2,226 to 2,250 of 9,888 Permanent Azure Jobs

end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and … research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion for building practical, scalable AI solutions Excellent teamwork and communication skills Full right to work More ❯

end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and … research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion for building practical, scalable AI solutions Excellent teamwork and communication skills Full right to work More ❯

end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and … research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion for building practical, scalable AI solutions Excellent teamwork and communication skills Full right to work More ❯

end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and … research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion for building practical, scalable AI solutions Excellent teamwork and communication skills Full right to work More ❯

working within a fast paced and everchanging environment. Attention to detail with a pragmatic and enthusiastic attitude to work. Desirable Skills and Technologies: Experience and knowledge of AWS/Azure and Azure Virtual Desktop. Python or Java, React, Go Familiarity with deploying applications to cloud architecture and technologies in AWS environments. Experience with web application services Experience of More ❯

than proofs of concept. Responsibilities include: • Developing and maintaining the organisation’s LLM operations platform, including orchestration and observability. • Designing and deploying AI solutions using Langfuse, LiteLLM, OpenAI, and Azure OpenAI. • Working closely with engineering teams to embed AI capabilities within core products. • Implementing and integrating knowledge graph systems such as Neo4j. • Working within Kubernetes, .NET/C#/… to think strategically about architecture and commercial outcomes. Essential experience and skills: • Demonstrable production experience with LLM and machine learning systems. • Hands-on knowledge of Langfuse, LiteLLM, OpenAI, or Azure OpenAI. • Familiarity with graph databases, ideally Neo4j. • Experience in cloud environments, containerisation, and CI/CD pipelines. • Strong background in either .NET/C#/SQL or PHP/ More ❯

working within a fast paced and everchanging environment. Attention to detail with a pragmatic and enthusiastic attitude to work. Desirable Skills and Technologies: Experience and knowledge of AWS/Azure and Azure Virtual Desktop. Python or Java, React, Go Familiarity with deploying applications to cloud architecture and technologies in AWS environments. Experience with web application services Experience of More ❯

than proofs of concept. Responsibilities include: • Developing and maintaining the organisation’s LLM operations platform, including orchestration and observability. • Designing and deploying AI solutions using Langfuse, LiteLLM, OpenAI, and Azure OpenAI. • Working closely with engineering teams to embed AI capabilities within core products. • Implementing and integrating knowledge graph systems such as Neo4j. • Working within Kubernetes, .NET/C#/… to think strategically about architecture and commercial outcomes. Essential experience and skills: • Demonstrable production experience with LLM and machine learning systems. • Hands-on knowledge of Langfuse, LiteLLM, OpenAI, or Azure OpenAI. • Familiarity with graph databases, ideally Neo4j. • Experience in cloud environments, containerisation, and CI/CD pipelines. • Strong background in either .NET/C#/SQL or PHP/ More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that … Senior (5+ years of experience) Experience with Python, PyTorch, TensorFlow, Scikit learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Benefits Competitive salary with annual performance based bonuses Equity options - share in the company's long term success Private healthcare and comprehensive wellbeing More ❯

This role will focus on developing high-quality, scalable solutions using C# both on the backend and frontend with Blazor. You will be using a modern toolchain that includes Azure services and Kubernetes to build and host what you produce. The successful candidate will work collaboratively in a dynamic cross-functional team to deliver impactful projects that are core … Knowledge and Expertise Requirements : Experience building web based applications with C# .net. Experience with writing unit tests, or test driven development an advantage. Experience with cloud platforms such as Azure, AWS or GCP. Experience with SQL databases and other data storage technologies. Experience building web front ends, with Blazor an advantage, but not a necessity. Be self-driven and More ❯

the Build of web applications with browser and MS Teams compatibility. - Oversee UI and backend deployments in SIT/UAT/Production environments. - Manage CI/CD pipelines using Azure DevOps. Access & Security Management - Implement authorization code flows and manage access tokens for user profile extraction. - Coordinate with cloud engineering teams to provision secure access to Databricks Mosaic AI … provisioning, bug fixes, and deployment blockers. -Troubleshoot integration failures and lead resolution efforts with internal and external stakeholders. Your Profile Essential skills/knowledge/experience: Strong proficiency in Azure Data Services, Databricks, Snowflake, ServiceNow APIs, SAP connectors, Mulesoft, RESTful APIs, OAuth2, SQL, Python, .NET, NodeJS Experience with DevOps tools (Azure DevOps, Terraform, CI/CD pipelines). More ❯

