1,901 to 1,925 of 7,198 Azure Jobs in England

About BigHand BigHand offers technology solutions for busy legal professionals that provide data and insights to increase value and profits. Through our expert knowledge and innovative technology, we enable our customers to achieve enhanced efficiency ...

Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud What's in It for You? At Scale Factory, we believe in recognising and rewarding great work. Here's what ...

platforms, rating engines, or commercial actuarial software (e.g., Guidewire, Radar, ResQ, Emblem). Experience with cloud data platforms or enterprise data warehouses (e.g., Snowflake, Azure, AWS). Experience with data visualisation tools (e.g., Power BI, Tableau). Prior experience in a product owner, business analyst, or product management capacity ...

Familiarity with integration concepts (APIs, SFTP/file-based transfers, message queues) preferred. Exposure to cloud data or logging/monitoring tools (AWS or Azure) preferred. Financial services, banking, or securities-based lending experience preferred. Join us and make an impact while growing your career at Supernova! #J ...

/Nice‐to‐Have Skills Practical knowledge of Python, particularly for playbook actions, scripting, or custom integrations. Experience working with AWS and/or Azure environments. Understanding of cloud security principles and services. Knowledge of security engineering controls, particularly identity and access management (IAM). Experience working with APIs ...

small, cross functional Agile squads (5–9 people). Exposure to system analysis activities (data mapping, embedded logic interpretation). Experience using backlog tools (Azure DevOps, Jira) to manage Epics and Stories. An awareness of secure development practices, data privacy requirements and how they influence design. We are committed ...

provide guidance on complex AI engineering challenges. Technical Expertise: Deep expertise in AI/ML frameworks—TensorFlow, PyTorch, Scikit‐Learn, Transformers—cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision, or reinforcement learning. Engineering Excellence: Proven experience building ...

problem-solving and innovation. Proficiency in at least one of the following data analysis tools and languages, such as Python, SQL, MS/Azure Foundry and data visualisation tools (e.g., Tableau, Power BI). CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating ...

Proven track record of presenting and influencing architecture decisions through technical governance and assurance forums. Knowledge of cloud hosting, containerisation and networking, including AWS, Azure and GCP. Application of Agile, DevOps, Continuous Integration (CI) and Continuous Delivery (CD) practices. Proven track record of supporting technology projects, programmes and portfolios ...

grade data platforms. Strong hands-on expertise with Databricks, Spark, Delta Lake, Python and SQL. Good understanding of cloud-based data engineering, ideally within Azure environments. Experience working with Infrastructure as Code tools such as Terraform, Bicep or similar. Solid understanding of data modelling, ETL/ELT processes, data ...

Privileged Access Management (PAM) Hands-on experience with leading PAM solutions (e.g. CyberArk, BeyondTrust, Thycotic/Delinea) Experience working in cloud environments (AWS, Azure, GCP) and understanding of cloud-specific PAM requirements Strong understanding of PAM principles, controls, and best practices Solid knowledge of IAM concepts, security frameworks ...

Proven track record of presenting and influencing architecture decisions through technical governance and assurance forums. Knowledge of cloud hosting, containerisation and networking, including AWS, Azure and GCP. Application of Agile, DevOps, Continuous Integration (CI) and Continuous Delivery (CD) practices. Proven track record of supporting technology projects, programmes and portfolios ...

Business Process Outsourcing, Technology Outsourcing. Preferred Skills: Modern engineering delivery experience Knowledge and experience of Scaled agile delivery Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-native integration solutions. Knowledge of data integration and ETL (Extract, Transform, Load) processes. Familiarity with DevOps practices and tools ...

willingness to learn a base level of Spark. Hands‐on expertise with complex proofs‐of‐concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Nice to have: Databricks Certification ...

formats, including data visualisations and reports* Support architecture and technical delivery teams to ensure data products meet business requirements* Use **agile delivery methodologies**, leveraging **Azure DevOps** to manage user stories, tasks, dependencies, risks, and issues* Perform end-to-end analytical activities including data discovery, profiling, validation, transformation, analysis ...

Model Context Protocol (MCP) and agent communication standards Experience with vector databases, RAG architectures, and semantic search systems Familiarity with cloud platforms (AWS, Azure, GCP) and their AI services Experience in SaaS or enterprise software companies Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining ...

Proven track record of presenting and influencing architecture decisions through technical governance and assurance forums. Knowledge of cloud hosting, containerisation and networking, including AWS, Azure and GCP. Application of Agile, DevOps, Continuous Integration (CI) and Continuous Delivery (CD) practices. Proven track record of supporting technology projects, programmes and portfolios ...

Experience Core Software Engineering JavaScript frameworks (React, NextJS) TypeScript Python Java REST API development OpenAPI/Swagger Cloud & Infrastructure Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Data & Search Technologies Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Testing & Quality Unit testing ...

defence and security Experience of working with MOD Accreditors; and Knowledge of Onsite/project tech stack includes but is not limited to Azure, AWS, Docker, Kubernetes, Apache (NiFi, Kafka), NodeJS, Typescript, MongoDB, AI, Machine Learning etc. Just as important are curiosity, strong problem solving ability, and the motivation ...

strong plus. Solution Architecture: A proven track record of designing and owning data platform architectures at scale, across at least one major cloud (Azure, AWS or GCP), with a clear grasp of the non-functional requirements that make or break them. Data Engineering Depth: Strong command of Spark ...

AIOps.* Closed-loop triggers.* Prompt engineering and context optimisation.* AI observability and evaluation.**Preferred Certifications*** Google Cloud AI/ML or Vertex AI certification.* Azure AI Engineer or AWS Machine Learning certification.* Databricks, BigQuery, or data engineering certification.* Kubernetes certification.* TM Forum Autonomous Networks or Open API certification.**Nice ...

willingness to learn a base level of Spark. Hands‐on expertise with complex proofs-of-concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Nice to have: Databricks Certification ...

Actions, ArgoCD, or Jenkins. Experience with vLLM, Ray, MLflow, LangChain/LangSmith, DeepSpeed, or Hugging Face TGI. Solid background in AWS/GCP/Azure, Kubecost, and GPU cost optimisation techniques. Strong skills in Python, Bash, or Go; deep knowledge of Linux kernel tuning and performance monitoring. Our Commitment ...

Doing Architecting Advanced Data Solutions Shape End-to-End Data Architectures: Define conceptual and logical models for data lakes, warehouses, and hybrid deployments (AWS, Azure/Fabric), aligning with key performance and cost objectives. Embed Automation & Monitor: Reduce complexity and maximise uptime through DevOps practices, ensuring compliance with ...

planet. Your impact Secure, repeatable deployments across enterprise cloud environments. Increasingly, Gigaton deploy cloud workloads across GCP, AWS, and Azure, so that we can deploy ML‐Ops and data solutions inside our customer’s perimeter. You will help to design, simplify, and improve our entire stack so that ...