251 to 275 of 750 Microsoft-Azure Jobs in Berkshire

for a Principal/Tech Lead Full Stack Java Developer with 8yrs+ exp with Java 11/17, Spring MVC, REST API's, Microservices, AWS/GCP/Azure with leadership experience of driving high impact technical decisions - this role is 75% hands on/25% hands off leadership exp. Skills nice to have: Docker, Kubernetes, Cypress, Playwright More ❯

technology. Deep investment management/asset management domain knowledge across front office (portfolio & order management), operations, and distribution. Strong grasp of modern enterprise technology stacks : Cloud platforms (AWS, Azure, hybrid environments) Containerisation & orchestration (Kubernetes, microservices) API-first design & integration strategies Data platforms (data lakes, MDM, unified investment data hubs, analytics platforms Hands-on experience guiding systems development lifecycle More ❯

/CD practices Creative problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible More ❯

experience in data and technology consulting 8+ years leading technical teams in data engineering or analytics Expertise in modern data platforms such as Databricks, Snowflake, GCP, AWS, or Azure Strong understanding of tools like Apache Spark, Kafka, and Kubernetes Deep knowledge of data governance, strategy, and privacy regulations (GDPR, etc.) Strategic mindset with the ability to balance technical More ❯

understanding of core insurance platforms (e.g., Guidewire, Salesforce Financial Services Cloud). Knowledge of insurance regulatory frameworks (e.g., Solvency UK, FCA Consumer Duty). Expertise across Cloud (AWS, Azure, GCP), Data, AI, integration, and automation technologies. Experience leading architecture through all phases — from strategy to execution. Strong leadership and stakeholder engagement skills, including C-suite interaction. Architecture and More ❯

across a range of ML models, e.g. TensorFlow and scikit-learn Commercial experience working on short-term forecasting markets, across either energy, power or financial markets. GitHub or Azure DevOps knowledge is desired SQL knowledge is desired The successful Data Scientist will earn up to £80,000 and in addition there are exceptional benefits which come as part More ❯

transformation projects. Demonstrated success in delivering data centre migrations, consolidations, or hybrid/cloud transition programmes. Strong technical understanding of servers, storage, networking, virtualisation, and cloud platforms (AWS, Azure, or GCP). Experience working within structured governance frameworks and managing complex stakeholder environments. Solid grasp of ITIL processes, service transition, and change management best practices. Excellent leadership, communication More ❯

solution architecture, ideally within the Energy & Utilities sector. Proven track record designing and delivering large-scale, complex technology transformations for Tier 1 clients. Strong grasp of Cloud (AWS, Azure, GCP), Data, AI, and automation technologies. Experience leading architecture through all phases — from strategy and roadmap design to execution and governance. Deep understanding of sector-specific challenges and the More ❯

and workflow automation. Excellent stakeholder management and communication skills. Experience with Agile tools such as Jira and Confluence. Desirable: London Market or specialty insurance background. Cloud exposure (AWS, Azure, GCP). Experience with low-code/no-code configuration or automation tools. What’s on Offer: Salary £75,000-£120,000 + bonus & benefits. Hybrid working - approx. More ❯

and its application within technology solutions. Nice to Have: • Previous experience in the aviation, travel, or transport sectors. • Exposure to cloud-based or data-driven projects (e.g., AWS, Azure, GCP). • PMP, PRINCE2, or Agile certifications. More ❯

and its application within technology solutions. Nice to Have: • Previous experience in the aviation, travel, or transport sectors. • Exposure to cloud-based or data-driven projects (e.g., AWS, Azure, GCP). • PMP, PRINCE2, or Agile certifications. More ❯

data warehousing concepts and ETL/ELT patterns Experience with version control (Git), testing, and code review practices Familiarity with cloud-based data environments (e.g. AWS, GCP, or Azure) Exposure to modern data tools such as Airflow, dbt, or Snowflake Experience or strong interest in streaming technologies like Apache Kafka Interest in MLOps and modern data engineering best More ❯

