11 of 11 Remote/Hybrid Amazon SageMaker Jobs in the City of London

ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A/B testing Data Security & Compliance: Secure SDLC, ISO/NIST ...

Security Clearance and willing to undergo the process Desirable experience Practical knowledge of AWS services such as Lambda, ECS, Bedrock, S3 or SageMaker MLOps and ML engineering tooling (e.g. Docker, MLflow) Experience working in highly regulated or government environments Track record of applying large language models to solve real ...

experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow. Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments. Strong experiment design skills: hypothesis formulation, A/B testing, and statistical evaluation. Proven track record transitioning models from ...

technical concepts to diverse audiences. Eligible for DV security clearance; sponsorship cannot be provided. Desirable: Knowledge of AWS services (e.g., Lambda, ECS, Bedrock, S3, SageMaker). Experience with ML engineering and MLOps (e.g., Docker, MLflow). Experience in regulated industries or government-related projects. Applying LLMs or advanced ...

looking for: Strong Python skills and experience with ML frameworks (scikit-learn, PyTorch, TensorFlow) Hands-on experience with cloud ML services (AWS SageMaker, Lambda, S3) Experience deploying ML/LLM models into production with MLOps best practices Strong experiment design, statistical evaluation, and problem-solving skills Excellent communication, able ...

Hands-on ownership of CI/CD (Jenkins/Azure DevOps/GitHub Actions) and MLOps in Azure ML/Azure AI Foundry/SageMaker/Vertex AI. Working knowledge of Infrastructure as Code (Bicep, ARM, Terraform). A test-driven development mindset and commitment to engineering quality. Broad ...

with Django and Go) Demonstrated ability of productionising/deploying AI models Familiarity with the AWS cloud platform - AI/ML services such as SageMaker and Lambda University Degree in Computer Science, Engineering or Mathmatics If you are interested in the Data Scientist | UK's Fastest Growing AI Hospitality ...

constraints, monitoring and prompt versioning Strong Python skills and experience with PyTorch, TensorFlow or Keras Exposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AI Bachelor's degree in a technical field such as computer science or years of equivalent experience Comfortable working autonomously ...

constrained environments Familiarity with representation learning or self-supervised approaches Research background or publications in relevant areas Tech stack • ML/AI: PyTorch, MLflow, SageMaker, ZenML • Infrastructure: AWS, Kubernetes, Docker • Edge deployment: CoreML, ONNX • Data: Python, S3, multimodal sensor data pipelines • Collaboration: JIRA, Git, structured OKR methodology ...

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on sustainable ...

focus on delivery. What you’ll be working on Setting up and improving MLflow for experiment tracking and model registry Building and supporting AWS SageMaker environments for model training and experimentation Developing ETL/data ingestion pipelines, using tools such as Dagster or Argo Putting in place standard MLOps … evaluation and monitoring frameworks Explainability tooling Essential Strong experience in MLOps/ML platform engineering Solid Python skills Hands-on experience with AWS, particularly SageMaker and S3 Experience with Docker and CI/CD pipelines Background building or maintaining ETL/orchestration workflows Experience using MLflow or a similar ...