1,026 to 1,050 of 3,959 AWS Jobs in London

Python and Java). Hands‐on experience building and deploying AI agents or multi‐agent systems. Working familiarity with enterprise IT architecture, cloud platforms (AWS, Azure, GCP), and system integration patterns. Consulting & Client Skills High agency; comfortable navigating ambiguity, working across complex organisations, and contributing without a well‐defined playbook. ...

teams to deliver cohesive solutions. Track record of mentoring engineers, leading technical discussions, and influencing outcomes at an organizational level. Experience with cloud platforms (AWS preferred), CI/CD pipelines, and modern DevOps practices. Passion for solving complex problems, continuously learning, and delivering customer‐focused innovations. Excellent communication skills with ...

latency, and reliability, ideally in fintech or transaction-heavy environmentsStrong grounding in system design, data structures, and performance trade-offsHands-on experience with AWS, Docker, and Kubernetes in production environmentsProven ability to implement observability, resilience patterns, and CI/CD best practicesExcellent communication skills with the ability to influence ...

related field**Required skills and experience*** 10+ years of hands-on technical experience in SRE, Platform Engineering, Infrastructure, or related roles* Strong experience with **AWS**, including services such as EKS, ECS, EC2, networking, IAM, and managed services* Deep hands-on experience with **Kubernetes** and containerised platforms* Strong background in **Linux ...

environments.Skilled in stakeholder engagement, workshop facilitation, and executive communication.Familiarity with tools such as JIRA, Confluence, and data visualisation platforms and cloud platforms including Azure, AWS and GCP).It would be great if you had:Knowledge of responsible AI frameworks and ethical considerations in AI deployment.Business domain specific knowledge in sectors ...

proficient in backend engineering, with hands on coding skills in either Golang, Rust or C++ (Low level equivalent) Strong knowledge of cloud security (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes) Experience with infrastructure as code tools (Terraform, CloudFormation, etc) Proficiency with CI/CD tools (GitHub Actions, Jenkins, GitLab ...

customer needs to deliver ML-based features that meet those needsAbility to organize and prioritize competing workloadsFamiliarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)Solid understanding of machine learning principlesExperience with container frameworks such as Docker or KubernetesConstructive Problem-Solving: As a natural problem-solver, you bring ...

right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: Cloud & Platforms: AWS, Azure, Google Cloud Platform, IBM, Oracle, Salesforce Architecture & Delivery: Microservices, packaged solutions, cloud/on-premise models, agile delivery, digital transformation Tools & Frameworks: IoT, cloud-native ...

development disciplines, including technical or infrastructure architecture, network management, application development, middleware, database management or cloud development. Demonstrated experience with a broad set of AWS technologies, across compute, data, networking and security, with emphasis on serverless and containerized workloads. Experience with Azure and other cloud service providers is a plus. ...

highly valued.Understanding of DevOps principles such as CI/CD, automated testing, and infrastructure as code.Exposure to managing solutions on major cloud platforms like AWS, Azure, or Google Cloud, including core services across compute, storage, networking, and security.Experience working in a consulting environment or in industry with a consulting background.Ability ...

time.Nice to havesYou do not need to have experience in all of these areas, but any of the following would be useful: AWS and infrastructure as code. We currently use AWS and Terraform. Building internal developer platforms, developer portals, CLIs or service templates. Observability using tools such as OpenTelemetry, CloudWatch ...

Role Overview Role – AI Evangelist (Senior Technology Architect) Technology – AI/ML/Gen AI, Data Science, Poly Cloud – Azure, AWS, GCP Location – London – UK Business Unit – TOPAZDLVRY Compensation – Competitive (including bonus) Job Summary We are seeking an accomplished Generative AI Consultant to drive the design and implementation of innovative … regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing: transformer models, attention mechanisms, word embeddings Computer vision: convolutional neural networks, recurrent neural networks, object detection Robotics: reinforcement learning, motion ...

external users.Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs)Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd...)Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure.Research publications ...

right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: Cloud & Platforms: AWS, Azure, Google Cloud Platform, IBM, Oracle, Salesforce Architecture & Delivery: Microservices, packaged solutions, cloud/on-premise models, agile delivery, digital transformation Tools & Frameworks: IoT, cloud-native ...

scaling resilient, low-latency services in production using Go, Python, Java, C++, or C#Hands-on experience with Docker, Kubernetes, and cloud platforms, preferably AWS or GCPStrong communicator and collaborator across functions and levels, with a bias for ownership and a customer-first mindsetProven ability to translate complex and ambiguous business ...

Behind every investment is a person with ambitions, motivations and values. While we know that every client is unique, they come to J.P. Morgan Personal Investing for the same reason: our straightforward and transparent approach ...

shore and off-shore development teams, ensuring alignment and timely delivery of high-quality AI and data solutionsFamiliarity with cloud data platforms providers (e.g., AWS, Azure, GCP, Snowflake, Databricks) and their data and AI services (e.g., S3, Azure Data Lake, BigQuery, Azure ML, Vertex AI)Connect to your business - Technology ...

/ELT processes and architecture in data pipelinesExperience building models for dashboard or cube consumptionFamiliarity with cloud-based data lake platforms such as AWS, Azure, or Google CloudBachelor’s degree in computer science, data science, information systems, business analytics, or related disciplinePreferred qualifications, capabilities, and skillsExperience with Databricks and notebook ...

scope reporting Streamlined workflows that save time and cut down on complexity Tech Stack Java SpringBoot Python Django REST API Microservice architecture Pulsar Auth0 AWS Responsibilities Break down customer problems into work the team can execute on. Independently complete tasks from start to finish with high quality. Communicate technical concepts ...

Servicing tribe.Here’s how you’ll be contributing:Software engineering: e.g. testing + CI/CD, monitoring/alerting + disaster recoveryMLOps: Terraform and AWS infra, ML governance for hundreds of modelsData Engineering: distributed processing at terabyte scaleScience: prove value of new methodologies/algorithms applied to cross-team domains ...

container/Kubernetes security. The other stuff we are looking for Security certifications such as OSCP, GWAPT, CSSLP, CEH or Security+. Experience securing AWS environments and infrastructure-as-code solutions such as Terraform. Knowledge of AI-enabled security workflows and securing AI or LLM-powered features. Experience contributing ...

sacrifice your work‐life balance in exchange for joining an incredible journey and learning a lot along the way. Requirements Technical stack : Azure (also AWS is a plus), Terraform, AKS (Kubernetes), Docker, GitHub Actions. Observability : Experience implementing logging, metrics, and tracing frameworks. Security : Familiarity with best practices, secrets management ...

related ML libraries.Strong background in applied machine learning, model development, and data engineering, with an appreciation of responsible AI principles.Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, and Redshift.Demonstrated ability to lead cross-functional teams and mentor junior practitioners.Ability to communicate complex technical concepts clearly ...

other orchestration tools)Extensive experience in Entity-Relationship modelling and Dimensional modellingExperience with Cloud Data Warehousing (eg Snowflake, Databricks or BigQuery) and Cloud (AWS, GCP or Azure)Familiarity with TableauExcellent communication and problem solving skills and the ability to translate business requirements into technical requirementsAble to architect custom AI solutions ...

e.g. Prometheus, OpenTelemetry, Grafana) Databases (e.g. Postgres, DuckDB) Event Streaming platforms (e.g. Kafka) Container Orchestration (e.g. Docker, Kubernetes) Familiarity with cloud platforms such as AWS, Azure or GCP Experience with CI/CD systems (e.g. Jenkins, CircleCI, GitLab, GitHub Actions) Desirable Experience supporting production systems in high‐consistency transactional environments ...