651 to 675 of 3,112 Azure Jobs in London

candidates will have on-prem Kubernetes/OpenShift exposure, Terraform IAC, Jenkins CI/CD, and strong observability with ELK, Splunk, and Grafana across Azure or AWS cloud platforms. #J-18808-Ljbffr ...

delivering next-generation AI and data solutions that transform how global organisations operate: Lead the design of AI-enabled data platforms using AWS, Azure, and GCP, building scalable and self-optimising architectures Shape and deliver AI strategy and transformation roadmaps, enabling enterprise-wide adoption of GenAI, copilots, and agentic … architecture Strong consulting background delivering technology and AI transformation programmes Deep understanding of AI, machine learning, GenAI, and cloud data platforms Experience with AWS, Azure, or GCP Strong knowledge of data architecture, DevOps, and automation tooling Experience engaging with senior stakeholders and C-level audiences Proven ability to design ...

security, and resilience. Partner with squads to take solutions from proof of concept (PoC) through to a production-ready platform. Build and maintain secure Azure and GCP infrastructure across all environments using Azure DevOps Pipelines and Terraform. Oversee and coach squads on intra-day deployment mechanisms, advocating … application, and data), ensuring actionable signals and secure operational practices. Person Specification :Mandatory skillset:5+ years' DevOps/Platform Engineering experience delivering solutions in Azure and/or GCP.Full‐stack application and infrastructure solution design, ensuring robust security controls, high availability, and operational resilience throughout. Working knowledge of vulnerability ...

proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. In addition to technical leadership, you will shape the growth of the team—mentoring … full lifecycle of AI product engineering—from architectural design and prototyping to CI/CD-enabled deployment—using modern platforms and tools such as Azure ML, Databricks, MLflow, LangChain and LangGraph. Champion automation, testing, and observability across pipelines.· Operational Excellence: Define reusable development patterns, enforce coding standards, and promote ...

leading web-based applications and services, integrating AI capabilities with our existing platform (C#/.NET, React and/or Angular, Python) and our Azure cloud and DevOps tooling. Direct AI coding assistants and agentic workflows (e.g. GitHub Copilot, Claude Code) alongside your own hands‐on expertise, and rigorously … software engineering experience (minimum 10 years commercial), with React and/or Angular, TypeScript, C#/.NET and Python. Hands‐on commercial experience in Azure cloud, using GitHub and Azure DevOps, across all phases of the SDLC and Agile delivery. Proven ability to rapidly prototype and validate ideas ...

Databricks authority on site, trusted by both the client and Databricks. Key responsibilities: Lead the architecture and build of a secure Databricks Lakehouse on Azure or AWS, using medallion (bronze, silver, gold) design Design and implement Unity Catalog governance: catalogues, schemas, role-based access control, row and column level … Workflows, moving beyond notebooks to tested, deployable code Establish CI/CD and platform engineering standards using Databricks Asset Bundles (DABs), Terraform and Azure DevOps or GitHub Actions Lead migrations from legacy platforms (SQL Server, Oracle, SAS, Hadoop, Synapse) with clear cut-over and reconciliation plans Monitor and optimise ...

real-time, bulk loading, APIs, flat files, streaming, public data sources and survey data Skills, Knowledge and Expertise Experience with any of the following: Azure, AWS and GCP cloud database technologies Design optimum data models, data dictionaries and metadata systems to support business needs Define data architecture standards … that client systems are designed in accordance with the appropriate data architecture Experience with a range of database technologies including data lakes such as Azure SQL or SQL Server, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB with Python and Pyspark Building data warehouse or data lakes with SCVs ...

closely with operational colleagues and translating their needs into well-designed software. Our tech-stack includes Typescript/Node.js, PostgreSQL, Terraform (IaC), running in Azure (Kubernetes and Azure AppService) . Our engineers are full-stack , handling frontend, backend and infrastructure in a total ownership model - squads build …/TypeScript with frameworks like React or Next.js, and experience building intuitive, user-focused interfaces Experience designing and implementing backend systems Prior experience with Azure (ideally), AWS or GCP. Comfortable working with Infrastructure as Code, ideally with knowledge of Terraform. Knowledge and familiarity with Kubernetes a bonus Knowledge ...

