626 to 650 of 2,284 AWS Jobs in London

10+ years of hands‐on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic ...

role in architectural and design decisions, building toward efficient architecture. Writing design documents and estimates. Writing test units. Work with cloud service AWS for deployment, monitoring, and scaling of applications. Collaborate with cross-functional teams; work closely with product managers, designers, and other engineers to gather requirements and translate them ...

Looking For Essential 5+ years' experience in Data Engineering or a similar role. Strong experience with Python, SQL, Apache Spark, and Cloud platforms (AWS, Azure or GCP) Experience designing and operating production-scale data platforms. Desirable Experience working with AWS. Experience supporting machine learning or AI platforms. Knowledge of data ...

Looking For Essential 5+ years' experience in Data Engineering or a similar role. Strong experience with Python, SQL, Apache Spark, and Cloud platforms (AWS, Azure or GCP) Experience designing and operating production-scale data platforms. Desirable Experience working with AWS. Experience supporting machine learning or AI platforms. Knowledge of data ...

succeed within your team. What you’ll need: At least 6+ years of experience in software engineering, with strong proficiency in C#, .NET Core, AWS, Node.JS, Databases (SQL, NoSQL) Strong problem-solving skills and the ability to break down complex challenges into manageable, actionable tasks. Excellent communication skills, with ...

while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production — including architecture, implementation ...

Required) Experience deploying ML models into production environments Familiarity with MLOps tooling such as MLflow, CI/CD workflows, and model monitoring Experience with AWS, Azure, or GCP Understanding of real‐time systems, motion synthesis, or 3D graphics pipelines Experience with Unity or other game engines Interest in football ...

What we look for: Extensive experience in data engineering, data platforms & analytics, or software engineering Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with ...

Familiarity with Natural Language Processing: Understanding of NLP techniques and libraries like NLTK, SpaCy, etc. Knowledge of Cloud Platforms: Experience with cloud platforms like AWS, Google Cloud, or Azure. Understanding of Computer Vision: Familiarity with computer vision techniques and libraries like OpenCV. Experience with Big Data Tools: Experience with ...

time‐series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure components. Additional Preferred Qualifications Experience with enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic ...

systems design, MLOps, and cloud‐native architectures. Track record of leading ML/AI technical initiatives across multiple teams. Strong experience with cloud platforms (AWS, Azure, GCP). Experience with ML frameworks (PyTorch, TensorFlow, scikit‐learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG). Understanding of responsible ...

10+ years of hands‐on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic ...

running in production, ideally in or near a regulated or financial domain. Comfort with distributed/event‐driven systems, APIs, cloud (Azure ideal; AWS/GCP transferable), containers, and CI/CD. Excellent communication; credible and trustworthy in front of partner stakeholders. Nice to have — FCA‐regulated fintech, payments, BaaS ...

eligible to obtain, UK Security Check (SC) clearance to support our critical public sector partnerships. You bring a strong working knowledge of cloud ecosystems (AWS, Azure, or GCP), with any exposure to securing generative AI seen as a valuable asset. Our interview process: Talent Team Screen (30 minutes) Hiring Manager ...

Service Connect), multi region architectures. Preferrable Confluent Certified Administrator for Apache Kafka (CCAAK), CKA/CKAD, HashiCorp Terraform Associate, major cloud certs (Azure/AWS/GCP). Experience with Confluent for Kubernetes (CFK) for operator based deployments. ...

10+ years of hands‐on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic ...

infrastructure to handle increasing request volumes. Secrets Lifecycle & Governance Engine Configuration: Implement and manage various secret engines, including KV (Key‐Value), Dynamic Secrets (AWS, Azure, SQL databases), and PKI (Public Key Infrastructure) for automated certificate issuance. Policy Authoring: Write and enforce "Least Privilege" access policies using HCL (HashiCorp Configuration Language ...

configurations, diagnostic tooling, networking nuts and bolts Deep familiarity with containers (Docker) and orchestration (Kubernetes) at scale Experience working with a cloud provider (AWS/Azure/GCE), or sysadmin/SRE experience in data centers Experience designing, building, and operating high-scale observability or infrastructure systems Working knowledge ...

willingness to learn a base level of Spark. Hands‐on expertise with complex proofs‐of‐concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape. Nice to have: Databricks Certification ...

including governance, permissions, auditability and data protection including private retrieval architectures and ensuring proprietary data is not exposed to external model providers. Hands‐on AWS experience (Bedrock, Neptune, OpenSearch, Lambda) is very important. Strong engineers able to ramp quickly will also be considered. Cost‐aware design of inference and infrastructure ...

drive customer outcomes. Proficient in programming, debugging, and problem-solving using SQL and Python. Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems ...

10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic ...

willingness to learn a base level of Spark. Hands‐on expertise with complex proofs‐of‐concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Nice to have: Databricks Certification Up to 60% travel ...

software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with ...

following: REST and GraphQL APIs API lifecycle management tools (e.g., the company, Swagger/OpenAPI, Kong, Apigee) CI/CD and automation Cloud platforms (AWS, Azure, GCP) Modern software development practices Excellent communication skills in English, with comfort in customer-facing presentations. Ability to travel up to 25% across ...