1,951 to 1,975 of 3,572 AWS Jobs in London

classified environments - Turn complex mission requirements into things that ship - Lead engineering teams through implementation - Shape long-term architectural strategy and capability **The environment** AWS, Azure, GCP · Databricks, Snowflake · lake, lakehouse and modern warehouse patterns · distributed processing · DevOps, IaC, secure deployment · governance, access control, analytics enablement **What we need** - Active ...

end. This is a unique opportunity to influence Avanade’s architecture direction, elevate engineering productivity, and lead high-impact initiatives across Azure, AWS, and GCP. What you’ll do Architect AI-powered applications using autonomous and semi-autonomous agentic frameworks. Apply AI agents across all delivery phases: analysis, design, build ...

Learning techniques and architectures, including Generative AI, Transformers and neural networks. Python and common Data Science libraries. TensorFlow, PyTorch or similar machine learning frameworks. AWS, Azure or Google Cloud AI and Data Science services. Ability to work effectively with technical and non-technical audiences If you receive suspicious outreach claiming ...

architecture Hands-on experience with: Discovery Service Mapping Event Management Operational Intelligence CMDB Experience integrating monitoring tools such as: Splunk Dynatrace AppDynamics Azure Monitor AWS CloudWatch Strong understanding of AIOps and observability frameworks Knowledge of hybrid cloud and enterprise infrastructure environments Experience with ServiceNow governance and upgrade strategies Excellent stakeholder ...

into practical, deliverable solutions Guiding engineering teams through implementation Influencing architectural strategy and long-term capability Technology environment You'll typically be working across: AWS, Azure and Google Cloud Databricks and Snowflake Lake, lakehouse and modern warehouse architectures Distributed data processing platforms DevOps, Infrastructure as Code and secure deployment patterns ...

years of professional experience in IT consulting with in-depth knowledge in the operational or architectural environment at one of the leading cloud providers (AWS/Azure/Google Cloud)You also maintain a good working knowledge of Kubernetes and have experience with other CNCF open source projectsYou have extensive ...

developing and maintaining data pipelines and data processing systems Understanding of the data lifecycle, including ingestion, transformation, storage, and consumption Knowledge of cloud platforms (AWS) and distributed data processing Experience with SDLC practices including CI/CD, testing, and deployment Strong problem-solving skills and ability to troubleshoot data ...

from day one. What we’re looking for Large‐scale distributed training. PyTorch and modern deep‐learning frameworks. Kubernetes, Slurm or GPU orchestration platforms. AWS and specialist GPU cloud providers. High‐performance computing and distributed systems. Training optimisation, memory management and networking. MLOps tooling, CI/CD and experimentation frameworks. ...

JavaScript and Node.js.Experience working on AI, machine learning, or generative AI platforms.Familiarity with stream-processing and event-driven architectures.Experience with cloud platforms such as AWS, Azure, or Google Cloud.Previous experience within a high-growth startup or scale-up environment.What You'll Gain:Opportunity to shape the data architecture ...

data engineering, cloud technologies and marketing technology.Key Responsibilities• Design, build and maintain cloud-based data solutions using Google Cloud Platform (with exposure to AWS and Azure).• Develop and manage ELT pipelines to ensure accurate, reliable and timely data delivery across multiple client projects.• Integrate data from advertising platforms, analytics ...

Nice-to-Have We’d also love experience with: Version control for data and artefacts: DeltaLake DVC MLFlow Designing and operating cloud-based systems AWS and/or Databricks Messaging platforms Infrastructure as Code tools such as: Terraform CloudFormation Pulumi Kubernetes and service mesh concepts Data orchestration tools ...

Experience working on AI, machine learning, or generative AI platforms. Familiarity with stream-processing and event-driven architectures. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Previous experience within a high-growth startup or scale-up environment. What You'll Gain: Opportunity to shape the data architecture ...

including Timeseries Forecasting algorithms. Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field. Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment. Background in forecasting, planning, or analytics applications. Familiarity with Anaplan or similar enterprise ...

with strong proficiency in both CUDA C/C++ and Python Direct experience scaling distributed training and/or inference pipelines on cloud infrastructure (AWS, Azure, or GCP) Deep knowledge of at least one major deep learning framework, ideally PyTorch, and hands‐on experience with recent architectures (e.g., MoE, state ...

while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform.Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured ...

environment. Excellent analytical and problem-solving skills. Desirable Experience: Experience designing an AI adoption strategy for a SOC. Familiarity with Microsoft Sentinel, Splunk, Azure, AWS, or GCP security technologies. Knowledge of detection engineering and automation metrics. What Success Looks Like: Deliver meaningful reductions in manual analyst effort through automation. Establish ...

raise the overall standard of solution thinking across teams. Technical and delivery context Successful candidates tend to bring experience across cloud platforms such as AWS, Azure, or GCP at scale, alongside API-led and microservices-based architectures. You are likely to have worked in complex integration environments involving legacy modernisation ...

Conducting forensic imaging, recovery, and analysis in line with industry best practice. Developing methodologies for cloud and hybrid ecosystems, including Microsoft 365, Google Workspace, AWS, Azure, and other SaaS or collaboration platforms. Integrating automation, analytics, and AI‐assisted techniques to enhance accuracy, speed, and defensibility. Mentoring and supporting junior team ...

Experience building reliable production systems with modern DevOps practices Experience deploying AI systems in enterprise environments is a plus Experience working across cloud platforms (AWS, GCP, or Azure) is a plus Experience with agent architectures and long‐horizon task execution is a plus Familiarity with responsible AI practices, including auditability ...

Engineering to identify useful delivery team metricsProvide clear monthly reporting on those delivery metrics to showcase delivery efficiencyManage our delivery metric tools e.g. AWS Quick suite, JIRA, PlandekRun monthly timesheet reporting in partnership with finance and delivery teamsTrack forecasted and actual capitalisation rates in partnership with FinanceProvide monthly roadmap updates ...

products. You have a solid understanding of modern cloud compute infrastructure as it relates to machine learning, and experience in working with AWS, GCP, Azure, or other vendors. Benefits Equity in the company: When we win, you win. You’ll get share options, so you’re part of our journey ...

latency techniques to improve page load time and reliability Experience with microservices, APIs, and related standards such as REST, HTTP, OAuth Comfortable with AWS Cloud technologies Experience using log analysis to investigate bugs and performance issues Experience writing unit and integration tests Experience working in an agile team The Ideal ...

state, with judgement to use UI configurations when code isn’t viable. Cloud & Infrastructure Literacy: Proven experience configuring or hardening security controls within cloud (AWS/GCP) environments such as IAM and network/identity boundaries, and handling data formats like JSON to parse logs. AI‐First Execution: Enthusiastic about ...

What you bring to the role: Hands-on experience designing, developing, and scaling production infrastructure. Extensive knowledge of Postgres and Postgres-like cloud offerings (AWS, GCP, Azure) Extensive and recent experience with building low-level data systems and/or managed data platforms. In-depth knowledge and practical experience ...

programming, test driven development) In depth understanding of modern software development lifecycle (CI/CD, IaC, Containerisation) Practical experience with cloud engineering (preference for AWS) Preferred Qualifications Prior experience in Commodities, Fixed Income, Equities, Asset Management is a plus Key Responsibilities Develop and maintain Python-based AI applications Build ...