26 to 29 of 29 AWS Lambda Jobs in Central London

queries in PostgreSQL Build clean, well-documented RESTful APIs and service integrations Contribute to containerised environments using Docker and maintain cloud-native services on AWS Participate in architecture discussions, CI/CD pipelines, and quality assurance processes Mentor peers, share knowledge, and promote best practices in backend development Skills … with PostgreSQL and libraries such as sqlx and gorm Solid understanding of Docker and containerised development Experience building RESTful APIs and integrating services Desirable: AWS services (Lambda, EventBridge, SQS), microservices architecture, CI/CD tooling, event-driven systems ...

transformation. Extensive experience working with SQL and analytical databases, ideally including Amazon Redshift or similar time-series platforms. Experience building production data pipelines in AWS cloud environments. Familiarity with Docker containers and CI/CD pipelines. Experience with Infrastructure as Code and deployment tooling such as CloudFormation or CDK. … Highly desirable experience: Exposure to commodities, energy trading, or financial markets. Experience supporting real-time or near-real-time analytics environments. Knowledge of additional AWS services such as S3, Lambda, Athena, Kinesis, EMR, Fargate, or API Gateway. Experience with big data technologies including Spark, Databricks, Hadoop, or Dask. ...

detection) Supporting experimentation cycles: hypothesis definition, testing, and evaluation Contributing to the deployment of models into production environments Building and maintaining ML pipelines using AWS services Assisting in the development of GenAI/LLM-based applications (e.g. prompt engineering, RAG pipelines) Implementing best practices in experiment tracking, model versioning … machine learning or data science Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost Exposure to AWS services (e.g. S3, Lambda, SageMaker) Understanding of core ML concepts: model evaluation, validation, and experimentation Familiarity with MLOps or experiment tracking tools (e.g. MLflow ...

deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with cloud-based ML deployment (e.g., AWS SageMaker, Lambda, S3) Knowledge of MLOps/LLMOps tooling (e.g., MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt ...