7 of 7 Apache Airflow Jobs in Oxfordshire

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 ❯

spatial datasets (MasterMap, AddressBase, Land Registry). Desired: Experience with WMS/WFS services, graph theory (NetworkX), GDAL, and Snowflake. Nice to have: CI/CD and orchestration tools (Airflow, Argo CD), Mapbox/MapLibre, Scala, Streamlit, DuckDB, and Power BI. What you need to do now If you're interested in this role, click 'apply now' to forward More ❯

Databricks experience, including Unity Catalog. Strong skills in Python, Spark, SQL and experience with SQL databases. Terraform experience for cloud infrastructure as code. Experience with Azure and workflow tools (Airflow, ADF). Excellent problem-solving ability, communication skills, and attention to detail. Experience across Waterfall and Agile methodologies. Curious, inclusive, and committed to continuous learning. To apply for this More ❯

Databricks experience, including Unity Catalog. Strong skills in Python, Spark, SQL and experience with SQL databases. Terraform experience for cloud infrastructure as code. Experience with Azure and workflow tools (Airflow, ADF). Excellent problem-solving ability, communication skills, and attention to detail. Experience across Waterfall and Agile methodologies. Curious, inclusive, and committed to continuous learning. To apply for this More ❯

self-organising, fast-paced environment. Nice-to-Have Skills: ·Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). ·Familiarity with data orchestration tools (e.g., Airflow). ·Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). ·Exposure to CI/CD pipelines, ideally using GitLab CI. ·Background working with More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that … Our client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI More ❯

to support model adoption and scale. In this role, you will: Build robust ML and MLOps pipelines for scalable, reproducible model development, deployment, and monitoring. Use tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management. Work within an agile development environment and help prioritise high-value opportunities for rapid delivery. Essential … a STEM field Strong Python development skills Hands-on experience developing ML and/or deep learning models for scientific or engineering problems Experience with MLOps tools such as Airflow, MLflow, and containerisation (e.g., Docker) Strong data-visualisation and storytelling skills Interest in materials discovery, computer vision, big data, or optimisation Collaborative communicator, organised, proactive, and curious Desired Skills More ❯