26 to 49 of 49 Azure Machine Learning Jobs

Evaluating emerging AI technologies and helping shape technical direction and best practices. What We're Looking For Commercial experience designing and building AI, machine learning, or generative AI applications. Strong Python engineering skills and experience developing production-grade software. Hands-on experience with technologies such … Azure OpenAI, Azure AI Services, and Azure Machine Learning. Knowledge of modern AI frameworks including LangChain, Hugging Face, PyTorch, or similar technologies. Deep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systems. Experience ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred.Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least … equivalent demonstrable experience.Advanced degree (MS in CS/AI/ML or related) beneficial but not required given sufficient hands-on depth.Continuous, demonstrable learning in AI — publications, open-source contributions, conference speaking, or lab-based experimentation are all valued signals.Job RequirementsEnterprise Architect — Artificial IntelligenceAI/ML Infrastructure, Platform ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least … experience. Advanced degree (MS in CS/AI/ML or related) beneficial but not required given sufficient hands-on depth. Continuous, demonstrable learning in AI — publications, open-source contributions, conference speaking, or lab-based experimentation are all valued signals. Job RequirementsEnterprise Architect — Artificial IntelligenceAI/ML Infrastructure ...

Technology Engineering senior leadership team, the Head of AI Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines and MLOps tooling. The role is responsible for establishing AI engineering … paced technology environment. Strong expertise in machine learning, MLOps, generative AI, LLMs, AI platforms and cloud technologies (e.g. Microsoft Azure AI/Azure ML). Proven experience implementing AI engineering standards, deployment automation, model monitoring and Responsible AI frameworks. Excellent ...

runbook quality, and resilience patterns are consistently applied across services.People LeadershipLead and mentor a team of SRE engineers, fostering a culture of ownership, learning, and engineering excellence.Drive career development, performance management, and technical capability growth across the team.Collaborate with HR and Talent teams to build local hiring pipelines … including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, SentinelAWS Lambda, ECS, RDS, CloudWatchStrong understanding of SRE principles (SLOs, SLIs, error budgets, incident response).Hands-on experience with container orchestration (Kubernetes ...

quality, and resilience patterns are consistently applied across services. People LeadershipLead and mentor a team of SRE engineers, fostering a culture of ownership, learning, and engineering excellence. Drive career development, performance management, and technical capability growth across the team. Collaborate with HR and Talent teams to build local … including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, SentinelAWS Lambda, ECS, RDS, CloudWatchStrong understanding of SRE principles (SLOs, SLIs, error budgets, incident response).Hands-on experience with container orchestration (Kubernetes ...

with customers through workshops, training sessions, and documentation to empower them to effectively utilize, maintain, and reproduce the AI solutions you deliver.Maintain continuous learning and stay up-to-date with the rapidly evolving GenAI landscape, proactively seeking knowledge of new trends and technologies.Required Qualifications:Enterprise Application Development: 5+ … including AI orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning).Data Expertise: Strong foundation in data engineering, data analytics, or data science, with the ability to work effectively with various data ...

startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we'll help you with themMachine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlowDeploying and managing in Cloud Computing such ...

tools. Experience with Infrastructure as Code such as OpenTofu (preferred) or Terraform Experience of deploying workloads to, and consuming cloud platform resources (Microsoft Azure preferred). Substantial experience supporting the build and deployment of, or coding in one or more of the following or equivalent: Python .Net … Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides (opens in a new window). Unlimited Pluralsight video learning access Access to Microsoft's ESI training suite Hybrid working with no core hours Substantial support for career progression 25 days annual leave moving ...

will coordinate delivery across a cutting-edge, multi-supplier enterprise stack spanning Scala/JVM microservices, Microsoft Dynamics 365, Power Platform, Azure integrations, and a sophisticated Lakehouse data and analytics platform built on Azure Databricks, MLOps, and Power BI. Key Responsibilities Multi-ART Leadership … Integration: Drive the delivery of end-to-end data products. Coordinate ETL/ELT ingestion pipelines on Azure Databricks, integrate machine learning lifecycles (MLOps) into sprint cadences, and oversee governed Power BI deployment pipelines. GDS and Public Sector Governance: Ensure all delivery adheres ...

experience with Databricks, SQL, and data modelling. Proficiency with big data tools (e.g., Apache Spark, Apache Kafka, Presto, etc.) and cloud services (e.g., Azure, AWS, GCP).Familiarity with data visualization tools and business intelligence (e.g., Power BI). Solid … grasp of ETL workflows within databases/warehouses such as Oracle, PostgreSQL, SQL Server etc.Excellent problem-solving and interpersonal skills.Preferred Qualifications: Experience with machine learning frameworks and tools such as Azure ML Studio, AWS Sagemaker etc. Knowledge of real-time data processing ...

Agile ceremonies, including sprint planning, daily stand-ups, demos, retrospectives, and backlog refinement, managing Application Lifecycle Management (ALM) and version control via Azure DevOps. Produce and maintain high-quality technical documentation, including solution designs, system diagrams, test scripts, release notes, and operational runbooks. Collaborate effectively with Platform … e.g., PL-500, PL-200, PL-400, AB-620) or relevant Azure/AI credentials. Exposure to Copilot tools or Machine Learning platforms (e.g., Foundry, Azure ML). Experience integrating with enterprise platforms such as Workday, ServiceNow, or SAP Risk ...

opportunity to own the architecture of an enterprise AI platform spanning Azure and AWS, supporting everything from traditional machine learning to Generative AI, LLMs, and emerging AI technologies. The business is looking for a technically strong architect to define the platform's direction … scalable, production-ready capabilities. Key Responsibilities of the AI Platform Architect Own the end-to-end architecture of an enterprise AI platform across Azure and AWS. Design capabilities for ML training, model hosting, MLOps and Generative AI. Define architecture patterns for LLMs, RAG, vector search and agent ...

