551 to 575 of 2,944 AWS Jobs in the UK

middleware technologies. Experience integrating ERP, CRM, HR, and SaaS platforms (e.g., Salesforce, SAP, Oracle, Workday, NetSuite). Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of security standards including OAuth2, SAML, JWT, and encryption practices. Required Professional Skills Strong stakeholder management and communication skills. Ability ...

SOAP APIs, XML. Oracle and SQL Server databases, with strong SQL troubleshooting and data validation. CI/CD and DevOps exposure: Jenkins, Git, SVN, AWS (EC2, CloudWatch), JIRA. Agile/Scrum delivery, sprint planning and backlog refinement. Strong incident, escalation and vendor management in live retail operations. Essential skills ...

delivery environments from an SME perspective, rather than a more traditional approach. Curriculum areas you'll need to update and redesign include: ☁️ Cloud Engineering (AWS/Azure/GCP) ⚙️ DevOps, CI/CD & Infrastructure Automation 💻 Software Engineering workflows & tooling 🤖 AI-assisted software development 🧪 Sandbox labs, simulations & live engineering environments ...

cloud environments, CI/CD or IaC security Engineers who can build, improve and implement, not just advise Tech exposure Kubernetes, Terraform, Azure/AWS/GCP, CI/CD, DevSecOps, container security, infrastructure-as-code, cloud architecture, scripting. This is why you should consider applying: Massive cyber investment programme ...

skills Ability to balance technical excellence with business priorities Collaborative mindset with experience mentoring teams and driving engineering standards Desirable Azure and/or AWS certifications Experience delivering enterprise cloud transformation programmes Exposure to modern analytics and AI-ready data platforms Package £95,000–£100,000 base salary Hybrid working ...

reuse across platforms What They’re Looking For Proven experience as a Solution/Enterprise Architect within complex environments Strong knowledge of cloud technologies (AWS, Azure or similar) Experience with API-led, microservices, and integration architectures Background in insurance platforms (Guidewire highly desirable) Experience across the insurance lifecycle (policy, claims ...

cross-functionally, maintain documentation, and promote DevOps best practices. Required Experience & Skills: 5+ years in DevOps, SRE, or Infrastructure Engineering (hybrid environments). Strong AWS expertise across compute, networking, storage, and security services. Infrastructure as Code (CloudFormation required; Terraform/Pulumi desirable). Docker and ECS and/or Kubernetes. ...

middleware technologies. Experience integrating ERP, CRM, HR, and SaaS platforms (e.g., Salesforce, SAP, Oracle, Workday, NetSuite). Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of security standards including OAuth2, SAML, JWT, and encryption practices. Professional Skills Strong stakeholder management and communication skills. Ability to present ...

such as PyTorch, TensorFlow, or Scikit-Learn Solid understanding of MLOps and scalable deployment practices Experience with at least one major cloud platform (Azure, AWS, or GCP) Comfortable in client-facing environments, able to communicate complex ideas clearly Consulting experience is not essential, but confidence working with stakeholders, presenting ideas ...

Partner with product and operations stakeholders to define technical roadmaps and onboard new data sources. Enhance system performance, fault-tolerance, and scalability , leveraging modern AWS-based distributed infrastructure. Offer technical mentorship, conduct reviews, and help engineers overcome blockers. Participate in a light-touch support rotation to ensure smooth daily operation ...

clinical analytics, or medical data science. Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Familiarity with cloud platforms including AWS, Azure, or Google Cloud. Experience with generative AI, large language models (LLMs), and retrieval-augmented generation (RAG). Technical Skills Python SQL Machine Learning MLOps Cloud ...

handling of sensitive information Technical Environment Strong preference for experience with: Python FastAPI TypeScript React/Next.js PostgreSQL ClickHouse Docker LangGraph Qdrant Cloud environments (AWS/Azure/GCP) What matters most We are NOT looking for: architecture-only profiles governance-only profiles pure management profiles isolated frontend/backend ...

TensorFlow, LangChain, or similar. * Experience working with LLMs, prompt engineering, vector databases, and retrieval augmented generation (RAG) architectures. * Strong knowledge of cloud platforms including AWS or Azure. * Experience with data engineering and orchestration tools such as Databricks, Airflow, Docker, and Kubernetes is desirable. * Must have previous experience working within ...

Proven experience designing large-scale digital transformation solutions. Deep knowledge of AI/ML , data platforms, analytics, automation and cloud architectures. Strong experience with AWS/Azure , APIs, microservices, integration and event-driven systems. Proven track record leading solution design for major bids . Ability to communicate with CXO-level ...

analyse security data. Infrastructure & Orchestration: Proven experience Designing Task Orchestration Frameworks (Celery), Containerization (Kubernetes) & Deploying via CI/CD Pipelines in Cloud environments (AWS/GCP/Azure). Big Data & Search: Solid experience building large-scale Data Ingestion Pipelines and integrating robust Search/Analytics Platforms like Elasticsearch ...

traditional enterprise architectures (such as TIBCO RV) to assist in analyzing and modernizing legacy financial workflows. Familiarity with managing cloud-based event brokers (AWS SQS/SNS, Google Pub/Sub, or Azure Event Hubs). Apply : If you would be interested please share your updated cv on yogeshwari.sen @randstaddigital ...

version control, and system design. Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX). Hands‐on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes). Solid understanding of ML fundamentals (model training, evaluation, common architectures). Desired Skills (Bonus Points) Experience with ...

happy to use C# .Net going forward and pick up new things along the way You have experience with public cloud technologies - Azure, AWS, GCP You have a good knowledge of modern software engineering best practices and have experience across the full software development lifecycle You have a thorough understanding ...

grasp of fundamental concepts from probability, statistics, linear algebra and calculus Collaborative, humble and enthusiastic attitude Preferred qualifications, capabilities and skills: Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc. Experience in deep neural networks and familiarity with the latest developments in related fields Experience in LLM model ...

with machine learning frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Exposure to Generative AI tools/frameworks (e.g. LLMs, LangChain) Experience with cloud platforms (Azure, AWS, or GCP) Familiarity with data platforms, data warehouses, or big data technologies Soft Skills Strong analytical and problem-solving ability Attention to detail and commitment ...

monitoring, observability and overall platform resilience. Tech-wise? It's an Azure-first setup, but they're open to people who've worked across AWS or GCP too. What matters most is that you've got solid, hands-on experience with Kubernetes, that's a real priority for the hiring ...

learning algorithms and model architectures. In depth knowledge in machine learning best practices, scalable training and deployment. Experience operating in cloud environments (e.g., Azure, AWS, or GCP). Strong product mindset‐focus on user needs, adoption, and measurable value. Strong communication skills‐able to translate complex technical concepts into language ...

architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of containerization and orchestration tools like Docker and Kubernetes is a plus. Experience designing end to end ML data pipelines. ...

across Apple's technology stack Experience building and operating enterprise‐grade ML pipelines (data preparation, distributed training, model optimisation, serving, and monitoring) in cloud (AWS, GCP, Azure) or on‐prem environments Preferred Qualifications Demonstrated ability to deliver end‐to‐end AI products - from problem framing and experimentation through to globally ...

experience and success in administration of cloud infrastructure and deployed applications for enterprise SaaS or PaaS companies in public clouds such as GCP (Preferred), AWS, Azure Strong programming experience in any of the platforms like python, node.js, or any other language Good experience in creating CI/CD process ...