3 of 3 Databricks Jobs in Guildford

AI Director

Hiring Organisation
Global University Systems
Location
Guildford, Surrey, UK
Employment Type
Full-time
academic and professional services communities to drive adoption. Desirable Experience with major cloud and AI stacks such as Azure OpenAI/OpenAI, Azure ML, Databricks, Kubernetes, and Docker. Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service … pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments. Knowledge of data privacy, accessibility ...

Lead Data Engineer

Hiring Organisation
Digital Waffle
Location
Guildford, England, United Kingdom
days per week onsite What you’ll be doing: Design, build, and optimise scalable data pipelines and architecture Work hands-on with SQL, PySpark, Databricks, Azure, and Data Lake to deliver high-performance solutions Translate business needs into technical requirements and data-driven solutions Ensure best practice in data governance … What you’ll need: Proven experience as a Data Engineer or Senior Data Engineer with some team leadership responsibilities Strong technical expertise with PySpark, Databricks, Azure, and Data Lake Deep understanding of data architecture and ETL processes in cloud environments The ability to balance coding and technical delivery with people ...

Data Scientist

Hiring Organisation
trg.recruitment
Location
Guildford, Surrey, UK
Employment Type
Full-time
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 ...