22 of 22 Permanent Amazon SageMaker Jobs in London

environments Accelerate outcomes using pre-built frameworks and accelerators Core Capabilities AI/ML Engineering: TensorFlow, PyTorch, XGBoost, transformer architectures MLOps & LLMOps: MLFlow, Kubeflow, SageMaker, KServe, vector DBs Cloud & Platform Engineering: AWS, Azure, GCP, Kubernetes, Terraform Data Platforms: Spark, Kafka, Snowflake, Airflow Responsible AI: Explainability (SHAP), model governance frameworks ...

should demonstrate experience across: Enterprise and solution architecture within complex organisations Cloud-based AI/ML platforms including Azure OpenAI, Azure ML, AWS Bedrock, SageMaker, Google Vertex AI, Databricks, Snowflake, Dataiku or similar technologies Designing scalable and cost-optimised AI solutions using serverless, containerised and Kubernetes-based environments Generative ...

scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) Cloud, Infrastructure & MLOps Champion multi-cloud engineering across Azure, AWS, and GCP Lead MLOps strategy (MLflow, Kubeflow, SageMaker, Vertex AI) and CI/CD pipelines Ensure scalable deployments using Kubernetes, Docker, and Infrastructure-as-Code Enterprise Integration (.NET Focus) Integrate AI capabilities ...

best practices Required Skills & Experience 1+ year hands-on experience deploying GenAI/LLM applications into production Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS Strong Python development skills with modern AI/ML libraries Practical experience using at least one LLM API Solid ...

best practices Required Skills & Experience 1+ year hands-on experience deploying GenAI/LLM applications into production Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS Strong Python development skills with modern AI/ML libraries Practical experience using at least one LLM API Solid ...

compliance (Zero Trust architectures, identity‐aware AI access, secrets management) AI/ML platforms, responsible AI practices, and model lifecycle management (MLflow, Vertex AI, SageMaker, Azure ML, Arize, Azure AI Studio) Design and operationalize enterprise‐scale GenAI and agent‐based solutions. Experience with modern AI architectures including Retrieval‐Augmented ...

experience in using one of 3 major cloud technologies (AWS, Azure or GCP) in a production environment, as well as ML platforms (e.g., AWS Sagemaker, Azure Machine Learning studio) Be a ‘lifelong learner’ and can demonstrate a drive to always be learning and developing your skillsets and develop ...

practice in Python. Familiarity with popular machine learning libraries and frameworks such as scikit-learn, Hugging Face, PyTorch and TensorFlow. Experience with MLFlow, AWS SageMaker and Bedrock is preferred.Good written and oral communication skills, including the ability to communicate across business areas and increase overall knowledge across the organization. ...

selection, and performance trade-offs Ability to assess use case viability and business value Cloud & Technology Experience across at least two of: AWS (Bedrock, SageMaker) Azure (Azure ML, Azure OpenAI) GCP (Vertex AI) OpenAI ecosystem Plus: Understanding of data engineering and big data concepts Awareness of cloud security, scalability ...

Tungsten Automation solutions Production AI Experience : Leverage experience with deploying, monitoring, and maintaining AI/LLM models in production (e.g., Azure ML, AWS Sagemaker, or Kubernetes-based ML pipelines) Thought Leadership : Provide thought leadership on AI-driven automation trends and best practices, both internally and externally Collaboration and Cross ...

Typescript GraphQL (Apollo Client) Fastlane SwiftUI (Apple Watch) Maestro E2E tests Backend: Serverless (AWS) Lambdas (NodeJS & Python) AWS AppSync DynamoDB, S3, SQS, SNS, EventBridge, SageMaker Snowflake All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect/Play Store Google Tag Manager We follow ...

implementation. Required Skills & Experience Deep experience architecting and scaling enterprise-grade AI/ML systems . Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong command of agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi-disciplinary teams ...

retraining workflows.* Hands-on experience with model deployment and runtime management across varied environments (batch, real-time, REST, edge), using tools like MLflow, SageMaker, Databricks, or other equivalent.* Strong background in monitoring, observability, and incident response — including drift detection, fairness tracking, latency alerts, and recovery protocols.* Skilled in building ...

rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access — self-service provisioning, entitlement workflows, one-click integration with SageMaker, Databricks, and EMR. Network effects: Analyze usage trends to improve data quality, discovery and relevancy across persona groups Collaborate with Engineering, Design & Data Science ...

