12 of 12 Amazon ECS Jobs in Central London

implementing and maintaining CI/CD pipelines and Infrastructure as Code (Terraform or AWS CDK). Comfortable containerising applications with Docker and deploying via ECS/Fargate or EKS. Committed to testing excellence across unit, integration, and contract testing. An excellent communicator who thrives in cross-functional collaboration with ...

Experience administering and maintaining systems monitoring/alerting technologies (CloudWatch, Splunk, Nagios, Rapid7, Grafana etc.). Proven experience with containerisation - Docker/Kubernetes/ECS/ECR, etc., Database administration - MySQL, QuestDB, Elasticsearch. Experience with multiple cloud providers AWS and GCP - Azure a bonus. Demonstrate strong verbal and written ...

with vector databases (e.g. Pinecone, Weaviate, pgvector) Feature store technologies such as Feast or AWS Feature Store Containerisation and orchestration using Docker, Kubernetes or ECS Infrastructure as Code using Terraform or CloudFormation Large-scale data processing frameworks such as Spark or Dask Knowledge of data governance, compliance and regulated ...

Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications. Experience with feature stores (Feast, AWS Feature Store). Containerisation (Docker) and orchestration (Kubernetes, ECS). Infrastructure as Code (Terraform, CloudFormation). Large-scale data processing frameworks (Spark, Dask). Familiarity with data governance and compliance frameworks. Experience ...

troubleshooting skills in complex, distributed environments. Proficiency with scripting languages and configuration management tools (Ansible, Terraform). Experience with container technologies such as Docker, ECS, and Kubernetes. Knowledge of Windows and Linux system administration. Familiarity with performance tuning and cost management in the cloud. Agile development experience and strong ...

frameworks (scikit-learn, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda) Familiarity with containerisation (Docker) and orchestration (Kubernetes/ECS) Knowledge of LLMOps and GenAI tools (LangChain, LangSmith) Understanding of feature engineering and vector databases Strong grasp of CI/CD practices for ML deployment ...

communicate complex technical concepts to diverse audiences. Eligible for DV security clearance; sponsorship cannot be provided. Desirable: Knowledge of AWS services (e.g., Lambda, ECS, Bedrock, S3, SageMaker). Experience with ML engineering and MLOps (e.g., Docker, MLflow). Experience in regulated industries or government-related projects. Applying LLMs ...

running tests; familiar with CI pipelines (GitHub Actions, GitLab CI). Cloud & Containers: Exposure to AWS or another cloud platform and Docker. (Kubernetes or ECS a plus.) Growth Mindset: Curiosity to learn new technologies, seek feedback, and develop alongside experienced teammates. Bonus Skills Interest in event-driven or distributed ...

scientific work Awareness of ethical, privacy, security and policy considerations in applied AI Desirable Experience Hands-on experience with AWS services such as Lambda, ECS, S3, SageMaker or Bedrock Knowledge of ML engineering and MLOps practices (e.g. Docker, MLflow) Experience working in government, defence or other highly regulated environments ...

learn, PyTorch, transformers) Experience deploying models and working with cloud platforms (AWS preferred) Ability to communicate complex technical concepts clearly Desirable AWS services (SageMaker, ECS, Lambda, S3, Bedrock) MLOps/ML engineering experience (Docker, MLflow) Experience in government or regulated environments Practical experience applying LLMs Security Clearance UKIC ...

cloud-driven platform built on AWS, Kubernetes, designed for scale and reliability in a critical trading environment. Your focus will be AWS, EKS/ECS, Linux, and CI/CD. You will design and run container platforms, build and refine pipelines, and develop systems that support deployment, scaling ...

components used across the organisation. Partner with engineering teams to define, implement and evangelise GenAI standards. Build production-scale systems deployed in AWS using ECS, Fargate, EKS, and IaC. Support engineering teams in adopting GenAI best practices and integrating advanced capabilities. Additional Responsibilities (Principal Level) Lead and mentor ...