76 to 100 of 268 Remote Databricks Jobs

working in regulated environments is highly desirable Desirable Financial Services, Insurance or Pensions sector experience Experience modernising legacy data platforms Azure Data Factory, Synapse, Databricks or similar Microsoft data technologies This is an excellent opportunity to join a critical programme at a pivotal stage, helping to stabilise key data processes ...

relationships, identifying growth opportunities and helping expand a consulting business.A naturally curious mindset and a genuine passion for solving challenging problems.**Additional experience with Databricks, PySpark, R, Power BI or Palantir Foundry would be advantageous.**Why consider it Continued development:** Dedicated training and certification budget.Variety:** Work on complex, interesting projects ...

identifying growth opportunities and helping expand a consulting business. A naturally curious mindset and a genuine passion for solving challenging problems. **Additional experience with Databricks, PySpark, R, Power BI or Palantir Foundry would be advantageous.** Why consider it? Continued development:** Dedicated training and certification budget. Variety:** Work on complex, interesting ...

evidence-based recommendations. Curious about advanced analytics, with experience or a strong interest in applying statistical and machine learning techniques (e.g. Python, R or Databricks) to turn insight into practical, ethical and explainable actions. Where you’ll work Right now, our Support Centre teams work flexibly, blending home working with ...

Excellent communication and technical writing skills. Ability to explain technical concepts to diverse audiences. Preferred Skills: Experience with large-scale data platforms such as Databricks, Spark, Hadoop, or Hive. Experience developing, evaluating, or deploying machine learning and AI solutions, including work with large language models, and cloud environments (e.g. ...

following areas: Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps ...

partners, and it moves faster than a normal product organisation is allowed to.inference workloads Data foundations: pipelines and lakehouse patterns (Microsoft Fabric/OneLake, Databricks, or equivalents), streaming and event-driven integration where the problem demands it Enterprise integration: API design and consumption at scale, including REST, OData, GraphQL ...

enough machine learning operations (MLOps) and model serving to ship an MVP to production. Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development. Preferred ExperiencePrior experience as a Forward Deployed Engineer at an AI-native company (Anthropic, Palantir, OpenAI ...

enough machine learning operations (MLOps) and model serving to ship an MVP to production.Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development.Preferred ExperiencePrior experience as a Forward Deployed Engineer at an AI-native company (Anthropic, Palantir, OpenAI, or similar ...

regression testing).Experience with API integration, retrieval layers, knowledge graphs, ontologies, or semantic search. Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development. Preferred ExperiencePrior experience as a Forward Deployed Engineer at an AI-native company (Anthropic, Palantir, OpenAI ...

regression testing).Experience with API integration, retrieval layers, knowledge graphs, ontologies, or semantic search. Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development. Preferred ExperiencePrior experience as a Forward Deployed Engineer at an AI-native company (Anthropic, Palantir, OpenAI ...

Databricks Data Architect - Hybrid - London - Up to £95,000 We're partnering with a global technology organisation who is seeking an experienced Architect to lead the design and delivery of enterprise-scale transformation programmes. This is an opportunity to shape the future of data, machine learning and Generative AI solutions … enterprise scale. As a Databricks Architect, you will define technology strategies, lead architectural governance, and design modern data platforms that enable advanced analytics, AI and business transformation. Working alongside specialist Data, AI and Cloud teams, you will guide clients through large-scale modernisation initiatives and establish foundations for future innovation. ...

platforms such as Azure, AWS or GCP A passion for building solutions that are scalable, secure and production-ready Experience with technologies such as Databricks, MLflow, LangChain, LangGraph, Semantic Kernel or modern AI platforms would be advantageous, but isn't essential. Why Join? Fully remote working Private healthcare and life ...

integration and ingestionSkill in data manipulation and processingProficiency with GitHub Actions and Azure DevOpsExperience with data platforms and tools such as Azure Data Factory, Databricks, SQL Database, Synapse Analytics, Stream Analytics, AWS Glue, Airflow, Kinesis, Redshift, SonarQube and PyTestExperience in commodity trading and supply operations, ideally within the energy sectorStrong ...

