Azure jobs in United Kingdom - Page 9

Senior Security Operations Analyst.This is 2-3 days onsite, with the rest remote.Security Detection and Monitoring.Microsoft Azure and Google Cloud Platform.Detection as Code / Configuration as Code / Infrastructure as Code.Security Automation (SOAR) / Hyper automation.Mandatory: Strong experience i

Relevant certifications such as SnowPro Core, AWS Certified Data Engineer – Associate, or Azure Data Engineer are highly desirable. Serve as a subject matter expert in Snowflake engineering efforts within delivery teams. Group Professional Services (GPS) is a thriving division made up of over 1,00

Broad experience with HPC cluster management, including job schedulers and parallel file systems. Cloud and Hardware Acumen:** Familiarity with Public Cloud services, specifically Microsoft Azure and Google Cloud Platform (GCP), as well as server, storage, and networking hardware components common i

Cloud certifications (AWS Certified Solutions Architect, Azure Solutions Architect, Google Cloud Professional Architect). Work with cloud architects and engineers to define best practices for cloud adoption. Senior Manager Cloud Solutions Projects.

Social network you want to login/join with:.NET Developer - Preston, Watford, Hertfordshire.Watford, Hertfordshire, United Kingdom.NET 9, C#, Web API 2, Entity Framework, Microservices, Azure, Programmer, Full Stack Engineer, Architect,.Our client is the world’s largest social-networking website w

AES - DE - DevOps - AWS DevOps. Work with developers to implement pipelines and releases for Digital platforms using cloud-based services either from AWS or Azure and orchestration tools based on requirements. Understand common best practice working methods, processes, and tools, across the Digital

Sign in to set job alerts for “Network Infrastructure Engineer” roles. Network Design / Implementation Engineer. Network Engineer | Juniper, Palo Alto, Azure Cloud | to £75k plus bonus.

Manage, communicate, and implement infrastructure changes, upgrades, and migrations on network infrastructure, including L1/L2/L3 switches, firewalls, DNS/DHCP, and cloud networking components. Exposure to cloud networking configurations and tools - AWS, Azure, GCP. Support existing solutions with a

Azure security tooling including Security Centre, Defender, Sentinel, Intune, AWS Security Hub, GuardDuty, Inspector, WAF, Security Lake, CloudTrail. As Cyber Security Manager at Two Circles, you play a key role in keeping our systems, people and data safe from external and internal threats by focus

Hands-on experience with Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics. Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics). Azure AI Engineer Associate, Azure Data Scientist Associate).

We are looking for a seasoned Azure Batch Cloud Architect to lead the design and implementation of scalable, secure, and high-performance batch processing solutions in Microsoft Azure. Experience integrating Azure Batch with Azure Data Factory, Event Grid, or Logic Apps. Azure Solutions Architect Ex

Youll support the information security requirements of this high-profile website, collaborating with stakeholders across teams and managing security incidents to keep the security stance strong. You have good knowledge of cloud security; GCP or Azure preferred, AWS also considered. You have experi

Hands-on experience with network monitoring and diagnostic tools such as Azure Native Networking Monitoring Tools, SolarWinds NPM, NetFlow, ISE, and Wireshark. The Telecommunications & Network Administration focus lies within our Technology Infrastructure area, and specialises in coordinating data,

AI, and analytics workloads in Azure. Overview: We are seeking an experienced Azure SQL Database Administrator (DBA) to join our IT team on a contract basis. The successful candidate will be responsible for designing, implementing, managing, and optimizing Azure SQL database environments.

Azure Platform Tech Lead & Cloud Architect | Azure, Terraform, Kubernetes | New Bank!. Azure Platform Tech Lead & Cloud Architect | Azure, Terraform, Kubernetes | New Bank!. Enterprise / Large Scale Azure projects.

As the AI Test Manager, you will be responsible for implementing robust test frameworks to ensure compliance with relevant regulations and standards. Azure / AI Test Frameworks / Compliance. However, there is currently no dedicated capacity to test these AI solutions.

Get notified about new Automation Consultant jobs in. Power Platform Automation Consultant,. A Power Platform Automation Consultant who has experience with Azure Logic Apps, Functions, and AI services (e.

