426 to 450 of 494 Databricks Jobs in England

AI-enabled applications. Key Responsibilities: Develop robust, scalable applications using Python , APIs, and async processing techniques Collaborate with cross-functional teams on system architecture, design, and implementation Work with Databricks or Microsoft Fabric to manage big data workflows Utilize Azure Cloud services (Data Lake, Functions, App Services) for development and deployment Implement and maintain containerized solutions using Docker and CI … Ensure applications meet performance, reliability, and scalability requirements Required Skills & Experience: 2+ years of Python development experience with strong knowledge of APIs, data structures, and asynchronous programming Experience with Databricks or Microsoft Fabric Proficiency in Azure cloud services including Data Lake, Functions, and App Services Strong understanding of Docker , CI/CD workflows, and automation pipelines Familiarity with MLOps tooling More ❯

pricing actions. Collaborate with cross-functional teams to deliver the platform in an agile manner. Provide guidance on the implementation and management of Azure Cache (Redis), Postgres, Azure Redis, Databricks Delta Live tables, and Snowflake. Ensure the platform supports microservices and API-driven architecture with sub-2-second calls. Develop and maintain documentation, architecture diagrams, and other technical artifacts. Manage … What you'll need: Proven experience in ML Ops engineering, with a focus on Azure and Databricks. Strong knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience with Docker and Azure Container Services. Familiarity with API service development and orchestration. Experience in Data (Delta) Lake Architecture (Azure). Excellent problem-solving More ❯

Senior Data Engineer - AWS Location: London (Hybrid) | Practice Area : Technology & Engineering Type: Permanent Engineer future-ready data platforms that power financial transformation. The Role We're looking for a Senior Data Engineer with AWS to join our growing team of More ❯

systems Strong proficiency with Python, and familiarity with Scala, Go, or Rust Cloud platform expertise with AWS, GCP, or Azure, including AI-specific services (SageMaker, Vertex AI, Azure AI) Databricks platform experience with Unity Catalog, MLflow, and Databricks Machine Learning for end-to-end AI/ML workflows Modern ML infrastructure experience with tools like MLflow or similar platforms Containerization … model serving experience with modern inference servers and API gateways for AI applications Nice to have: Infrastructure as Code experience with Terraform, Ansible, or CloudFormation Distributed computing experience with Databricks, Ray, or Spark for large-scale AI workloads AI safety & governance experience with model evaluation, bias detection, and responsible AI practices Multi-modal AI experience with vision-language models, speech More ❯

This position is part of the Scaled Analytics Product Management team, helping to build on our market-leading data platform capabilities powered by Databricks. You'll focus on leveraging Databricks to build the infrastructure that rapidly launches customer-facing analytics products, and you'll work closely with other product managers to enable both our Analytics Engineering and Analytics Distribution efforts. … Responsibilities: Drive 3-, 6-, and 12-month product roadmap for Analytics Engineering Be the SME for Databricks for the Analytics business Provide and present insights into the latest industry trends affecting our data platform and customers Collaborate with other PMs in Distribution and asset class specific product areas to ensure platform meets their needs Support migrations from legacy data engineering … platforms to Databricks Maintain a well-groomed product backlog Partner with Engineering and QA leads to estimate work for each sprint and review items before launch Contribute to internal and external product knowledge-sharing activities (training guides, FAQs, documentation) Requirements : Bachelor's degree in Computer Science, Engineering, or equivalent work experience 3-5 years of product management with a focus More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark … R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark … R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

technical background but has recently worked in a managerial role focused on mentoring, coaching, reviewing code, and standard setting. The role will focus on the development of the clients Databricks platform (AWS is preferred but open to Azure.GCP experience also), utilising Python and SQL, contribute to CI/CD pipelines, strategy development, cost optimisation and data governance frameworks. Job duties … engineers, helping to mentor and coach the team. Manage the adoption of automated CI/CD pipelines. Implement a new delivery roadmap. Contribute to the development of a new Databricks system in AWS (AWS experience is preferred but they are open to managers with Azure experience). Cost optimisation. Establish data governance frameworks for secure handling of delivery information. Requirements … Manager: 6+ years experience in a hands on data engineer role, with over a years recent experience in a managerial role, coaching similar sized teams. Deep knowledge of the Databricks platform. Hands on Python development experience. SQL optimisation. Experience with large scale data pipeline optimisation. Experience with Streaming and Batch Spark workloads. Strong people management skills. Role: Data Engineering Manager More ❯

