401 to 425 of 2,425 AWS Jobs

Vector databases (Pinecone, Weaviate, FAISS , Qudrant) Agentic AI frameworks (exposure to LangGraph, AutoGen, CrewAI or others) Exposure to cloud AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex AI). Understanding of basic Responsible AI principles and safe deployment patterns. Ability to collaborate with cross-functional teams ...

Sanity, Sitecore, or similar) - essential Experience leading and managing software engineers in a commercial environment Strong knowledge of modern engineering practices including cloud platforms (AWS, Azure or GCP), CI/CD, DevOps, observability, security and reliability Full-stack technical fluency with experience in modern web development (JavaScript, React, Angular, Node.js ...

related field. Additional relevant security certifications e.g. CISSP, SABSA, TOGAF. Legal or professional services experience is highly desirable. Knowledge of additional cloud platforms e.g. AWS, GCP. Experience with zero trust architecture implementation and least privilege principles. Background in application security and secure SDLC practices. Should you require additional support ...

related field. Additional relevant security certifications e.g. CISSP, SABSA, TOGAF. Legal or professional services experience is highly desirable. Knowledge of additional cloud platforms e.g. AWS, GCP. Experience with zero trust architecture implementation and least privilege principles. Background in application security and secure SDLC practices. Should you require additional support ...

close enough to delivery teams to see architectural decisions translate into real-world impact. Technology Environment The broader technology landscape includes: • .NET/C# • AWS cloud infrastructure • Microservices and distributed systems • API-first architecture • Event-driven systems • Kubernetes and containerisation • CI/CD and modern DevOps practices • Enterprise integration platforms ...

production systems on-prem or in a private cloud (Linux, containers, networking, monitoring/ops). The company runs on-prem infrastructure — public cloud (AWS/GCP/Azure) experience is welcome but not required; what matters is transferable ops fundamentals. Strong stakeholder communication and ability to work with ambiguous ...

plus. Exposure to ML Ops or production systems (nice to have) Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP). Experience deploying models via APIs or lightweight services is a bonus, not a requirement. Software engineering basics Understanding of Git/GitHub/Azure ...

experience managing cloud-based platforms such as Google Workspace and Okta Strong networking and security expertise (WLAN, VLANs, firewalls, ACLs, VPNs, switching) Experience with AWS (preferred) and/or Microsoft Azure, with exposure to Infrastructure-as-Code tools like Terraform Experience managing Mobile Device Management (MDM) platforms across desktop ...

quantitative discipline) Strong foundations in mathematics and analytical reasoning Strong hands-on experience with, programming & Analytics: Python, SQL, Scikit-learn, TensorFlow Data & Cloud: AWS (Athena, S3, Redshift), data warehousing, ETL pipelines Visualisation & Tools: Jupyter, Visual Studio Code, Microsoft Excel, dashboards and reporting solutions Development Environments: Linux/Ubuntu, Git/ ...

quantitative discipline) Strong foundations in mathematics and analytical reasoning Strong hands-on experience with, programming & Analytics: Python, SQL, Scikit-learn, TensorFlow Data & Cloud: AWS (Athena, S3, Redshift), data warehousing, ETL pipelines Visualisation & Tools: Jupyter, Visual Studio Code, Microsoft Excel, dashboards and reporting solutions Development Environments: Linux/Ubuntu, Git/ ...

activation platforms — Braze, Salesforce Marketing Cloud, Talon.One, Hightouch, LiveRamp. Background in consumer-facing sectors — hospitality, travel, retail, CPG or media. Cloud platform certifications — AWS preferred; Azure or GCP equally welcome. Familiarity with GDPR, consent management and data governance in a marketing context. Exposure to AI/ML use cases applied ...

client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge ...

leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

e.g., Jenkins, GitLab CI, Azure DevOps) Strong knowledge of Linux/Unix systems administration Familiarity with Docker/containerization technologies Experience with cloud platforms (AWS, Azure, or GCP) Good scripting skills (Bash, Python, or similar) Understanding of networking, security, and monitoring tools ...

e.g., Jenkins, GitLab CI, Azure DevOps) Strong knowledge of Linux/Unix systems administration Familiarity with Docker/containerization technologies Experience with cloud platforms (AWS, Azure, or GCP) Good scripting skills (Bash, Python, or similar) Understanding of networking, security, and monitoring tools ...

e.g., Jenkins, GitLab CI, Azure DevOps) Strong knowledge of Linux/Unix systems administration Familiarity with Docker/containerization technologies Experience with cloud platforms (AWS, Azure, or GCP) Good scripting skills (Bash, Python, or similar) Understanding of networking, security, and monitoring tools ...

e.g., Jenkins, GitLab CI, Azure DevOps) Strong knowledge of Linux/Unix systems administration Familiarity with Docker/containerization technologies Experience with cloud platforms (AWS, Azure, or GCP) Good scripting skills (Bash, Python, or similar) Understanding of networking, security, and monitoring tools ...

Skills Python, TypeScript LLM frameworks (LangChain, LlamaIndex, OpenAI tools, Semantic Kernel) Vector databases (Pinecone, Weaviate, Chroma) Cloud (AWS/Azure/GCP) Docker, Kubernetes CI/CD, observability, testing for AI systems Experience Strong experience building LLM applications, RAG systems, or AI agents Understanding of prompt engineering, tool-calling ...

years building and shipping production systems • Strong Python/Java/TypeScript experience • Hands-on experience with LLMs, agents, or AI workflows • Cloud experience (AWS, GCP, or Azure) • Comfortable in client-facing, cross-functional/Consulting environments Package 💷 Up to £145k + Bonus + Benefits (Depending on experience) Location 🏢 London ...