1 to 25 of 260 Permanent AWS Jobs in Central London

AWS Data Solution Architect Location: UK Wide (Hybrid Working - our clients has base offices UK-Wide) Salary: Up to £110,000 Base Salary + Bonus + Comprehensive Benefits Package Security Clearance: Must be eligible for SC Clearance Shape the Future of Data, Analytics & AI We're partnering with a leading … global technology consultancy to recruit an experienced AWS Data Solution Architect . This is a fantastic opportunity to play a key role in designing and delivering modern, enterprise-scale data platforms that enable advanced analytics, AI, GenAI, and data-driven decision making across some of the UK's most complex ...

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/ ...

clearance throughout employment. Proven experience in DevOps, Platform Engineering, Cloud Engineering, or Site Reliability Engineering roles. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Experience with Infrastructure as Code tools such as Terraform, CloudFormation, ARM Templates, or Bicep. Strong knowledge ...

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 ...

Java development experience Spring BootMicroservices architecture REST API development Experience with Angular or modern frontend frameworks Containerisation experience (Docker, Kubernetes) Cloud platform exposure (Azure, AWS, or GCP) Preferred Experience workflow/BPM platforms such as Camunda (preferred), Pega, Appian, jBPM Exposure to CI/CD pipelines and DevOps tooling Experience ...

Technical Profile 7+ years’ experience in software engineering or cloud architecture , with recent focus on solution design and delivery leadership . Deep experience with AWS, GCP, or Azure , including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale. Proficiency ...

APIs from OpenAI, Cohere, or working with open-source models like Llama). Cloud Proficiency: Practical experience with at least one major cloud provider ( AWS, GCP, Azure ), including their AI & ML services (e.g., SageMaker, Vertex AI, Azure ML). Technical leadership Experience: Of small or large teams of engineers ...

technical proposals and responding to tenders (RFPs/tenders). Experience in independently conducting product demonstrations and technical workshops. Solid knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g. SageMaker, Vertex AI, Azure ML), including sovereign, on-premise and hybrid deployment models. Proficiency in MLOps tools ...

environments. Knowledge of DevOps, CI/CD and cloud infrastructure best practices. Technology Environment Languages Python JavaScript/TypeScript (desirable) Frameworks Django Flask Cloud AWS GCP (desirable) Azure (desirable) Engineering Practices Agile CI/CD Cloud-Native Development Software Architecture Technical Leadership Ideal Backgrounds We are particularly interested in candidates ...

Experience configuring and maintaining cloud infrastructure including network infrastructure, compute, access control policies, load balancers, Public Key Infrastructure (PKI), and DNS. Ideally, experience with AWS and Terraform or similar IaC tools. At a personal level we’re also looking for someone who is: Passionate about delivering software to realise safe ...

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 ...

including Java and Oracle web applications. Experience testing Windows 11 and associated applications within an Evergreen environment. Knowledge of cloud and infrastructure environments (Azure, AWS or on-premises). Experience testing APIs, services and system integrations. Hands-on experience with tools such as Postman, Jenkins, JMeter or similar. Experience with ...

Camel. Designing and working with ESB/EAI and API gateway and management tools Cloud services and platform such as Azure and/or AWS, GCP. Knowledge of DevOps practices – Kubernetes, Docker, etc. Experience with servers such as Tomcat, JBoss and/or Websphere. Best practices on log management ...

Agile/DevOps environments Proficiency with Git-based source control (GitHub/GitLab) Experience working with Big Data technologies Strong hands-on experience with AWS or other public cloud platforms Desirable Skills Experience designing and operating high-throughput, real-time data platforms Familiarity with microservices architectures Exposure to infrastructure ...

architecture, including RESTful services, API gateways, and integration layers Practical application of TOGAF (or similar enterprise architecture frameworks) Hands on experience with cloud platforms (AWS, Azure, GCP) and cloud native design patterns Strong knowledge of: Microservices vs monolithic architectures Cloud native, hybrid, and on premise solutions Digital transformation and modernisation ...

Python deve lopment.Experience leading cross-functional engineerin g teams.Strong understanding of modern software architecture and engineering pri nciples.Experience delivering cloud-native applications within AWS envir onments.Proven experience managing stakeholders and technical d elivery.Excellent communication and interpersonal skills.Strong problem-solving and decision-making ab ilities. Desirable E xperienceExperience with data platforms ...

Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures ...

/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 ...

frameworks. Skills & Experience: System Design & Architecture Designing scalable, resilient, and distributed systems Knowledge of monolith vs microservices, event-driven architecture Cloud & Infrastructure Expertise in AWS, Azure, or GCP Infrastructure as Code (Terraform, ARM, CloudFormation) Programming & Development Strong coding background (e.g., Java, C#, Python, Node.js) Understanding of software development lifecycle (SDLC ...

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 ...

high-performance distributed systems. Strong SQL experience (PostgreSQL, MySQL or similar). Experience working with NoSQL databases such as MongoDB. Hands-on experience with AWS cloud services. Experience deploying containerised applications using Docker. Familiarity with container orchestration platforms such as ECS or Kubernetes. Strong understanding of API security, authentication … technologies. Ability to work effectively within cross-functional engineering teams. Desirable Experience Experience with MLOps and production AI/ML systems. Familiarity with Kafka, AWS SQS or other messaging platforms. Experience with Infrastructure as Code tools such as Terraform or CloudFormation. Knowledge of observability platforms including Datadog and CloudWatch. Experience ...

Excellent understanding of APIs, distributed systems, and PostgreSQL Experience building scalable microservice or event-driven architectures Strong experience with Docker, Kubernetes, and cloud infrastructure (AWS/GCP/Azure) Experience mentoring engineers and leading technical projects Comfortable working in fast-paced startup environments Experience with AI/LLM integrations ...

will have: Demonstrable experience of building data pipelines using Spark or Pandas Experience working with one or more of the main cloud providers (AWS, Azure or Google) Experience of big data platforms (EMR, Databricks or DataProc) Experience building data platforms such as Data Lakes, Data Warehouses or Data Meshes Understanding ...

Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures ...

scale numerical workloads and improve platform performance. Build robust, well-tested Python applications used within production trading environments. Design scalable cloud-based solutions using AWS services. Develop and maintain CI/CD pipelines and software engineering best practices. Collaborate closely with quantitative, trading, market data and technology teams. Challenge requirements ...