Proficiency in Azure cloud services such as Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, and Azure Key Vault. Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert. Lead consulting and advisory on Azu

Your crucial role in the LLM Suite within the AMDP team will involve transforming early-stage code into production-ready solutions and developing innovative AI/ML solutions using public cloud architecture. Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform using Azure,

As a Principal Support Analyst – Azure, you will serve as a senior technical authority within the support team, providing advanced troubleshooting, mentoring, and operational oversight across customer Azure environments.While not the final escalation point, you will play a key role in resolving co

Fitch Group is currently seeking a Senior Software Engineer, Python Development based out of our. We are seeking a Senior Software Engineer to join our team for a key initiative of the development and delivery of applications based on Python and AWS, Azure cloud platform based on event-driven archit

Data Warehouse Developer## Job IntroductionWhat’s it all aboutAs a Data Warehouse Developer, you’ll play a crucial role in helping NHG unlock the value of data. Using the Microsoft data platform and tools within Azure, you’ll work across the organisation to design, build and maintain Data

As an IT Network Engineer, you will play a crucial role in designing, implementing and maintaining our organisations network infrastructure. Professional certifications, such as Cisco Certified Network Associate (CCNA), CCNP, CCSA, Microsoft Azure Network Engineer Associate or equivalent. Proven exp

AI Engineering Lead About Glue Reply: Glue Reply is the outcome-focused Architecture specialist within the Reply Group. Through services encompassing Business Change/Transformation, Strategy & Architecture, Data exploitation and Integration, Glue Reply is able to help its clients succeed by turning strategy into tangible solutions and vision into practical outcomes. Glue Reply diagnoses the challenges and advises on the way to make real impact - enabling its clients to deliver. Role Overview: As an AI Engineering Lead, you will own the engineering delivery of our AI platform and client solutions. This role requires strong technical leadership combined with the ability to design, build, and ship production-grade AI systems. You will lead by example, remaining hands-on in coding, architecture, and deployment, while enabling the team to deliver high-impact projects. Responsibilities: • Build, and deploy advanced AI solutions using Python and agentic frameworks such as LangChain, LlamaIndex, and related tools., • Design and manage AI workloads on leading cloud platforms, leveraging services like SageMaker, Lambda, Azure ML, and cloud-native storage solutions., • Implement and maintain MLOps best practices, including CI/CD pipelines, infrastructure as code (Terraform, Kubernetes, Docker), and ML lifecycle automation using tools like MLflow, Kubeflow, and Airflow., • Drive observability, monitoring, and performance optimization for deployed AI systems., • Provide technical leadership and mentorship to AI engineering teams, ensuring adherence to design patterns, coding standards, and best practices in AI and agentic development., • Collaborate closely with product managers, solution architects, and client stakeholders to align technical solutions with business objectives and client requirements., • Continuously monitor and evaluate industry trends in large language models (LLMs), agentic frameworks, retrieval-augmented generation (RAG), and GenAI tooling to maintain technological leadership., • Identify and champion new opportunities for AI adoption and enablement across the organization, fostering a culture of innovation and technical excellence. About the candi date:, • A minimum of a BSc degree (2.1 or higher) in Computer Science, Engineering, Mathematics, or a related STEM field., • Strong coding background in Python (3+ years), with demonstrated experience building and deploying production-grade AI/ML applications., • Deep hands-on expertise with large language models (LLMs), LangChain, LlamaIndex, vector databases, and API integrations., • Proven track record of working with major cloud platforms (AWS, Azure, or GCP), deploying and managing AI workloads in production environments., • Solid understanding of DevOps/MLOps practices, including CI/CD, containerisation, and orchestration using tools such as Docker and Kubernetes., • Experience in leading and mentoring small-to-medium engineering teams, effectively balancing technical delivery with team development., • Strong problem-solving and system design skills, with experience architecting scalable and distributed AI systems. Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.

Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview We are seeking a highly experienced and technically proficient individual to drive the adoption and evolution of a XING Risk platform to its end state. This critical role involves close partnership with Front Office (FO) and Model Quantitative Analytics (MQA) teams. The successful candidate will possess a deep understanding of All asset class products, pricing, and Risk calculation workflows, coupled with expertise in modern distributed computing, model efficiency, and cloud cost management. This role will lead initiatives to enhance the scalability and efficiency of Risk calculation processes, working directly with engineering leads and architects from different teams. Key Responsibilities • Strategic Risk Platform Adoption: Partner with Risk Front Office (FO) and Model Quantitative Analytics (MQA) to define, implement, and drive the XING Risk adoption strategy towards its envisioned end-state., • Risk Business & Technical Expertise: Apply a deep understanding of Risk business drivers, front-to-back workflows, Risk trading, pricing methodologies, and the intricate Risk calculation framework to guide platform development and optimization., • Performance and Efficiency Management: Drive improvements in model efficiency metrics, leveraging functional knowledge of modern distributed computing paradigms to enhance Risk calculation processes., • Cloud Cost Governance: Implement and manage cost governance strategies related to external cloud adoption, ensuring optimal resource utilization and cost efficiency for the Risk core risk platform., • Workstream Management: Lead and manage targeted workstreams focused on delivering scalability enhancements and efficiency improvements for the Risk risk calculation processes., • Cross-Platform Collaboration: Collaborate directly with engineering leads and architects from different platforms to execute the efficiency and optimization strategy for the Risk core risk platform., • Problem Solving & Innovation: Identify and address complex technical and business challenges related to Risk platform performance, scalability, and integration. Qualifications, • Experience: Proven experience in a similar role within a financial institution, preferably with a focus on Risk or quantitative risk., • Domain Expertise:, • Deep understanding of XVA concepts, including CVA, DVA, FVA, MVA, KVA., • Comprehensive knowledge of XVA trading, pricing models, and risk calculation frameworks., • Familiarity with front-to-back trade lifecycle and data flows within a financial institution., • Technical Skills:, • Strong functional knowledge of modern distributed computing architectures and technologies., • Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud cost management principles., • Understanding of model efficiency metrics and optimization techniques., • Familiarity with large-scale data processing and analytics., • Collaboration & Leadership:, • Demonstrated ability to work effectively in partnership with Front Office, MQA, and Engineering teams., • Excellent communication skills, capable of articulating complex technical and business concepts to diverse audiences. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi's EEO Policy Statement and the Know Your Rights poster.

Job Description Who we're looking for The Engineering Lead is a highly proficient, versatile, and active engineer with excellent communication skills. The Engineering Lead works across one or more Engineering delivery teams to deliver high-quality data, quickly and reliably. The Engineering Lead also strives to create a collaborative engineering culture. This role requires a high level of competence and up-to-date knowledge on design and best practice in data engineering. The Engineering Lead's responsibilities and objectives are broadly split into two areas: • Within their area, the Engineering Lead will focus on the continued improvement of data design, implementation, and delivery. This will be achieved by ensuring that sustainable engineering practices are prioritised and embedded in the way teams work. As an expert in their data development field, the Engineering Lead will guide and mentor developers (including 3rd party partners), setting technical objectives and reviewing subsequent performance., • The Engineering Lead will work collaboratively with both Enterprise Engineering and Enterprise Software Engineering to help shape the development culture at Schroders, contributing to standards, patterns, practices, reference architectures, shared components, and other things that will improve the way we deliver engineering and software to the business. About Schroders We're a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future. We have around 5,000 people on six continents. And we've been around for over 200 years, but keep adapting as society and technology changes. What doesn't change is our commitment to helping our clients, and society, prosper. Technology at Schroders There's a huge amount of change going on at Schroders. Technology's shaping our business more and more, so there are many opportunities waiting to be grabbed. And because we're a big financial player, we can put hefty backing behind good ideas. We're a serious business - we have enormous responsibilities to our clients and shareholders. But just because we're suited and booted, that doesn't make us stuffy; our tech teams are friendlier and more informal than you might expect. The base We moved into our new HQ in the City of London in 2018. We're close to our clients, in the heart of the UK's financial centre. And we have everything we need to work flexibly. The team The Engineering Lead for Data Engineering will be the technical expert in one of the key teams within the Enterprise Data function. Working along-side a Delivery Lead, the role will determine the technical direction of the team and its technical staff. This function exists to drive the way Schroders sources and consumes high-quality data to provide business value. Enterprise Data own the creation of the enterprise-wide data strategy and rely on the Engineering teams to help to deliver on our plans. The Data Engineering team also own the Data Engineering for the associated acquisition and integration of enterprise data assets and the analytics service that will consume the foundational components. Engineering Leads also form part of the broader Enterprise Engineering function within Enterprise Technology. This function exists to help Schroders improve the way they provide business value through quality, predictable, and supportable software delivery. What you'll do You'll lead the team technically to help deliver data sources and data capabilities (that is: tools, data sources and data products that enable business teams to find, create and exploit data) across a wide range of technologies and stakeholders. This is a hands-on role, where you'll be partnering closely with both business subject matter experts and technology counterparts to deliver data solutions collaboratively, and you will lead the way in creating re-usable patterns and templates for the team to leverage, but this is not purely a technical role. You'll also be a people manager, who enjoys being a mentor and can convey complex ideas in a way that helps your Engineering reports learn and grow. Working as part of different backlog - focused squads, you'll be responsible for contributing to analysis and owning solution designs, as well as the implementation and testing of data pipelines. You'll need to be comfortable with agile methodology, either scrum or Kanban, having worked in teams that use this approach before. Snowflake experience is essential to hit the ground running in our team, and any Snowflake certifications would be advantageous. Experience in Airflow, Docker/Kubernetes or DBT will also be highly desirable, especially if you have experience in using them to build data ingestion processes or any aspect of data warehousing/Data Product building. As a team, we support each other in our personal development knowing that each has their strengths, and we work to share those throughout the team. We also highly value innovation and are beginning to implement AI / ML in our data platform to expand our data services and automate our workloads. We hope you'll have something to offer and something to gain in return. The knowledge, experience and qualifications you need • Experience of cloud technologies, ideally in Azure and AWS., • Excellent Python skills, specifically within data engineering in a commercial setting, • Excellent SQL / Snow SQL knowledge, including an understanding of how to write optimised SQL code, good general knowledge of different SQL engines, and what considerations they bring when optimising., • Practical understanding of how to profile SQL and manage performance trade-offs., • Good working knowledge of agile methodology, and capable of following the framework, contributing to team success through participation in ceremonies and occasionally assisting with scrum-master duties, own actions and maintaining scrum artefacts., • Experience of implementing a data quality framework, • Highly knowledgeable in how to build data pipelines that robustly handle different possible modes of failure., • Excellent understanding of ETL/ELT patterns, idempotency and other data engineering best practices, that you can share with more junior team members, • Demonstratable competency with data modelling (3rd normal form, star schemas, wide/tall projections). Any experience of Data Mesh implementation would be advantageous., • Good knowledge of source control (GitHub especially) and working on a shared codebase., • Strong background and up-to-date knowledge of cloud-based data platform technologies such as Snowflake, AWS and Azure, • AI coding experience, especially in the data or automation space What you'll be like, • Friendly, approachable and a collaborative team player who enjoys working with people across the business and can act as a mentor to more junior colleagues when required., • Having a continuous improvement mind-set, always thoughtful about the status quo, and making sure that standard approaches continue to make practical sense., • Self-motivated, someone who shows initiative often and is keen to help the team improve engineering processes across Schroders., • A continuous learner - always willing to spend time learning and developing your technical skills on our current tool suite and related disciplines such as data modelling and architecture., • A problem solver, comfortable analysing, breaking down and ultimately resolving complex and sometimes ambiguous requirements., • Down-to-earth, honest and straightforward, you'll be able to stand your ground and communicate apposing ideas, without being confrontational We recognise potential, whoever you are Our purpose is to provide excellent investment performance to clients through active management. Diversity of thought facilitated by an inclusive culture will allow us to make better decisions and better achieve our purpose. This is why inclusion and diversity are a strategic priority for us and why we are an equal opportunities employer: you are welcome here regardless of your age, disability, gender identity, religious beliefs, sexual orientation, socio-economic background or any other protected characteristics About Us We're a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future. We have around 6,000 people on six continents. And we've been around for over 200 years, but keep adapting as society and technology changes. What doesn't change is our commitment to helping our clients, and society, prosper.

