £65,000-£75,000 + Benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT The Company: Immersum are supporting the continued growth of a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting-edge data … on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to learn and innovate Excellent communication skills, especially when simplifying complex findings for non-technical teams Why Join: Join a mission More ❯
Job Title: Data Scientist Salary: £65,000-£75,000 + Benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT The Company: Immersum are supporting the continued growth of a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting-edge data … on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to learn and innovate Excellent communication skills, especially when simplifying complex findings for non-technical teams Why Join: Join a mission More ❯
london, south east england, united kingdom Hybrid / WFH Options
Immersum
Job Title: Data Scientist Salary: £65,000-£75,000 + Benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT The Company: Immersum are supporting the continued growth of a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting-edge data … on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to learn and innovate Excellent communication skills, especially when simplifying complex findings for non-technical teams Why Join: Join a mission More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Immersum
Job Title: Data Scientist Salary: £65,000-£75,000 + Benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT The Company: Immersum are supporting the continued growth of a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting-edge data … on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to learn and innovate Excellent communication skills, especially when simplifying complex findings for non-technical teams Why Join: Join a mission More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Immersum
Job Title: Data Scientist Salary: £65,000-£75,000 + Benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT The Company: Immersum are supporting the continued growth of a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting-edge data … on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to learn and innovate Excellent communication skills, especially when simplifying complex findings for non-technical teams Why Join: Join a mission More ❯