2 of 2 Permanent AWS Step Functions Jobs in the City of Westminster

models. You own everything that gets those models in front of a customer and keeps them running: the training and deployment infrastructure on AWS and SageMaker, reproducible and configuration-driven training runs, environments defined in code, release pipelines that make a deployment routine rather than an event … deep hands-on PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training and processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible ...

Design, develop, and maintain scalable RESTful APIs and microservices using Python frameworks such as FastAPI or Flask. Build and support cloud-native solutions leveraging AWS services including Lambda, ECS Fargate, API Gateway, DynamoDB, S3, Secrets Manager, and CloudWatch. Work closely with the Lead React Engineer, Technical Architects, and Engineering … experience with Python using FastAPI, Flask, or similar backend frameworks. Extensive experience developing RESTful APIs, microservices, and backend services. Strong hands‐on experience with AWS cloud services, including ECS Fargate, Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EventBridge, Step Functions, IAM, Secrets Manager, and CloudWatch. Strong experience ...