4,351 to 4,375 of 9,018 Permanent Digital & IT Jobs

Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets … commercial realities, and meeting strict SLAs, timescales, and budgets. Preferred Knowledge‐level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What ...

Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets … commercial realities, and meeting strict SLAs, timescales, and budgets. Preferred Knowledge‐level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What ...

Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets … commercial realities, and meeting strict SLAs, timescales, and budgets. Preferred Knowledge‐level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What ...

designer and QA teams. The team is to deliver the product roadmap alongside driving further adoption of cloud first technologies; we are Azure based, with PostgreSQL and MongoDB as our primary data stores and a multi-provider LLM stack (OpenAI, Google Gemini and Anthropic). We want … engineering environment includes technologies such as Python (FastAPI), LangChain/LangGraph for multi-agent LLM orchestration, React/TypeScript, PostgreSQL, MongoDB, Redis, Azure (App Service, Container Registry, Blob Storage), Docker, GitHub Actions, and modern CI/CD pipelines. About You: You will have a strong engineering background ...

Are you curious about how networks, cloud platforms and IT systems keep modern businesses connected and running? We're looking for an ambitious IT Engineering Apprentice to join our growing team and start building a ...

solutions within Financial Services Hands-on Python and modern AI framework expertise Experience with Generative AI, LLMs, RAG and AI agents Knowledge of Azure, AWS or GCP Experience taking AI solutions from concept into production Understanding of security, risk, compliance and responsible AI Strong technical and stakeholder communication ...

leading AI development frameworks.Implement and enhance AI solutions through prompt engineering, embeddings, orchestration frameworks, and security controls.Develop solutions on cloud platforms including Azure, AWS, and Google Cloud Platform, utilizing modern AI and data services.Collaborate with architects, data scientists, software engineers, and business stakeholders throughout the project lifecycle.Provide technical … similar technologies.Deep understanding of LLM architectures, Generative AI, Agentic AI concepts, RAG frameworks, embeddings, and prompt engineering.Experience designing and deploying solutions on Azure, AWS, or GCP cloud platforms.Experience working in a technical client-facing role, preferably delivering AI or data-driven transformation programmes.Strong understanding of AI solution architecture ...

5+ years of experience working in Platform Engineering, SRE, DevOps or infrastructure-focused software development You have a strong experience with Cloud environments (Azure preferred) and understand the fundamentals of cloud networking, identity, compute & storage You have deep, hands-on experience operating Kubernetes in production – including deployments, troubleshooting … Kubernetes configuration approaches – operators, GitOps controllers, or similar Strong understanding of Kubernetes internals, cluster lifecycle & multi-cluster patterns Experience operating & supporting platforms across Azure and on-prem environments, including practical experience with Windows Servers & Linux systems Solid understanding of distributed system concepts, including service networking, messaging patterns & event ...

development frameworks. Implement and enhance AI solutions through prompt engineering, embeddings, orchestration frameworks, and security controls. Develop solutions on cloud platforms including Azure, AWS, and Google Cloud Platform, utilizing modern AI and data services. Collaborate with architects, data scientists, software engineers, and business stakeholders throughout the project lifecycle. … technologies. Deep understanding of LLM architectures, Generative AI, Agentic AI concepts, RAG frameworks, embeddings, and prompt engineering. Experience designing and deploying solutions on Azure, AWS, or GCP cloud platforms. Experience working in a technical client-facing role, preferably delivering AI or data-driven transformation programmes. Strong understanding ...

data engineer (ideally consulting/financial services) – salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS/GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding of DAG (Directed Acyclic Graphs) and their … entrepreneurial spirit and drive to work in an early-stage start-up that directly rewards impact Tech stack: Platform: We build everything in Azure (but sometimes need to work in other cloud providers like AWS depending on client’s needs). Backend – We develop all our code ...

room of engineers and just as easily simplify complex concepts for senior decision‐makers Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts A "hacker mindset" with a strong engineering foundation: you are a creative problem‐solver who builds robust, scalable, and efficient … tooling; experience with REST APIs and SDKs is strongly preferred Hands‐on experience with at least one major cloud platform (GCP, AWS, or Azure), including data storage, compute, and deployment patterns common in ML workflows Solid understanding of machine learning concepts and the ML development lifecycle — from data ...

deliver open source code Architect cloud infrastructure solutions like OpenStack, Kubernetes, Ceph, Hadoop and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud) Coach and develop your colleagues where you have insights Grow a healthy, collaborative engineering culture in line with the company values Work … Computer Science or related software engineering expertise You have sound knowledge of cloud computing concepts & technologies, such as Kubernetes, OpenStack, AWS, GCP, Azure, Ceph, etc. You have practical knowledge of Linux and networking You have Intermediate to Advanced level of Python programming skills You are a dynamic person ...

