15 of 15 Apache Airflow Jobs in the Thames Valley

data cataloging and metadata management using tools like AWS Glue Data Catalog. Demonstrated self-sufficiency in exploring new tools, troubleshooting issues, and continuously improving processes. Hands-on experience with Apache Airflow for orchestrating complex data workflows and ensuring reliable execution. Understanding of cloud security and governance practices including IAM, KMS, and data access policies. Experience with monitoring and More ❯

e.g., Git), and strong problem-solving skills are vital. The ability to communicate technical concepts clearly to non-technical stakeholders is also important. Experience with orchestration tools such as Airflow, knowledge of Python or other scripting languages, and familiarity with data governance and security best practices are desirable. Exposure to agile development environments, performance tuning of data queries, and More ❯

and managing cloud infrastructure as code Proficiency in programming languages such as Python, Spark, SQL Strong experience with SQL databases Expertise in data pipeline and workflow management tools (e.g., Apache Airflow, ADF) Experience with cloud platforms (Azure preferred) and related data services Excellent problem-solving skills and attention to detail Inclusive and curious, continuously seeks to build knowledge More ❯

and managing cloud infrastructure as code Proficiency in programming languages such as Python, Spark, SQL Strong experience with SQL databases Expertise in data pipeline and workflow management tools (e.g., Apache Airflow, ADF) Experience with cloud platforms (Azure preferred) and related data services Excellent problem-solving skills and attention to detail Inclusive and curious, continuously seeks to build knowledge More ❯

development efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong More ❯

large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration tooling (e.g. Airflow or Google Workflows). Experience with AI/ML powered applications. Experience with Docker or containerized applications. Why GSK? Uniting science, technology and talent to get ahead of disease More ❯

network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience More ❯

optimisation. This is an ideal role for someone looking to hit the ground running, work on complex challenges with autonomy. Role Requirements: Exceptional ability with tools such as Python, Airflow, SQL, and at least one Cloud provider Experience forecasting, customer, and propensity models Experience with building machine learning models and deploying at scale 2:1 or above in Mathematics More ❯

development lifecycles, cloud technologies and modern engineering practices. ● Experience with the following technologies: o Cloud Provider: AWS o Languages: Python, PHP, Rust & SQL o Hosting: Kubernetes o Tooling & Analytics: Airflow, RabbitMQ, Apache Spark, PowerBI ● Proven ability to complete projects according to outlined scope, budget, and timeline ● Experience with industry standard tools such as Microsoft products, Jira, confluence, project More ❯

development lifecycles, cloud technologies and modern engineering practices. ● Experience with the following technologies: o Cloud Provider: AWS o Languages: Python, PHP, Rust & SQL o Hosting: Kubernetes o Tooling & Analytics: Airflow, RabbitMQ, Apache Spark, PowerBI ● Proven ability to complete projects according to outlined scope, budget, and timeline ● Experience with industry standard tools such as Microsoft products, Jira, confluence, project More ❯

colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation tools (we use Preset.io/Apache Superset). Exposure to CI/CD pipelines (GitLab CI preferred). Experience More ❯

Collaborate with ML researchers and biologists to translate raw data into actionable insights and high-quality training data Scale distributed systems using Kubernetes, Terraform, and orchestration tools such as Airflow, Flyte, or Temporal Write clean, extensible, and well-tested code to ensure long-term maintainability and collaboration across teams About You We are looking for data and platform engineers … Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity More ❯

management disciplines, including data integration, modeling, optimisation, data quality and Master Data Management. Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB). Knowledge in Apache technologies such as Spark, Kafka and Airflow to build scalable and efficient data pipelines. Have worked on migration projects and some experience with management systems such as SAP More ❯

the development of internal ML platforms, and help identify high-impact opportunities for rapid capability delivery. You'll also be responsible for building robust MLOps pipelines using tools like Airflow and MLflow, ensuring scalable and automated model deployment and governance. What you'll need to succeed Essential Skills: * Bachelor's degree (2:1 or above) in science, engineering, mathematics … or computer science * Strong Python development skills * Practical experience with machine learning or deep learning in scientific/engineering contexts * Familiarity with MLOps tools and practices (Airflow, MLflow) and containerisation (e.g., Docker) * Passion for working with real-world datasets and data visualisation * Interest in material discovery, computer vision, big data, and optimisation techniques * Excellent communication and collaboration skills * Problem More ❯

*Senior Machine Learning Scientist* R021025 London, England, United Kingdom Regular Location Details: London, United Kingdom At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they More ❯