19 of 19 Amazon SageMaker Jobs in the UK excluding London

with the expectation to be in the London office 1-2 times per week. Key Responsibilities Deploy ML models as real-time endpoints using Amazon SageMaker * Build and manage batch inference pipelines * Implement CI/CD workflows for ML using Git-based processes * Containerize applications using Docker * Monitor … CloudWatch * Automate data pipelines and feature workflows using Python & SQL * Ensure secure access and governance using AWS IAM and best practices Core AWS Stack Amazon SageMaker | Amazon S3 | Amazon Redshift | AWS Lambda | Amazon CloudWatch | AWS IAM What We're Looking For Strong hands-on experience ...

Docker, Kubernetes desirable) Model packaging and REST APIs Cloud & Tools (Any combination) AWS/Azure/GCP analytics and ML services MLflow, Azure ML, SageMaker, Vertex AI Version control (Git) Domain & Soft Skills Strong analytical and problem solving skills Ability to explain complex data science concepts in simple business ...

Knowledge graphs and semantic search Data engineering pipelines MLOps & Deployment CI/CD for ML, model monitoring, versioning Kubernetes, Docker, serverless architectures MLflow, Kubeflow, SageMaker or similar Cloud & Architecture Azure AI, AWS AI/Bedrock, Google Vertex AI API-led architectures and microservices Security, governance, and responsible AI Frameworks ...

more cloud platforms or third-party technologies such as Google PaLM and Vertex AI, Azure OpenAI Services and Azure ML, AWS Bedrock and SageMaker, Dataiku, Databricks, Snowflake Snowpark and Snowflake Cortex, and DataRobot. Experience architecting scalable, high-performance, and cost-optimised AI and ML solutions using serverless technologies, containerised ...

Machine Learning Architect/GenAI Architect Hands-on expertise with LLMs, RAG, LangChain, LangGraph, prompt engineering Strong cloud experience: Azure OpenAI, AWS Bedrock/SageMaker or GCP Vertex AI Experience with Kubernetes, Docker, microservices, API integration Strong knowledge of Python, MLOps, LLMOps, CI/CD, model monitoring Experience delivering ...

native tooling. Architect and develop cutting-edge platform services for AI-driven trading. Tech Stack Programming: Python AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and Databricks On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. What we are looking for 5 – 10 years of experience in data engineering, ideally ...

Generative AI models, LLMs, and agentic frameworks. •Collaborate with stakeholders to define problem statements and solution approaches. •Deploy models using MLOps tools such as SageMaker, Snowflake, and CI/CD pipelines. •Integrate vector databases and Retrieval-Augmented Generation (RAG) pipelines. •Ensure high-quality delivery and adherence to best practices ...

technical audiences. Understanding of Information Governance, ethics, and AI explainability. Excellent problem-solving, organisational, and communication skills. Desirable Cloud computing (Azure ML, AWS SageMaker), APIs, Git Data engineering or DevOps awareness Familiarity with interoperability standards (FHIR, HL7, OpenEHR). Awareness of national data strategies (Data Saves Lives, PHM Framework ...

infrastructure, and cloud-native tooling. Tech Stack • Programming: Python (Java familiarity is a plus). • AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. • On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different • Direct Impact: Build AI tools that traders and quants use daily ...

infrastructure, and cloud-native tooling. Tech Stack Programming: Expert level Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact: Build AI tools that traders and quants ...

Proficiency in Python and common ML frameworks such as PyTorch, TensorFlow, or scikit-learn * Exposure to ML/MLOps tooling such as SageMaker, MLflow, or TFServing * Experience with Spark, Databricks, CI/CD tools, and streaming or orchestration systems like Kafka or Airflow How to Apply ...

team-led hybrid working arrangement is in place. About you For this role youll need to have: Extensive experience with AWS (S3, Glue, Redshift, SageMaker) Experience leading and coaching individuals to provide ongoing oversight over the development of data products. Experience of building and automating data pipelines in finance ...

team-led hybrid working arrangement is in place. About you For this role youll need to have: Extensive experience with AWS (S3, Glue, Redshift, SageMaker) Experience leading and coaching individuals to provide ongoing oversight over the development of data products. Experience of building and automating data pipelines in finance ...

designing large-scale digital transformation solutions - including AI, data platforms, and cloud architectures. AI & Data Expertise in AI/ML platforms (Azure AI, AWS SageMaker, Google Vertex AI), data governance, analytics, and responsible AI practices. Cloud & Integration Strong understanding of hybrid and multi-cloud architectures, APIs, microservices, and event ...

translate business requirements into technical specifications and deliver impactful solutions. • Develop and maintain robust and scalable machine learning pipelines using AWS services (e.g., SageMaker, EC2, S3, Lambda) and other relevant technologies. • Stay abreast of the latest advancements in computer vision and machine learning research and explore new opportunities … their practical applications. • Proficiency in Python and experience with popular machine learning libraries (e.g., TensorFlow, PyTorch). • Strong experience with AWS services, including SageMaker, EC2, S3, Lambda, etc. • Experience with cloud-native development and deployment methodologies. • Ability to work independently and as part of a collaborative team. • A strong ...

managers) to translate business requirements into technical specifications and deliver impactful solutions. Develop and maintain robust and scalable data pipelines using AWS services (e.g., SageMaker, EC2, S3, Lambda) and other relevant technologies. Stay abreast of the latest advancements in data pipeline research and explore new opportunities to apply these … Experience & Skills: Master's or Ph.D. in Computer Science, Computer Engineering, or a related field. Proficiency in Python Strong experience with AWS services, including SageMaker, EC2, S3, Lambda, etc. Experience with cloud-native development and deployment methodologies. Ability to work independently and as part of a collaborative team. General ...

model performance, data drift, and system health to ensure reliability and availability. Support ML platforms and infrastructure on-premise or in the cloud (AWS, SageMaker), ensuring scalability and security. Collaborate with data scientists to productionise models and embed ML Ops best practices across the organisation. Ensure governance, compliance, documentation … model maintenance. Hands-on experience with Python (and ML frameworks), containerisation (Docker/Kubernetes), CI/CD pipelines, and cloud ML services (AWS SageMaker preferred). Experience with infrastructure-as-code, production-grade Linux environments, and API services (Flask/Gunicorn). Proficiency in building automated, reliable ML pipelines ...

governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent) Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions Establish monitoring frameworks for performance, drift … closely with Engineering/Data teams in production-first environments Comfortable operating within regulated industries Desirable AWS experience (S3, Athena/Glue, IAM, Lambda) SageMaker or equivalent ML platform experience Financial services domain knowledge (risk, fraud, affordability, payments) Experience with model explainability and governance documentation Package & Benefits Hybrid working ...

governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent) Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions Establish monitoring frameworks for performance, drift … closely with Engineering/Data teams in production-first environments Comfortable operating within regulated industries Desirable AWS experience (S3, Athena/Glue, IAM, Lambda) SageMaker or equivalent ML platform experience Financial services domain knowledge (risk, fraud, affordability, payments) Experience with model explainability and governance documentation Package & Benefits Hybrid working ...