1 to 25 of 237 Permanent AWS Jobs in Central London

Strong experience working with distributed systems, managing complex data flows, integrations, and service-to-service communication. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP acceptable), including compute, serverless, messaging, storage, and identity/access management. Familiarity with containerisation (Docker, Kubernetes) and modern deployment patterns, including microservices ...

Modelling ETL Development Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within: Microsoft Azure Google Cloud Platform (GCP) Additional experience with: Docker Kubernetes Git CI/ ...

Data Engineer in enterprise or government environments. Proficiency in SQL and Python for data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses ...

frameworks (e.g., Apache Camel, Spring Integration), and pipeline/adapter design patterns (retry, dead‐letter queues, error isolation). Cloud & Infrastructure: Cloud platforms (GCP, AWS), container orchestration (Kubernetes, Docker), and JVM tuning for containerized workloads. Observability & Operations: Application instrumentation (metrics, distributed tracing, structured logging) and production support in high‐availability ...

PyTest, unit, integration, and automated testing) Experience with Git and modern CI/CD pipelines Excellent problem-solving and communication skills Desirable Experience with AWS, Azure, or Google Cloud Docker and Kubernetes experience Knowledge of event-driven architectures and message queues Exposure to data engineering, machine learning, or AI platforms ...

will work closely with data analysts, software engineers, architects, and business stakeholders to deliver robust, high-performance data solutions in a cloud-native AWS environment. The ideal candidate has strong expertise in PySpark, Python, Apache Airflow, AWS services, Terraform, and modern DevOps practices. Good to have SC eligibility … recovery mechanisms. Monitor workflow execution and proactively address failures or performance concerns. Implement workflow best practices to ensure reliability and maintainability. Cloud Data Architecture (AWS) Architect and implement cloud-native data solutions on AWS. Develop scalable and secure data platforms leveraging: Amazon S3 Amazon Redshift AWS Glue AWS Lambda Amazon ...

expertise At least 2 years of experience working with SQL databases Strong experience in API development and automation Familiarity with cloud platforms such as AWS, Azure, or GCP Experience working in Agile environments Hands-on experience with CI/CD pipelines and version control systems Experience with Python ...

concepts, sufficient to: review and challenge modelling approaches, ensure models are production‐ready and correctly evaluated. Hands‐on experience with a major cloud platform (AWS, GCP, or Azure), including containerised deployments. Expert knowledge of MLOps and CI/CD, including: Git‐based workflows, Infrastructure as Code (e.g. Terraform), automated testing ...

ensure smooth and consistent releases Monitor systems using dashboards and alerts Support incident response and help troubleshoot issues Requirements: Basic understanding of cloud platforms (AWS, Azure, or GCP) Familiarity with Linux systems and networking basics Familiarity with Docker Exposure to Infrastructure as Code concepts Basic scripting (e.g. Bash, Python) Familiarity ...

Excellent analytical thinking and problem-solving skills , with a pragmatic and delivery-focused mindset. Desirable Skills Experience working with major cloud platforms such as AWS, Azure, or GCP. Familiarity with containerisation and orchestration technologies (e.g. Docker, Kubernetes). Exposure to MLOps practices or deploying AI/ML models into production ...

complex environments. You'll be joining as we have begun actively modernizing our infrastructure from traditional deployments to automation and cloud-native systems with AWS, Terraform, GitHub Actions, Databricks, Snowflake and Grafana. Key Responsibilities: Design and implement AWS cloud infrastructure, writing clean and maintainable Infrastructure as Code for repeatable, auditable … deployments across environments. Drive reliability, scalability, security, observability and cost efficiency of AWS infrastructure. Provide mentorship to other DevOps engineers, sharing expertise and raising engineering quality across the team. Develop and maintain robust and effective CI/CD pipelines. Troubleshoot and resolve complex infrastructure issues, ensuring minimal impact on business ...

architectures Proficiency with CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and workflow automation. Proficiency in infrastructure-as-code solutions like Terraform, Pulumi or AWS CDK Understanding of network protocols and secure data exchange between services. Excellent skills in diagnosing and resolving technical challenges across integrated systems. Experience with observability ...

