16 of 16 Amazon SageMaker Jobs in the North of England

we are looking for: 4+ years of experience in MLOpsor Software Engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerisation and orchestration tools (Docker, Kubernetes). Knowledge of data engineering concepts (e.g., ETL, data pipelines). Please note that this role More ❯

we are looking for: 4+ years of experience in MLOpsor Software Engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerisation and orchestration tools (Docker, Kubernetes). Knowledge of data engineering concepts (e.g., ETL, data pipelines). Please note that this role More ❯

Terraform, GitHub, and VS Code for pipeline deployment. Proven leadership in developing high-performing data teams. Strong SQL and familiarity with analytics tools such as Alteryx, AWS Athena, Quicksight, Sagemaker, Tableau, and Power BI. Excellent communication and stakeholder management skills. Ability to write clear technical documentation and define user stories with appropriate acceptance criteria. Desirable: Experience in real-time More ❯

Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and More ❯

Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and More ❯

and Terraform. Understanding of data governance, lineage tools, and cloud-based data architectures. Skilled in a range of analytics and BI tools (e.g., SQL, Alteryx, Power BI, Tableau, AWS SageMaker, QuickSight). Strong documentation, communication, and stakeholder management skills. Adept at managing multiple priorities in a fast-paced environment, with strong attention to detail. Desirable: Familiarity with AWS Lake More ❯

Desirable experience: Familiar with Terraform, from a developer perspective. Previous work in financial services, healthcare, or similarly regulated data environments. Experience with LLMs, voice agents, or tools like AWS SageMaker, AWS Bedrock, or ElevenLabs. Exposure to soft real-time systems or distributed system architectures. Knowledge of OAuth, SQS, or running containers in production. More ❯

solutions in complex enterprise environments Experience in all architecture domains:- application, data, cloud ( AWS) and technology with expertise with AI, Gen Ai and ML frameworks (e.g., TensorFlow, PyTorch, AWS Sagemaker, AWS Bedrock, OpenAI). Strong experience of AI services and AI lifecycle and model training Proficiency in backend and frontend technologies such as .NET Core, Node.js, and React; familiarity More ❯

management skills to lead, motivate and grow a team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad product-set and drive forward the delivery of new products and product features. Strong ability to communicate complex concepts clearly More ❯

just file handling). Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder – with a strong sense of how More ❯

just file handling). Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder with a strong sense of how More ❯

just file handling). Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder with a strong sense of how More ❯

just file handling). Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder with a strong sense of how More ❯

potential. Essential foundational skills include: Deep proficiency in Python or JavaScript/TypeScript and associated AI/ML SDKs. Solid experience with cloud platforms, specifically AWS (including services like SageMaker, Lambda, S3). Preferred Skills We value experience with deploying and managing open-source models. Our front-end stack includes React/Next.js, so familiarity here is beneficial. Additional More ❯

skills Ability to translate technical solutions into business outcomes Strong project leadership skills, ideally with experience in agile environments Desirable: Familiarity with cloud AI platforms (e.g. Azure AI, AWS SageMaker, Google Vertex AI) Experience with data governance, compliance, and risk in AI deployments Understanding of change management principles in large-scale technology programmes Why apply? This is a high More ❯

skills Ability to translate technical solutions into business outcomes Strong project leadership skills, ideally with experience in agile environments Desirable: Familiarity with cloud AI platforms (e.g. Azure AI, AWS SageMaker, Google Vertex AI) Experience with data governance, compliance, and risk in AI deployments Understanding of change management principles in large-scale technology programmes Why apply? This is a high More ❯