Enhance the reliability and scalability of distributed systems running across a hybrid estate. Configure and secure infrastructure across major cloud providers (GCP, AWS, Azure). Contribute to platform observability, monitoring, performance tuning and optimisation. Work with SUSE’s technology stack including Leap Micro , Uyuni , and SaltStack . Collaborate … tools (Terraform, Ansible, Helm, etc.). Experience managing and securing infrastructure on at least one major public cloud – ideally across GCP, AWS and Azure . Confident working with distributed systems and scalable architectures. Good grasp of Linux systems engineering and networking fundamentals. Desirable Skills: Exposure to KubeVirt highly ...

analytics tools. Developing and enhancing data collection procedures to include information that is relevant for building analytic systems, utilising tools such as WhereScape, Azure Synapse, Snowflake, AWS Redshift. Monitoring performance and advising any necessary infrastructure changes, utilising BI tools such as Qlik Sense Cloud, Power BI, or Tableau … well as the AI, ML, and NL tools available in Fabric. This includes leveraging Azure Machine Learning for predictive analytics. Preparing ad-hoc analysis and presenting results in a clear manner Work with stakeholders and business analysts to identify the business requirements and the expected outcome ...

experience with ETL tools and frameworks. Experience with data warehousing concepts and dimensional modeling. Strong experience in cloud platforms such as AWS/Azure/GCP. Experience with big data technologies (Spark, Hadoop, Kafka). Knowledge of API integrations and microservices-based data ingestion. Experience working in Agile ...

implementation and handover. Support the identification and shaping of future AI opportunities once the first use cases have demonstrated value. Desirable skills: Azure AI Foundry and Azure Machine Learning. MLOps practices and tools such as MLflow. Containerisation and orchestration using Docker and Kubernetes. Experience developing copilots ...

team through coaching and code reviews. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Communicate pricing proposals and insights clearly and persuasively to stakeholders at all levels. Collaborate with Modelling, Optimisation, and Street Pricing teams … market standard pricing techniques to non-standard products. Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Technical expertise in predictive modelling techniques e.g. GLMs. Experience with WTW Radar software and optimisation tools. A quantitative degree ...

have a global reach, impacting millions of customers. Some of the tech we are using at scale: Javascript, Typescript, Node.JS, GraphQL, REST, Kafka, Azure Cloud, Redis, Varnish Cache, Apollo Federation, Docker, Kubernetes etc. About the team Tesco’s xAPI (Experience API) powers Tesco’s online shopping, enabling customers … using Node.js to create high traffic applications using Express.js, Sails, Koa or similar. Knowledge of microservices development and deployment in the cloud i.e. Azure/AWS/GCP cloud. Knowledge of virtualization, containerization and container orchestration technologies like Docker, Kubernetes etc. Experience with usage of GraphQL, building GraphQL ...

practicalities of quality, flow, and organisation of information. Bring experience in coding in Python and SQL Have solid experience of Snowflake and Azure DataBricks Have a good understanding of AI usage of data Have exposure to at least one cloud platform (AWS, Azure ...

service management, observability, developer tooling, automation and platform engineering. Relevant experience could include: ServiceNow/ITSM/ITOM/CMDB Observability and monitoring Azure DevOps GitHub CI/CD Terraform/Bicep Infrastructure as Code Developer platforms Platform Engineering Automation frameworks Candidates should have worked within large enterprise ...

computing, etc. Key Skills/Experience: Experience in operating as part of data engineering teams and independently. Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either ...

Cucumber BDD Be able to demonstrate previous experience in test automation frameworks and tools such as Postman, SoapUI, Selenium and Karate. Cloud platforms (Azure) would be preferred Experience of using Test Data Tools Exposure to containerisation such as Docker or Kubernetes Performance and security testing experience Desirable Knowledge ...

documented code Key Requirements Strong commercial experience with Python and SQL. Solid experience working on data science or AI projects. Experience with AWS, Azure or GCP Experience with ML and modern LLM/RAG systems. Strong communication skills and ability to collaborate with international teams Experience delivering data ...

Proven experience in DevOps, SRE, or Platform Engineering roles Strong hands‐on experience running Kubernetes in production Experience with AWS and/or Azure cloud platforms Solid experience with Terraform and IaC automation Experience participating in or managing production incidents and on‐call Strong grasp of monitoring, alerting … communicating in English is important for this role. Day-to-day responsibilities: Design, build and maintain secure, scalable cloud infrastructure across AWS and Azure Manage and enhance our Kubernetes (EKS) platform to support reliable, modern applications Develop and maintain Infrastructure as Code using Terraform and Helm Improve ...

Proven experience in DevOps, SRE, or Platform Engineering roles Strong hands‐on experience running Kubernetes in production Experience with AWS and/or Azure cloud platforms Solid experience with Terraform and IaC automation Experience participating in or managing production incidents and on‐call Strong grasp of monitoring, alerting … communicating in English is important for this role. Day-to-day responsibilities: Design, build and maintain secure, scalable cloud infrastructure across AWS and Azure Manage and enhance our Kubernetes (EKS) platform to support reliable, modern applications Develop and maintain Infrastructure as Code using Terraform and Helm Improve ...