126 to 150 of 1,156 Remote/Hybrid Microsoft-Azure Jobs

/or feature knowledge of one or more of the listed Data and AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, and Databricks. Experience in one or more of the listed Languages such as: Python, R, PySpark Experience in one or more of the following ...

arena who can combine technical credibility with strong people management and strategic thinking. Technical Skills Strong understanding of Microsoft 365, Azure AD/Entra, Intune, and Windows and network environments Networking fundamentals (VLANs, firewalls, routing, VPNs) Backup/BCDR technologies Endpoint security and XDR/EDR platforms ...

with 6 years as a Scrum Master Strong knowledge of Agile frameworks Scrum Kanban SAFe Handson experience with tools like JIRA Confluence or Azure DevOps Excellent communication facilitation and stakeholder management skills Ability to manage risks dependencies and cross team coordination Scrum certification CSMPSMSAFe and experience in banking ...

digital transformation in a complex organisation Experience developing and executing digital, data and technology strategies Strong understanding of cloud technologies (Microsoft 365, Azure) and enterprise architecture Expertise in cyber security, risk management and information governance Strategic thinker with the ability to translate vision into delivery Strong leadership ...

making across the organisation. Key Skills: SQL & Power BI Data modelling, ETL & data pipelines Advanced Excel API data integration Python (desirable) Cloud platforms (Azure, AWS or GCP) advantageous Salary: £60,000 per annum Location: Fully Remote Type: Full-time, Permanent CVs to Nick ASAP for immediate review ...

requirements and suggest improvements Desirable Experience Experience within insurance, financial services, or other regulated sectors Exposure to performance or stress testing Familiarity with Azure DevOps and Confluence This is an excellent opportunity for a quality-focused testing professional who enjoys working across the full software development lifecycle ...

solutions. Tech Environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes, and GPU infrastructure. What We're Looking For Proven experience designing enterprise AI or ML architectures, with a strong understanding of cloud ...

modelling experience · Strong understanding of metrics, reporting accuracy and data quality · Confident stakeholder engagement skills · Exposure to Databricks, cloud data platforms, GA4 or Azure would be advantageous In return they are offering · A salary of up to £50,000 + Bonus · Hybrid working · 25 days annual leave plus ...

modelling experience · Strong understanding of metrics, reporting accuracy and data quality · Confident stakeholder engagement skills · Exposure to Databricks, cloud data platforms, GA4 or Azure would be advantageous In return they are offering · A salary of up to £85,000 + Bonus · Hybrid working · 25 days annual leave plus ...

solutions using modern AI and analytics, get in touch with Justin Donaldson for a confidential conversation. Skills: Python ETL SQL LLM NLP RAG Azure JBLE1 ...

using Terraform or OCI Resource Manager. Implement CI/CD pipelines for Fusion extensions and integrations using tools such as Jenkins, GitLab, or Azure DevOps. Fusion Environment Control: Manage and support the technical operations around Fusion quarterly updates, patches, and custom deployments. Ensure effective version control and environment ...

multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering ...

multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering ...

multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering ...

learn and pick up technologies to use the right tool for the job You have experience with cloud based environments e.g., AWS, Azure, Google Cloud, including designing scalable, secure data infrastructures You're comfortable with AI and Agentic programming, using it in your daily activities You have strong ...

cloud governance models, cloud FinOps, and service catalogues. Bachelor's degree in computer science or a related field. Professional certifications such as AWS, Azure, or GCP Professional Certifications, ITIL Foundation, CISSP, and TOGAF. If you have a strong background in cloud-based Product ownership and are looking ...

data architecture and Lakehouse principles. Excellent SQL skills and experience working with distributed data systems. Experience working with cloud platforms such as AWS, Azure, or GCP. Strong Agile delivery experience. Experience leading technical teams and delivering complex projects. Expected split: ~30-50% hands-on coding + technical problem ...

experience with Apache Spark/PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data ...

following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes ...

skills Existing SC clearance Experience working in defence, secure technology, or other highly regulated environments Knowledge of cloud platforms such as AWS or Azure Experience with Infrastructure as Code, for example Terraform Familiarity with containerisation such as Docker and orchestration platforms such as Kubernetes Understanding of zero-trust ...

technical users A practical, user-focused mindset with a focus on continuous improvement Desirable: experience with Power BI, integrations/APIs, Azure DevOps, or working with third-party vendors. How You’ll Work You’ll work closely with the Product Manager, developers and business stakeholders across the organisation. ...

able to adapt methods and outputs to suit the context. Nice to Have Experience with cloud‐based data platforms or analytics tooling (e.g. Azure, Power BI). Prior exposure to data governance, data quality, or information management initiatives. What we offer Enjoy a benefits package designed to help ...

stakeholders alike. And what is the technical environment? Thisincludes : Python software engineering, AWS, Terraform, Jira, GitHub (with Copilot). CI/CD Pipelines, Azure APIM, Rest APIs, Microservices, Grafana, Agile, Event Driven Architecture This rolemayinvolve on-call working on a rota basis (24/7) To be successful ...

have built a representative and welcoming environment, for everyone. Your skills and experience A proven track record in platform engineering, particularly with: Azure/AWS, Infrastructure as Code and VCS (GitHub). A background in infrastructure and networking would be advantageous, as would experience working in an Agile ...

equities trading and brokerages Experience with build tools and automation Gradle, GitHub Actions etc Experience with cloud computing platforms, such as AWS or Azure, is a plus. WHY US: To be immersed in high-standard engineering culture. Our fantastic team takes pride in crafting complex technical solutions ...