251 to 275 of 937 Azure Jobs in the North of England

model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender systems/personalisation, and increasingly, applied LLM/GenAI use cases, reflecting where ...

/SAM, SPM, HR, CSM, etc.) Advanced scripting and integration skills JavaScript, SQL, API Web Services Experience integrating ServiceNow with cloud infrastructure (e.g. AWS, Azure, GCP) What's in it for you Competitive basic salary plus an extensive benefits package Up to 30 days' holiday per year Private medical ...

working within public sector or regulated environments Knowledge of BPMN, UML, Design Thinking, or structured solution design techniques Exposure to cloud platforms such as Azure, AWS, Salesforce, or emerging technologies including GenAI Familiarity with UX principles or wireframing tools such as Figma or Balsamiq Professional Business Analyst certification Security ...

environments Experience with automation tooling, workflow orchestration, or infrastructure-as-code approaches. Use of Terraform, Ansible and Python. Experience with Cloud networking, Azure, AWS, Aviatrix, beneficial. Experience with F5 and proxies beneficial. Experience with Zscaler and GlobalProtect or in perimeter or secure access use cases beneficial. Demonstrated experience leading ...

following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience ...

Next.js, Vue.js, Angular) Advanced web topologies (Headless, Jamstack) Storage technologies like SQL, Redis and SOLR Automated UI and API testing (BDD, Selenium) Cloud technologies (Azure/AWS/GCP) Containerised environments using Kubernetes, Docker and CI/CD pipelines. What you'll have: Our Lead Software Engineer will have ...

delivery techniques. Ensure applications are built and deployed using secure and repeatable processes. Support cloud-native development principles and modern DevOps practices. Work within Azure-based environments and contribute to ongoing platform improvements. Promote automation across build, test and deployment activities. Operational Support & Reliability Take ownership of the operational ...

integration, APIs and data governance.Proven record of delivering end-to-end digital products in Agile (Scrum/SAFe) environments.Hands-on experience with cloud platforms (Azure, AWS, GCP), SQL/NoSQL and data lakes/warehouses.Effective stakeholder management, balancing business, technical and partner needs.Deep understanding of rating, pricing, and rule ...

integration, APIs and data governance.Proven record of delivering end-to-end digital products in Agile (Scrum/SAFe) environments.Hands-on experience with cloud platforms (Azure, AWS, GCP), SQL/NoSQL and data lakes/warehouses.Effective stakeholder management, balancing business, technical and partner needs.Deep understanding of rating, pricing, and rule ...

ability to integrate non-functional requirements (e.g. security, performance, scalability) into software design.Practical experience working with major public cloud platforms such as AWS or Azure, including SaaS and PaaS solutions.Excellent communication skills—capable of clearly articulating technical concepts in both verbal and written formats, including technical documentation and presentations.Confidence ...

quickly on new applications, platforms, and support processes, with strong learning agility and immediate contribution in a fast-paced production environment. Much Preferred Skills Azure Cloud experience preferred. Knowledge of automation/scripting using Python, Shell, or PowerShell. Exposure to DevOps/SRE practices, CI/CD pipelines ...

Linux operating systems, focusing on Debian and RHEL/CentOS.Cloud service providers such as Google Cloud Platform, AWS (knowledge of other platforms such as Azure would also be beneficial).Infrastructure as Code best practises (Terraform).Configuration Management (e.g. Ansible, Puppet, Packer).Knowledge of CI/CD processes (Jenkins, GitHub ...

operating systems, focusing on Debian and RHEL/CentOS. Cloud service providers such as Google Cloud Platform, AWS (knowledge of other platforms such as Azure would also be beneficial). Infrastructure as Code best practises (Terraform). Configuration Management (e.g. Ansible, Puppet, Packer). Knowledge of CI/ ...

experience, with practical knowledge of DevOps deployment pipelines and containerisation using Docker and Kubernetes. Proven track record in building cloud-native applications, particularly within Azure environments. Experience in developing GenAI applications, including retrieval-augmented generation (RAG), prompt and context engineering, and integrating large language model (LLM) APIs. Understanding ...

engineering experience, with practical knowledge of DevOps deployment pipelines and containerisation using Docker and Kubernetes.Proven track record in building cloud-native applications, particularly within Azure environments.Experience in developing GenAI applications, including retrieval-augmented generation (RAG), prompt and context engineering, and integrating large language model (LLM) APIs.Understanding of Agentic ...

helping to build smarter, more automated ways of working that improve service reliability and speed up delivery. From designing secure connectivity solutions across AWS, Azure and Oracle Cloud Infrastructure to leading technical improvements and automation initiatives, you'll have the opportunity to make a real impact from day one. ...

redress them, learn from them and make improvements for the long-term. Docker Java/Scala Event streaming technologies such as Kafka, Pulsar, or Azure Event Hub Integration with Collibra Apache Iceberg Apache Arrow Pyspark AI engineering (Snowflake AI, Langchain, Llamaindex, Pinecone, etc) Insight is committed to being ...

Experience in a senior or lead data engineering role. A strong background in designing and implementing cloud-based data platforms using technologies such as Azure, Databricks, Snowflake or similar. Strong coding skills, such as SQL or Python. Experience designing data models and database structures. A track record of integrating ...

support and formal service acceptance Ability to monitor platform performance, reliability and adoption in live operation Strong understanding of security, RBAC and integration with Azure AD and enterprise controls Awareness of cost, performance and scalability trade-offs across compute and storage Familiarity with DevOps practices including CI/ ...

compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices.Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications.Experience with MLOps practices including model deployment, monitoring, evaluation, and CI/ ...

senior or lead capacityStrong experience designing, building and operating scalable data platforms and pipelines in complex environmentsExperience with cloud-native data platforms across Azure, AWS, GCP or similar enterprise environmentsDeep understanding of data modelling, data quality, metadata, lineage and governance principlesAbility to make pragmatic, risk-aware technical decisions balancing ...

senior or lead capacityStrong experience designing, building and operating scalable data platforms and pipelines in complex environmentsExperience with cloud-native data platforms across Azure, AWS, GCP or similar enterprise environmentsDeep understanding of data modelling, data quality, metadata, lineage and governance principlesAbility to make pragmatic, risk-aware technical decisions balancing ...

responsible AI, model governance and risk management practices within regulated environments. Experience working within financial services or other highly regulated industries. Exposure to Azure, AWS or multi‐cloud environments. Building technical communities, mentoring programmes or engineering guilds. About working for us Our ambition is to be the leading ...

pipelines using tools such as Jenkins or GitLab CI Performance optimisation (bundle size, lazy loading, rendering performance) Cloud platforms and static hosting (AWS, Azure or GCP) Observability tooling including logging, metrics and frontend monitoring Package management with npm, yarn or pnpm What Success Looks Like You’ll demonstrate: Technical ...

pipelines using tools such as Jenkins or GitLab CI Performance optimisation (bundle size, lazy loading, rendering performance) Cloud platforms and static hosting (AWS, Azure or GCP) Observability tooling including logging, metrics and frontend monitoring Package management with npm, yarn or pnpm What Success Looks Like You’ll demonstrate: Technical ...