226 to 250 of 4,772 Azure Jobs in the UK

ownership mindset & enthusiasm to learn Nice to Have (Bonus) Knowledge of BI tools (Power BI/Tableau/Looker/Metabase) Basics of cloud platforms (AWS/GCP/Azure) or Docker Prior exposure to HR analytics or recruitment datasets What You’ll Get Practical exposure to solving real-world data problems in HR Tech Experience working on high More ❯

ownership mindset & enthusiasm to learn Nice to Have (Bonus) Knowledge of BI tools (Power BI/Tableau/Looker/Metabase) Basics of cloud platforms (AWS/GCP/Azure) or Docker Prior exposure to HR analytics or recruitment datasets What You’ll Get Practical exposure to solving real-world data problems in HR Tech Experience working on high More ❯

hours occasionally when required. Desirable Qualifications & Experience: Degree (or equivalent) in software engineering, systems engineering, or related field. Experience designing solutions to meet client requirements. Cloud platform accreditation (AWS, Azure) in DevOps or administration. CREST certification or equivalent security qualification. Chartered IT Professional status or equivalent. Hands-on experience with UI/UX design and implementation. Security Clearance: Due More ❯

hours occasionally when required. Desirable Qualifications & Experience: Degree (or equivalent) in software engineering, systems engineering, or related field. Experience designing solutions to meet client requirements. Cloud platform accreditation (AWS, Azure) in DevOps or administration. CREST certification or equivalent security qualification. Chartered IT Professional status or equivalent. Hands-on experience with UI/UX design and implementation. Security Clearance: Due More ❯

MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). More ❯

MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). More ❯

MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). More ❯

MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). More ❯

MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). More ❯

API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Ability to scope and effectively deliver projects What we offer Equity options - share in our success and growth. 10% employer More ❯

Scala or Golang. Experience with columnar, analytical cloud data warehouses (e.g., BigQuery, Snowflake, Redshift) and data processing frameworks like Apache Spark is essential. Experience with cloud platforms like AWS, Azure, or Google Cloud. Strong proficiency in designing, developing, and deploying microservices architecture, with a deep understanding of inter-service communication patterns. Extensive experience utilizing a remote procedure call (RPC More ❯

very welcome. API & Web Services - REST/RESTFul, SOAP, XML, JSON Cloud Platform proficiency - Knowing how to deploy, manage, and integrate services across cloud platforms is vital in either Azure, AWS, and/or more modern and agile iPaaS solutions such as Workato, Celigo, SnapLogic, Jitterbit or similar). Strong mental agility, problem-solving skills, and the ability to More ❯

very welcome. API & Web Services - REST/RESTFul, SOAP, XML, JSON Cloud Platform proficiency - Knowing how to deploy, manage, and integrate services across cloud platforms is vital in either Azure, AWS, and/or more modern and agile iPaaS solutions such as Workato, Celigo, SnapLogic, Jitterbit or similar). Strong mental agility, problem-solving skills, and the ability to More ❯

very welcome. API & Web Services - REST/RESTFul, SOAP, XML, JSON Cloud Platform proficiency - Knowing how to deploy, manage, and integrate services across cloud platforms is vital in either Azure, AWS, and/or more modern and agile iPaaS solutions such as Workato, Celigo, SnapLogic, Jitterbit or similar). Strong mental agility, problem-solving skills, and the ability to More ❯

very welcome. API & Web Services - REST/RESTFul, SOAP, XML, JSON Cloud Platform proficiency - Knowing how to deploy, manage, and integrate services across cloud platforms is vital in either Azure, AWS, and/or more modern and agile iPaaS solutions such as Workato, Celigo, SnapLogic, Jitterbit or similar). Strong mental agility, problem-solving skills, and the ability to More ❯

IDEs so strong hands-on experience in these areas will be highly valued. Extensive usage of recognised Test Management tools to account for test and reporting management, e.g. Testmo, Azure DevOps, Zephyr Ownership of Production Readiness activities through the delivery process; tracking of tasks and production of accurate and timely reporting. Develop detailed reports on system performance, reliability, and More ❯

IDEs so strong hands-on experience in these areas will be highly valued. Extensive usage of recognised Test Management tools to account for test and reporting management, e.g. Testmo, Azure DevOps, Zephyr Ownership of Production Readiness activities through the delivery process; tracking of tasks and production of accurate and timely reporting. Develop detailed reports on system performance, reliability, and More ❯

IDEs so strong hands-on experience in these areas will be highly valued. Extensive usage of recognised Test Management tools to account for test and reporting management, e.g. Testmo, Azure DevOps, Zephyr Ownership of Production Readiness activities through the delivery process; tracking of tasks and production of accurate and timely reporting. Develop detailed reports on system performance, reliability, and More ❯

with microservices and event-driven architectures. Solid understanding of relational databases, especially PostgreSQL. Experience designing and developing RESTful APIs and integrating with external systems. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerisation tools like Docker and Kubernetes. Knowledge of CI/CD practices and automated deployment pipelines. Excellent problem-solving skills and ability to debug complex systems. More ❯

experience with large scale datasets, data engineering workflows, and production automation. Python (production grade), SQL, Linux; strong software engineering (testing, type hints, code review, packaging). Cloud (AWS/Azure/GCP), CI/CD, Docker/Kubernetes; workflow orchestration (Airflow/Prefect); experiment tracking (MLflow/W&B). Machine Learning for time series/tabular data; LLM More ❯

influence technical discussions. Proven experience as a Technical Architect or similar role. In-depth knowledge of system design, software architecture, and development methodologies. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Expertise in architectural design, data pipelines, cloud platforms, and API development. Knowledge of microservices and containerisation (Docker, Kubernetes). Experience with security best practices and compliance More ❯

influence technical discussions. Proven experience as a Technical Architect or similar role. In-depth knowledge of system design, software architecture, and development methodologies. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Expertise in architectural design, data pipelines, cloud platforms, and API development. Knowledge of microservices and containerisation (Docker, Kubernetes). Experience with security best practices and compliance More ❯

influence technical discussions. Proven experience as a Technical Architect or similar role. In-depth knowledge of system design, software architecture, and development methodologies. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Expertise in architectural design, data pipelines, cloud platforms, and API development. Knowledge of microservices and containerisation (Docker, Kubernetes). Experience with security best practices and compliance More ❯

adjacent technologies, including AWS SageMaker, Kedro and MLflow. Strong skills in data preprocessing, wrangling, and augmentation techniques Experience deploying scalable AI solutions on cloud platforms (AWS, Google Cloud, or Azure) with enthusiasm for MLOps tools and practices Proficiency with version control systems including Git and GitHub Other Technologies You Might Encounter Our services are deployed to AWS, typically using More ❯

Agile, TDD and DevOps. Some proficiency in multiple programming languages such as Python, JavaScript, or similar. Extensive experience writing well-tested code. Good knowledge of cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code Experience with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns eg microservices and event-driven. Experience with containerization technologies More ❯