76 to 100 of 406 Databricks Jobs in London

Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. Experience developing Python APIs using tools such as FastAPI. Knowledge of database technologies (SQL, MongoDB, Databricks) and data pipeline tools. Familiar with ML CI/CD pipelines for development, testing, versioning, and task automation. Familiar with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). More ❯

contribute to internal projects alongside our central data team. Experience & skills you may have Strong working knowledge of SQL, Python, Spark, and experience with cloud infrastructure (ideally AWS and Databricks) Hands-on experience with building data pipelines in Spark within live production environments Coding transformation processes using tools such as dbt Implementing data quality checks and validation Applying CI/ More ❯

languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. Experience working in Azure/Microsoft environments is considered a real plus. Proven understanding of data science methods for analyzing and making sense of research data More ❯

SKILLS) Bachelor's or Master's degree in Computer Science, Engineering, or relevant experience hands-on with data engineering Strong hands-on knowledge of data platforms and tools, including Databricks, Spark, and SQL Experience designing and implementing data pipelines and ETL processes Good knowledge of ML ops principles and best practices to deploy, monitor and maintain machine learning models in More ❯

e.g., Pandas, NumPy) and deep expertise in SQL for building robust data extraction, transformation, and analysis pipelines. Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, or Snowflake, with a focus on scalability and performance optimization Familiarity with graph databases (e.g., Neo4j, Memgraph) or search platforms (e.g., Elasticsearch, OpenSearch) to support complex data relationships and querying More ❯

Lead the troubleshooting of Production systems incidents in working hours and out of hours on a best endeavours basis. Skills/Qualifications Essential Skills Strong working knowledge of Azure Databricks/Spark (using Python and associated frameworks) Privacera and SQL Strong working knowledge of Azure Data Lake and Blob storage Strong experience of building data reporting and visualisations using PowerBI More ❯

role. Experience with Agile/Scrum Framework. Excellent problem-solving and analytical skills. Excellent communication skills, both at a deep technical level and stakeholder level. Data Expert experience with Databricks (PySpark). Experience building and maintaining complex ETL Projects, end-to-end (ingestion, processing, storage). Expert knowledge and experience with data modelling, data access, and data storage techniques. Experience More ❯

of outdated systems-ensuring functionality is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutions-designing, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPT-while enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. Integration Deliver integration of internal systems and external vendor technology including More ❯

managed retirement of outdated systemsensuring functionality is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutionsdesigning, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPTwhile enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. Integration Deliver integration of internal systems and external vendor technology including BlackRock More ❯

of outdated systems-ensuring functionality is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutions-designing, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPT-while enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. Integration Deliver integration of internal systems and external vendor technology including More ❯

Do you want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks! Leading a team of Greenfield Account Executives, you will be measured by achieving your team's target to activate new accounts and grow Databricks consumption. You will be expected to be hands-on with your … IT stakeholders including C suite Knowledge of the partner ecosystem to help grow enhance approaches to territories Success implementing strategies for consumption and commitment-based sales revenue models About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data … Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet More ❯

SLSQ226R46 Databricks operates at the leading edge of the Data Analytics space with a mission to help companies solve the world's toughest problems. Reporting to the Senior Director, Sales, your mission will be to acquire new customers for Databricks in the Nordic region. As a Greenfield Account Executive, you will be an energetic salesperson passionate about prospecting and closing … days. Implement prospecting campaigns to discover new opportunities in partnership with your Business Development Representative. Guiding customers through their first decision and their early successes driving outcomes with the Databricks Platform Driving accelerated quarter-over-quarter growth in a consumption sales model Work with system integrators, ISVs and cloud partners to help customers build an excellent data and AI strategy … at Databricks. Experience in a consumption-based model Proven ability to sell value, build champions and work with a partner ecosystem. Fluency in English and Swedish language required About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data More ❯

Do you want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks! Leading a team of Hunter Emerging Enterprise & Digital Native Account Executives, you will be measured by achieving your team's overall quota and acquiring new logos for Databricks. You will be expected to land new … strategic logos, drive key initiatives to expedite Databricks market penetration in this key area, whilst delivering accurate sales forecasting and reporting. As a senior leader in the UKI region, you will be responsible for defining the sales strategy and sponsoring cross-functional initiatives. This is a fantastic opportunity to build upon a highly talented team building partnerships with new customers … and commitment-based sales revenue models Enthusiasm for the customer acquisition phase of the customer lifecycle and a willingness to try new approaches/disrupt the status quo About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data More ❯

related to oil and gas. Preferred Qualifications: • Certifications in relevant technologies or methodologies. • Proven experience in building, operating, and supporting robust and performance databases and data pipelines. • Experience with Databricks and Snowflake • Solid understanding of web performance optimization, security, and best practices Experience supporting Power BI dashboards More ❯

junior colleagues. You will bring experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to: MS Fabric stack Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift More ❯

junior colleagues. You will bring experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to: MS Fabric stack Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift More ❯

solutions, from envisioning through to engineering, evaluation and evergreening. An Azure background in either Software Development (e.g. C#, Kubernetes, App Services, Functions, Python, etc) or Data Platform (Microsoft Fabric, Databricks, Python, etc) , combined with Generative AI experience. Able to consult, advise, architect, and estimate project work. Strong analysis, requirements gathering and solution modelling. Solid engineering experience in python, SQL, and More ❯

solutions, from envisioning through to engineering, evaluation and evergreening. An Azure background in either Software Development (e.g. C#, Kubernetes, App Services, Functions, Python, etc) or Data Platform (Microsoft Fabric, Databricks, Python, etc) , combined with Generative AI experience. Able to consult, advise, architect, and estimate project work. Strong analysis, requirements gathering and solution modelling. Solid engineering experience in python, SQL, and More ❯

large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to evaluate More ❯

policy documents, etc). Enable the collection of new data and the refinement of existing data sources. Help manage day to day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated tech across various platforms. Coordinate and manage small to medium sized machine learning projects in small cross functional squads. What wed like to see More ❯

Python and AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track record of delivering scalable AI solutions in enterprise settings, preferably in life sciences. Excellent communication and interpersonal skills, with the ability to lead projects and More ❯

data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Company Description Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to More ❯

data streaming and event-driven architectures, with a focus on Kafka and Confluent platforms In-depth knowledge in architecting and implementing data lakes and lakehouse platforms, including experience with Databricks and Unity Catalog. Proficiency in conceptualising and applying Data Mesh and Data Fabric architectural patterns. Experience in developing data product strategies, with a strong inclination towards a product-led approach More ❯

engineering roles, preferably for a customer facing data product Expertise in designing and implementing large-scale data processing systems with data tooling such as Spark, Kafka, Airflow, dbt, Snowflake, Databricks, or similar Strong programming skills in languages such as SQL, Python, Go or Scala Demonstrable use and an understanding of effective use of AI tooling in your development process A More ❯

autonomy environments with a strong culture of accountability. Nice to Have: Familiarity with React and how front end teams consume and interact with back end services. Experience with the Databricks platform and ecosystem. Prior experience in a market intelligence, financial data, or analytics SaaS business. Working knowledge of SQL/NoSQL databases and data modelling in analytics contexts. Comfortable working More ❯