Java), frontend (React, Angular), APIs (REST/GraphQL) Machine Learning: Foundations of MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQLLLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance … velocity for the whole org Product sensibility: Prioritize for user value, MVP iteration, and long-term scale DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code Field readiness: Able to travel up to 30% to embed onsite ...

your priorities – work/life balance, career progression, sustainability, volunteering – you'll find like-minded people driving change at Howden. Senior Platform Engineer - Azure Data & AI Platform The Role We are looking for senior platform engineers to build and operate our Azure-based data … Offer Actual flexibility: Remote-first with occasional in-office travel for workshops/planning. We care about outcomes, not seat time. Real learning budget: for conferences, training, certifications. We expect you to use it. Tooling: You'll get the equipment and licenses you need ...

required. Experience integrating and transforming enterprise data from ERP, TMS, or EPM systems into analytical platforms, using ETL/ELT tools (such as Azure Data Factory, Synapse Pipelines, SSIS, Notebooks) and data engineering languages (Python, SQL). Proficiency in designing and optimizing modern data architectures, including data … Familiarity with Software Development Lifecycle, DevOps practices (Git-based source control, CI/CD pipelines, automated testing), and emerging AI/ML platforms (Azure ML, Microsoft Copilot, Azure Open AI), with attention to data privacy and responsible AI. Strong ability to collaborate in cross ...

required. Experience integrating and transforming enterprise data from ERP, TMS, or EPM systems into analytical platforms, using ETL/ELT tools (such as Azure Data Factory, Synapse Pipelines, SSIS, Notebooks) and data engineering languages (Python, SQL). Proficiency in designing and optimizing modern data architectures, including data … Familiarity with Software Development Lifecycle, DevOps practices (Git-based source control, CI/CD pipelines, automated testing), and emerging AI/ML platforms (Azure ML, Microsoft Copilot, Azure Open AI), with attention to data privacy and responsible AI. Strong ability to collaborate in cross ...

adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. … timelines, while proactively managing risks and dependencies; mentor and coach junior engineers and consultants, fostering a culture of innovation, technical excellence, and continuous learning Collaborate with strategic alliance partners (Microsoft, Google, AWS, Salesforce) to incorporate the latest ecosystem innovations into client engagements Stay current with emerging AI/ ...

adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. … timelines, while proactively managing risks and dependencies; mentor and coach junior engineers and consultants, fostering a culture of innovation, technical excellence, and continuous learning Collaborate with strategic alliance partners (Microsoft, Google, AWS, Salesforce) to incorporate the latest ecosystem innovations into client engagements Stay current with emerging AI/ ...

adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. … timelines, while proactively managing risks and dependencies; mentor and coach junior engineers and consultants, fostering a culture of innovation, technical excellence, and continuous learning Collaborate with strategic alliance partners (Microsoft, Google, AWS, Salesforce) to incorporate the latest ecosystem innovations into client engagements Stay current with emerging AI/ ...

tools to push the boundaries of what's possible today, with the scepticism to avoid overhyping what they can do. You're actively learning and experimenting with AI tools, pushing the boundary of what's possible today, with the healthy scepticism that keeps you from overhyping what they ...

optimization, chunking strategies and evaluation harnesses. Develop APIs, microservices and serverless workflows for scalable deployment. ML/LLM EngineeringWork with AI+ML pipelines through Azure ML, AWS SageMaker, Vertex AI, Databricks, or Modal/Fly.io for lightweight LLM deployment. Utilize vector databases (Pinecone, Weaviate, Milvus, ChromaDB, pgVector … 2.x, Mistral Large, LLaMA 3, Cohere Command R+, DeepSeekFrameworks: LangChain, LlamaIndex, Haystack, AutoGen, CrewAITools: GitHub Copilot, Cursor, LangSmith, LangFuse, Weights & Biases, MLflow, HumanloopCloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks, ModalInfra: Python, Docker, Kubernetes, SQL/NoSQL, PyTorch, FastAPI, RedisStaffworx are a UK based Talent & Recruiting ...

tests before a managed service vendor operates it. The team also governs AI tool security posture, advises on cloud security across the Azure and GCP estate, and is the front door between GSK's business units and R&D and the technical AI function. AI security standards … raising gaps rather than filling them informally. Preferred Qualifications: You have debugged a failing vector index rebuild and can explain what you changed. Azure or GCP fundamentals certification (AZ-900, AI-900 or equivalent)Working knowledge of prompt-injection test patterns from the OWASP ...

Power Automate, Dataverse and Power BI, such as operator apps, approvals, alerts and reportingConnect devices and embedded systems to the Microsoft stack using Azure IoT Hub, Event Hubs, Logic Apps, Functions and custom connectorsWork with embedded software and firmware where needed, such as telemetry, device data, protocols … interfaces between hardware and cloudApply AI where it adds real value, using Copilot Studio, AI Builder, Azure OpenAI and Azure ML for anomaly detection, classification, summarisation and intelligent assistantsPrototype quickly, get working versions in front of users early and iterate on their feedbackBuild ...