1 to 25 of 84 AWS Jobs in Scotland

markets and investment banking Desirable Knowledge of Spring Boot, REST APIs or Microservices Experience with Git and version control tools Exposure to cloud platforms (AWS, Azure or GCP) Understanding of Linux/Unix environments Familiarity with data engineering tools and concepts Personal projects, internships or open-source contributions What ...

Debugging Skills and adhering to coding standards. Understanding of testing framework JUnit, Mockito. Willingness to support post deployment process. Experience working with any cloud AWS, Azure, GCP. Desirable Skills (Good to Have) Experience with Test-Driven Development (TDD) and unit testing frameworks. Familiarity with containerization tools such as Docker ...

programming languages e.g. Java, C#, JavaScript/TypeScript or Python Experience with API testing tools (Postman, RestAssured, Karate) Experience with cloud environments (Azure/AWS/GCP) Experience of containerisation (Kubernetes/Docker) ISTQB certification - Desirable ...

initiatives across multiple sectors (banking, insurance, telecom, public sector, manufacturing, retail). Technical Expertise Extensive experience with Microsoft Fabric core features. Proficiency in Azure (AWS and GCP are an advantage) and infrastructure‐as‐code tools (e.g., Terraform). Strong background in databases, data warehouses, and distributed processing frameworks. Familiarity with ...

deliver better user experiences MongoDB (we still have legacy systems running on it) CI/CD and DevOps - Docker, build pipelines, automated testing AWS (or similar cloud platforms - GCP, Azure) Kubernetes ElasticSearch Real-time/WebSocket programming Key Responsibilities Contributing code and technical expertise across the full product suite Owning ...

capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure ...

component-based architecture & system design Experience with CI/CD tools (Jenkins, Maven), Git, and Agile/Scrum delivery Hands-on experience with AWS or cloud-based environments Experience with databases such as Oracle or MongoDB Knowledge of TDD and automated testing frameworks (e.g. JUnit, Jest) Experience leading teams ...

Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This ...

software (COTS) and infrastructure design, including data centre environments Experience defining technical standards, roadmaps and blueprints across services Cloud expertise across major providers (Azure, AWS, GCP, Oracle), including IaC, governance and cost optimisation Desirable experience: Designing solutions for sensitive or secure environments Applying zero trust principles Embedding security into ...

driven environments. ________________________________________ Good to Have Splunk Observability (APM, Infrastructure Monitoring) exposure CI/CD integration for Splunk content (Git, Jenkins, DevOps pipelines) Cloud platforms (AWS/Azure/GCP) log and metric ingestion Splunk certifications (Power User, Admin, ITSI) Experience with automation and scripting (Python, Shell). ________________________________________ Soft Skills Strong ...

mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering ...

mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering ...

high-quality data products. Skills and Experience Strong programming skills in Java, Python or Scala. Experience with cloud data services (GCP preferred; Azure/AWS acceptable). Experience with distributed data processing frameworks such as Spark (Core/SQL/Streaming), Flink, or Storm. Understanding of designing scalable data models ...

threats and techniques for exploiting security vulnerabilities.* Experience with CI/CD pipeline, security tools integration, and secure SDLC.* Experience with cloud-based infrastructure (AWS, Azure, or Google Cloud), and on best practices on how to secure cloud environments.* Familiarity with security considerations for AI/ML systems is desirable. ...

concurrency Understanding of modern architectures, design patterns, and platform nuances Knowledge of API/service release processes in production Experience with cloud infrastructure (preferably AWS) Familiarity with Infrastructure as Code (Terraform or similar) Understanding of containers (Docker) and orchestration (Kubernetes) Expert experience with testing concepts and integrating best practices ...

Supporting AI deployment, governance and operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements Strong software or data engineering foundations Experience delivering AI or AI-enabled solutions Exposure ...

Technology Environment Python LLMs, RAG, prompt engineering, fine-tuning Agentic AI and orchestration frameworks LangChain, LangGraph Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containers, Kubernetes and cloud-native platforms We're interested in people who have Experience designing and delivering enterprise AI, ML or data ...

projects Working closely with senior stakeholders and client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data ...

techniques into our work, supporting teams and clients in applying them effectively. In order to be successful in the role, candidates ideally need AWS DevOps engineering at scale, with deep knowledge of automation, distributed systems, and container orchestration Infrastructure as Code (e.g., Terraform, CloudFormation) and cloud-native CI/ ...

strategic goals. Qualifications Bachelor’s or Master’s in Computer Science, Engineering, or a related field. Training or certification in cloud platforms (any of AWS, Azure, or GCP). Documented expertise in agile or DevOps methodologies. Proven success architecting enterprise data solutions. Demonstrated commitment to building inclusive and high‐performing ...

both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project Additional Courses AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 -Entry Level Development placement (£25K - £40k) We work with you to secure your first role in software ...

automated testing frameworks such as Playwright, Cypress, Selenium and Rest-Assured AI/ML: Experience testing AI models, Chatbots, or Machine Learning outputs. Cloud: AWS familiarity. Willingness to work in different programming languages and frameworks Great communication and team working skills What we’ll offer you We trust people ...

Senior Software Engineer to develop next-generation AI systems for financial services. This role focuses on building scalable Python services within cloud-native AWS environments and requires strong expertise in production settings. Candidates should have experience with AI and agentic systems, as well as excellent communication skills. Aveni offers ...

both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 - Entry Level Development placement (£25K - £40k) We work with you to secure your first role ...

warehouses such as BigQuery Good Python capability, including orchestration tools such as Airflow Proven experience building and managing data ingestion pipelines Cloud experience within AWS or GCP environments Exposure to infrastructure as code tools such as Terraform Confidence leading people and projects, with clear communication and stakeholder management skills Comfortable ...