926 to 950 of 1,869 Databricks Jobs in the UK

verbalBonus Points: Experience with the Go Lang eco-system tools and librariesExperience with Pandas and PySpark libraries would be a plusTechnical experience with Databricks or any similar Delta Lake platforms. Experience working with large datasetsExperience with AWS cloud deployments and APIExperience with Docker and KubernetesFamiliarity with financial statements (e.g. balance ...

concepts to non-technical audiences. An open, curious and learning-oriented approach, with a commitment to doing great work. Nice To Have Experience with Databricks or similar platforms. Experience with HTML, JavaScript or related technologies. Exposure to supply chain, sustainability or risk-focused analytics environments. Company Benefits Hybrid working (minimum ...

financial services, insurance, manufacturing, healthcare and life sciences, public sector, automotive, or commercial sectors.Familiarity with OpenAI, Anthropic, Mistral, Google/Gemini, Microsoft, AWS, GCP, Databricks, Snowflake, and other AI ecosystem partners.Strong executive presence, negotiation skills, commercial creativity, stakeholder orchestration, resilience, and ability to lead through influence in a matrixed environment.Ability ...

senior leaders, cross-functional partners, and non-technical stakeholdersWorking knowledge of cloud-based data and machine learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML productsDeep expertise in artificial intelligence, with a track record of implementing ...

models using SQL (python would be advantageous) and sophisticated Excel/GoogleSheet/Google AppScripts tools. Exposure to software (or equivalent software) such as Databricks, Snowflake, N8N, Workday Adaptive Planning, Tableau etc would also be an advantage. Experience developing advanced analytics with an exceptional ability to interpret and present financial ...

experience[Preferred] Specific experience with LLMs and agentic systems[Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow[Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs[Preferred] Experience building AI products in highly accuracy-sensitive domains such ...

leaders, cross-functional partners, and non-technical stakeholders Working knowledge of cloud-based data and machine learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML products Deep expertise in artificial intelligence, with a track record ...

leaders, cross-functional partners, and non-technical stakeholders Working knowledge of cloud-based data and machine learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML products Deep expertise in artificial intelligence, with a track record ...

Computer Science, a related field, or equivalent industry experienceNice to Have: Experience founding or scaling an FDE/solutions engineering function. Technical founder background. Databricks, AWS Bedrock, or Temporal experience. Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers).Proficiency ...

/or implement data governance recommendations based on a client’s needs, priorities, and environment Hands on experience working in a data governance technology (Databricks Unity Catalog, Microsoft Purview, Alation, Atlan, Collibra and Ataccama) Experience with defining and initiating Data Governance strategies, frameworks, operating models, and workflow processes Experience with ...

/or implement data governance recommendations based on a client’s needs, priorities, and environment Hands on experience working in a data governance technology (Databricks Unity Catalog, Microsoft Purview, Alation, Atlan, Collibra and Ataccama) Experience with defining and initiating Data Governance strategies, frameworks, operating models, and workflow processes Experience with ...

Science. These are some technologies that our Data Scientists use (we don't expect applicants to have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing. ...

secrets, IAM, least privilege) Ability to lead across teams and communicate clearly with engineers and business stakeholders Preferred Qualifications, Capabilities, And Skills Experience with Databricks/Spark and ML/forecasting execution at scale, including optimizing cold-start/warm-compute Familiarity with TypeScript/React micro-frontends (Module Federation ...

content in commercial terms for non-technical stakeholders, such as customers, sales and product teams Desirable B2B product experience Experience with Spark SQL, PySpark, databricks Experience with CausalAI modelling frameworks (e.g. dowhy, econml) Diversity & Inclusion Intent HQ is an equal opportunities employer with an ethos of commitment to promoting ...

focus on writing clean, modular, and reusable code.Nice-to-HavesData Modelling Expertise: Practical experience with Star Schema and Kimball methodologies.Modern Data Stack: Experience using Databricks for processing and dbt for transformation workflows.Global Delivery: Experience building data products designed for multi-region or multi-client environments.Kaluza ValuesHere at Kaluza we have ...

innovation. Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g. Databricks or equivalent), cloud-based technologies, data mesh architectures, and big data ecosystems. Experience with A/B experimentation, data- and metric-driven product development, cloud ...

financial services, healthcare, retail, energy, aviation, and the public sector, and partner with some of the world’s leading technology providers, including Microsoft, Snowflake, Databricks, and Collibra. What sets us apart is how we build capabilities and careers alongside the solutions we deliver. Through continuous learning, hands-on experience ...

. Experience with multiple ways to persist contextual data, e.g., knowledge graphs and hierarchical indexes. Experience with other types of large data solutions, e.g., Databricks and Snowflake. Experience with authentication/authorization systems (Zanzibar, Authz, etc.). Experience scaling technical products at hyper-growth startups. PLEASE NOTE: Our policy requires ...

Data & AI - Seen as a credible thought partner to CXOs, with strong understanding of Data, AI, Analytics and tech ecosystems (AWS, Azure, GCP, Databricks, Palantir), enabling articulation of value, limitations, and ROI while influencing strategic decisions and guiding Data & AI‐led transformation EXL Differentiation - Position EXL as a Data ...

Technology Platforms across AI solutions (OpenAI, AWS, Palantir, Google, Microsoft), Cloud (Azure, AWS, Google), Supply Chain (O9, BlueYonder, Kinaxis), CRM (Dynamics, Salesforce), Data (Databricks, Snowflake), ERP (SAP S4) or others. Set yourself apart (we're very interested in hearing from you if you have some or all of the below ...

solutions from pilot through to operationalisation. Ideallyhold a professional certification (e.g.cloud architect) in at least one major cloud data platform (e.g.GCP, Azure, AWS, Snowflake, Databricks) and will, ideally, be an active participant in that cloud’s community. Our organisation values are designed to guide all that we do. Bold ...

TypeScript) and CloudFormation aws-lambda-powertools for observability CI/CD via AWS CodePipeline Grafana dashboards and CloudWatch alarms Product and analysis Databricks SQL, dashboards and notebooks for reporting Jupyter, numpy, pandas, plotly for investigation Cursor, Copilot, and a healthy amount of custom scripting How we work Small, highly collaborative ...

TypeScript) and CloudFormation aws-lambda-powertools for observability CI/CD via AWS CodePipeline Grafana dashboards and CloudWatch alarms Product and analysis Databricks SQL, dashboards and notebooks for reporting Jupyter, numpy, pandas, plotly for investigation Cursor, Copilot, and a healthy amount of custom scripting How we work Small, highly collaborative ...

engineering, product management, solutions architecture) with a strong desire to move into marketing and storytelling.Experience working with datawarehouse/CDP or technology such as Databricks, Snowflake Google Cloud Platform, AWS and other technology partners to jointly build and launch products, features and go-to-market sales motions. API/ ...

close agreements.- Build and execute co-sell motions with Global Systems Integrators (e.g. Accenture, Deloitte, TCS, Wipro) and strategic technology partners (e.g. Anthropic, Databricks) to bring joint migration-to-AI propositions to market and accelerate deal cycles.- Leverage the AWS partner ecosystem to ensure customers get the right delivery support ...