976 to 1,000 of 7,210 Azure Jobs in the UK

ESSENTIAL) REQUIREMENTS:Strong software development experience in one of Java, Scala, or PythonSoftware development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment Proficient in SQL and SQL extensions ...

development tools.Experience with core banking systems (e.g., Equation), Treasury systems, and finance systems.Proficiency in SQL Server and database management.Familiarity with cloud technologies (e.g., AWS, Azure, Google Cloud) is a plus.Leadership Skills:Excellent leadership and team management skills.Strong problem-solving and decision-making abilities.Exceptional communication and interpersonal skills.Certifications:Relevant certifications ...

similar scripting language, with experience using scripts to automate operational tasks.Experience working across hybrid environments (on-premises and cloud platforms such as AWS, Azure, or GCP).“Nice To Have” Skills and Experience:Experience supporting large-scale or multi-cluster environments across different locations or infrastructure platforms.Experience using Codex ...

concept to production.Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers).Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP).Deep expertise in MLOps principles, scalable model deployment, model governance, and the practical application of responsible AI within enterprise environments.Excellent communication ...

technical stakeholders. Nice to haves: Experience securing API access and implementing access control mechanisms at the application level. Multi‐cloud infrastructure experience – AWS, Azure, GCP, and more. Proficiency in integrating IAM solutions with applications built using frameworks such as Java, Python, Node.js, or .NET. Mentorship/leadership experience supporting ...

analytical workflows. Hands‐on experience with machine learning frameworks such as scikit‐learn, TensorFlow, PyTorch, or similar. Strong experience with cloud platforms (AWS, Azure, or GCP) and building cloud‐native systems. Experience with modern data platforms such as Snowflake, BigQuery, or Databricks. Familiarity with Infrastructure as Code, microservices ...

automation/configuration management tools like Ansible, Chef, or Puppet.Deep knowledge of CI/CD pipelines and tools such as GitHub Actions, Jenkins, or Azure DevOps.Experience managing Kubernetes and containerized environments (Docker, Helm).Familiarity with log aggregation and analysis platforms like ELK Stack or Splunk.Excellent leadership, communication, and collaboration ...

/SNS NATS Understanding of: Event sourcing Idempotency Retry strategies Dead-letter queues Eventual consistency Cloud & DevOps Experience with cloud platforms: AWS Azure Google Cloud Platform Hands-on knowledge of: Docker Kubernetes Helm Terraform CI/CD pipelines Infrastructure as Code Observability & Performance Experience implementing: Centralized logging Distributed tracing ...

proactive approach to security, reliability and continuous improvement. Essential qualifications: > You should have hands-on experience with at least one major cloud provider (AWS, Azure, GCP or Oracle Cloud) > Strong proficiency in CI/CD, Infrastructure as Code and containerisation (e.g. Docker, Kubernetes) > Proven ability to build and maintain ...

proactive approach to security, reliability and continuous improvement. Essential qualifications: > You should have hands-on experience with at least one major cloud provider (AWS, Azure, GCP or Oracle Cloud) > Strong proficiency in CI/CD, Infrastructure as Code and containerisation (e.g. Docker, Kubernetes) > Proven ability to build and maintain ...

production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, model governance, and the practical application of responsible AI within enterprise environments. ...

related ML libraries.Strong background in applied machine learning, model development, and data engineering, with an appreciation of responsible AI principles.Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, and Redshift.Demonstrated ability to lead cross-functional teams and mentor junior practitioners.Ability to communicate complex technical concepts ...

tools)Extensive experience in Entity-Relationship modelling and Dimensional modellingExperience with Cloud Data Warehousing (eg Snowflake, Databricks or BigQuery) and Cloud (AWS, GCP or Azure)Familiarity with TableauExcellent communication and problem solving skills and the ability to translate business requirements into technical requirementsAble to architect custom AI solutions ...

Windows Server administration Networking technologies including firewalls, load balancers and switching architecture DNS administration and configuration Active Directory Hyper-V virtualisation Enterprise storage technologies Azure DevOps and CI/CD pipelines Infrastructure and system monitoring solutions SolarWinds, Datadog, Grafana and Elastic SonarQube Don't worry ...

/CD tools such as GitHub Actions, Jenkins, or DroneCI.Experience with configuration as code tools like Terraform, or Cloudless.Strong knowledge of cloud platforms (AWS, Azure, GCP).Familiarity with containerization technologies (Docker, Helm/Kubernetes).Scripting skills in languages such as Python, Bash, or PowerShell.Understanding of networking, security, and system ...

We are seeking a talented and detail-oriented Applied AI Engineer to join our Global Data Science team and help internal technology and commercial teams adopt CCI’s approved AI tooling effectively. The ideal candidate ...

Experience supporting highly available and business-critical systems. Understanding of incident management, resilience engineering, and operational excellence practices. Desirable Skills Experience with cloud platforms (Azure, AWS, or GCP). Knowledge of containerisation technologies (Docker, Kubernetes). Experience with CI/CD pipelines and Infrastructure as Code. Experience working within ...

/OpenEmbedded or embedded Linux build systemsExperience with containerization (Docker) and CI infrastructureKnowledge of Infrastructure as Code (Ansible, Terraform)Exposure to cloud platforms (AWS, Azure, GCP)Experience with test automation frameworks and validation pipelinesData analytics and dashboarding for CI/test metricsIn Return:You will have the opportunity ...

Strong experience operating Kubernetes in production environments, including cluster administration, workload management, networking, security, and performance optimisation Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, with a strong understanding of managed cloud services Hands‐on experience with GitOps methodologies and related tooling Experience with infrastructure ...

e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands‐on expertise in designing and delivering complex proofs‐of‐concept (PoCs). Pre‐Sales & Customer‐Facing Skills Proven ability ...

clearance. Your future duties and responsibilities Architect, build and operate cloud infrastructure Design and deliver secure, scalable, fault-tolerant infrastructure across AWS (and potentially Azure/GCP), optimised for performance, availability, and cost. Support and operate live systems Maintain deployment environments, support production systems, and manage changes to live ...

scalable, and robust code in PythonFamiliarity with analytics libraries (e.g., pandas, numpy, matplotlib), distributed computing frameworks (e.g., Spark, Dask), and cloud platforms (e.g., AWS, Azure, GCP)Basic understanding or exposure to containerization technologies such as Docker and Kubernetes would be beneficialExposure to software engineering concepts and best practices, including ...

technical liaison between engineering teams and business users, helping translate analytical needs into scalable Databricks-based solutions.Your expertiseYou have:• proven experience with Azure and Databricks in large-scale data environments• strong understanding of Spark, Hadoop ecosystems and big data engineering concepts• hands-on data engineering experience• experience delivering ...

libraries. Strong background in applied machine learning, model development, and data engineering, with an appreciation of responsible AI principles. Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, and Redshift. Demonstrated ability to lead cross-functional teams and mentor junior practitioners. Ability to communicate complex ...

working effectively within a collaborative team environment. Desirable AttributesPrior internship experience in a software development role.Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerisation technologies (e.g., Docker, Kubernetes).Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill.#LI-JB1About usEbury delivers sophisticated, integrated ...