276 to 300 of 1,311 Databricks Jobs in the UK

Logic Apps, Service Bus and API Management. Working knowledge of C#, Python, particularly for automation, integration or AI-enabled solutions. A key understanding of Databricks and modern data architectures. Experience integrating Power Platform solutions through APIs and enterprise integration patterns. Experience with Agile, DevOps, CI/CD and Infrastructure ...

solutions and operations, enabling ethical, scalable, and domain-driven AI adoption. We partner with industry leaders including Oracle, Salesforce, Microsoft, AWS, Snowflake, and Databricks, delivering outcomes across sectors such as Healthcare, Financial Services, Retail, Manufacturing, Higher Education, and the Public Sector. Guided by our core values of Trust, Value ...

Google Cloud. Understanding of data platforms, data governance and modern analytics architectures. Experience with enterprise BI and analytics technologies such as Power BI, Tableau, Databricks or Snowflake. Experience responding to RFPs, shaping proposals and participating in pre-sales activities. Established network within the UK Commercial & Specialty Insurance market. Experience representing ...

model risk management, and regulatory requirements within financial services. Exposure to modern AI-native platforms and frameworks including Azure AI Foundry, Vertex AI, Bedrock, Databricks, or Palantir. Strong consulting and problem-solving mindset. Ability to balance strategic architecture with hands-on technical delivery. Excellent communication and presentation skills. Commercially aware ...

foundations of our ML lifecycle. What you’ll be doing Build and maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, Tecton Support AI scientist creating reproducible, containerized model training environments (on-demand and scheduled), and manage compute at scale (e.g., spot/ ...

Logic Apps, Service Bus and API Management. Working knowledge of C#, Python, particularly for automation, integration or AI‐enabled solutions. A key understanding of Databricks and modern data architectures. Experience integrating Power Platform solutions through APIs and enterprise integration patterns. Experience with Agile, DevOps, CI/CD and Infrastructure ...

environment that deeply cares about its values. To use a range of different tools and technologies depending on the specific task, these include: Databricks, Python, PySpark, R, Excel, Palantir Foundry, SQL and PowerBI. Qualifications Even if you don’t meet every requirement below, feel free to still apply ...

. Central Data & Analytics team; IT/AI development teams. Operations teams. Tools & Systems (Typical) Microsoft Excel. Power BI. SQL/data lake (e.g. Databricks). Power Automate/Power Platform. SharePoint/Dataverse. GenAI tools (e.g. Copilot/Claude) for reporting and process support. What ...

platform at scale, ideally in a consumer or marketplace environment. Deep understanding of distributed systems and modern data ecosystems — including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT. Demonstrated success in designing, building, and operating data platforms at scale, encompassing both batch processing ...

. Demonstrated experience with interpretable AI techniques. What Would Make You Stand Out: Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake). Experience of software engineering in an enterprise environment. The ability to write production-grade code and to use coding assistants in a responsible ...

solving skills with the ability to work across software, data, cloud, and connected-product teams Desirable Experience with Azure IoT services, Azure Data Explorer, Databricks, containerisation, APIs, or cloud-native application deployment Experience with infrastructure as code, automated testing, observability, logging, or platform monitoring Awareness of MLOps concepts such ...

related technical discipline. Preferred Qualifications: To support our strategic roadmap, we would value hands‐on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks, LLM integration ...

operational story. Data engineering & processing systems: You have built, operated, or supported production data pipelines using distributed processing systems such as Apache Spark or Databricks, and understand common failure modes, performance tradeoffs, and operational challenges in batch and hybrid pipelines. Data platforms & analytics systems: You have hands‐on experience with ...

platforms.* Experience using customer and campaign data from Salesforce CRM and Salesforce Marketing Cloud.* Experience working with cloud data and analytics platforms such as Databricks and SQL/Python.* Experience working with business intelligence platforms such as Power BI or Tableau.* Experience using AI and automation to accelerate insight generation. ...

. Demonstrated experience with interpretable AI techniques. What Would Make You Stand Out: Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake). Advanced degree in a quantitative subject, e.g. Mathematics, Physics, Engineering, Data Science, Machine Learning. Experience of software engineering in an enterprise environment. ...

working relationships across all departments and levels of the organization.**Education:*** Bachelor's degree in computer science, Information Technology, or related discipline* Experience with Databricks, Dataverse connectors, APIs, and Microsoft Azure **This is a remote position open to internal candidates based in countries where IRC operates who have the right ...

related technical discipline.## **Preferred Qualifications:*** ## To support our strategic roadmap, we would value hands-on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks ...

Logic Apps, Service Bus and API Management. Working knowledge of C#, Python, particularly for automation, integration or AI-enabled solutions. A key understanding of Databricks and modern data architectures. Experience integrating Power Platform solutions through APIs and enterprise integration patterns. Experience with Agile, DevOps, CI/CD and Infrastructure ...

event, longitudinal, and multivariate outcomes Proven expertise in AI/ML and proficiency in Python, R, SQL , and cloud platforms (e.g., AWS, Azure, Databricks) Deep familiarity with clinical trial design, drug development processes, and the role of biomarkers and data science in regulatory and clinical decision-making Demonstrated ability ...

large language models Experience with experiment design and conducting A/B tests Experience building shared or platform-style ML systems Experience with Databricks and PySpark Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with ...

monitoring in production. Experience working with large, complex and varied datasets. Experience with modern cloud and Data Science technologies such as AWS, Azure, Databricks, Snowflake, Spark or similar. Strong stakeholder management skills, with the ability to explain complex technical concepts clearly and influence decision-making. Strong commercial awareness ...

including proficiency in Python and experience with core data science and ML libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt ...

judge calibration)• Guardrail and AI-observability tooling (e.g. NeMo Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust)MLOps & LLMOps• Hands-on with MLOps platforms (Azure ML, Databricks, SageMaker) and vector/retrieval databases (Pinecone, Milvus, pgvector)• Experience with GPU-accelerated infrastructure and NVIDIA AI Enterprise or equivalent stacks• Exposure to fine-tuning ...

awareness Salesforce, ServiceNow, Pegasystems, Appian, OutSystems SAP, Oracle, IFS, Workday Adobe platforms, Genesys and other digital or contact-centre technologies AWS, Google Cloud, Snowflake, Databricks, Informatica, MuleSoft, Boomi Architecture & process tooling SAP LeanIX, SAP Signavio and comparable architecture repositories Preferred Qualifications & Certifications TOGAF, ArchiMate or an equivalent enterprise architecture credential. ...

Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence. Confident in delivering solutions using Databricks & developing and optimising data pipelines using PySpark within Databricks environments. Proven experience building, publishing, and supporting dashboards and reports using Power BI Strong experience … familiarity with different development methodologies and disciplines (e.g. Agile, Waterfall Scrum, DevOps, Testing). Experience of DevOps and infrastructure deployments (Azure and Databricks). Ideally, you’ll also have: Delivery experience using the following technology: SAS (SAS EG, SAS DI, SAS Viya). Relational Databases and Data Warehousing concepts. Enterprise ...