176 to 200 of 4,217 Azure Jobs in England

practices and supporting software in a production environment Experience with tackling performance and scalability issues on large, high-throughput systems Advantageous: Experience with evolving architectures and cloud-native architecture (Azure, AWS or GCP) Knowledge of GIT usage and pull request etiquette Experience with JavaScript frameworks (e.g., Angular, React, Svelte, Vue, AngularJS, Knockout) Interest in containerisation (Kubernetes/Docker) Experience More ❯

experience leading small technical teams , including mentoring and delivery oversight. Strong communication and stakeholder management skills across technical and non-technical audiences. Desirable Experience with multi-cloud environments (AWS, Azure, hybrid). Familiarity with site reliability engineering (SRE) principles and production systems support. Experience driving innovation, technical transformation, and improvements in ways of working. What's on Offer Competitive More ❯

experience leading small technical teams , including mentoring and delivery oversight. Strong communication and stakeholder management skills across technical and non-technical audiences. Desirable Experience with multi-cloud environments (AWS, Azure, hybrid). Familiarity with site reliability engineering (SRE) principles and production systems support. Experience driving innovation, technical transformation, and improvements in ways of working. What's on Offer Competitive More ❯

experience leading small technical teams , including mentoring and delivery oversight. Strong communication and stakeholder management skills across technical and non-technical audiences. Desirable Experience with multi-cloud environments (AWS, Azure, hybrid). Familiarity with site reliability engineering (SRE) principles and production systems support. Experience driving innovation, technical transformation, and improvements in ways of working. What's on Offer Competitive More ❯

Flask, or FastAPI) PostgreSQL Experience with building and scaling SaaS platforms in production. Strong background in software architecture, microservices, and API design. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Excellent communication skills, capable of motivating and aligning technical teams. Desirable: Experience with AI tools, APIs, ML pipelines, containerisation (Docker/Kubernetes), event-driven architecture (Kafka More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

record of delivering innovative technology solutions. Strong programming skills in Python, C#, or similar languages. Experience with CI/CD pipelines, containerisation (Docker/Kubernetes) Familiarity with cloud platforms (Azure, AWS, or GCP) Understanding of data engineering principles, including ETL, data pipelines, and database management. Working knowledge of ML/AI concepts and technologies, including model deployment and monitoring. More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

in areas of application platform development, web and mobile development, cloud, integration, security, etc. " Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure " Understanding of distributed computing paradigm and exposure to building highly scalable systems. " Experience with platform modernization and cloud migration projects " Expertise in Agile development methodologies like TDD, BDD, Performance 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 ❯

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 ❯