76 to 100 of 1,462 Azure Jobs in the City of London

with data science platforms such as Databricks , Dataiku , AzureML , or SageMaker , and machine learning frameworks such as TensorFlow , Keras , PyTorch , and scikit-learn . Expertise in cloud platforms ( AWS , Azure , Google Cloud ) and experience deploying solutions using cloud provisioning tools such as Terraform . Strong background in technology deployment, including use of Docker , Kubernetes , CI/CD platforms ( Jenkins More ❯

with data science platforms such as Databricks , Dataiku , AzureML , or SageMaker , and machine learning frameworks such as TensorFlow , Keras , PyTorch , and scikit-learn . Expertise in cloud platforms ( AWS , Azure , Google Cloud ) and experience deploying solutions using cloud provisioning tools such as Terraform . Strong background in technology deployment, including use of Docker , Kubernetes , CI/CD platforms ( Jenkins More ❯

and leading multi-functional teams Must Have Hands on experience in GHE, TFS, Urban Code Deploy (Or equivalent deployment tools) Application's migration experience from on prem VMs to Azure Virtual Service or equivalent a huge plus Scripting and basic programming capability is a big plus. Excellent communication and experience of managing client stakeholder independently. More ❯

reliable, low-latency data for analytics and reporting. 🎯 What we’re looking for: 5+ years’ experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and More ❯

reliable, low-latency data for analytics and reporting. 🎯 What we’re looking for: 5+ years’ experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and More ❯

containerized environments (Docker/Kubernetes). Exposure to other messaging platforms (Kafka, RabbitMQ, MQ). Understanding of DevOps tools and CI/CD pipelines. Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native Solace deployments. Why Join Us? Join a multi-discipline team, delivering advanced Messaging APIs, developing tools, administering , supporting low latency, high throughput messaging system for More ❯

Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. Proficiency in Python, SQL, and Spark optimization techniques. Experience working with cloud data platforms such as Azure Data Lake, AWS S3, or GCP BigQuery. Strong understanding of data quality frameworks, testing, and CI/CD pipelines for data workflows. Excellent communication skills and ability to collaborate More ❯

containerized environments (Docker/Kubernetes). Exposure to other messaging platforms (Kafka, RabbitMQ, MQ). Understanding of DevOps tools and CI/CD pipelines. Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native Solace deployments. Why Join Us? Join a multi-discipline team, delivering advanced Messaging APIs, developing tools, administering , supporting low latency, high throughput messaging system for More ❯

Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. Proficiency in Python, SQL, and Spark optimization techniques. Experience working with cloud data platforms such as Azure Data Lake, AWS S3, or GCP BigQuery. Strong understanding of data quality frameworks, testing, and CI/CD pipelines for data workflows. Excellent communication skills and ability to collaborate More ❯

language (we use .NET) and any modern javascript framework (we use React) Experience working with databases (SQL and NoSQL), APIs, and web technologies. Experience with cloud platforms (AWS, GCP, Azure) Solid understanding of software engineering principles, including clean code, testing, and version control (git). Strong problem-solving skills and the ability to break down complex technical issues and More ❯

language (we use .NET) and any modern javascript framework (we use React) Experience working with databases (SQL and NoSQL), APIs, and web technologies. Experience with cloud platforms (AWS, GCP, Azure) Solid understanding of software engineering principles, including clean code, testing, and version control (git). Strong problem-solving skills and the ability to break down complex technical issues and More ❯

Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like Docker and Kubernetes. Experience across multi cloud environments To discuss this or wider Technology roles with our recruitment team, all you need to More ❯

etc.) • Strong proficiency in Java, Python, or Scala • Solid understanding of event-driven architecture and data streaming patterns • Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure • Familiarity with Docker, Kubernetes, and CI/CD pipelines • Excellent problem-solving and communication abilities Preferred: Candidates with experience in Confluent Kafka and its ecosystem will be given preference More ❯

Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like Docker and Kubernetes. Experience across multi cloud environments To discuss this or wider Technology roles with our recruitment team, all you need to More ❯

etc.) • Strong proficiency in Java, Python, or Scala • Solid understanding of event-driven architecture and data streaming patterns • Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure • Familiarity with Docker, Kubernetes, and CI/CD pipelines • Excellent problem-solving and communication abilities Preferred: Candidates with experience in Confluent Kafka and its ecosystem will be given preference More ❯

in at least one modern object-oriented programming language (preferably Java) and willingness to learn new technologies. Proven experience developing microservices and deploying them on major cloud providers (AWS, Azure, or GCP). Working knowledge of containers and container orchestration (e.g. Docker, Kubernetes). Experience with non-SQL databases (e.g. DynamoDB, MongoDB). Strong understanding of RESTful APIs and More ❯

in at least one modern object-oriented programming language (preferably Java) and willingness to learn new technologies. Proven experience developing microservices and deploying them on major cloud providers (AWS, Azure, or GCP). Working knowledge of containers and container orchestration (e.g. Docker, Kubernetes). Experience with non-SQL databases (e.g. DynamoDB, MongoDB). Strong understanding of RESTful APIs and More ❯

SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control More ❯

SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control More ❯

Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Sagemaker Key Details Reporting to Lead Data Scientist Hours Full time Location London - Hybrid WFH model, x2 days a week More ❯

Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Sagemaker Key Details Reporting to Lead Data Scientist Hours Full time Location London - Hybrid WFH model, x2 days a week More ❯

with Microsoft Fabric Solid understanding of DataOps, CI/CD, and automation Hands-on experience with Jira, ETL/ELT, and data modelling Familiarity with Power BI, DAX, or Azure DevOps Excellent communication and stakeholder engagement skills Consulting or client-facing experience is a plus 🌱 Career Progression: Clear pathway to Solutions Architect , with opportunities to lead technical strategy and More ❯

on experience across AI domains: NLP, NLG, CV, ML, GenAI. Expertise in fine-tuning/training LLMs and Graph RAG solutions in production. Proficiency in cloud services and tools: Azure, Databricks, Azure ML, Vertex AI, Azure AI Services, Azure DevOps. Strong Python and LLM libraries experience: langchain, LangGraph, semantic kernel, promptflow, Autogen. Software engineering skills, including … Gen AI model deployment, monitoring, CI/CD pipelines (Weights & Biases, GitHub). Strong understanding of AI security, compliance, and ethical best practices. Desirable: AI/ML certifications (e.g., Azure AI Engineer Associate). Excellent collaboration, communication, and problem-solving skills. More ❯

on experience across AI domains: NLP, NLG, CV, ML, GenAI. Expertise in fine-tuning/training LLMs and Graph RAG solutions in production. Proficiency in cloud services and tools: Azure, Databricks, Azure ML, Vertex AI, Azure AI Services, Azure DevOps. Strong Python and LLM libraries experience: langchain, LangGraph, semantic kernel, promptflow, Autogen. Software engineering skills, including … Gen AI model deployment, monitoring, CI/CD pipelines (Weights & Biases, GitHub). Strong understanding of AI security, compliance, and ethical best practices. Desirable: AI/ML certifications (e.g., Azure AI Engineer Associate). Excellent collaboration, communication, and problem-solving skills. More ❯

Azure Cloud Migration Architect (AVS & Terraform Transformation) £1,000 per day Hybrid – London Reinsurance We’re working an Insurance firm on a high-impact Azure migration programme, and they’re looking for a hands-on Cloud Infrastructure Architect to lead the final stage of their migration from on-prem VMware to Azure AVS. This is a strategic … cloud infrastructure going forward. The Role Lead the AVS migration, working closely with Microsoft and cloud delivery partners. Drive the Infrastructure-as-Code transformation — moving from legacy Terraform to Azure Verified Modules (AVM). Design and implement robust Azure infrastructure, including networking, DR, backup, monitoring, and FinOps. Collaborate across security, operations, and strategy teams to build a secure … by-design, automated cloud environment. Provide leadership and technical authority to partners delivering cloud optimisation, testing, and documentation. What You’ll Bring Expert-level knowledge of Azure Infrastructure, AVS, and Terraform/AVM. Proven experience leading large-scale cloud migrations. Deep understanding of IaC, automation, disaster recovery, and cost optimisation. Strategic thinker with the ability to challenge the baseline More ❯