skills in Python and SQL with experience in frameworks such as PyTorch, TensorFlow and Hugging FaceExperience using data platforms and big data frameworks like Databricks and SparkExcellent communication skills for engaging C-level stakeholders and aligning technical outcomes with business valueNice to haveExperience applying AI in drug discovery, safety monitoring ...

them into practical technical solutions.Excellent analytical, problem-solving and communication skills.Desirable experienceData-lake or lakehouse technologies such as Delta Lake, Apache Iceberg, Apache Hudi, Databricks, Snowflake or AWS Lake Formation.Image or video visualisation, enhancement, rendering or tagging applications.GIS or geo-referenced imagery.Event-driven architectures using Kafka, RabbitMQ, Redis Streams ...

practical technical solutions. Excellent analytical, problem-solving and communication skills. Desirable experienceData-lake or lakehouse technologies such as Delta Lake, Apache Iceberg, Apache Hudi, Databricks, Snowflake or AWS Lake Formation. Image or video visualisation, enhancement, rendering or tagging applications. GIS or geo-referenced imagery. Event-driven architectures using Kafka, RabbitMQ ...

generative AI applications with strong knowledge of MLOps and LLMOps lifecyclesAdvanced understanding of cloud-scale data platforms such as AWS, Azure, GCP or Databricks and data engineering best practicesKnowledge of data governance, data security and emerging AI regulatory frameworks including the EU AI ActExperience orchestrating multi-disciplinary teams across regions ...

concepts and GenAI frameworks (e.g., LangChain, Hugging Face) and cloud-native AI services (AWS, Azure or GCP)Knowledge of MLOps practices and tools like Databricks or MLflowAbility to tackle ambiguous problems with structured, analytical approachesStrong verbal and written communication skills for technical and executive audiencesExperience in hybrid consulting environments, balancing ...

experience with libraries such as XGBoost, PyTorch, TensorFlow, or Hugging Face Experience working with cloud-based data and AI platforms, particularly Azure and Databricks Strong stakeholder engagement and storytelling capabilities; able to translate technical complexity into executive-level narratives Experience working within agile, cross-functional product and delivery teams Strong ...

data quality improvement initiativesExperience working within matrixed environments where resources are shared across multiple prioritiesFamiliarity with modern cloud-based data platforms, ideally including Databricks and technologies such as Azure, AWS or GCPUnderstanding of data governance, data product thinking and domain-led operating modelsExcellent communication skills with the ability to simplify ...

leading cloud-based data platforms and production-grade data workflowsWorking with data pipelines, data modelling, orchestration and modern cloud data tools such as Databricks, BigQuery, Spark or similarEvent-driven or streaming data patterns, as well as more traditional operational, legacy or non-event-driven data environmentsDesigning reliable, observable and well ...

tech transfer, and with the NVIDIA physical AI and agentic model stack (Nemotron, etc.).Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development. Preferred ExperiencePrior experience as a Forward Deployed Engineer at an AI-native company (Anthropic, Palantir, OpenAI ...

tech transfer, and with the NVIDIA physical AI and agentic model stack (Nemotron, etc.).Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development.Preferred ExperiencePrior experience as a Forward Deployed Engineer at an AI-native company (Anthropic, Palantir, OpenAI, or similar ...

maintain ETL/ELT pipelines across multiple data sources. Work with Fabric Lakehouses, Notebooks, Pipelines and Workspaces. Build solutions using Azure Data Factory, Databricks, Azure SQL and Synapse. Develop using SQL, Python and PowerShell. Optimise data pipelines, queries and data models. Support analytics and reporting using Power BI. Ensure strong … governance. Use Azure DevOps/GIT for source control and deployment. Experience Needed Strong hands-on Microsoft Fabric and Azure experience. Azure Data Factory, Databricks, Azure SQL and Synapse. Strong SQL plus Python and/or PowerShell. Strong ETL/ELT, data modelling and data warehousing experience. Azure DevOps/ ...