security, and resilience. Partner with squads to take solutions from proof of concept (PoC) through to a production-ready platform.* Build and maintain secure Azure and GCP infrastructure across all environments using Azure DevOps Pipelines and Terraform.* Oversee and coach squads on intra-day deployment mechanisms, advocating … application, and data), ensuring actionable signals and secure operational practices.**Person Specification** :**Mandatory skillset:*** 5+ years’ DevOps/Platform Engineering experience delivering solutions in Azure and/or GCP.* Full‐stack application and infrastructure solution design, ensuring robust security controls, high availability, and operational resilience throughout.* Working knowledge ...

practitioners. Strong understanding of statistical modelling, machine learning, GenAI and model evaluation. Proficiency in Python and modern Data Science frameworks. Experience with Azure AI services, including Azure Machine Learning and Azure AI Foundry. Strong understanding of Responsible AI, model governance and interpretability. Experience working with structured ...

experience in the market as a SQL and PLSQL developer. Extensive experience with any SQL cloud databases like Snowflake/Redshift/BigQuery/Azure SQL database. Experience with any on-premise SQL database like MS SQL Server, Teradata etc. Clear understanding of one ETL tool (For eg: Matillion … Glue, Fivetran, Informatica). Azure DevOps experience is a plus. Clear understanding of data modeling, data curation, and orchestration Experience with Business Intelligence tools like PowerBI is a plus. Sound understanding of unit testing, test-driven development, functional testing, and performance aspects. Knowledge of at least one shell scripting ...

machine learning or data science environments - ideally in regulated industries such as financial services. Proven track record of building custom Generative AI solutions on Azure (preferred) or AWS platforms with deep familiarity in RAG architectures, vector databases, prompt engineering and model evaluation frameworks. Strong background in structured systems development … using evidence-based methods to assess impact/improve scalability. Expertise across orchestration/governance/development tools such as LangChain/LangGraph/Azure Foundry/Azure AI/MCP/Python/vector databases. Experience providing effective 1st/2nd/3rd line support across multiple ...

include design and operate end to end logging, metrics, tracing, dashboards to include alerting systems using ELK, Splunk, Grafana Cloud platforms to include: Azure or AWS #J-18808-Ljbffr ...

building scalable data pipelines that support machine learning, analytics and data science initiatives. Developing high-performance data solutions using Python, Spark, Databricks and Azure technologies. Creating and maintaining datasets that power customer, marketing, pricing and forecasting use cases. Collaborating closely with Applied Scientists and Machine Learning Engineers to operationalise … grade data pipelines and data products. Experience working with Databricks, Spark and distributed processing technologies. Experience designing and operating large-scale data platforms using Azure, AWS or GCP.Deep understanding of data modelling, data architecture and modern data engineering principles. Experience enabling data science, analytics or machine learning workloads through ...

Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysisExperience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerationsTrack record of driving platform adoption and consumption growth within accountsExcellent communication skills — able to translate complex … quantitative discipline (or equivalent experience)Nice to Have: Databricks certifications (Data Engineer, ML, Platform)Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position againstBackground in a data/AI company or cloud providerIndustry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)Interview ...

Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysisExperience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerationsTrack record of driving platform adoption and consumption growth within accountsExcellent communication skills — able to translate complex … quantitative discipline (or equivalent experience)Nice to Have: Databricks certifications (Data Engineer, ML, Platform)Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position againstBackground in a data/AI company or cloud providerIndustry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)Interview ...

C#. Experience building automation frameworks for UI, API, and integration testing. Strong understanding of CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, Azure DevOps, etc.). Experience with Agile, DevOps practices, and containerized environments (Docker, Kubernetes). Knowledge of test design techniques, debugging, and root cause analysis. Experience … C#. Experience building automation frameworks for UI, API, and integration testing. Strong understanding of CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, Azure DevOps, etc.). Experience with Agile, DevOps practices, and containerized environments (Docker, Kubernetes). Knowledge of test design techniques, debugging, and root cause analysis. Experience ...

