14 of 14 Remote/Hybrid AWS Jobs in Edinburgh

operating and improving distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure or Google Cloud. Ability to build code-defined, reliable and well-tested infrastructure using tools such as Terraform, CloudFormation or similar. Knowledge of Linux ...

operating and improving distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure or Google Cloud. Ability to build code-defined, reliable and well-tested infrastructure using tools such as Terraform, CloudFormation or similar. Knowledge of Linux ...

quality standards Using Test Driven Development (TDD) and Pair Programming to produce high quality, maintainable code Working in Agile delivery models Desirable Experience: AWS Lambda, S3, Cloud Formation, Aurora/Postgres, API Gateway, CDK Python 2.7/3.x Typescript ...

ability to explain technical concepts clearly and build effective relationships with a range of stakeholders. Experience of working with cloud platforms such as AWS, Azure or Google Cloud, applying modern DevOps and SRE practices. Experience designing and delivering infrastructure-as-code solutions using tools such as Terraform, CloudFormation or similar. ...

building AI agent frameworks or autonomous orchestration platforms Knowledge of vector databases, semantic search, and advanced RAG architectures Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads Familiarity with financial services, banking, or regulated enterprise environments Exposure to AI governance, model monitoring, and responsible AI practices ...

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 ...

patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes ...

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 ...

deliver end-to-end solutions. Tech environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes and GPU infrastructure. What we're looking for Proven enterprise AI or ML architecture design, strong cloud and modern data platform ...

Node.js frontend web application development Database technologies e.g. PostgreSQL Messaging technologies e.g. ActiveMQ or Kafka Continuous Integration and Continuous Deployment Cloud platforms, e.g. AWS, and Kubernetes platforms e.g. OpenShift Demonstrable use of AI tools to support day to day software engineering e.g. coding, testing, and automating development tasks ...

expert on engagements and mentoring peers. You will build platform engineering, set engineering standards, and contribute to cost-conscious, scalable cloud solutions using GitOps, AWS Bedrock, and modern tooling. #J-18808-Ljbffr ...

focused infrastructure platforms supporting model development, training, evaluation, and inference. Engineer scalable, reliable, and secure cloud native services to support AI workloads across AWS, Azure, and hybrid environments. Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems. Enable production deployment … pragmatically within BlackRock's enterprise context. Qualifications Required Strong experience in cloud infrastructure, platform engineering, or systems engineering roles. 4+ hands‐on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage ...

oversee vulnerability scanning and remediation. Technical Implementation: Be the "boots on the ground" for security. Implement and manage security controls across our cloud environments (AWS) and internal IT systems. Identity & Access Management: Own the lifecycle of user access, from onboarding and MFA enforcement to regular access reviews. Vendor & Risk Management … security tools (MDM, EDR, SSO). Experience in the Financial Services sector, understanding the specific regulatory hurdles. Professional certifications such as CISSP, CISM, or AWS/GCP Security Specialist. Scripting proficiency (Python or Bash) to automate security checks and reporting. Working at Malted We’re based in Edinburgh and work ...

keeping deployments fast, safe and boring, with hybrid work from London, Bristol or Edinburgh offices. You will run and improve OpenShift and Kubernetes on AWS, own CI/CD across GitHub Actions, Jenkins and ArgoCD, and ensure security and dependencies are managed with Snyk, Renovate, and other tooling. Experience with ...