751 to 775 of 3,272 Permanent Digital & IT Jobs

least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics ...

least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

least 1 year of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

least 1 year of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

Extensive background in providing accurate, timely information on progress, resourcing, and impediments to allow informed decision making Experience using agile tools such as Azure DevOps, Actionable Agile or similar. Excellent stakeholder management and communication skills. Experience of leading technical delivery teams utilising automated delivery methodologies including automated development ...

least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics ...

least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience. Preferred Qualifications • Experience with cloud security across AWS, Azure, or GCP. • Knowledge of AI/ML security and adversarial testing methods, including evaluating LLMs and other models for manipulation, evasion, and data integrity ...

managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++ ...

managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++ ...

.NET/React Developer Rate: £500 per day (Inside IR35) Location: Milton Keynes (1 day per month onsite, with additional onsite attendance during onboarding) Contract: Until End of Year The Opportunity We're looking for ...

Job Description This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In ...

Azure Cloud Security Engineer Hybrid 1day/wk Evaluate new security technologies and cloud services, performing engineering work and security analysis to determine if solutions should be pursued, and subsequently implementing them as required, focusing on cloud-first and cloud-native technologies. Develop cloud security solutions by applying … Security Engineer, CCSP, CISSP, CCSK) are highly desirable. Proven experience in designing, implementing, and securing cloud environments, with a strong emphasis on Microsoft Azure services. Strong understanding of regulatory compliance requirements (e.g. GDPR, ISO 27001, NIST) and experience implementing security controls to meet those requirements. In-depth ...

This is not a generic Head of IT role. The successful candidate will combine strong strategic leadership with genuine technical depth across Microsoft Azure, enterprise infrastructure and Identity services , while leading the move from traditional datacentre-centric operations towards a more cloud-first, automated and Platform Engineering … model. Key areas of responsibility: Microsoft Azure, hybrid cloud and datacentre infrastructure Windows/Linux platforms, storage, backup and disaster recovery Active Directory, Entra ID, SSO, MFA and wider Identity services Platform Engineering, Terraform/IaC, CI/CD and automation Observability, SRE, resilience and AIOps FinOps ...

full lifecycle from initial requirements through to development, testing, deployment and support. A large part of the role will involve working with Microsoft Azure and modern integration patterns, building APIs, automated workflows, messaging solutions and event-driven integrations. You'll work closely with other Engineers, Analysts, Product … contributing ideas around future integration standards and architecture. What We're Looking For You'll ideally have: Strong experience building integrations within Microsoft Azure Good knowledge of APIs, messaging and event-driven architecture Experience connecting cloud applications and enterprise systems Hands-on development experience using C#, JavaScript ...