React and experience supporting production-grade user-facing applications Experience working with databases such as PostgreSQL or MongoDB in scalable environments Hands-on AWS experience Familiarity with containerisation and infrastructure as code tools such as Docker and Terraform Experience designing and maintaining CI/CD pipelines and owning services ...

Airflow, dbt, Prefect) and governance (Collibra, Purview) Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) Cloud, Infrastructure & MLOps Champion multi-cloud engineering across Azure, AWS, and GCP Lead MLOps strategy (MLflow, Kubeflow, SageMaker, Vertex AI) and CI/CD pipelines Ensure scalable deployments using Kubernetes, Docker, and Infrastructure-as-Code ...

internal platforms across cloud and hybrid environments. Key Skills & Experience: • Strong experience in Platform Engineering, DevOps, SRE, or Cloud Engineering • Hands-on experience with AWS, Azure, or GCP • Infrastructure as Code experience – Terraform, Ansible, CloudFormation, or Bicep • Kubernetes and containerisation experience (Docker/OCI) • CI/CD pipeline design ...

/Technical Lead/Application Developer/Research Software Engineer/Python/Docker/JavaScript/Rust/C++/Cloud Computing/AWS/Azure/Linux/Git/CI/CD/Software Architecture/Distributed Systems/Computer Science/Mathematics/Physics/Engineering ...

PyTorch, TensorFlow, or JAX. Solid understanding of modern machine learning techniques including deep learning, NLP, recommendation systems, or LLMs. Experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes). Experience with MLOps tooling and practices — model versioning, experiment tracking, CI/CD, A/B testing. Proactive ...

detail. - Effective communication and leadership skills. OTHER REQUIREMENTS (OPTIONAL) - Knowledge of financial services technology and trading systems. - Experience with cloud platforms such as AWS or Azure. - Familiarity with containerization tools like Docker and Kubernetes. ...

preferably in a startup or scale-up environment) Strong experience with modern programming languages such as Python, TypeScript, or JavaScript Familiarity with cloud platforms (AWS, Azure, or GCP) and cloud-native architecture principles Experience working with APIs, data pipelines, and distributed systems Understanding of AI/ML concepts and experience ...

systems Strong Python engineering skills and experience building API-based services Experience with modern data architectures and system design Experience working in cloud environments (AWS, Azure, GCP, or Databricks) Familiarity with CI/CD pipelines and modern engineering practices Experience with vector databases (e.g. Pinecone, Chroma) Experience with agent frameworks ...

building systems with performance and scalability in mind Familiarity with Gen AI frameworks such as LangGraph, Crew AI or the OpenAI ecosystems Exposure to AWS, GCP, or Azure DevOps and Infrastructure tooling - CI/CD pipelines, Kubernetes Experience building and maintaining distributed systems SQL & NoSQL databases What's on Offer ...

Lead Engineer/Tech Lead capacity Solid understanding of microservices architecture and distributed systems Experience with Spring/Spring Boot Cloud experience (AWS, GCP, or Azure) Strong knowledge of REST APIs , messaging, and integration patterns Experience working in agile, consultancy, or client-facing environments Desirable Skills Event-driven architectures (Kafka ...

working with SQL/NoSQL databases , including data modeling and validation Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP) Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration Exposure to multi-agent patterns (e.g., supervisor-worker, planner-executor, judge ...

. My client will provide training in: .NET 10.0, ASP.NET Core, C# 14, Blazor, JavaScript, React, Microservices, Azure, ASP.NET Core Web API, MongoDB, Azure, AWS, Node.js and Elasticsearch. This is a truly exciting project, one which if you are given the opportunity to work on will do wonders for your ...

mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering ...