21 of 21 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 ...

Engineering, or similar. Understanding of financial concepts such as discounted cash flows, net present value, and yield curves. Hands-on experience with AWS services (SageMaker, S3, Glue, Step Functions, or equivalent cloud ML infrastructure). Experience with MLOps tooling (MLflow, Airflow, dbt, or equivalent). Familiarity with model risk ...

Good understanding of supervised and unsupervised learning and how to choose/apply the right model to a business problem. Familiarity with AWS (e.g. SageMaker, Lambda and related data tools). Willing to develop basic–intermediate backend skills (Python with Django, Go) to support model deployment and integration. Familiar ...

Signal Processing or Quantitive Analysis Proficient in Python and SQL. Experience with frameworks like PyTorch, Spark, or Airflow is highly desirable. Familiarity with AWS (SageMaker, Lambda) and CI/CD automation. Strong understanding of MLOps, data versioning, and quality management What is in it for you: Salary ...

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 ...

Data Analytics/Engineering: SQL, Python, Snowflake, dbt, Airflow & Looker. AI at Marshmallow: Sierra.ai for conversational AI, Python and LangChain for agentic AI solutions, SageMaker and MLflow for Machine Learning, Cursor and Claude Code for developer productivity. About the Growth Team you’ll be joining The Growth team ...

production software ✅ Commercial experience with LLMs, AI Agents and frameworks such as LangGraph or AutoGen ✅ Experience deploying AI applications on AWS or Azure (Bedrock, SageMaker, OpenAI, Cognitive Services etc.) ✅ Solid understanding of MLOps, CI/CD, Docker and Kubernetes ✅ Experience with RAG architectures, vector databases and retrieval systems ✅ Knowledge ...

other data storage patterns Proficiency with cloud platforms such as AWS or Azure, with experience using data services such as Apache Airflow, terraform or SageMaker ...

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 ...

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 ...

they're looking for: ✅ Strong Python engineering background ✅ Experience building and deploying LLM-powered applications ✅ LangGraph, LangChain, AutoGen or similar agent frameworks ✅ AWS Bedrock, SageMaker or Azure OpenAI experience ✅ Strong understanding of RAG, vector databases and AI observability ✅ MLOps and production AI deployment experience ✅ Proven technical leadership and architecture ...

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 ...

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 ...

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 ...

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 ...