Impactive IT are currently working with a fantastic organisation with big growth targets to hit before the end of the year. We are on the hunt for a AI .NET Developer who will be playing a key role in designing, developing innovate solutions leveraging the use of AI. Core Skills and Experience - Strong commercial experience in .NET development and implementing AI-based applications. - Comfortable using AI and automation frameworks to improve developer productivity. - Experienced in code reviews, quality checks, and pull requests within collaborative projects. - Able to contribute across the full software development lifecycle, from concept and design to delivery and support. - Skilled at translating business requirements into scalable and efficient technical solutions. - Capable of estimating workload and development effort for new builds and enhancements. - Hands-on knowledge of AI integration methods, APIs, and modern .NET platforms. Additional Desirable Experience - Creating proof-of-concepts (POCs) for proposals or early-stage project validation. - Working with cloud integration services, preferably within Azure environments. - Extending or customizing AI frameworks and models to fit client needs. - Expertise in SQL Server from schema design to performance tuning and optimization. - Familiarity with data platforms such as Microsoft Fabric, Data Lake, or Synapse Analytics. - Holding or pursuing Microsoft AI or data certifications (such as AI-900, AI-102, or DP-100). - Building AI-powered visualizations and dashboards using Power BI. - Understanding data modelling, semantic layer design, and predictive analytics integration. - Proficient in DAX and Power Query for advanced analytics and reporting. Home based (must be commutable to London) Flexible (can be £55k - £85k for a wiz) Permanent No sponsorship offered for this role! Get in touch with Matt Nicholson for more information. TPBN1_UKTJ

ML & Cloud Infrastructure Engineer. Working closely with ML engineers and researchers to integrate infra with production workloads. Strong cloud skills (AWS, GCP, Azure) and containerisation (Docker, Kubernetes).

