1,176 to 1,200 of 3,824 Azure Jobs in London

understanding of data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem‐solving skills and ability to work independently ...

driven decision making and for establishing best practice Line management experience - able to give feedback and mentor more junior colleagues Qualifications: Experience working with Azure, AWS or Google Cloud Experienced in IT architecture and software development lifecycles Experienced with structured and unstructured data Experience in combining qualitative and quantitative ...

stack. Implement CI/CD pipelines, automated testing, and monitoring solutions. Contribute to infrastructure planning, deployment, and optimization in cloud environments (AWS, GCP, or Azure). Mentor junior developers and promote engineering best practices. Required Qualifications 5+ years of professional software engineering experience. Proven experience with React and Next.js ...

About You Essential Experience Strong background in designing architecture for complex digital systems Experience with enterprise systems, APIs/integration, and cloud platforms (AWS, Azure, or GCP) Proven ability to produce and review architecture artefacts using modelling approaches (e.g. C4, UML, ArchiMate) Experience working across the full delivery life ...

Master's degree in Computer Science, Information Technology, or a related discipline. Relevant certifications in networking, security, or cloud technologies (CCNA, AWS, Azure, etc.) are a strong advantage. Prior experience in BFSI, Capital Markets, or similarly regulated enterprise environments is highly desirable. Demonstrated ability to operate in a global ...

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 ...

data ingestion and integration pipelines (batch, streaming, API-based), ensuring high availability and performance. Drive platform engineering, leveraging modern cloud technologies (AWS, Snowflake, Databricks, Azure Synapse) to deliver scalable and reliable solutions. Collaborate closely with business stakeholders, data engineers, and analytics teams to translate industry needs into innovative technical ...

middleware such as MuleSoft to connect Salesforce with other systems. Strong experience of DevOps and CI/CD tooling (e.g. Git, Copado, Gearset, Azure DevOps), automated testing, and release management on the Salesforce platform. A good understanding of Salesforce architecture, data modelling, security, governor limits, and platform best practices. ...

such as Visio or equivalent Working knowledge of integrations, system interactions, data quality, Excel, reporting tools, backlog management and UAT Experience using Jira or Azure DevOps, Confluence and structured BA/SA governance artefacts Strong stakeholder management and communication skills across technical and non-technical teams Analytical, proactive, collaborative ...

willingness to learn a base level of Spark. Hands‐on expertise with complex proofs‐of‐concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Nice to have: Databricks Certification ...

APIs, system integrations and client-facing web applications Experience creating UML diagrams, process flows and data mapping Experience using backlog management tools such as Azure DevOps, Jira and/or Confluence Strong stakeholder management and communication skills Experience mentoring or developing Business Analysts or other team members Desirable Experience ...

models or predictive algorithms Hands-on exposure to contemporary AI concepts and GenAI frameworks (e.g., LangChain, Hugging Face) and cloud-native AI services (AWS, Azure or GCP) Knowledge of MLOps practices and tools like Databricks or MLflow Ability to tackle ambiguous problems with structured, analytical approachesStrong verbal and written ...

both for development and to review code. Strong working knowledge of database systems (e.g., SQL, NoSQL) and cloud platforms (e.g., AWS, GCP, Azure). Understanding of how to use Git, and other tools such as Docker, as part of the development process. A holistic understanding of the software development ...

frameworks. Observability & Telemetry: Experience with OpenTelemetry (OTel), Prometheus, Grafana, Splunk, ThousandEyes, or distributed tracing systems. Cloud & Infrastructure: Expertise in public cloud providers (AWS, GCP, Azure), Terraform/IaC, and GitOps/CI/CD pipelines (Jenkins, GitHub Actions). Safe Automation & Guardrails: Experience implementing responsible AI guardrails, deterministic fallback ...

Privileged Access Management (PAM)Hands-on experience with leading PAM solutions (e.g. CyberArk, BeyondTrust, Thycotic/Delinea)Experience working in cloud environments (AWS, Azure, GCP) and understanding of cloud-specific PAM requirementsStrong understanding of PAM principles, controls, and best practicesSolid knowledge of IAM concepts, security frameworks, and regulatory requirementsDesirable ...

Delivering and maintaining of {technical} enterprise security {solutions/architecture} for (but not limited to) the following areas: Identity and Access Management, Cloud Security - Azure, AWS or GCP, Network Security, DevSecOps, Security Monitoring & Remediation, Defense in Depth Security Architecture, particularly Zero Trust Security Architecture Knowledge of Secure Software Development ...

Proven track record of establishing or significantly growing an engineering site or office Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation Experience with infrastructure supporting large-scale AI/ML systems, including: GPU infrastructure and orchestration ML training and inference pipelines Model ...

qualifications 7+ years of experience in security engineering or security operations work in cloud environments. Experience with AWS cloud security (or equivalent experience in Azure and GCP with some level of AWS experience). Experience with cloud native Kubernetes services (EKS/GKE/AKS) and container security principles. ...

understanding of data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).Experience managing data science teams and coaching team members. Problem-solving skills and ability to work independently ...

MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated ...

understanding of data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem-solving skills and ability to work independently ...

modeling. Strong experience with modern testing frameworks, including unit and integration testing. Experience with CI/CD pipelines, cloud platforms (AWS and/or Azure), and containerization technologies. Strong collaboration skills and the ability to build effective cross-team relationships. Risk benefit statementLearn more about the LexisNexis Risk team ...

About BigHand BigHand offers technology solutions for busy legal professionals that provide data and insights to increase value and profits. Through our expert knowledge and innovative technology, we enable our customers to achieve enhanced efficiency ...

party suppliers and vendors to achieve delivery Goals. Solid understanding of data models, APIs, and modern cloud‐based platforms. Proficiency in tools such as Azure DevOps, Visio, JIRA, or similar. Ability to assess organisational risk and evaluate long‐term business impacts. Security Clearance Requirements The successful candidate must hold ...

Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud What's in It for You? At Scale Factory, we believe in recognising and rewarding great work. Here's what ...