226 to 250 of 1,185 Azure Jobs in London

stage bids What you’ll bring: Extensive engineering experience within one or more of the following languages: Java, JavaScript/TS or C# Extensive cloud deployment experience across AWS, Azure or GCP Experience with IaC, CI/CD, TDD Highly communicative and consulting astuteness to be client facing Security Clearance Eligibility (you may work on public sector projects!) The More ❯

as Git) Business-level English or above Preferred Skills/Experience: Professional experience in the financial industry Web API development experience (REST, SOAP, etc.) Development experience in cloud environments (Azure, AWS) If your application is successful, we will contact you within two business days. Due to the volume of applications, we are unable to provide individual feedback on CVs. More ❯

customers, shaping their DevOps vision and driving technical wins. wins. To be considered, you MUST Have: 7+ years in a DevOps pre-sales engineering role Cloud infrastructure fluency (AWS, Azure or GCP) Hands-on experience with Docker, Kubernetes, CI/CD, Git, build tools Solid AppSec experience with SCA, SAST, SBOM, Container Security Proven track record helping to build More ❯

performance optimization. Knowledge of SQL and database technologies (PostgreSQL, MySQL, or similar). Experience with messaging systems (Kafka, RabbitMQ) is a plus. Exposure to cloud platforms such as AWS, Azure, or GCP. Strong problem-solving skills and a keen attention to detail. Experience in financial services or fintech is highly desirable. If you are a Java engineer looking to More ❯

stage bids What you'll bring: Extensive engineering experience within one or more of the following languages: Java, JavaScript/TS or C# Extensive cloud deployment experience across AWS, Azure or GCP Experience with IaC, CI/CD, TDD Highly communicative and consulting astuteness to be client facing Security Clearance Eligibility (you may work on public sector projects!) The More ❯

Proven expertise in managing and optimising data platforms. Strong background in modern data platform technologies, with hands-on experience in programming (such as SQL, Python, and Terraform), cloud environments (Azure preferred), and advanced data warehousing solutions (ideally Snowflake). Strong knowledge of data management and governance practices. Experience in the life science industry is advantageous. Technical proficiency in data More ❯

tools. Strong understanding of virtual networking, storage (SAN/NAS), and backup solutions. Experience with automation tools (e.g., PowerCLI, Ansible) is a plus. Familiarity with cloud platforms (e.g., AWS, Azure) and hybrid environments. Excellent problem-solving and communication skills. VMware certifications (e.g., VCP, VCAP) are highly desirable. Nice to Have Skills: Experience with VMware NSX and Horizon. Knowledge of More ❯

Proven expertise in managing and optimising data platforms. Strong background in modern data platform technologies, with hands-on experience in programming (such as SQL, Python, and Terraform), cloud environments (Azure preferred), and advanced data warehousing solutions (ideally Snowflake). Strong knowledge of data management and governance practices. Experience in the life science industry is advantageous. Technical proficiency in data More ❯

functional AI/ML teams. Excellent communication skills; able to translate technical concepts into business impact. Fluent in English (French is a plus). Familiarity with cloud AI platforms (Azure ML, AWS Sagemaker, GCP Vertex AI) is a plus. Location Primary: Madagascar Also Remote available for Egypt, Dubai (UAE) or France Why Join Us Work on cutting-edge AI More ❯

and mentor junior engineers. Requirements Strong experience in Python software engineering. Hands-on experience developing and deploying AI agents or intelligent systems. Familiarity with cloud infrastructure (AWS, GCP, or Azure). Experience with containerization and orchestration (Docker, Kubernetes). Ability to thrive in a fast-paced, collaborative environment. If this sounds like something you would be interested in, please More ❯

in data engineering, including ETL processes and data pipeline development. Proficiency in SQL and experience with relational databases (e.g., Oracle, PostgreSQL, SQL Server). Familiarity with cloud platforms (AWS, Azure, or GCP) and data warehousing solutions. Strong understanding of data modelling, performance tuning, and best practices. Excellent communication skills and ability to work in a fast-paced, collaborative environment. More ❯

excellence and continuous improvement Key Requirements 5+ years’ experience working with C#/.NET Experience developing front and middle office systems Strong SQL skills Experience with cloud-native solutions (Azure or AWS) Knowledge of event-driven, microservices architectures Full SDLC experience — from design through delivery and support Key Benefits Join a fast-scaling fintech building next-generation financial technology More ❯

and Behaviour Driven Development) Desirable skills required: Continuous delivery skills tools and techniques desirable e.g. Git, Github, Jenkins, Docker, Vagrant, Chef, Puppet, Selenium, etc as is a familiarity with Azure cloud services & setting up/managing resources/deploying apps. Experience with working with and developing multiple (REST) APIs, documented with Open API/swagger etc is also desirable More ❯

