226 to 250 of 1,063 AWS Jobs in London

experience at scale Deep expertise in distributed systems architecture Strong Kubernetes experience with production workloads Hands-on experience with workflow orchestration tools (Temporal, Airflow, or similar) Cloud platform expertise (AWS required, Azure beneficial) Experience with data processing frameworks (Spark, Athena, or similar) Proven track record of leading architectural transformations in growing companies Excellence in technical communication and stakeholder management What More ❯

/CD, infrastructure-as-code, and modern data tooling Introduce and advocate for scalable, efficient data processes and platform enhancements Tech Environment: Python, SQL, Spark, Airflow, dbt, Snowflake, Postgres AWS (S3), Docker, Terraform Exposure to Apache Iceberg, streaming tools (Kafka, Kinesis), and ML pipelines is a bonus What We're Looking For: 5+ years in Data Engineering, including 2+ years More ❯

inclusive design. Desirable Skills: Familiarity with tools like Postman , Charles/Proxyman , Bitrise , or GitLab CI . Awareness or exposure to iOS development (Swift), GraphQL, microservices, or cloud platforms (AWS, GCP, Azure). Understanding of modern front-end technologies like React/Redux or experience in backend services (Java/Kotlin). Passion for UX and a customer-centric approach More ❯

learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies eg. AWS, GCP or Azure. Specialised visualisation techniques eg. D3.js, ggplot etc. Strong verbal/written communication & data presentation skills Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous More ❯

etc.) is also preferred. • A working knowledge of network protocols, Linux, and information security concepts is required. Experience integrating systems across on-premises and cloud-based environments (e.g., Azure, AWS, and GCP) and working with containers on Windows and Linux is preferred. • Outstanding communication skills are imperative, as the role will entail significant interaction with different departments in the firm. More ❯

communication and stakeholder management skills, with the ability to drive alignment across multiple teams. Experience working in an Agile environment and familiarity with DevOps practices. Knowledge of cloud platforms (AWS, Azure) and security considerations. Experience working with third-party partners to deliver projects, particularly in a Financial Services environment. Pragmatic, organized, problem solver who is results-oriented, and client-focused. More ❯

for a major pharmaceutical company on a long term contract, outside IR35. The key skills required for this Senior Fullstack Developer are: Python React Typescript AI (desirable) Java (desirable) AWS SQL Kubernetes (desirable) If you do have the relevant experience for this remote, outside IR35 Senior Fullstack Developer role, please do send through your CV. More ❯

London, as there will be 1-2 days in the London office each week. Unfortunately, there is no visa sponsorship or visa transfer support available. We are not seeking AWS or GCP skills. Purely Azure. What's in it for you? A good base salary (Yes, there is a big range, but it depends on the level of your expertise More ❯

tools. Cross-Functional Collaboration: Ability to work closely with development, operations, and security teams. Threat Modeling & Risk Assessment: Strong knowledge of security risk management. Cloud & Container Security: Expertise in AWS, Azure, GCP, Docker, and Kubernetes. Security Governance: Experience developing and enforcing security standards. Incident Response Leadership: Skilled in leading incident response and root cause analysis. Training & Mentorship: Ability to upskill More ❯

tools. Cross-Functional Collaboration: Ability to work closely with development, operations, and security teams. Threat Modeling & Risk Assessment: Strong knowledge of security risk management. Cloud & Container Security: Expertise in AWS, Azure, GCP, Docker, and Kubernetes. Security Governance: Experience developing and enforcing security standards. Incident Response Leadership: Skilled in leading incident response and root cause analysis. Training & Mentorship: Ability to upskill More ❯

deliver innovative solutions. Excellent communication and collaboration abilities. Strong knowledge of Kubernetes and container orchestration. Understanding of various DevOps tools Nice to have • Familiarity with cloud-based auto-scaling (AWS, Azure, or GCP).• Knowledge of CI/CD pipelines and infrastructure-as-code tools. More ❯

understanding of SDLC, Agile, DevOps, and CI/CD pipelines. Hands-on experience with tools such as Jira, Jenkins, Git, ServiceNow, or Azure DevOps. Knowledge of infrastructure, cloud platforms (AWS, Azure, GCP), and application deployment. Strong problem-solving skills and ability to manage multiple releases simultaneously. Excellent organizational, communication, and stakeholder management skills. More ❯

understanding of SDLC, Agile, DevOps, and CI/CD pipelines. Hands-on experience with tools such as Jira, Jenkins, Git, ServiceNow, or Azure DevOps. Knowledge of infrastructure, cloud platforms (AWS, Azure, GCP), and application deployment. Strong problem-solving skills and ability to manage multiple releases simultaneously. Excellent organizational, communication, and stakeholder management skills. More ❯

stakeholder management and business analysis. Expertise in cost and impact estimation for solution development. Familiarity with formal architecture frameworks (e.g., TMF, TOGAF). Experience with cloud platforms and technologies (AWS, Azure, GCP). Working knowledge of security design principles and best practices. Excellent communication, leadership, and problem-solving skills. Preferred Qualifications TOGAF or equivalent certification. Experience in Telecom/IT More ❯

technical pre-sales or sales engineering roles Hands-on with Docker, Kubernetes, CI/CD, Git, build tools Solid AppSec experience: SCA, SAST, SBOM, Container Security Cloud infrastructure fluency (AWS, Azure or GCP - must especially tick this box) Proven track record building enterprise relationships - from tech champions to C-level Ability to build full DevOps pipelines with various tools Software More ❯

with a focus on 3D applications Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.) Expertise in 3D reconstruction and rendering Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker) Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment Please register your interest for this role by More ❯

with a focus on 3D applications Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.) Expertise in 3D reconstruction and rendering Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker) Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment Please register your interest for this role by More ❯

and deployment. The role is 4/5 days a week in London for the first few months. What theyre looking for Strong experience in cloud infrastructure engineering (GCP, AWS, or Azure is fine) Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience with training models. Experience setting up CI/CD More ❯

Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have More ❯

Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have More ❯

Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have More ❯

Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have More ❯

training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, youll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is full-time, 5 days a week in their London office. More ❯

workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, you’ll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is full-time, 5 days a week in their London office. More ❯

workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, you’ll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is full-time, 5 days a week in their London office. More ❯