101 to 125 of 161 Amazon SageMaker Jobs in the UK

Extensive experience delivering solutions in cloud (AWS/Azure), IaaS, and PaaS environments, specifically leveraging cloud-native AI/ML services (e.g., SageMaker, Azure AI)* Strong background managing teams operating under formal Product and Development Lifecycles, including the validation of AI models in regulated environments* Knowledge of evolving ...

production systems. Track record taking GenAI POCs from prototype to production‐scale deployments. Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex). Experience building or integrating agentic systems, tool‐use chains, or AI‐native developer toolchains. Why Fireworks? Solve Hard Problems: Tackle challenges ...

libraries, frameworks and services: such as ML libraries e.g. TensorFlow or PyTorch; model servers such as AWS Bedrock; MLOps such as ML Flow or Sagemaker; agent/AI orchestration such as LangGraph or MCP libraries Strong programming skills, especially in Python (other languages like C++, Scala, Rust ...

systems that deliver value to real users. Nice to have Experience working with scientific or scholarly text. Familiarity with AWS (S3, Batch, Lambda, SageMaker) and Parquet or Iceberg data lake patterns. Experience running LLMs under real cost and latency budgets in production. Some exposure to agentic AI applications: tool ...

Strands Agents, LangGraph or the Claude Agent SDK, and with interoperability standards such as MCP and A2A. Strong cloud-native expertise on AWS, especially Amazon Bedrock and Bedrock AgentCore, alongside SageMaker, Lambda and Step Functions, with CDK or equivalent IaC. Hands-on LLMOps and MLOps experience, including agent … consumed by multiple product teams, such as internal MCP servers or agent tooling. Experience with vector search at scale, using tools such as OpenSearch, Amazon S3 Vectors or pgvector. Familiarity with AI governance and regulation, and with putting responsible AI practices into day-to-day engineering. An advanced degree ...

machine learning model development, deployment, monitoring, and iteration in production environments, including cloud‐based model training, archiving, serving, endpoint deployment, and tools such as Amazon SageMaker or similar. Experience communicating complex ideas to non‐technical audiences and senior stakeholders. Strong understanding of machine learning methods, their application ...

large language models, including agents, planning, or reasoning techniques Experience building and deploying ML models on cloud platforms Familiarity with AWS tools such as SageMaker, EKS, or similar services #J-18808-Ljbffr ...

machine learning and MLOps Experience with natural language processing (NLP), particularly transformer-based approaches Experience with AWS cloud infrastructure, including services such as SageMaker and Athena Nice to have Hands-on experience with dbt or a comparable data transformation framework Experience with time-series analysis, survival analysis, or longitudinal ...

simpler approach is the better choice. Experience with retrieval, embeddings and working with unstructured text. Hands-on experience with AWS AI services, in particular Amazon Bedrock and SageMaker. Able to lead technically and explain trade-offs to non-technical stakeholders. Desirable Background in life sciences, healthcare or market intelligence. ...

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 ...

know what to do when performance drifts. Nice to have Experience working with scientific or scholarly text. Familiarity with AWS (S3, Batch, Lambda, SageMaker) and Parquet or Iceberg data lake patterns. Experience running LLMs under real cost and latency budgets in production. Some exposure to agentic AI applications: tool ...

Software Development Engineer, NextGen Security Automation Job ID: 2902838 | Amazon UK Services Ltd. At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products … NextGen Security Automation team is looking for a skilled and driven Software Development Engineer (SDE II) to build autonomous security solutions that protect Amazon’s customers. As an SDE II, you will leverage AI/ML technologies to automate detection, analysis, and response across proactive, offensive, and defensive security ...

opportunities across major UK and EMEA clients.Shape AWS-native agentic AI solutions that move clients from proof of concept to production, using Amazon Bedrock, AgentCore, agents, RAG, guardrails, orchestration, observability and operational controls. Architect complex cloud journeys including VMware/data-centre exit, mainframe and .NET modernisation … Transform, Migration Hub, Application Migration Service, AWS Database Migration Service, containers, serverless, managed databases and platform automation.Design production-ready AI/agentic solutions using Amazon Bedrock, AgentCore services, Knowledge Bases, vector/RAG patterns, Amazon Q/Quick where applicable, SageMaker AI, model evaluation and guardrails.Create estimates ...