and optimize RAG pipelines , vector databases, and prompt engineering strategies Develop AI-powered applications integrating LLMs with APIs, agents, and workflows Deploy and monitor AI models on cloud platforms (Azure preferred; AWS/GCP acceptable) Collaborate with senior engineers and cross-functional teams to deliver high-quality AI solutions Essential Skills & Experience 2-6 years of Python development experience More ❯

and optimize RAG pipelines , vector databases, and prompt engineering strategies Develop AI-powered applications integrating LLMs with APIs, agents, and workflows Deploy and monitor AI models on cloud platforms (Azure preferred; AWS/GCP acceptable) Collaborate with senior engineers and cross-functional teams to deliver high-quality AI solutions Essential Skills & Experience 2-6 years of Python development experience More ❯

of leading AI initiatives in a complex or regulated environment. Strong technical expertise in machine learning, NLP, and scalable architectures. Familiarity with modern AI frameworks and cloud platforms (AWS, Azure, GCP). Excellent leadership and communication skills, with the ability to influence at all levels. Contributions to research, patents, or open-source projects are highly desirable. To apply for More ❯

of leading AI initiatives in a complex or regulated environment. Strong technical expertise in machine learning, NLP, and scalable architectures. Familiarity with modern AI frameworks and cloud platforms (AWS, Azure, GCP). Excellent leadership and communication skills, with the ability to influence at all levels. Contributions to research, patents, or open-source projects are highly desirable. To apply for More ❯

the workflow Support communication and coordination between business analysts and engineering teams Technical Environment You will be working around the following technologies: JavaScript and HTML (core requirements) Cloud technologies: Azure or AWS .NET (C# or F#) NoSQL AI-assisted design tools Experience with the full stack is not required, but an understanding of UI implementation basics is important. Candidate More ❯

Curious, attentive to detail and seeks clarity. ➢ Able to work individually and within a team. ➢ Excellent written and verbal communication skills. Technical Skills: ➢ Proficient working with source code repositories (Azure and/or GIT). ➢ Excellent understanding of object orientated programming and scripting. ➢ Experience writing complex SQL queries (Sybase advantageous). ➢ Proficient with UNIX/LINUX operating systems/ More ❯

You're terrified by supply chain and CI/CD security, but have good patterns for reducing the risks Your engineering experiences include Golang and Terraform Technologies AWS, GCP, Azure and private Data Centers Kubernetes, Helm, Flux Distributed systems, mostly Golang based with CockroachDB and NATS SIEM/SOAR, EDR, CNAPP, and a suite of open source tools with More ❯

the workflow Support communication and coordination between business analysts and engineering teams Technical Environment You will be working around the following technologies: JavaScript and HTML (core requirements) Cloud technologies: Azure or AWS .NET (C# or F#) NoSQL AI-assisted design tools Experience with the full stack is not required, but an understanding of UI implementation basics is important.Candidate Profile More ❯

often span large-scale, complex environments and may include. Core banking infrastructure upgrades - hardware modernisation, system resilience and disaster recovery projects. Data centre migrations and hybrid cloud transitions (AWS, Azure, private cloud). End User Computing refresh programmes - Windows 10/11 upgrades, VDI rollouts, Office 365/M365 migrations. Network & security upgrades - WAN/LAN refresh, SD-WAN More ❯

often span large-scale, complex environments and may include. Core banking infrastructure upgrades - hardware modernisation, system resilience and disaster recovery projects. Data centre migrations and hybrid cloud transitions (AWS, Azure, private cloud). End User Computing refresh programmes - Windows 10/11 upgrades, VDI rollouts, Office 365/M365 migrations. Network & security upgrades - WAN/LAN refresh, SD-WAN More ❯

and optimize RAG pipelines , vector databases, and prompt engineering strategies. Develop AI-powered applications integrating LLMs with APIs, agents, and workflows. Deploy and monitor AI models on cloud platforms (Azure preferred; AWS/GCP acceptable). Mentor and manage a team of engineers, fostering innovation, collaboration, and best practices . Translate business requirements into AI solutions and ensure responsible More ❯

and optimize RAG pipelines , vector databases, and prompt engineering strategies. Develop AI-powered applications integrating LLMs with APIs, agents, and workflows. Deploy and monitor AI models on cloud platforms (Azure preferred; AWS/GCP acceptable). Mentor and manage a team of engineers, fostering innovation, collaboration, and best practices . Translate business requirements into AI solutions and ensure responsible More ❯