926 to 950 of 2,969 Remote Azure Jobs

Manager or similar role in a large or enterprise-scale organisation Strong knowledge of Agile, DevOps, and Waterfall delivery models Hands-on experience with cloud provisioning and management (ideally Azure) Familiarity with SAP, ERP, or other integrated enterprise systems Excellent stakeholder management, mentoring, and communication skills Track record in process improvement, environment optimisation, and automation Solid understanding of CI More ❯

C# BDD) Use Gherkin syntax to write clear and effective test scenarios Carry out integration, regression, UAT, and performance testing Embed automated testing into CI/CD pipelines via Azure DevOps Validate large datasets and ensure data integrity Log and manage defects, working closely with dev teams to resolve issues About You Solid experience in manual web application testing More ❯

graphs, IDFA/GAID) Tagging & tracking stacks (GTM, Tealium, server-side tagging, event streams) Media platforms, analytics, attribution and measurement solutions Knowledge of cloud environments (AWS/GCP/Azure) and event-driven data pipelines. Contract Details Contract: Outside IR35 Location: London & remote hybrid Industry: Consumer electronics/digital/marketing technology How to Apply If this matches your More ❯

models in a commercial or scientific environment.* Proficient in Python and familiar with key libraries such as TensorFlow, PyTorch, and scikit-learn.* Experience working with cloud platforms such as Azure, AWS, or GCP, ideally within a data engineering or MLOps context.* Strong understanding of data processing, feature engineering, and model evaluation techniques, with experience handling complex scientific datasets.* Excellent More ❯

analysis of sourcing approaches. Proficiency in architecture modeling tools and frameworks (UML, ArchiMate, etc.). Strong commercial acumen, complementing your technical expertise. Extensive experience with technology stacks including AWS, Azure, GCP, and familiarity with emerging trends. Knowledge of microservices, cloud architectures, digital transformation enablement, and IoT. Understanding of the architect's role in agile delivery methodologies. Join and be More ❯

analysis of sourcing approaches. Proficiency in architecture modeling tools and frameworks (UML, ArchiMate, etc.). Strong commercial acumen, complementing your technical expertise. Extensive experience with technology stacks including AWS, Azure, GCP, and familiarity with emerging trends. Knowledge of microservices, cloud architectures, digital transformation enablement, and IoT. Understanding of the architect's role in agile delivery methodologies. Join and be More ❯

including Financial Services Cloud. Strong understanding of Clean Code, SOLID principles, Design Patterns, and Salesforce best practices. Expertise with Apex, SOQL/SOSL, Flows, Lightning Web Components, Triggers, and Azure DevOps. A passion for continuous learning - whether through blogging, open-source contributions, or tech community involvement. Excellent communication and collaboration skills, with the ability to influence and work across More ❯

tools. Integrate GIS solutions with OMS, WMS, SCADA, and ERP (e.g., SAP, Maximo) systems for seamless enterprise connectivity. Provide guidance on cloud deployments , DevOps , and CI/CD pipelines (Azure, AWS, VMware). Stay up to date with ESRI product advancements , developing accelerators, frameworks, and best practices that strengthen the organisation’s GIS capability. Skills & Experience Proven experience as More ❯

automated, and high-performing data solutions end to end. What We're Looking For • Strong experience with Python, Databricks and tools like Airflow • Confident working across Cloud Platforms (AWS, Azure, GCP) • Great communication skills and the ability to work with both technical and non-technical teams • Comfortable in a consultancy setting, balancing hands-on delivery with client engagement What More ❯

work effectively with both technical and non-technical teams. Problem-solver with strong analytical skills and a proactive approach. Familiarity with agile tools such as Jira, Confluence, GitHub, or Azure DevOps. Bonus points if you have Experience with JavaScript frameworks (React, Vue, Angular, jQuery). Knowledge of server-side frameworks (Laravel, Coldbox). Understanding of UX, accessibility standards, and More ❯