opportunities across major UK and EMEA clients. Shape AWS-native agentic AI solutions that move clients from proof of concept to production, using Amazon Bedrock, AgentCore, agents, RAG, guardrails, orchestration, observability and operational controls. Architect complex cloud journeys including VMware/data-centre exit, mainframe and .NET modernisation … Migration Hub, Application Migration Service, AWS Database Migration Service, containers, serverless, managed databases and platform automation. Design production-ready AI/agentic solutions using Amazon Bedrock, AgentCore services, Knowledge Bases, vector/RAG patterns, Amazon Q/Quick where applicable, SageMaker AI, model evaluation and guardrails. Create ...

opportunities across major UK and EMEA clients. Shape AWS-native agentic AI solutions that move clients from proof of concept to production, using Amazon Bedrock, AgentCore, agents, RAG, guardrails, orchestration, observability and operational controls. Architect complex cloud journeys including VMware/data-centre exit, mainframe and .NET modernisation … Migration Hub, Application Migration Service, AWS Database Migration Service, containers, serverless, managed databases and platform automation. Design production-ready AI/agentic solutions using Amazon Bedrock, AgentCore services, Knowledge Bases, vector/RAG patterns, Amazon Q/Quick where applicable, SageMaker AI, model evaluation and guardrails. Create ...

opportunities across major UK and EMEA clients. Shape AWS-native agentic AI solutions that move clients from proof of concept to production, using Amazon Bedrock, AgentCore, agents, RAG, guardrails, orchestration, observability and operational controls. Architect complex cloud journeys including VMware/data‐centre exit, mainframe and .NET modernisation … Migration Hub, Application Migration Service, AWS Database Migration Service, containers, serverless, managed databases and platform automation. Design production‐ready AI/agentic solutions using Amazon Bedrock, AgentCore services, Knowledge Bases, vector/RAG patterns, Amazon Q/Quick where applicable, SageMaker AI, model evaluation and guardrails. Create ...

engineer to design, develop and improve software for business and technology capabilities, focusing on scalable, secure ML deployments. You will lead MLOps with Python, SageMaker, Databricks, MLflow, kubernetes, and collaborate with data scientists, infra teams; ensure governance and risk management. The role emphasizes hands-on delivery and mentorship, contributing ...

Barclays is seeking an experienced MLOps Engineer to lead deployment pipelines and governance for enterprise ML initiatives. You will implement and optimize SageMaker, Databricks, and MLflow, driving reproducibility, security, and scalable AI solutions across teams. Strong emphasis on collaboration with data scientists and infra engineers. The role requires hands ...

business application Experience with contextual bandits, off-policy evaluation and learning torank models Experience with AWS technologies such as CDK, Redshift, S3, AWS Glue,Sagemaker, Kinesis, FireHose, Lambda, and IAM roles and permissions. Preferredqualifications: Experience using Unix/Linux Experience in professional software development Experience working within an Agile ...

vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars Familiarity with AWS Cloud services such as EMR, Sagemaker Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies including CI/CD, application resiliency, and security Preferred Qualifications, Capabilities ...

with confidence working AI-first (and the judgement to spot when AI output is wrong). Experience taking models into production on AWS SageMaker or a similar ML platform. Nice to have Familiarity with experimentation or product analytics platforms such as Statsig or Amplitude. Experience with Snowflake ...

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 Salary and Benefits ...

deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services … need exceptionally motivated people who are driven by learning and innovation. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services ...

/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/… DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent across the core services, for example: Storage & lakehouse: SQL, PostgreSQL, Cosmos, Blob, Data Lake, OneLake, Fabric Warehouse Processing & ETL: Fabric Data Factory, Data Factory CDC, Fabric/Synapse Spark, ADF, Synapse Pipelines, Fabric, dbt Data management ...

applications. What they're looking for: Strong track record of deploying and operating real ML systems in production Deep hands-on experience with AWS SageMaker and Python Experience designing ML pipelines, deployment automation and monitoring Solid understanding of cloud-native infrastructure and data engineering Someone comfortable debugging complex production ...