376 to 400 of 536 Databricks Jobs in the UK

Details • Salary : £80,000 – £150,000 • Working model : On-site 3+ days/week with UK healthcare clients • Tech stack : Python, NLP libraries, MLflow, Databricks, Azure, simulation tools • Visa : This role cannot sponsor Interested? Please apply below. ...

teams (0–10/0–15) . Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks, and ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards . Experience in insurance or regulated financial services preferred. ...

generate clear, actionable insights Experience working with stakeholders and translating requirements Comfortable working autonomously and managing your own workload Exposure to Azure or Databricks is beneficial but not essential What you’ll get in return for your experience Salary is up to £60,000 depending on experience, alongside a standard ...

generate clear, actionable insights Experience working with stakeholders and translating requirements Comfortable working autonomously and managing your own workload Exposure to Azure or Databricks is beneficial but not essential What you’ll get in return for your experience Salary is up to £60,000 depending on experience, alongside a standard ...

generate clear, actionable insights Experience working with stakeholders and translating requirements Comfortable working autonomously and managing your own workload Exposure to Azure or Databricks is beneficial but not essential What you’ll get in return for your experience Salary is up to £60,000 depending on experience, alongside a standard ...

languages like Python or R, with solid grounding in statistical methods (hypothesis testing, confidence intervals, p-values) and cloud platforms such as Databricks, Snowflake or BigQuery Proven leader of analytical teams in complex matrix environments, comfortable managing multiple stakeholders, deadlines and deliverables, and developing, coaching and motivating highly technical people ...

languages like Python or R, with solid grounding in statistical methods (hypothesis testing, confidence intervals, p-values) and cloud platforms such as Databricks, Snowflake or BigQuery Proven leader of analytical teams in complex matrix environments, comfortable managing multiple stakeholders, deadlines and deliverables, and developing, coaching and motivating highly technical people ...

languages like Python or R, with solid grounding in statistical methods (hypothesis testing, confidence intervals, p-values) and cloud platforms such as Databricks, Snowflake or BigQuery Proven leader of analytical teams in complex matrix environments, comfortable managing multiple stakeholders, deadlines and deliverables, and developing, coaching and motivating highly technical people ...

part with the rest of the IT division and other stakeholders to identify opportunities where AI can add value. Requirements: MS Technology Stack - Databricks, Fabric, Copilot etc. Exposure to traditional automation techniques (RPA) Data Warehousing and Data Platform experience (Data Factory, Fabric or similar) Strong understanding of Data Governance Apply ...

initiatives within complex organisations Experience building and deploying LLM‐powered applications Strong knowledge of RAG, embeddings, vector databases and retrieval architectures Experience with Azure, Databricks and modern cloud‐based AI platforms Track record delivering AI solutions into production environments Experience defining governance, monitoring and Responsible AI controls Excellent stakeholder management ...

/marketing analytics and campaign optimisation Strong understanding of statistical analysis (A/B testing, hypothesis testing, etc.) Experience with cloud analytics platforms (Databricks, Snowflake or BigQuery) Comfortable working in a matrix, fast-paced environment Strong communication skills with the ability to tell a clear story with data This ...

working with data platforms, data pipelines or data-heavy environments. Exposure to batch or streaming data workloads, such as Kafka, Spark, Airflow, Glue, EMR, Databricks or similar. Data observability experience. Previous public sector experience across multiple engagements. Consultancy experience would be beneficial, especially within environments such as Capgemini, Accenture, BJSS ...

working with data platforms, data pipelines or data-heavy environments. Exposure to batch or streaming data workloads, such as Kafka, Spark, Airflow, Glue, EMR, Databricks or similar. Data observability experience. Previous public sector experience across multiple engagements. Consultancy experience would be beneficial, especially within environments such as Capgemini, Accenture, BJSS ...

L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania ...

L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania ...

L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania ...

L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania ...

L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania ...

platforms, databases, APIs, and streaming technologies such as Kafka/MQTT Knowledge of data products, analytics, and scalable data solutions, ideally using tools like Databricks or Azure Data Factory Experience within manufacturing, FMCG/CPG, or high-speed production environments Strong problem-solving, communication, and stakeholder management skills Collaborative mindset ...

Familiarity with building AI capabilities that support knowledge extraction, decision support, and workflow automation across enterprise data ecosystems, including cloud‐based platforms such as Databricks and AWS. Experience defining or contributing to organisational best practices for AI engineering, including evaluation methods, governance, and scalable adoption approaches for generative/agentic ...

convert partnerships into a primary growth lever, driving co‐sell revenue, joint solutions, and marketplace‐led scale. Your focus will be MAG, Databricks and Snowflake. Key Responsibilities Define and execute EXL’s partner strategy across hyperscalers and data platforms. Position EXL as a strategic Data & AI transformation partner within hyperscaler ...

ability to align technical solutions with business strategy, enterprise architecture, and engineering standards. Strong knowledge of enterprise integration platforms, public cloud integration services (e.g., Databricks, Microsoft Azure Integration Services, ServiceNow), and application, data, process, service, and system integration toolsets. Ability to evaluate and recommend emerging technologies and alternative approaches. Awareness ...

including GA4 and/or Firebase (for app analytics), SQL (working with large-scale data environments), and large-scale data platforms (e.g. BigQuery, Teradata, Databricks); nice-to-have experience with customer segmentation and personalisation frameworks, Python or similar tools for advanced analysis or experimentation, and working in multi-market/ ...

including GA4 and/or Firebase (for app analytics), SQL (working with large-scale data environments), and large-scale data platforms (e.g. BigQuery, Teradata, Databricks); nice-to-have experience with customer segmentation and personalisation frameworks, Python or similar tools for advanced analysis or experimentation, and working in multi-market/ ...

including GA4 and/or Firebase (for app analytics), SQL (working with large-scale data environments), and large-scale data platforms (e.g. BigQuery, Teradata, Databricks); nice-to-have experience with customer segmentation and personalisation frameworks, Python or similar tools for advanced analysis or experimentation, and working in multi-market/ ...