. Experience leading multidisciplinary data teams in consulting or enterprise environments. Excellent communication skills with technical and non-technical stakeholders. Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales More ❯

Collaborate with cross-functional teams including product, DevOps, and data engineering to deliver end-to-end functionality that meets regulatory and business requirements. Leverage modern cloud services (AWS, Azure, or GCP) to deploy, monitor, and scale distributed systems in production environments. Establish and uphold engineering best practices, including CI/CD pipelines, automated testing, and peer code reviews More ❯

Architect within the London Insurance Market (Lloyd’s, Managing Agents, or Syndicates). Strong background in software and application architecture , ideally within .NET, Java, or cloud-native environments (Azure/AWS) . Deep understanding of insurance systems — such as policy administration, claims, exposure management, data platforms, and integration frameworks. Experience conducting technology landscape reviews and defining enterprise-level More ❯

with diverse audiences—from technical architects to CDOs. Deep Technical Expertise Across Data & AI: You possess comprehensive technical knowledge spanning the entire Data & AI landscape, including cloud platforms (Azure, Databricks, Snowflake, AWS &GCP). Knowledge of AI/ML, Gen AI and Agentic AI capabilities: You understand not just the "what" but the "how" and "why" behind these More ❯

pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark (using PySpark). Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage ). Exposure to workflow orchestration tools ( Apache Airflow, Prefect, or Dagster ). Bachelor's degree in Computer Science, Engineering More ❯

or similar languages for test automation. Experience with tools like Selenium, Appium, Espresso, and manual test management systems. Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps). Proven background in testing device OS (Android/Linux), APIs, and connected interfaces. Beneficial: Experience in medical device software, video protocol testing, and regulatory standards (e.g., IEC More ❯

queries (Candidate should know simple SQL queries like, Select, Outer, inner Joins, Select Top, and Basic SQL) Experience in Functional Automation Testing Tools, Selenium, Playwright etc. Experience in Azure and Dotnet Technologies Experience in Understanding and implementing Automation Frameworks. Experience in creation and maintenance of Keyword, Data Driven, Hybrid Automation Framework & Business Process Testing. Familiarity with process of More ❯

validation, and analysis. Proven experience gathering and translating business requirements in data-focused environments. Familiarity with data modelling, ETL processes, and pipeline design. Experience with cloud platforms (AWS, Azure, GCP) and data warehousing tools. Exposure to BI tools (Power BI, Tableau, Qlik). Understanding of version control (e.g., Git) and collaborative development workflows. Experience or knowledge of Foundry More ❯

experience in pipeline migration & optimization Excellent communication skills—technical and non-technical audiences Comfortable in fast-paced, client-facing environments Nice-to-Haves: Unity Catalog experience Certifications (Databricks, Azure, AWS) Industry experience in manufacturing or supply chain Exposure to pre-sales or proposal work 🌟 Why Join Us? Be part of a fast-growing team with a clear vision More ❯

Build and maintain secure AI architectures for complex models and pipelines. Oversee ethical AI governance, driving policy alignment and responsible AI adoption. Advise clients on secure cloud AI (Azure, AWS, GCP) and DevSecOps best practice. Communicate complex risks clearly to senior stakeholders and boards. What you’ll bring 7+ years’ strategic cybersecurity experience, ideally in consulting or advisory. More ❯

networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Excellent communication and More ❯

Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI/ML Partner of the Year award Preferred and Premier Partner of AWS, Google, NVIDIA, Snowflake, MS Azure Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and other leading analyst firms Recognized as an AIFinTech100 Company, 2022 by InsurTech Winner of Best More ❯

impact opportunities and measure value delivered. Tech stack is open for this hire to implement best practices but this is roughly what they are currently using Python, SQL, Azure (AWS or GCP if also fine) + experience with LLMs and GenAI is beneficial. Experience within a PE-backed or high-growth company is a strong advantage (but not More ❯