5 of 5 Databricks Jobs in West Sussex

best practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

overall AI strategy. Key Requirements Strong experience in Python development, with JavaScript skills Hands-on experience with Generative AI platforms (OpenAI, Anthropic, Databricks, etc.) Experience leading code reviews, setting standards, and guiding solution architecture Track record of working in travel or retail sectors Excellent collaboration and communication skills, able ...

PyTorch/TensorFlow and Hugging Face for NLP/LLM-assisted analytics is a plus. Data wrangling and querying (SQL); familiarity with Spark/Databricks or similar distributed data tools is desirable. Visualisation and storytelling: Matplotlib/Seaborn/Plotly; experience with BI tools (Power BI/Tableau) is desirable. … Experience with large-scale data initiatives, labelling strategies, and data quality management. Familiarity with MLOps practices and cloud platforms for analytics/ML (e.g., Databricks, Azure ML, SageMaker). Contributions to open-source projects, publications, or patents. Experience working with sensitive data and in regulated/MOD environments. Pay range ...

Our client, an award-winning fintech specialising in investment and insurance data solutions, is urgently seeking a Senior Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines ...

work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype, and deploy LLM use cases … tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain ...