11 of 11 Amazon SageMaker Jobs in the North West

on cutting-edge machine learning and data engineering projects, leveraging the latest cloud technologies and MLOps practices. Required/Primary Skills: AWS Data Engineering ML Engineering ML-Ops ECS, Sagemaker Gitlab Jenkins CI/CD AI Lifecycle Experience in front-end development (HTML, Stream-lit, Flask Familiarity with model deployment and monitoring in cloud environments (AWS). Understanding of More ❯

turn insights into product features Ensure compliance, scalability, and reliability of ML systems Skills Required Proven experience with ML in production environments Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.) Familiarity with MLOps and real-time data applications A pragmatic mindset and strong problem-solving ability Background in adtech or fraud detection is a bonus Desired Skills More ❯

turn insights into product features Ensure compliance, scalability, and reliability of ML systems Skills Required Proven experience with ML in production environments Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.) Familiarity with MLOps and real-time data applications A pragmatic mindset and strong problem-solving ability Background in adtech or fraud detection is a bonus Desired Skills More ❯

turn insights into product features Ensure compliance, scalability, and reliability of ML systems Skills Required Proven experience with ML in production environments Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.) Familiarity with MLOps and real-time data applications A pragmatic mindset and strong problem-solving ability Background in adtech or fraud detection is a bonus Desired Skills More ❯

with the organisation's existing team to support the delivery of one of the organisation's key strategic initiatives. Experience required: AWS Data/ML Engineering & ML Ops (ECS, Sagemaker) CI/CD pipelines (GitLab, Jenkins) Python, PySpark & Big Data ecosystems AI/ML lifecycle, deployment & monitoring MLOps tooling (MLflow, Airflow, Docker, Kubernetes) Front-end exposure (HTML, Flask, Streamlit More ❯

current to target state. Along with this, you'll need a good understanding of data lifecycle management and in-depth knowledge ofdata modelling and database design. Experience in AWS Sagemaker would be highly desirable. Furthermore, you'll need: Experience in producing clear data architecture diagrams at various levels of detail and for different audiences Experience of engaging with stakeholders More ❯

. Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi-cloud environments (AWS, Azure) using Docker/Kubernetes. Apply modern MLOps practices (MLflow, SageMaker, Airflow) and CI/CD for productionisation. Collaborate on AI projects that accelerate renewable energy innovation globally. Mentor junior engineers/data scientists and drive technical design reviews. What … Senior-level experience in Python (essential), with additional C C# skills valued. Applied AI: Hands-on experience with GenAI/LLMs, LangChain, LangGraph, and RAG pipelines. MLOps expertise: MLflow, SageMaker, Airflow, plus CI/CD and observability practices. Cloud & architecture: AWS/Azure and containerisation (Docker, Kubernetes). Experience handling large datasets and distributed systems (Spark). Strong grounding More ❯

. Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi-cloud environments (AWS, Azure) using Docker/Kubernetes. Apply modern MLOps practices (MLflow, SageMaker, Airflow) and CI/CD for productionisation. Collaborate on AI projects that accelerate renewable energy innovation globally. Mentor junior engineers/data scientists and drive technical design reviews. What … Senior-level experience in Python (essential), with additional C C# skills valued. Applied AI: Hands-on experience with GenAI/LLMs, LangChain, LangGraph, and RAG pipelines. MLOps expertise: MLflow, SageMaker, Airflow, plus CI/CD and observability practices. Cloud & architecture: AWS/Azure and containerisation (Docker, Kubernetes). Experience handling large datasets and distributed systems (Spark). Strong grounding More ❯

. Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi-cloud environments (AWS, Azure) using Docker/Kubernetes. Apply modern MLOps practices (MLflow, SageMaker, Airflow) and CI/CD for productionisation. Collaborate on AI projects that accelerate renewable energy innovation globally. Mentor junior engineers/data scientists and drive technical design reviews. What … Senior-level experience in Python (essential), with additional C C# skills valued. Applied AI: Hands-on experience with GenAI/LLMs, LangChain, LangGraph, and RAG pipelines. MLOps expertise: MLflow, SageMaker, Airflow, plus CI/CD and observability practices. Cloud & architecture: AWS/Azure and containerisation (Docker, Kubernetes). Experience handling large datasets and distributed systems (Spark). Strong grounding More ❯

. Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi-cloud environments (AWS, Azure) using Docker/Kubernetes. Apply modern MLOps practices (MLflow, SageMaker, Airflow) and CI/CD for productionisation. Collaborate on AI projects that accelerate renewable energy innovation globally. Mentor junior engineers/data scientists and drive technical design reviews. What … Senior-level experience in Python (essential), with additional C C# skills valued. Applied AI: Hands-on experience with GenAI/LLMs, LangChain, LangGraph, and RAG pipelines. MLOps expertise: MLflow, SageMaker, Airflow, plus CI/CD and observability practices. Cloud & architecture: AWS/Azure and containerisation (Docker, Kubernetes). Experience handling large datasets and distributed systems (Spark). Strong grounding More ❯

. Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi-cloud environments (AWS, Azure) using Docker/Kubernetes. Apply modern MLOps practices (MLflow, SageMaker, Airflow) and CI/CD for productionisation. Collaborate on AI projects that accelerate renewable energy innovation globally. Mentor junior engineers/data scientists and drive technical design reviews. What … Senior-level experience in Python (essential), with additional C C# skills valued. Applied AI: Hands-on experience with GenAI/LLMs, LangChain, LangGraph, and RAG pipelines. MLOps expertise: MLflow, SageMaker, Airflow, plus CI/CD and observability practices. Cloud & architecture: AWS/Azure and containerisation (Docker, Kubernetes). Experience handling large datasets and distributed systems (Spark). Strong grounding More ❯