from the data scientist(s) within the team. Docker: Creating and managing images to allow the Python packages described above to be run in AWS via ElasticContainerService (ECS) CI/CD: GitLab CI Configuring pipelines to facilitate the deployment of the previously mentioned Python packages to various environments. Stages include unit tests, package building and security scanning More ❯
from the data scientist(s) within the team. Docker: Creating and managing images to allow the Python packages described above to be run in AWS via ElasticContainerService (ECS) CI/CD: GitLab CI Configuring pipelines to facilitate the deployment of the previously mentioned Python packages to various environments. Stages include unit tests, package building and security scanning More ❯
Strategies for Cloud IT Security Must Have - Good Competence Level: Code Repository Management: Proficient in version control and code management practices AWS Services: core AWS services and architecture, ECR, ECS, AWS networking, AWS Secrets Manager, AWS CDK, and K8s CI/CD Pipelines: Hands-on experience integrating security into deployment pipelines Python Programming: Proficient in Python for automation and More ❯
London, West End, United Kingdom Hybrid / WFH Options
Computappoint
Strategies for Cloud IT Security Must Have - Good Competence Level: Code Repository Management: Proficient in version control and code management practices AWS Services: core AWS services and architecture, ECR, ECS, AWS networking, AWS Secrets Manager, AWS CDK, and K8s CI/CD Pipelines: Hands-on experience integrating security into deployment pipelines Python Programming: Proficient in Python for automation and More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Computappoint
Strategies for Cloud IT Security Must Have - Good Competence Level: Code Repository Management: Proficient in version control and code management practices AWS Services: core AWS services and architecture, ECR, ECS, AWS networking, AWS Secrets Manager, AWS CDK, and K8s CI/CD Pipelines: Hands-on experience integrating security into deployment pipelines Python Programming: Proficient in Python for automation and More ❯
Software Dev Engineer (2 years Contract) The role is 2 years fixed term contract. GTTS builds products that help Amazon run the world's largest transportation network, using cutting-edge technologies and machine learning, all running on AWS. We are looking for someone who is passionate about technology, loves solving customer problems, and delivers the high quality work … impact on the transportation network. We always work backwards from the customer. As a SDE, you provide technical leadership at Amazon. You help establish technical standards and drive Amazon's overall technical architecture, engineering practices, and methodologies. You think globally when building systems, ensuring Amazon builds high performing, scalable systems that work well together. You are … on-call week, you will provide front-line support if any critical issues arise with the team's products. Key job responsibilities working with AWS technologies such as Lambda, ECS Fargate, API Gateway, RDS, DynamoDB, EMR building customer-facing applications and APIs building data pipelines using Spark + Scala that process Tb of data per day working with customers More ❯
rather someone who is prepared to grow with us. We have in-team knowledge sharings and allocated focus time for engineering excellence. Experience developing with AWS offerings - DynamoDB, SQS, ECS, Lambda, etc. Experience in building and operating distributed, event driven systems. Familiarity with GitHub and CI/CD workflows Understanding of Authentication & Authorization Workflows Familiarity with the Twilio platform More ❯
Tech Stack & What They’re Looking For: Strong hands-on experience with React and TypeScript but other stacks will be considered Deep familiarity with AWS (Lambda, DynamoDB, SQS, SNS, ECS) Proven ability to take product requirements and deliver production-ready systems Background in event-driven architecture and RESTful API design Location: London (Hybrid flexibility available) If you’re passionate More ❯
agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop More ❯
agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop More ❯
agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop More ❯
agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop More ❯
agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop More ❯
agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop More ❯
City of London, London, Finsbury Square, United Kingdom
The Portfolio Group
agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop More ❯
strategic role in data platform evolution Has experience (or strong interest) in building real-time or event-driven architectures ️ Modern Data Stack Includes: Python , SQL Snowflake , Postgres AWS (S3, ECS, Terraform) Airflow , dbt , Docker Apache Spark , Iceberg What they're looking for: Solid experience as a Senior/Lead/Principal Data Engineer, ideally with some line management or More ❯
strategic role in data platform evolution Has experience (or strong interest) in building real-time or event-driven architectures ️ Modern Data Stack Includes: Python , SQL Snowflake , Postgres AWS (S3, ECS, Terraform) Airflow , dbt , Docker Apache Spark , Iceberg What they're looking for: Solid experience as a Senior/Lead/Principal Data Engineer, ideally with some line management or More ❯
the ability to translate technical findings into business insights Nice-to-Have Qualifications: Experience with streaming technologies such as Kafka or similar. Familiarity with containerization and orchestration (Docker and ECS) for data workflows. Exposure to BI tools such as Tableau or Power BI for data visualization. Understanding of machine learning pipelines and how they integrate with data engineering processes. More ❯
About us: We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated More ❯
Sr Network Design Prod Mgr, Network Design Programs Our team is responsible for Amazon's connectivity to deliver billions of shipments each year. We design and develop models to shape our network design. We optimize the way we model supply chain to scale decision making through automated processes. We are looking for a versatile Product Manager to work … data solutions that provide actionable insights to the business. You will participate in the design and development of services using a wide range of AWS technologies (e.g. EMR, Lambda, ECS, Quicksight, Neptune). You will stay abreast of emerging technologies, their constraints and strengths and understand how to couple and when to use them. Key job responsibilities Understand the … multiple stakeholders PREFERRED QUALIFICATIONS Experience in influencing senior leadership through data driven insights Experience working across functional teams and senior stakeholders Experience with product cycles of 6+ months Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We More ❯
and knowledge sharing, including handover notes, rollout summaries, and demo materials WHAT YOU'LL BRING " ESSENTIAL " AWS Certified Cloud Practitioner Foundational experience with AWS services such as VPCs, EC2, ECS, S3, Site-to-Site VPN, Transit Gateway, ACM, CloudWatch, CloudFront, and MediaConnect Strong written and verbal communication skills, with an ability to document workflows, processes, and support materials clearly More ❯