users with per-team or per-project isolation Support libraries, kernels, and runtime environments for data science users -Cloud & Platform Architecture Design hybrid/cloud-native architectures using RedHatOpenShift, Azure Architect storage strategies (e.g., CephFS, S3-compatible) for notebooks and datasets Build CI/CD pipelines (Jenkins, GitHub Actions,AzureDevops) for deploying platform updates Implement backup, DR, and compliance … years hands-on with OpenShift or Kubernetes in production environments Strong experience administering JupyterHub or Kubeflow Notebooks Proficient with YAML, Helm, and Operator-based deployments Experience with cloud platforms ( Azure, or RedHat OpenShift) Familiarity with storage integration (NFS, Ceph, S3) and dynamic volume provisioning Solid understanding of RBAC, IAM, and secure networking (TLS, ingress/egress rules) Preferred Qualifications More ❯

within the team Managing complex deliverables to successful completion, balancing technical debt and business priorities What We're Looking For Hands-on skills across the following: .Net, C#, SQL, Azure, Kubernetes, Docker, Azure DevOps Proven track record of leading technical staff and delivering complex projects Expertise in software best practices, automated testing methods and ability to identify areas More ❯

within the team Managing complex deliverables to successful completion, balancing technical debt and business priorities What We're Looking For Hands-on skills across the following: .Net, C#, SQL, Azure, Kubernetes, Docker, Azure DevOps Proven track record of leading technical staff and delivering complex projects Expertise in software best practices, automated testing methods and ability to identify areas More ❯

of engaging clients, influencing decision-making, and delivering large-scale solutions. Experience leading architecture for enterprise-scale programmes across application, business, or integration domains. Knowledge across cloud platforms (AWS, Azure, GCP) and modern delivery approaches (agile, DevOps, CI/CD). Experience assessing solution options, selecting technologies, and designing roadmaps that guide delivery. Strong technical breadth across areas such … leadership and mentoring to engineering teams. What's on Offer Salary between £90,000-£107,000 + bonus + car allowance. Access to advanced training and certifications in AWS, Azure, and GCP. Work on mission-critical projects with genuine social and business impact. Hybrid working with UK-wide office network. A diverse, inclusive culture with strong investment in career More ❯

architectures, mentoring team members, and working closely with stakeholders to deliver high-quality, scalable solutions. You’ll work extensively with Snowflake , Python , and SQL , leveraging leading cloud technologies (AWS, Azure, or GCP) and best practices in CI/CD and automation . This is a hands-on and strategic position, ideal for an experienced data engineer who enjoys both … funded certifications to stay ahead in emerging technologies. Key Skills & Experience Experience: 5+ years building and optimising data pipelines, architectures, and large-scale data systems within cloud environments (AWS, Azure, or GCP). Snowflake Expertise: Strong practical experience with Snowflake components (Snowpipe, Snowpark, Tasks, Dynamic Tables, UDFs). SnowPro certification preferred. Technical Proficiency: Advanced Python and SQL skills for More ❯

architectures, mentoring team members, and working closely with stakeholders to deliver high-quality, scalable solutions. You’ll work extensively with Snowflake , Python , and SQL , leveraging leading cloud technologies (AWS, Azure, or GCP) and best practices in CI/CD and automation . This is a hands-on and strategic position, ideal for an experienced data engineer who enjoys both … funded certifications to stay ahead in emerging technologies. Key Skills & Experience Experience: 5+ years building and optimising data pipelines, architectures, and large-scale data systems within cloud environments (AWS, Azure, or GCP). Snowflake Expertise: Strong practical experience with Snowflake components (Snowpipe, Snowpark, Tasks, Dynamic Tables, UDFs). SnowPro certification preferred. Technical Proficiency: Advanced Python and SQL skills for More ❯

architectures, mentoring team members, and working closely with stakeholders to deliver high-quality, scalable solutions. You’ll work extensively with Snowflake , Python , and SQL , leveraging leading cloud technologies (AWS, Azure, or GCP) and best practices in CI/CD and automation . This is a hands-on and strategic position, ideal for an experienced data engineer who enjoys both … funded certifications to stay ahead in emerging technologies. Key Skills & Experience Experience: 5+ years building and optimising data pipelines, architectures, and large-scale data systems within cloud environments (AWS, Azure, or GCP). Snowflake Expertise: Strong practical experience with Snowflake components (Snowpipe, Snowpark, Tasks, Dynamic Tables, UDFs). SnowPro certification preferred. Technical Proficiency: Advanced Python and SQL skills for More ❯