services sector. Desirable Skills (nice to have but not essential): Recognised data or AI qualification (e.g. CDMC, DAMA, DCAM, ISACA). Familiarity with key data and AI platforms (Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, AWS). Experience implementing and refining data/AI analytics tools to automate internal audit processes. Proficiency in analytics tools such as Alteryx, Tableau, Power BI … Databricks, Snowflake, SQL, or similar. This is a standout opportunity to join a highly respected firm and play a central role in advancing their digital audit capabilities. For the right candidate, it offers clear potential for career progression at the forefront of technology-led assurance. This role is advertised by Demetria Petropoulos, Butler Rose (AGY) Butler Rose is committed to More ❯

core Azure native data solutions. Key Responsibilities: Own and execute enterprise data strategy – Enterprise data, BI, and reporting solutions Design and develop Azure-native data platforms (Synapse, Data Factory, Databricks, Purview) Lead data governance board and ensure GDPR compliance Drive data-driven decision making across the business Mentor teams and manage vendor relationships Qualifications and Requirements With the past … LLD) experience covering Data modelling (Conceptual, logical, and physical) A zure Expertise: Deep hands-on experience developing core Azure native data solutions: Synapse Analytics, Data Lake Gen2, Data Factory Databricks, CosmosDB, Microsoft Fabric Azure Purview for data governance Integration: Experience with MDM platforms (Profisee, Semarchy, CluedIn) To be considered, please ensure you complete your application on the Computappoint website. Services More ❯

business value. RESPONSIBILITIES Develop, test, and deploy custom web applications and dashboards, connecting to multiple enterprise data sources (e.g., Microsoft Fabric Data Lake, Power.B.I., Qlik Sense, SQL Server, Airtable, Databricks) Build advanced data visualisations using D3.JS and other JavaScript libraries to create highly interactive, responsive interfaces Integrate applications with APIs to pull, push, and process data in real-time Work … managing applications in Azure and/or AWS environments Data Platform Familiarity: Knowledge of connecting to data platforms such as Microsoft Fabric, Power.B.I., Qlik Sense, SQL Server, Airtable, and Databricks Performance Mindset: Commitment to building scalable, secure, and optimised web applications QUALIFICATIONS Proven experience developing and deploying web applications, ideally in a consulting or enterprise environment Proficiency in HTML, CSS … integration (REST, GraphQL) Familiarity with database technologies and query languages (SQL, NoSQL) Experience working with data sources such as Microsoft Fabric’s Data Lake, Power.B.I., Qlik Sense, Airtable, and Databricks Good grasp of DevOps practices, including CI/CD pipelines and code management workflows Cloud deployment experience with Azure and/or AWS Some background in UI/UX design More ❯

You'll help steer the organisation toward a GenAI-enabled future over the next three years. Key Responsibilities Lead internal data and AI projects within a Microsoft ecosystem (Fabric, Databricks, Power BI, Lakehouse, Copilot). Collaborate with cross-functional teams to ensure alignment with strategic objectives. Manage vendor relationships and guide product managers toward cohesive delivery. Operate within Agile frameworks … For Proven experience as a Project Managerin data-centric environments. Strong understanding of cloud platformsand familiarity with AI concepts. Experience working within the Microsoft data stack (e.g. Fabric, Azure Databricks, Power BI, Lakehouse, Copilot). Exceptional stakeholder management skills and the maturity to navigate complex internal dynamics. Agile delivery experience and a strategic mindset. Why Apply? Competitive salary up to More ❯

You'll help steer the organisation toward a GenAI-enabled future over the next three years. Key Responsibilities Lead internal data and AI projects within a Microsoft ecosystem (Fabric, Databricks, Power BI, Lakehouse, Copilot). Collaborate with cross-functional teams to ensure alignment with strategic objectives. Manage vendor relationships and guide product managers toward cohesive delivery. Operate within Agile frameworks … For Proven experience as a Project Managerin data-centric environments. Strong understanding of cloud platformsand familiarity with AI concepts. Experience working within the Microsoft data stack (e.g. Fabric, Azure Databricks, Power BI, Lakehouse, Copilot). Exceptional stakeholder management skills and the maturity to navigate complex internal dynamics. Agile delivery experience and a strategic mindset. Why Apply? Competitive salary up to More ❯

You'll help steer the organisation toward a GenAI-enabled future over the next three years. Key Responsibilities Lead internal data and AI projects within a Microsoft ecosystem (Fabric, Databricks, Power BI, Lakehouse, Copilot). Collaborate with cross-functional teams to ensure alignment with strategic objectives. Manage vendor relationships and guide product managers toward cohesive delivery. Operate within Agile frameworks … For Proven experience as a Project Managerin data-centric environments. Strong understanding of cloud platformsand familiarity with AI concepts. Experience working within the Microsoft data stack (e.g. Fabric, Azure Databricks, Power BI, Lakehouse, Copilot). Exceptional stakeholder management skills and the maturity to navigate complex internal dynamics. Agile delivery experience and a strategic mindset. Why Apply? Competitive salary up to More ❯

You'll help steer the organisation toward a GenAI-enabled future over the next three years. Key Responsibilities Lead internal data and AI projects within a Microsoft ecosystem (Fabric, Databricks, Power BI, Lakehouse, Copilot). Collaborate with cross-functional teams to ensure alignment with strategic objectives. Manage vendor relationships and guide product managers toward cohesive delivery. Operate within Agile frameworks … For Proven experience as a Project Managerin data-centric environments. Strong understanding of cloud platformsand familiarity with AI concepts. Experience working within the Microsoft data stack (e.g. Fabric, Azure Databricks, Power BI, Lakehouse, Copilot). Exceptional stakeholder management skills and the maturity to navigate complex internal dynamics. Agile delivery experience and a strategic mindset. Why Apply? Competitive salary up to More ❯

You'll help steer the organisation toward a GenAI-enabled future over the next three years. Key Responsibilities Lead internal data and AI projects within a Microsoft ecosystem (Fabric, Databricks, Power BI, Lakehouse, Copilot). Collaborate with cross-functional teams to ensure alignment with strategic objectives. Manage vendor relationships and guide product managers toward cohesive delivery. Operate within Agile frameworks … a Project Manager in data-centric environments . Strong understanding of cloud platforms and familiarity with AI concepts . Experience working within the Microsoft data stack (e.g. Fabric, Azure Databricks, Power BI, Power Platform, Azure Lakehouse, Copilot). Exceptional stakeholder management skills and the maturity to navigate complex internal dynamics. Agile delivery experience and a strategic mindset. Why Apply? Competitive More ❯

You'll help steer the organisation toward a GenAI-enabled future over the next three years. Key Responsibilities Lead internal data and AI projects within a Microsoft ecosystem (Fabric, Databricks, Power BI, Lakehouse, Copilot). Collaborate with cross-functional teams to ensure alignment with strategic objectives. Manage vendor relationships and guide product managers toward cohesive delivery. Operate within Agile frameworks … a Project Manager in data-centric environments . Strong understanding of cloud platforms and familiarity with AI concepts . Experience working within the Microsoft data stack (e.g. Fabric, Azure Databricks, Power BI, Power Platform, Azure Lakehouse, Copilot). Exceptional stakeholder management skills and the maturity to navigate complex internal dynamics. Agile delivery experience and a strategic mindset. Why Apply? Competitive More ❯

You'll help steer the organisation toward a GenAI-enabled future over the next three years. Key Responsibilities Lead internal data and AI projects within a Microsoft ecosystem (Fabric, Databricks, Power BI, Lakehouse, Copilot). Collaborate with cross-functional teams to ensure alignment with strategic objectives. Manage vendor relationships and guide product managers toward cohesive delivery. Operate within Agile frameworks … a Project Manager in data-centric environments . Strong understanding of cloud platforms and familiarity with AI concepts . Experience working within the Microsoft data stack (e.g. Fabric, Azure Databricks, Power BI, Power Platform, Azure Lakehouse, Copilot). Exceptional stakeholder management skills and the maturity to navigate complex internal dynamics. Agile delivery experience and a strategic mindset. Why Apply? Competitive More ❯

