776 to 800 of 2,636 Amazon AWS Jobs

practical solutions Requirements: Strong understanding of the end-to-end machine learning lifecycle Strong Python programming skills Experience working with cloud infrastructure such as AWS Hands-on experience with Docker and Kubernetes for scalable deployments Solid grounding in machine learning concepts, statistics, and probability Ability to communicate effectively with both ...

profiles) • Working model: Hybrid, 3 days per week in London office • Tech stack: Python/JavaScript, GenAI (RAG, LangChain, LlamaIndex), agentic frameworks, Azure/AWS • Visa: No sponsorship available Interested? Please apply below. ...

Experience with big data tooling and best practices. • The ability to design systems for scale, reliability and cost‐efficiency. Nice to have skills include AWS, Kubernetes, GCP BigQuery, GPU or Ray experience, and exposure to AdTech or privacy‐first data environments. How to Apply If this sounds like the right ...

Clear communicator, great team player, high ownership Bonus if you’ve worked with: Python (data processing/automation) Data pipelines or high-volume ingestion AWS or infrastructure-as-code exposure Why This Role Is Interesting Early high-impact hire - funded, structured, and growing intentionally Strong technical leadership to learn from ...

design for mobile application with event driven architecture Strong analysis and problem-solving skills Knowledge of the financial services industry Other technologies/areas: AWS, API Design, Automation testing ...

operating in Agile delivery models Demonstrated backlog ownership and prioritisation capability Strong stakeholder management skills Experience balancing operational stability with modernization Preferred Experience Azure, AWS or GCP exposure FinOps principles DR and resilience architecture Platform engineering transformation programs From many places, we work as one, moving from better to best ...

others and raising engineering standards. The Role You will design, build, and optimise scalable data pipelines and models across Snowflake, Databricks, and cloud environments (AWS/GCP). Working closely with Data Science, Product, and Analytics teams, youll ensure reliable, high-performance data flows that power AI and analytics products. ...

with RESTful APIs and tools such as Postman . Strong understanding of mobile performance optimization and debugging techniques. Experience with cloud services such as AWS or Firebase . Familiarity with performance and crash monitoring tools such as Sentry or Crashlytics. Excellent problem‐solving skills with a strong focus on debugging ...

experience required Audio and video processing - Understanding of audio and video processing principles Virtualisation & Cloud Computing – proficiency with virtualisation and cloud computing eg AWS, Azure, Google Cloud platforms. Multiplexing - Proficiency in encoding and multiplexing technologies Diagnostic tools - Proficiency in diagnostic engineering tools and software Analytical and technical problem-solving skills ...

working with messaging/streaming platforms (e.g. Kafka, RabbitMQ) and designing relational databases (e.g., MySQL, PostgreSQL) You're proficient with cloud-based systems (preferably AWS) You're collaborative and pragmatic with great communication skills Apply now to find out more about this Backend Software Engineer/Developer (Python Data ...

using MuleSoft Anypoint Platform (Mule 4.x preferred). Strong experience integrating with databases (e.g. Oracle, SQL/NoSQL), enterprise systems, and cloud platforms (e.g. AWS, Azure). Deep understanding and hands-on experience implementing security protocols such as OAuth 2.0, JWT, and SSL/TLS. Proven experience leading unit testing ...

developing scrum teams Preferable skills: Working knowledge of Angular Working knowledge of Java Experience deploying web applications on large cloud-based service providers (e.g. AWS/Azure) and familiar with the underlying architecture Understanding of NoSQL database technologies (e.g. MongoDB) What you'll get in return Basic salary ...

driven solutions. Experience managing AI model development and deployment at scale. Understanding of actuarial principles and insurance analytics. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of regulatory frameworks including GDPR, FCA, and AI governance standards. Relevant certifications in AI, machine learning, or data science. ...

working with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis), Proficiency with version control systems, particularly Git. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with Agile development methodologies. Fluency in English (spoken and written). Additional Information The Devoteam Group works for equal ...

working with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis), Proficiency with version control systems, particularly Git. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with Agile development methodologies. Fluency in English (spoken and written). Additional Information The Devoteam Group works for equal ...

Utility Domain (Electric/Gas/Water/Fiber). Exposure to Esri Utility Network and UPDM data models. Experience with cloud platforms (Azure, AWS). Understanding of GIS automation frameworks (ModelBuilder). Familiarity with version control tools (Git) and DevOps practices. Soft Skills Strong attention to detail and quality. ...

Data platform transformation (data lakes, warehouses, pipelines) AI/ML use cases and intelligent automation SaaS implementations and system integrations Cloud-native architectures (Azure, AWS, GCP) This is a hands-on leadership role , ideal for someone who thrives in complex environments and can confidently operate at the intersection of technology ...

reliability. Act as a subject matter expert (SME) for internal stakeholders outside the IT organization. Knowledge, Skills & Abilities Strong experience with Microsoft Azure (AWS or similar cloud platforms a plus). Solid understanding of Windows Server environments and enterprise infrastructure. Strong knowledge of networking fundamentals, including DNS, routing, firewalls ...

Code principles to deliver repeatable, version-controlled infrastructure. Hands-on experience with virtualization technologies (e.g. VMware, Hyper-V, VDI) and cloud (e.g. Azure, AWS). Strong understanding of enterprise security and compliance requirements in modern Windows environments. The ability to continuously assess and improve existing systems, designing scalable, secure solutions ...

delivery methods and software development lifecycle best practice Experience building technical strategies and providing architectural oversight Strong understanding of modern cloud-based environments, particularly AWS and serverless technologies Ability to lead across a broad technical stack including APIs, databases, front-end applications and infrastructure Strong communication skills with the ability ...

Proficiency in Python and ML/data analysis libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers, statsmodels) Experience with cloud-based ML deployment (e.g., AWS services) Ability to absorb complex scientific concepts and apply them to real-world problems Strong communication skills, capable of explaining technical concepts to both technical ...

Extensive experience as an Enterprise Data Architect in a complex, regulated environment. Deep knowledge of data modelling, ETL, data warehousing, and cloud platforms (Azure, AWS, or GCP). Strong understanding of data governance, MDM, and regulatory compliance. Familiarity with aviation systems (e.g., AODB, FIDS, CRM, ERP) is desirable. Excellent communication ...

platform development or data-intensive systems Strong SQL and Python for scalable data transformations and services Experience with at least one major cloud platform (AWS, Azure or GCP) Hands-on experience with semantic or ontology-driven data models, including: Graph databases (e.g. Neptune, Neo4j, Blazegraph, Stardog, TigerGraph, Foundry, Timbr ...

written). Legally authorized to work in the EU. Our Technology Stack: Programming Language: Scala Databases: Elasticsearch, Postgres, Redis, CRDB Infrastructure: Pulsar, Kafka, AWS Other Relevant Technologies: Docker/Kubernetes, React Bonus Points Experience with End-to-End, Integration, and Performance testing Previously built enterprise systems at scale Worked ...

operational dynamics, Have exposure to quantitative trading, including arbitrage, strategy development, backtesting, and risk management for physical or derivative assets, Have practical experience with AWS services and cloud‐native infrastructure, Are familiar with modern MLOps tools and frameworks and can partner effectively with Data and ML engineers to deploy scalable ...