201 to 225 of 1,083 AWS Jobs in London

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 AI practices ...

/AI systems design, MLOps, and cloud-native architecturesTrack record of leading ML/AI technical initiatives across multiple teamsStrong 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 AI practices ...

governance, RBAC, and data lineage Expertise in stream processing (Apache Flink, Kafka Streams, ksqlDB) Strong Java, Python, or Scala skills Hands-on experience with AWS/GCP/Azure & Kubernetes CI/CD & infrastructure automation experience (Ansible, CFK)If you’re passionate about **event-driven architectures** and building next ...

ideally FIC, with operations, risk and compliance systems experience Experience using AI coding assistants (Claude, Cursor, GitHub Copilot) with significant examples of delivery improvement AWS (S3, Lambda, EC2, Glue), Snowflake, Git, CI/CD, Datadog, MS SQL Server, REST, GraphQL, Airflow (as many as possible) Degree educated or higher ...

experience building and operating production ML systems Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps, CI/CD and model lifecycle management Cloud platforms (AWS, GCP or Azure) and containers/Kubernetes Experience with low-latency or real-time systems; familiarity with audio or speech processing a plus Mentoring ...

problem-solving Git experience Computer Science or related degree Personal projects or evidence of curiosity Nice to have: pandas experience Exposure to Azure or AWS Basic Docker or DevOps knowledge Interest in AI/ML Experience with streaming tools (Kafka, RabbitMQ) Hybrid working – 3 days per week in a central ...

statistical modelling in a financial context Experience with parallel & concurrent processing, e.g. Dask Familiarity with containerised cloud development, deployment and management (Docker, Kubernetes, AWS) Equal Opportunity Workplace We are proud to be an equal opportunity workplace. We do not discriminatebased upon race, religion, color, national origin, sex, sexualorientation, gender identity ...

cloud environments, CI/CD or IaC security Engineers who can build, improve and implement, not just advise Tech exposure Kubernetes, Terraform, Azure/AWS/GCP, CI/CD, DevSecOps, container security, infrastructure-as-code, cloud architecture, scripting. This is why you should consider applying: Massive cyber investment programme ...

clinical analytics, or medical data science. Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Familiarity with cloud platforms including AWS, Azure, or Google Cloud. Experience with generative AI, large language models (LLMs), and retrieval-augmented generation (RAG). Technical Skills Python SQL Machine Learning MLOps Cloud ...

TensorFlow, LangChain, or similar. * Experience working with LLMs, prompt engineering, vector databases, and retrieval augmented generation (RAG) architectures. * Strong knowledge of cloud platforms including AWS or Azure. * Experience with data engineering and orchestration tools such as Databricks, Airflow, Docker, and Kubernetes is desirable. * Must have previous experience working within ...

analyse security data. Infrastructure & Orchestration: Proven experience Designing Task Orchestration Frameworks (Celery), Containerization (Kubernetes) & Deploying via CI/CD Pipelines in Cloud environments (AWS/GCP/Azure). Big Data & Search: Solid experience building large-scale Data Ingestion Pipelines and integrating robust Search/Analytics Platforms like Elasticsearch ...

traditional enterprise architectures (such as TIBCO RV) to assist in analyzing and modernizing legacy financial workflows. Familiarity with managing cloud-based event brokers (AWS SQS/SNS, Google Pub/Sub, or Azure Event Hubs). Apply : If you would be interested please share your updated cv on yogeshwari.sen @randstaddigital ...

version control, and system design. Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX). Hands‐on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes). Solid understanding of ML fundamentals (model training, evaluation, common architectures). Desired Skills (Bonus Points) Experience with ...

grasp of fundamental concepts from probability, statistics, linear algebra and calculus Collaborative, humble and enthusiastic attitude Preferred qualifications, capabilities and skills: Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc. Experience in deep neural networks and familiarity with the latest developments in related fields Experience in LLM model ...

Terraform, or equivalent. Experience working within modern CI/CD pipelines using tools such as Bamboo, ArgoCD, or similar. Extensive hands-on experience with AWS infrastructure. Experience with monitoring and observability tools such as ElasticSearch and Datadog. Strong communication skills and ability to collaborate effectively with internal teams and external ...

grasp of fundamental concepts from probability, statistics, linear algebra and calculus. Collaborative, humble and enthusiastic attitude. Preferred Qualifications, Capabilities and Skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc. Experience in deep neural networks and familiarity with the latest developments in related fields. Experience in LLM model ...

ambiguous business questions into well‐scoped data and AI problems, and to communicate findings clearly to non‐technical stakeholders. Experience with cloud data platforms (AWS, GCP, or Azure), including familiarity with object storage, managed vector databases, and serverless compute patterns. Familiarity with orchestration tools such as Apache Airflow, Prefect ...

systems architecture. Strong Kubernetes experience with production workloads. Hands‐on experience with workflow orchestration tools (Temporal, Airflow, Kubeflow, or similar). Cloud platform expertise (AWS required, Azure & GCP beneficial). Experience with data processing frameworks (Spark, Athena, Ray, or similar). Experience with systems having ML Engineering and MLOps aspects. ...

across Apple's technology stack Experience building and operating enterprise‐grade ML pipelines (data preparation, distributed training, model optimisation, serving, and monitoring) in cloud (AWS, GCP, Azure) or on‐prem environments Preferred Qualifications Demonstrated ability to deliver end‐to‐end AI products - from problem framing and experimentation through to globally ...

Timely delivery is not your only objective: you obsess over quality, reliability and product value. Understand a modern microservice-based technology stack (Kubernetes, Kafka, AWS/GCP) built on a CI/CD pipeline. Good understanding of the full software development lifecycle (product management, engineering, testing, operations). Inquisitive mind ...

regulated industry, with an appreciation for the governance, operational, and compliance requirements that come with it and experience with cloud platforms (e.g., Azure or AWS) and containerization (e.g., Docker, Kubernetes) Inclusion, Work‐Life Balance and Benefits at Man Group You’ll thrive in our working environment that champions equality ...

technical stakeholders. You excel at working across team boundaries and with third parties to untangle dependencies and move projects forward. Familiarity with cloud technologies (AWS), messaging systems (Kafka, SQS), or data warehouse tools (Snowflake) is a significant plus. At Quantcast, we craft offers that reflect your unique skills, expertise ...

implications of analytics and LLM-enabled use cases in asset management. Certifications: DAMA/CDMP, TOGAF, or cloud data certifications (Snowflake SnowPro, Azure/AWS/GCP equivalents). Experience with streaming and event-driven ecosystems (e.g., Kafka, Azure Event Hubs) for real-time data ingestion patterns. Prior ...

designing AI-enabled solutions Experience using enterprise architecture tools such as LeanIX, Avolution, Orbus, Bizzdesign or similar Relevant certifications (e.g. TOGAF, COBIT, DCAM, AWS/Azure/GCP architecture ) Knowledge of DAMA-DMBOK Security requirements (mandatory) Confirmation that you already hold valid Developed Vetting (DV) clearance Successful Baseline Personnel Security ...

market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments (EC2, Lambda, RDS) Open-source contributions to AI or crypto projects Compensation Salary ...