architectures, mentoring team members, and working closely with stakeholders to deliver high-quality, scalable solutions. You’ll work extensively with Snowflake , Python , and SQL , leveraging leading cloud technologies (AWS, Azure, or GCP) and best practices in CI/CD and automation . This is a hands-on and strategic position, ideal for an experienced data engineer who enjoys both … funded certifications to stay ahead in emerging technologies. Key Skills & Experience Experience: 5+ years building and optimising data pipelines, architectures, and large-scale data systems within cloud environments (AWS, Azure, or GCP). Snowflake Expertise: Strong practical experience with Snowflake components (Snowpipe, Snowpark, Tasks, Dynamic Tables, UDFs). SnowPro certification preferred. Technical Proficiency: Advanced Python and SQL skills for More ❯

architectures, mentoring team members, and working closely with stakeholders to deliver high-quality, scalable solutions. You’ll work extensively with Snowflake , Python , and SQL , leveraging leading cloud technologies (AWS, Azure, or GCP) and best practices in CI/CD and automation . This is a hands-on and strategic position, ideal for an experienced data engineer who enjoys both … funded certifications to stay ahead in emerging technologies. Key Skills & Experience Experience: 5+ years building and optimising data pipelines, architectures, and large-scale data systems within cloud environments (AWS, Azure, or GCP). Snowflake Expertise: Strong practical experience with Snowflake components (Snowpipe, Snowpark, Tasks, Dynamic Tables, UDFs). SnowPro certification preferred. Technical Proficiency: Advanced Python and SQL skills for More ❯

within a call-centre setting is a plus Understanding of product architecture and data flows well enough to ask the right questions and avoid misinterpretation Usage of tools like Azure DevOps, SQL, Power BI, and Figma to validate assumptions and support solution design. Participation in UAT and environment setup to ensure what's delivered matches what was asked for. … Data analysis and reporting tools (Excel, Power BI, SQL). Requirements management and collaboration tools (Azure DevOps, Jira, Confluence). Process modelling and prototyping tools (BPMN, UML, Figma, Axure) Broader Responsibilities Contribute to continuous improvement backlog and DevOps readiness. Participate in environment setup, UAT, and testing as required. Support business readiness, training, and documentation for new releases and process More ❯

within a call-centre setting is a plus Understanding of product architecture and data flows well enough to ask the right questions and avoid misinterpretation Usage of tools like Azure DevOps, SQL, Power BI, and Figma to validate assumptions and support solution design. Participation in UAT and environment setup to ensure what’s delivered matches what was asked for. … Data analysis and reporting tools (Excel, Power BI, SQL). Requirements management and collaboration tools (Azure DevOps, Jira, Confluence). Process modelling and prototyping tools (BPMN, UML, Figma, Axure) Broader Responsibilities Contribute to continuous improvement backlog and DevOps readiness. Participate in environment setup, UAT, and testing as required. Support business readiness, training, and documentation for new releases and process More ❯

Extended Leadership Team. This role attracts a Market Pay Supplement of £5000 to £10,000. Main duties of the job Lead financial governance across Amazon Web Services (AWS) and Azure environments in collaboration with the Cloud Centre of Excellence. Provide technical and financial oversight of platform costs, forecasting, and optimisation activities. Guide stakeholders on cloud financial performance, usage trends … embed FinOps principles within the Platform Engineering team, influencing cloud usage behaviours and governance structures across the agency. You will: Own the cloud cost governance approach for AWS and Azure environments, ensuring accurate distribution of service costs across the organisation. Collaborate with business and technical stakeholders to support consumption forecasts, budget planning, and financial reporting. Lead on implementation of … delivery maturity across UKHSA. Essential criteria: A degree in Computer Science, Information Systems, Cloud Engineering, or IT Financial Management. Proven experience in financial management of cloud services (AWS/Azure). Strong understanding of platform engineering principles and cloud infrastructure. Expertise in cost modelling, budget forecasting, and consumption reporting. Hands-on experience with financial dashboarding tools (e.g., Power BI More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that … full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science, and engineering to push the boundaries of what's possible. All Machine Learning Engineer positions More ❯

as associated experience, then apply with your CV below. Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep … full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science, and engineering to push the boundaries of what's possible. All Machine Learning Engineer positions More ❯