1,976 to 2,000 of 3,856 Digital & IT Jobs

Python/Typescript or React You have recent experience building, deploying, and running cloud-native applications on top of AWS and/or Azure You have strong practical experience of defining strategies, building and delivering products & services using Agentic AI optionally including professional level certificationYou're used ...

with an analytical and creative mindset. Experience building AI-enabled data architectureCommercial experience in one or more major cloud platform(s) (AWS, GCP, Azure), preferably with relevant certifications. Competency around AI/Agentic AIA background working in software development, data engineering or data science, with a desire ...

pipelines, vector stores, and an orchestration framework such as LangChain or LlamaIndex. Cloud and MLOps. Working knowledge of a major cloud platform (AWS, Azure, or GCP), including containers, CI/CD, and model monitoring. Production-grade programming. Proficiency in Python or a comparable language, sufficient to build ...

SqlDBM, including data modelling and schema design AWS architecture, including EC2, RDS, databases, SQS, Kinesis, S3 and Lambda, plus familiarity with Azure Experience with real-time ingestion, streaming and processing technologies, API design, graph databases, and AI-enabled solutions including MCP Familiarity with Tableau, GitHub, Jira, CI/ ...

high tech sales environment with a demonstrated track record of success. High knowledge with Cloud solutions (IaaS, SaaS, PaaS), especially with CSPs (Azure, AWS, Google Cloud)Strong experience with Cloud Security, Cloud Architecture and Directory Services (AD, EntraID)Relevant experience with enterprise applications, security management, systems management, identity ...

APIs/web services Plugins (Dynamics) JavaScript HTML Dynamics 365, Dataverse Workflow Assemblies PCF Controls Fetch XML Web Resources Power Apps, Power Automate Azure Functions, Logic Apps Why should you apply? We're not a perfect place - but we're a people place. Our priority is supporting ...

microservices systems, including distributed data management and event-driven architecturesare skilled in designing and operating containerised software hosted in a Cloud Provider (AWS, Azure, or GCP)have experience with cloud-based data storage, such as: Relational Databases, NoSQL Stores, data caches, etchave experience writing strongly-typed languages ...

Flexibility is essential to adapt to schedule changes as needed. Preferred Requirements Current U.S. Government clearance preferred. Experience in cloud based technologies. (AWS, Azure) Next-Gen Coding Agents: Proven use of AI tools (Claude Code, Gemini) in daily engineering workflows. Agentic Feature Delivery: Using autonomous agents for multi ...

rapidly converting them into working prototypes Experience collaborating directly with Product Managers and Designers in discovery and validation activities Cloud experience (AWS, Azure) Familiarity with ASP.NET Core, C# or similar enterprise web backends Working alongside external development or engineering partners Automated testing frameworks (unit, integration, E2E, visual regression ...

deliver cutting-edge business solutions, working end-to-end from senior stakeholders to delivery teams. Access the latest training and certifications, including AWS, Azure, and GCP, alongside our extensive internal learning and mentoring programmes. Work in an environment that lives its values every day – Values - Values | PA ConsultingContribute ...

least 5 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 5 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 ...

Data Analytics, Artificial Intelligence or a related field, or equivalent experience, would be effective, although practical experience is equally valuable."Nice to Have"Azure, Databricks, Apache Spark or comparable cloud and data platforms. Data pipelines, ETL and workflow-orchestration technologies. Machine-learning methods such as forecasting, prediction ...

AVEVA is creating software trusted by over 90% of leading industrial companies. Job Title: Senior Full-stack Engineer, Core AI ServicesLocation: Cambridge, United Kingdom (Hybrid) Employment Type: full-time The jobWe are looking for passionate ...

data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats like Parquet. MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g. ...

MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices ...

tool or technique in days, not months. You will have an advantage if you also have: Security best practice (OWASP top ten)Azure SQL ServerDevOps, Pipelines, TeamCity, GitHubWindows servicesExperience using AI tooling specifically in the architect role - for design review, ADR drafting, threat modelling, contract design, or similar. ...

Experience managing external suppliers from contracts to technical execution. • Experience interacting with external clients in various pre/post-sales situation. • Experience with Azure, Cloud and SaaS technologies. • Appreciation of current and emerging technologies along with their potential benefits and limitations. • Prior hands-on technical experience of desktop ...

such as SMB/NFS plus modern object/API-based approaches such as S3 or REST.Practical experience with cloud infrastructure in AWS, Azure and/or GCP and with hybrid on-premises/cloud environments. Experience integrating multiple vendor technologies into an end-to-end solution. Strong ...

scale data workflows using orchestration platforms such as Airflow, while driving technical execution across complex initiatives. Use expertise in cloud computing (AWS and Azure) to build and optimize AI infrastructure Champion ML governance, ensuring adherence to guidelines, monitoring SLAs, and enhancing AI solutions’ performance and reliability Translate complex ...

Experience managing external suppliers from contracts to technical execution. • Experience interacting with external clients in various pre/post-sales situation. • Experience with Azure, Cloud and SaaS technologies. • Appreciation of current and emerging technologies along with their potential benefits and limitations. • Prior hands-on technical experience of desktop ...

fidelity wireframes and user interaction flows (e.g., Figma, Balsamiq). Agile project tooling: High proficiency in configuring and maintaining Jira and Confluence (or Azure DevOps) for requirements traceability, sprint dashboards, and team documentation repositories. Data analysis & modeling: Strong proficiency in validating data integrity, and conducting exploratory analysis; firm ...

cloud-native platforms. Enterprise integration, identity and access management, data architecture and customer data platforms. Cloud platforms and technology modernisation approaches across AWS, Azure or equivalent providers. Artificial intelligence and automation technologies, including emerging AI-enabled engagement, workflow and personalisation capabilities. Technology governance, architecture review processes, risk management ...

cloud provider. AWS, GCP or AzureFamiliar with Docker and CI/CD pipelinesExperience with managed ML platforms such as SageMaker, Vertex AI or Azure MLData engineering and MLOpsExperience with data warehouses such as Snowflake, BigQuery or RedshiftWorkflow orchestration using tools like Airflow or DagsterExperience with MLOps tools such ...

around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...