You'll help steer the organisation toward a GenAI-enabled future over the next three years. Key Responsibilities Lead internal data and AI projects within a Microsoft ecosystem (Fabric, Databricks, Power BI, Lakehouse, Copilot). Collaborate with cross-functional teams to ensure alignment with strategic objectives. Manage vendor relationships and guide product managers toward cohesive delivery. Operate within Agile frameworks … a Project Manager in data-centric environments . Strong understanding of cloud platforms and familiarity with AI concepts . Experience working within the Microsoft data stack (e.g. Fabric, Azure Databricks, Power BI, Power Platform, Azure Lakehouse, Copilot). Exceptional stakeholder management skills and the maturity to navigate complex internal dynamics. Agile delivery experience and a strategic mindset. Why Apply? Competitive More ❯

and machine learning. The ideal candidate will have a proven track record of building and training models to solve real-world problems. Experience in the Insurance industry or with Databricks is a bonus but not essential. The role of Senior Data Scientist is within our Underwriting team, and can be based remotely or at our offices in Salford Quays, Manchester … skills required: Proficiency in Python Experience building and training machine learning models Previous data science experience in a relevant role Optional but advantageous skills: Insurance industry experience Knowledge of Databricks Key activities: Develop data services including deep learning and predictive analytics Perform data analysis and collection to support these services Enhance data sources through testing external data Collaborate with team More ❯

and machine learning. The ideal candidate will have a proven track record of building and training models to solve real-world problems. Experience in the Insurance industry or with Databricks is a bonus but not essential. The role of Senior Data Scientist is within our Underwriting team, and can be based remotely or at our offices in Salford Quays, Manchester … skills required: Proficiency in Python Experience building and training machine learning models Previous data science experience in a relevant role Optional but advantageous skills: Insurance industry experience Knowledge of Databricks Key activities: Develop data services including deep learning and predictive analytics Perform data analysis and collection to support these services Enhance data sources through testing external data Collaborate with team More ❯

in Computer Science or equivalent practical experience. - At least 4+ years of server-side software development experience in languages such asPython, Java, Scala, or Go. - Experience withBig Datatechnologies likeSpark, Databricks,andAirflow. - Familiarity with cloud environments such asAWSor GCP and containerization technologies likeDockerandKubernetes. - Strong problem-solving skills and ability to learn new technologies quickly. - Excellent communication skills and ability to work … did you hear about this job? Select Have you worked with Python/Java/Scala/Go? Select Do you have experience with Big Data Technologies like Spark, Databricks,andAirflow? Do you have any experience with Microservices architecture and API development? If yes, please describe briefly. What are you salary expectations? Do you require visa sponsorship to work in More ❯

reusable, curated datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and … Data Science, Engineering, or related field; Master's/PhD preferred. - 10+ years in data strategy, analytics, or ML/AI leadership roles. - Proven experience with platforms like Snowflake, Databricks, Microsoft Fabric, etc. - Deep expertise in data architecture, pipeline orchestration, and real-time analytics. - Ability to influence executive stakeholders and communicate complex ideas clearly. - Strong leadership and organizational change skills. More ❯

reusable, curated datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and … Data Science, Engineering, or related field; Master's/PhD preferred. - 10+ years in data strategy, analytics, or ML/AI leadership roles. - Proven experience with platforms like Snowflake, Databricks, Microsoft Fabric, etc. - Deep expertise in data architecture, pipeline orchestration, and real-time analytics. - Ability to influence executive stakeholders and communicate complex ideas clearly. - Strong leadership and organizational change skills. More ❯

teams understand where new technology could pragmatically deliver value . Manage and monitor the cost, efficiency, and speed of data processing. Our Data Tech Stack Azure Cloud (SQL Server, Databricks, Cosmos DB, Blob Storage) ETL/ELT (Python, Spark, SQL) Messaging (Service Bus, Event Hub) DevOps (Azure DevOps, Github Actions, Terraform) Who you are A driven, ambitious individual who's … in ELT and ETL processes and tools Ability to write efficient code for data extraction, transformation, and loading (eg. Python, Spark and SQL) Proficiency with cloud platforms (particularly Azure Databricks and SQL Server) Ability to work independently Ability to communicate complex technical concepts clearly to both technical and non-technical audiences Desirable skills NoSQL databases (eg. Cosmos DB, DynamoDB, MongoDB More ❯