Glasgow, Scotland, United Kingdom Hybrid / WFH Options
BBC Group and Public Services
maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline, CodeBuild … for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. Proven experience building, containerising More ❯
Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design … demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production environments. Proven track record More ❯
CD, Application Resiliency, and Security Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data De/Serialization: Parquet and JSON format AWS Data Security: Good Understanding of security concepts such as: IAM, Service roles, Encryption, KMS, Secrets Manager Demonstrated knowledge of software More ❯
Python skills and experience with AI/ML approaches and frameworks such as RAG, LangChain, TensorFlow, and PyTorch. Exposure to LLMs from model families such as Anthropic, Meta, Amazon, and OpenAI. Familiarity with tools and packages like Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks. Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. … NoSQL databases, data modelling, and database querying. Experience with code repositories such as GitHub. Other Technologies You Might Encounter Our services are deployed to AWS, typically using Bedrock, Lambda, ECS and Kubernetes with CloudFormation and CDK for infrastructure configuration Our web products are developed using TypeScript, React, and Redux We have a shared component library implementing our design system … days ago Edinburgh, Scotland, United Kingdom 3 weeks ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Edinburgh, Scotland, United Kingdom 3 months ago Applied Scientist, Amazon Ads - Creative X Edinburgh, Scotland, United Kingdom 3 days ago Edinburgh, Scotland, United Kingdom 3 hours ago Edinburgh, Scotland, United Kingdom 1 month ago Edinburgh, Scotland, United Kingdom More ❯
industry and their IT systems Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data De/Serialization: Parquet and JSON format AWS Data Security: Good Understanding of security concepts such as: IAM, Service roles, Encryption, KMS, Secrets Manager Demonstrated knowledge of software More ❯
tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc. Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.) Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.) Expertise in SRE principles, reliability, scalability and performance of application and infrastructure Expertise in programming with Python and Infrastructure as Code, tools such as Terraform Experience More ❯
Job Description Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability. As an AI ML Lead Site Reliability Engineer More ❯
hands-on for critical path items, especially around payment flows and on-chain logic. 4.DevOps & Security Architect and maintain secure, scalable infrastructure: Dockerized services, Kubernetes or AWS Fargate/ECS, managed PostgreSQL, Redis, and S3. Implement robust ESLint/Prettier (JS/TS) in CI, automated tests (Jest, Hardhat), and vulnerability scanning (Snyk or GitHub CodeQL). Ensure all … hands-on for critical path items, especially around payment flows and on-chain logic. 4.DevOps & Security Architect and maintain secure, scalable infrastructure: Dockerized services, Kubernetes or AWS Fargate/ECS, managed PostgreSQL, Redis, and S3. Implement robust ESLint/Prettier (JS/TS) in CI, automated tests (Jest, Hardhat), and vulnerability scanning (Snyk or GitHub CodeQL). Ensure all More ❯
hands-on for critical path items, especially around payment flows and on-chain logic. 4.DevOps & Security Architect and maintain secure, scalable infrastructure: Dockerized services, Kubernetes or AWS Fargate/ECS, managed PostgreSQL, Redis, and S3. Implement robust ESLint/Prettier (JS/TS) in CI, automated tests (Jest, Hardhat), and vulnerability scanning (Snyk or GitHub CodeQL). Ensure all … hands-on for critical path items, especially around payment flows and on-chain logic. 4.DevOps & Security Architect and maintain secure, scalable infrastructure: Dockerized services, Kubernetes or AWS Fargate/ECS, managed PostgreSQL, Redis, and S3. Implement robust ESLint/Prettier (JS/TS) in CI, automated tests (Jest, Hardhat), and vulnerability scanning (Snyk or GitHub CodeQL). Ensure all More ❯
Glasgow, Scotland, United Kingdom Hybrid / WFH Options
Cezanne HR
Server and PostgreSQL for our relational databases and Terraform for our infrastructure as code. Our platform is hosted on wide range of Amazon Web Services including EC2, ECS, Lambda, RDS, S3, DynamoDB and SQS. We also use Amazon Bedrock to build cutting edge generative AI applications, SwiftUI for our native iOS apps and Jetpack Compose More ❯