closing. Build senior-level relationships (CTO, CIO, CDO, COO, CFO, Heads of Engineering/Data/AI). Develop and maintain co-sell pipelines with partners such as AWS, Azure, GCP, Databricks, Snowflake, Palantir, and leading AI and security partners. Drive demand generation through events, partner initiatives, and strategic outreach. Maintain accurate forecasting and CRM discipline. Candidate Profile 10+ More ❯

automated, and high-performing data solutions end to end. What We’re Looking For Strong experience with Python, Databricks and tools like Airflow Confident working across Cloud Platforms (AWS, Azure, GCP) Great communication skills and the ability to work with both technical and non-technical teams Comfortable in a consultancy setting, balancing hands-on delivery with client engagement What More ❯

a bug or issue tracking system, and debuggers Experience of developing complex software applications Experience developing control systems Python Distributed systems Database interaction/SQL queries Cloud infrastructure (e.g. Azure/AWS) Our client is offering a hybrid working arrangement with 3 days in their offices and 2 days from home. There is flexible start and finish times so More ❯

experience with containerisation tools (Docker, Kubernetes). Experience mentoring junior engineers. Preferred experience Experience working in regulated or sensitive environments. Experience with graph-based retrieval methods. Experience working with Azure ML and integrating models into DevOps workflows. This is a business we have placed multiple very talented Engineers with and they all love working there. They offer excellent flexibility More ❯

closing. Build senior-level relationships (CTO, CIO, CDO, COO, CFO, Heads of Engineering/Data/AI). Develop and maintain co-sell pipelines with partners such as AWS, Azure, GCP, Databricks, Snowflake, Palantir, and leading AI and security partners. Drive demand generation through events, partner initiatives, and strategic outreach. Maintain accurate forecasting and CRM discipline. Candidate Profile 10+ More ❯

background in pipelines, ETL, and entity resolution Exposure to integrating KG + LLM or RAG architectures Experience with graph algorithms, embeddings, or GNNs Cloud & production engineering literacy (AWS/Azure/GCP, containerization, CI/CD) Excellent communication skills — able to explain complex graph/AI concepts to non-technical audiences ✅ Nice-to-Have/Bonus Assets Experience with More ❯

background in pipelines, ETL, and entity resolution Exposure to integrating KG + LLM or RAG architectures Experience with graph algorithms, embeddings, or GNNs Cloud & production engineering literacy (AWS/Azure/GCP, containerization, CI/CD) Excellent communication skills — able to explain complex graph/AI concepts to non-technical audiences ✅ Nice-to-Have/Bonus Assets Experience with More ❯

neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Excellent communication and More ❯

neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Excellent communication and More ❯

neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Excellent communication and More ❯

Owner or in a similar role. Strong knowledge of agile methodologies, backlog management, and DevOps practices. Experience working with APIs, integrations, and multi-platform solutions. Hands-on understanding of Azure DevOps and software delivery processes. Skilled at managing offshore/distributed teams and mentoring junior product colleagues. Excellent communicator who can bridge the gap between technical teams and business More ❯

integration patterns, APIs, and data modelling . Familiarity with financial services systems , particularly within the mortgage and insurance domains (desirable). Experience with tools such as Jira, Confluence, or Azure DevOps. What We Offer: Flexible hybrid working - only 1 day per week on-site in Leeds or Leicester Competitive salary and comprehensive benefits package Opportunity to work on complex More ❯

and coaching your team to grow their skills and take ownership of delivery. You’ll have previous hands-on experience with Java or Python, cloud platforms (AWS, GCP, or Azure), whilst working closely with cross functional teams to translate analytics and business needs into practical, high-impact data solutions. The Company This Edinburgh-based technology company is recognised globally More ❯

and coaching your team to grow their skills and take ownership of delivery. You'll have previous hands-on experience with Java or Python, cloud platforms (AWS, GCP, or Azure), whilst working closely with cross functional teams to translate analytics and business needs into practical, high-impact data solutions. The Company This Edinburgh-based technology company is recognised globally More ❯

pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem-solving skills and ability to More ❯