8 of 8 Remote/Hybrid Databricks Jobs in Central London

Experience working in secure, regulated, or complex enterprise environments Exposure to large-scale data platforms or transformation programmes Knowledge of tools such as Spark, Databricks, Airflow, or similar Experience in consulting or client-facing delivery environments Security Requirements Must be a sole UK citizen Must be eligible for Security Clearance ...

teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search ...

Data Solution Architect - Databricks Location: UK Wide (Hybrid) Salary: Up to £110,000 + Bonus + Excellent Benefits Security Clearance: Must be eligible for SC Clearance The Opportunity We're recruiting for an experienced Data Solution Architect with strong Databricks expertise to join a leading technology consultancy delivering large-scale … designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You'll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives across ...

Liverpool Street (London) Role The Data Engineer Lead is responsible for designing, building, and supporting modern data platform, with a particular focus on Databricks, cloud-based data engineering, and leading the migration of legacy Oracle systems into scalable, cloud-native environments. The role supports the organisation's data strategy especially … role leads the design, implementation, and optimisation the Data Mart and migration processes, ensuring alignment with enterprise data architecture and compliance standards. Core Responsibilities Databricks/Modern Data Platform Engineering Lead the design and development of Data Marts using Databricks (SQL/Python). Follow engineering best practices including version ...

Leading hands-on technical delivery of AI projects, contributing actively to codebases and architectural decisions Developing and deploying production-grade AI systems using Azure, Databricks and Generative AI tooling Owning the implementation of ML pipelines, APIs and data integration workflows Enforcing MLOps best practices, coding standards, version control and performance … lifecycle best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile methodologies (Jira, Confluence) Good knowledge of generative AI, machine learning, deep learning or NLP Strong ...

. Cloud Ecosystem Connectivity: Seamlessly integrate data across major cloud platforms (AWS, Azure, GCP), SaaS applications, and modern data warehouses like Snowflake or Databricks . Performance Tuning: Act as the senior technical lead for debugging, advanced error handling, and pipeline optimization to ensure high scalability and performance. Collaboration: Partner closely … requirement). The Full Suite: Deep proficiency in both CDI and CAI modules. Data Environment Knowledge: Solid experience integrating with cloud data platforms (Snowflake, Databricks) and cloud providers (AWS/Azure/GCP). Experience: 6-8 years of overall experience in ETL/Data Integration. Best Practices: A strong ...

scalable MLOps and AI deployment approaches Drive high-quality engineering practices across testing, deployment, monitoring, and optimisation Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/… Strong understanding of Generative AI and modern AI engineering practices Exposure to Agentic AI frameworks or autonomous AI workflows Experience working with Azure and Databricks Good understanding of backend engineering and API development Experience collaborating across cross-functional engineering and product teams Ability to mentor or support junior engineers Strong ...

through to measurable impact. Self-source the data you need by navigating our data platform, writing SQL, understanding upstream structures, and working confidently with Databricks or similar lakehouse patterns. Build and operate scalable, secure pipelines and curated data layers that power analytics, risk insights, and insurance recommendations. Implement front … component architecture, state management, and experience delivering data-heavy user interfaces. Strong SQL and data querying skills, with the ability to self-serve from Databricks or similar data platforms. Solid mathematical and quantitative skills, with the ability to implement and validate computations accurately. Experience building APIs and services that connect ...