Lead the end-to-end development and testing of a Python‐based ML platform. Cloud Infrastructure: Architect and manage ML environments specifically within AWS (SageMaker, Lambda, S3), ensuring scalable training and deployment pipelines. Data Orchestration: Develop a unified data structure for our AI platform using existing and new APIs … TensorFlow . Generative AI: Practical experience with LLM orchestration (e.g., LangChain) and vector databases for RAG workflows. Cloud & DevOps: Professional experience with AWS/SageMaker (or similar) and a strong comfort level with Linux/Unix environments. Data Engineering: Proficiency in SQL and experience preparing or scraping complex datasets ...

provide technical leadership across the full lifecycle of machine learning systems while architecting production-grade ML solutions. You will work with AWS SageMaker, lead teams on MLOps strategies, and ensure systems adhere to governance standards. This is a hands-on, technical position ideal for those with deep expertise ...

Description Principal AI + Data Architect, Agentforce and AI Ecosystem We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies ...

Role Summary We are seeking a Principal Machine Learning Engineer (SageMaker, MLOps, Model Governance & Explainability) to provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that … platform, including data pipelines, model training workflows, inference runtimes, and telemetry ecosystems. Lead adoption of best‐in‐class MLOps patterns, platform tooling, and AWS SageMaker capabilities across training, processing, registry, monitoring, and deployment. Partner with platform, security, and data engineering teams to implement scalable data lakehouse oriented feature architectures ...

Partner Insights Manager, Global Fleet and Products Job ID: 10420812 | Amazon UK Services Ltd. Global Fleet and Products (GFP) are seeking a Senior Partner Insights Manager to develop actionable, data‐driven insights that help deliver meaningful improvement to Delivery Service Partners (DSPs) experience of operating fleet on the Amazon … step‐change initiatives for the organization. Onboarding data from our WW data warehouse to build automated data pipelines utilizing eg Python in Lambda or Sagemaker to invoke API calls. Using statistical techniques and tools for strategic deep dives; generating actionable insights and effectively communicating recommendations to senior leadership. Inventing ...

exists. Today the team is small but technically strong. We have production ML models in fraud detection, text moderation, and taxonomy classification, running on SageMaker with a dbt/Snowflake data stack. But we're operating reactively, and we know there's significantly more value DS can unlock across … into leads, created career ladders, built team culture Nice‐to‐Haves Experience in the marketplace, SaaS, or fintech businesses Familiarity with our stack: SageMaker, Snowflake, dbt, Docker Built or contributed to feature store, MLOps, or experimentation platform infrastructure Experience in establishing experimentation and A/B testing ...

design authority Comfortable working directly with senior client stakeholders Strong mentoring and coaching capability Experience with some of the following technologies or ecosystems: Amazon Bedrock and SageMaker Claude/Anthropic Azure AI Foundry or Azure OpenAI Databricks Vector databases and RAG architectures Agentic AI orchestration frameworks ...

exists. Today the team is small but technically strong. We have production ML models in fraud detection, text moderation, and taxonomy classification, running on SageMaker with a dbt/Snowflake data stack. Overall, your job is to set the direction, grow the team, and make data science visible … into leads, created career ladders, built team culture. Nice‐to‐Haves Experience in the marketplace, SaaS, or fintech businesses. Familiarity with our stack: SageMaker, Snowflake, dbt, Docker. Built or contributed to feature store, MLOps, or experimentation platform infrastructure. Experience in establishing experimentation and A/B testing ...