Expert level knowledge of DevOps tools like Bitbucket/GitHub, Sonar Cube, CAST, Team City/Jenkins/Azure DevOps. Review and understand ISS software engineering and application support processes and foster DevOps culture. Guide product teams on DevOps and SRE related requirements and be responsible fo

Lead Solutions Architect (CTO level-FSI, DS/DE background). Capgemini’s Cloud Native Hyperscaler Azure team is seeking a visionary and technically accomplished Senior Azure Architect to lead business development and strategic client engagements across our Azure portfolio. Capgemini’s Cloud Nativ

Design and implement scalable, secure Azure environments using best practices. Proven expertise in Azure architecture and cloud solution design. Nordcloud is triple-certified across Amazon Web Services, Microsoft Azure and Google Cloud Platform – with 10 European hubs, over 1,300 employees and has

I'm looking for 4 Azure Data Architects, to work for a consulting client of mine based in London. Strong knowledge of cloud-based data architecture, with strong understanding of Azure Data Services. Knowledge of Databricks or Azure fabric.

Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Produc

You will develop and maintain the information security architecture and will have proven experience with compliance, vulnerability management, network security, cloud security (AWS & Azure), firewalls and intrusion detection systems. An impressive multinational Telecoms business is looking for an ac

Graduate Azure Cloud & Data Engineer. As a Graduate Azure Integration & Data Cloud Consultant, you'll specialise in Azure Integration Services, Data Engineering in Fabric, and DevOps.

Senior Snowflake Data Engineer. We're helping an insurance client build a state-of-the-art analytics platform on Azure with Snowflake and dbt at its core. Azure estate with Snowflake layered on top.

If you're a strategic Test Lead with deep knowledge of cloud migration, AVS, and infrastructure testing, and are ready for your next challenge, we'd love to hear from you!. Extensive experience in infrastructure and application migration projects, specifically from on-premise to Azure Cloud. Deep kn

In this role, you’ll own the cloud content strategy and roadmap, working hand-in-hand with our expert instructors and the broader Cloud Curriculum team — a talented group of educators, data scientists, and technologists. Set the strategy for our Cloud Curriculum roadmap (AWS, Azure, GCP, cloud e

Freelance Software Developer (Python Engineer) - AI Trainer. Build and deploy AI-first features using Azure AI Foundry, Azure AI Search, Cosmos DB, Docker, and AKS. Experience with Azure’s native AI stack (including AI Foundry, Search, Cosmos DB, and AKS), strong Python and C# skills, VS Code (ide

The Cloud strategy is currently in its infancy, and this role offers a unique opportunity for an experienced Azure Cloud Architect to join at the ground level and play a pivotal role in shaping a best-in-class, in-house Cloud Architecture and Engineering function. Are you an Azure Cloud Architect wi

DevOps Engineer (Azure) / London / Hybrid / £550 outside IR35.

Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform using Azure, AWS, and AI Agentic frameworks. Create solutions or tools to provision and monitor infrastructure for LLM and agentic systems.

Data & AI consulting or enterprise data architecture roles. Microsoft Fabric and Azure data architecture. You will play a key role in designing scalable data foundations, modernising data landscapes, and driving innovation across enterprise clients in diverse industries.

Implement scalable, resilient Azure PaaS architectures including App Services, Azure Functions, Azure Container Apps, Event Grid, Service Bus, Logic Apps, Cosmos DB, Azure SQL and API Management. Deep knowledge of services like Azure App Services, Functions, Azure Container Services, API Management,

Currently, we are looking for a Senior Azure Site Reliability Architect for our team in the UK. Experience with CI/CD tools like Azure DevOps, GitHub Actions, GitLab, Jenkins, TeamCity. We are triple-certified across AWS, Azure, and Google Cloud, with over 1,300 employees across 10 European hubs, de

Recent hands-on experience (7+ years) as a Cloud Engineer/DevOps/SRE (GCP/AWS/Azure). Sign in to set job alerts for “Cloud Engineer” roles. As a member of the Global Technical Operations (TechOps), you will be a part of a team that focuses on operational reliability within a cloud-based infrastr

Strong experience with Azure cloud services, especially Data Factory, Synapse, Databricks, and Azure Functions. Understanding of AI/ML data requirements and how to prepare data for intelligent systems. Ready to engineer the data backbone of a next-gen AI platform? Apply now or get in touch to learn

Expert-level knowledge of Azure services, including Data Factory, Data Lake, Azure ML, and Power BI/Fabric. Extensive experience in platform engineering, with a strong emphasis on Azure-based data solutions. Senior Data Platform Engineer – Azure.