3,126 to 3,150 of 4,901 Permanent Microsoft Azure Jobs

product strategy by aligning technical roadmaps with business goals What you bring to the team Strong experience developing backend systems with C# and .NET Deep knowledge of cloud environments (Azure preferred) Experience in designing APIs and microservices at scale Solid understanding of automation testing tools (Playwright desirable) Leadership experience - mentoring, coaching, and guiding engineering teams Strong problem-solving skills More ❯

product strategy by aligning technical roadmaps with business goals What you bring to the team Strong experience developing backend systems with C# and .NET Deep knowledge of cloud environments (Azure preferred) Experience in designing APIs and microservices at scale Solid understanding of automation testing tools (Playwright desirable) Leadership experience - mentoring, coaching, and guiding engineering teams Strong problem-solving skills More ❯

Enterprise Architecture, ideally TOGAF or similar frameworks. Solid understanding of financial services and regulatory environments. Ability to communicate complex technical concepts to non-technical stakeholders. Experience with cloud platforms (Azure, AWS, GCP) and modern data ecosystems. What's on Offer: Competitive salary up to £120,000 plus bonus and benefits. Hybrid working model with flexibility. Opportunity to lead transformative More ❯

tools such as Postman, RestAssured, or equivalent. Integrate automated tests into CI/CD pipelines for continuous testing and deployment. Identify, document, and track defects using test management tools (Azure DevOps, JIRA). Work closely with development teams to resolve issues effectively. Produce detailed test reports and communicate findings to stakeholders. Work in Agile environments (Scrum/Kanban), contributing More ❯

Enterprise Architecture, ideally TOGAF or similar frameworks. Solid understanding of financial services and regulatory environments. Ability to communicate complex technical concepts to non-technical stakeholders. Experience with cloud platforms (Azure, AWS, GCP) and modern data ecosystems. What's on Offer: Competitive salary up to £120,000 plus bonus and benefits. Hybrid working model with flexibility. Opportunity to lead transformative More ❯

and technology teams. Role Highlights Architect & Lead: Design and implement enterprise-level software solutions, including microservices, event-driven architectures, and serverless computing. Cloud & DevSecOps Expertise: Spearhead cloud migrations (AWS, Azure, GCP) and drive DevSecOps best practices. Stakeholder Engagement: Partner with CXOs, product leaders, security teams, and engineering to align technology strategies with business objectives. Technical Governance: Lead and optimise More ❯

and integrating Elasticsearch within an operational enterprise information system. Experience working in an Agile development environment. Experience deploying and using Elasticsearch in commercial cloud platforms (e.g., AWS, Google Cloud, Azure). Excellent written and verbal communication skills. Active TS/SCI with Full Scope Polygraph. Preferred Qualifications: Experience working on ODNI systems. Understanding of ODNI system development policies. Benefits More ❯

the ability to work across technical and business teams. Relevant certifications (e.g., CISSP, GIAC, SC-200, Splunk, IBM QRadar Specialist, Chronicle Security Engineer) are advantageous. Cloud security knowledge (AWS, Azure) and ITIL processes is desirable. Ability to participate in a 24/7 on-call rota. If you’re an ambitious SOC Engineer with a passion for detection engineering More ❯

Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with building and deploying ML models into production. Knowledge of APIs, data pipelines, and cloud infrastructure (AWS, GCP, or Azure). Strong problem-solving skills and ability to work independently in a fast-paced environment. Curiosity, openness, and a willingness to experiment and learn. Excellent communication skills for explaining More ❯

Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with building and deploying ML models into production. Knowledge of APIs, data pipelines, and cloud infrastructure (AWS, GCP, or Azure). Strong problem-solving skills and ability to work independently in a fast-paced environment. Curiosity, openness, and a willingness to experiment and learn. Excellent communication skills for explaining More ❯

.net development background (with the ability to still write high quality code). Experience in solution and technical design of multi-tier distributed scaleable .net solutions in AWS (or Azure). Domain Driven Design. Strong experience of HLD and LLD's. Good architectural knowledge Excellent communication skills with experience working with all levels of stakeholders. This is a great More ❯

Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with building and deploying ML models into production. Knowledge of APIs, data pipelines, and cloud infrastructure (AWS, GCP, or Azure). Strong problem-solving skills and ability to work independently in a fast-paced environment. Curiosity, openness, and a willingness to experiment and learn. Excellent communication skills for explaining More ❯

Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with building and deploying ML models into production. Knowledge of APIs, data pipelines, and cloud infrastructure (AWS, GCP, or Azure). Strong problem-solving skills and ability to work independently in a fast-paced environment. Curiosity, openness, and a willingness to experiment and learn. Excellent communication skills for explaining More ❯

Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with building and deploying ML models into production. Knowledge of APIs, data pipelines, and cloud infrastructure (AWS, GCP, or Azure). Strong problem-solving skills and ability to work independently in a fast-paced environment. Curiosity, openness, and a willingness to experiment and learn. Excellent communication skills for explaining More ❯

etc. using basic electronics test equipment reading the parts of circuit diagrams relevant to embedded systems Also of benefit would be: Familiarity with Python and C#.NET Familiarity with SQL, Azure, Jenkins and Github Familiarity with ARM cored processors Familiarity with Digital Signal Processing An interest in audio equipment or the audio/music industry Benefits: Hybrid way of working More ❯

Wi-Fi network configuration & troubleshooting Virtual Networks & Firewalls Windows Server (2012/2016/2019/2022), Windows 10/11 SQL databases & basic scripting/queries Office 365, Azure, Active Directory Mobile platforms including Android What We’re Looking For: Proven experience as a Network Engineer or 3rd Line Infrastructure Engineer Confident in a customer-facing or client More ❯

business datasets (finance, CRM, broker data, ship ownership) into a central, accessible system What you'll bring: Excellent SQL and Python skills Proven experience building centralised data platforms (Snowflake, Azure Data Factory, or similar) Strong data warehousing and ETL experience Ability to work in fast-paced, less structured environments and propose scalable solutions Experience mentoring or managing juniors (or More ❯

Docker or other containerisation tools. Exposure to GPU-based environments for large-scale model training and tuning. Experience with big data tools (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure) is a plus. Strong analytical mindset with the ability to translate data into actionable insights. If you or someone you know of might be interested, please contact and ask More ❯

with colleagues and clients to understand requirements, explain solutions and document clearly. Desired: Experience integrating with financial or ERP systems Swagger/OpenAPI documentation for Open APIs Familiarity with Azure services and automation tools like Power Automate or Zapier Exposure to IoT or Telematics platforms Awareness of ISO 27001, SOC 2, or GDPR compliance standards Benefits: Competitive base salary More ❯

data architecture and strategy across multiple programmes, work streams and business units You have strong experience of developing enterprise data platforms with cloud data technologies (AWS, Data Bricks, GCP, Azure) You have a good knowledge of Contextual Data Modelling, Entity Relationship Modelling, Logical and Physical Data Modelling and Data Lake design You have experience within a financial services or More ❯

offerings Qualifications: • Must possess an active TS/SCI clearance (can hold up to TS/SCI FSP) • Strong programming skills in Python • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) • Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and More ❯

in generative AI (LLMs, Transformers, GANs, Diffusion Models). Strong understanding of financial use cases: fraud detection, algorithmic trading, regulatory tech, and personalisation. Experience with cloud-native AI platforms (Azure, AWS, GCP) and frameworks (PyTorch, TensorFlow). Exceptional stakeholder management and communication skills. Track record of building and scaling high-performing AI teams. This role is an urgent requirement More ❯

or document intelligence (OCR, NER). Knowledge of ML Ops (experiment tracking, monitoring, CI/CD for ML). Familiarity with cloud AI services (AWS Sagemaker, GCP Vertex AI, Azure ML). Exposure to business process improvement or automation. If this role is of interest and you would like to learn more, please get in touch. You can reach More ❯

a senior leadership capacity. Proven success delivering ML solutions that drive measurable commercial outcomes at scale. Hands-on expertise across the ML lifecycle, in modern cloud environments (AWS, GCP, Azure). Strong communication skills and ability to influence across technical and non-technical stakeholders. Deep knowledge of ethical AI governance and experience implementing controls for compliance. Background in consumer More ❯

a senior leadership capacity. Proven success delivering ML solutions that drive measurable commercial outcomes at scale. Hands-on expertise across the ML lifecycle, in modern cloud environments (AWS, GCP, Azure). Strong communication skills and ability to influence across technical and non-technical stakeholders. Deep knowledge of ethical AI governance and experience implementing controls for compliance. Background in consumer More ❯