running Typescript on the compute layer and backed by MongoDB for the database layer. We have some C# services and are expanding out into other AWS products such as ECS Fargate . Our IAC is a mix of Serverless framework and Terraform . We use JIRA for project management, Github actions for our CI/CD pipelines and Incident.io … are comfortable debugging through tracing and observability. Willing to be on-call for your services. Nice to have Have experience with Node.js , specifically Typescript . Have experience with Amazon Web Services . Have experience with serverless products. Have experience with document databases, specifically MongoDB . Have experience mentoring/managing. Have experience in a build-and-run model. More ❯
storage in a highly available, distributed products. Cloud native delivery skills following open standards in – Containers As a Service/PaaS/IaaS, AWS CDK, Fargate, Secrets manager, Lambda, ECS, EKS, S3, MongoDB Atlassian, Serverless Functions and data insight solutions. Experience in designing systems for integration and re-use, using frameworks/standards, technologies and design patterns such as More ❯
Candidate: 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Knowledge of data engineering concepts (e.g., ETL, data pipelines). Please note we can only consider More ❯
Candidate: 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Knowledge of data engineering concepts (e.g., ETL, data pipelines). Please note we can only consider More ❯
Candidate: 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g. More ❯
Requirements : 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g. More ❯
Requirements : 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g. More ❯
Requirements : 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g. More ❯
state-of-the-art equipment, and cutting-edge technology to ensure a safe & healthy work environment Our Tech Stack Our primary tech stack includes .NET (C#) hosted in Amazon AWS and Microsoft Azure. We use MongoDB, MySQL, and SQL Server for our databases. Applications are built in ASP.NET and Angular for web apps, with Java, Swift, and Xamarin … Experience with relational databases like MySQL, SQL Server, or Postgres Experience with non-relational databases such as MongoDB, DocumentDB, or DynamoDB Experience with Docker and container hosting on AWS ECS or Kubernetes Basic knowledge of Amazon AWS services (EC2, S3, CloudFront, Elastic Beanstalk, DynamoDB) Basic networking troubleshooting skills Experience with tools like Atlassian Jira, GitHub, Azure DevOps More ❯
state-of-the-art equipment, and cutting-edge technology for a safe and healthy work environment Our Tech Stack Our primary tech stack includes .NET (C#) hosted in Amazon AWS and Microsoft Azure. We use MongoDB, MySQL, and SQL Server for our databases. Applications are built in ASP.NET and Angular for web apps, with Java, Swift, and Xamarin … end frameworks: Angular, React, Vue (TypeScript) Experience with relational databases: MySQL, SQL Server, Postgres Experience with non-relational databases: MongoDB, DocumentDB, DynamoDB Knowledge of Docker and container hosting: AWS ECS, Kubernetes Basic AWS knowledge: EC2, S3, CloudFront, Elastic Beanstalk, DynamoDB Basic networking troubleshooting skills Experience with tools like Jira, GitHub, Azure DevOps, Aha!, New Relic, Sumo Logic Seniority level More ❯
Dundee, Scotland, United Kingdom Hybrid / WFH Options
Scopely
languages like Groovy is advantageous. Experience with Infrastructure as Code tools such as Terraform, Terragrunt, or Packer. Experience with cloud platforms, preferably AWS, and container orchestration technologies (Docker, AWS ECS/EKS). Ability to troubleshoot environments across platforms and understand networking and security concepts. Knowledge of DevSecOps principles. Strong communication skills and ability to work effectively in a More ❯
. Join us as a Platform Engineer at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings within Foundations Engineering To be successful More ❯
decisions, in a pragmatic way You explore cloud and SaaS platforms and make use of the services it provides Some relevant technologies and services we use: Infrastructure: AWS (CDK, ECS, Lambda, SNS, SQS, ), Docker, CloudFormation Languages: Typescript, Node.js, C# Frontend: React, Next.js, CSS Modules, SASS, Styled Components A range of flexible working options to dedicate time to what matters More ❯
Dundee, Angus, Scotland, United Kingdom Hybrid / WFH Options
Bright Purple Resourcing
are looking for: 4+ years of experience in MLOpsor Software Engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerisation and orchestration tools (Docker, Kubernetes). Knowledge of data engineering concepts (e.g., ETL, data pipelines). Please note that this role is More ❯
the ability to align platform initiatives with business goals Experience with Spotify Backstage or other internal developer portals Background in flow engineering and breaking down monolithic architectures Experience with ECS and containerized applications (Kubernetes is not used in this environment) Intro call; 30-minute discussion to understand your experience and motivations Technical deep dive; problem-solving session focused on More ❯