/lakehouse design, and data governance. Hands-on background in SQL and Python, and fluency with at least one major cloud provider (AWS or Azure) and modern data platforms (e.g. Snowflake, Databricks). System‐level judgement on how data architecture shapes AI outcomes: designing governed sources for RAG, structuring … building — side projects, internal tools, or startups. Exposure to finance data, PE/M&A, or portfolio‐company environments. Relevant certifications (e.g. AWS/Azure architect‐level credentials). Additional Information At Unity Advisory, we are committed to providing an inclusive and accessible recruitment process. In line with ...

manage the implications of production changes within a controlled release process Infrastructure & DevOps Contribute to and maintain Infrastructure as Code (IaC) for the platform (Azure, AKS) in collaboration with the Infrastructure team Work within and help mature CI/CD pipelines, deployment workflows, and governance processes Continuously improve … pipelines and transformations at scale Hands‐on experience with a modern cloud data stack, including Snowflake, dbt, Airflow, and Databricks, on a cloud platform (Azure preferred) Demonstrated experience delivering data lineage and traceability within a regulated environment (e.g. SOX, financial services, healthcare, or similar) Experience contributing to platform migrations ...

modern monitoring, telemetry and operational analytics platforms. • Demonstrated ability to advise senior stakeholders and lead multidisciplinary transformation programmes. • Experience working across hyperscaler ecosystems including Azure, AWS and Google Cloud Platform. • Proven ability to balance business outcomes, user needs, engineering constraints and operational requirements when shaping platform strategies.**Desirable Experience … Code practices. • Experience developing propositions, leading bids and supporting business growth activities. • Active participation in AI, SRE, platform engineering or cloud communities.**Certifications (Desirable)**• Azure AI Engineer Associate • Azure Solutions Architect Expert • AWS Machine Learning Specialty • Google Professional Cloud Architect • Certified Kubernetes Administrator (CKA) • SRE Foundation ...

years data architecture experience - Enterprise-scale solutions across multiple sectors with proven delivery track recordCloud-native architecture expertise - Hands-on experience with AWS/Azure/GCP, data lakes, real-time streaming, and infrastructure-as-codeFull data lifecycle mastery - End-to-end expertise from ingestion to consumption, including governance … facing sales activitiesNice to have: Multi-platform technology stack - Experience with Snowflake, Databricks, modern ETL/ELT tools, and relevant certifications (SnowPro, AWS/Azure Data)Data governance & compliance - Strong background in security frameworks, regulatory compliance (GDPR), data lineage, and quality managementAI/ML integration capabilities - Experience with MLOps ...

pipelines that are becoming the standard across our entire business – but now we want to accelerate this adoption and our move to public cloud (Azure). Primary Responsibilities You will exhibit both strategic and tactical sensibilities. You are adept at mapping the bigger picture into smaller, yet valuable … Terraform, Configuration Management (Chef ideally, but will consider Ansible or Puppet), Kubernetes (cloud based), Docker (Kubernetes or AWS ECS Fargate) Extensive cloud experience (ideally Azure and AWS) Programming, scripting skills and OOP principles in general Strong analytical and problem-solving skills. Outstanding communication skills, with the ability to convey ...

LangChain, LangGraph, AutoGen, and CrewAI. Proven experience applying Agile delivery, DevOps, MLOps, and LLMOps practices to enterprise AI programmes. Strong cloud architecture experience across Azure, AWS, or GCP. Experience in model deployment, monitoring, observability, governance, versioning, and operational support. Excellent stakeholder management skills with proven experience engaging clients … transformation programmes. Knowledge of AI governance, model risk management, and regulatory requirements within financial services. Exposure to modern AI-native platforms and frameworks including Azure AI Foundry, Vertex AI, Bedrock, Databricks, or Palantir. Strong consulting and problem-solving mindset. Ability to balance strategic architecture with hands-on technical delivery. ...

responsibilities include designing secure, scalable, and cost-effective data architecture, working with multi-functional teams to lead the adoption and integration of AWS/Azure architecture services, and collaborating with data engineers to prepare and deliver raw data for prescriptive and predictive modeling Assessing and advocating data management technologies … languages including SQL and Python Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake ...

gain advanced insight into their portfolios and valuation metrics. Key responsibilities include:* Lead business requirements elicitation, analysis, and documentation efforts* Assist technology team in Azure cloud solution implementation; write Spark SQL queries to analyze and transform data; provide feedback to User Interface team; testing and documentation* Analyze solution requirements … liquidity and market risk* Practical working experience in multi-tier applications support will be an asset to have.* Knowledge of cloud technologies, including Azure* Experience in messaging, middleware, Java application servers**Who We Are**TD Securities is one of the world's leading global financial institutions ...