26 to 36 of 36 Remote/Hybrid Amazon SageMaker Jobs

pipelines, MLOps frameworks, and automated machine learning deployment processes Hands-on experience with Azure Databricks or similar machine learning platforms (ie MLFlow, KubeFlow, SageMaker etc) Experience building APIs, microservices, and cloud-based solutions that integrate machine learning capabilities into wider platforms and applications Excellent collaboration and technical communication skills ...

technical excellence. Qualifications Proficiency in Python and C#. SQL or R is a plus. Experience with Cloud AI services such as Azure ML, AWS SageMaker, GCP Vertex AI. Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Practical knowledge of algorithms and techniques such ...

technical excellence. Qualifications Proficiency in Python and C#. SQL or R is a plus. Experience with Cloud AI services such as Azure ML, AWS SageMaker, GCP Vertex AI. Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Practical knowledge of algorithms and techniques such ...

Probabilistic prediction techniques using scalable Python-based development environments such as PyTorch or TensorFlow Cloud-native machine learning and MLOps environments such as AWS SageMaker Small or large language model development with retrieval-augmented generation Industrial analytics or predictive maintenance Knowledge of construction-related industries and market drivers Commercial ...

implementation. Required Skills & Experience Deep experience architecting and scaling enterprise-grade AI/ML systems . Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong command of agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi-disciplinary teams ...

started. We're a team of 100 people, passionate about solving our customers' problems. Join us. Our Data & BI Stack: Data & Analytics: SQL, Python, Sagemaker, Jupyter Bi & Visualisation: Looker, Power BI Data & Infrastructure: AWS, Terraform & wider cloud data environment Product & Collaboration: Notion, Miro, Figma AI & Data Science: Python based ...

sectors.ResponsibilitiesSet the technical vision, architecture standards and engineering practices for the AWS practiceLead adoption of AI and GenAI capabilities on AWS, including Bedrock, SageMaker and RAG patternsProvide hands-on technical oversight on complex engagements and ensure quality deliveryEstablish and nurture the AWS partnership through competencies, programs and joint ...

infrastructure across backend and frontend, while guiding a 5+ engineering team. The role focuses on deploying scalable ML systems, migrating MLflow to AWS SageMaker, and enforcing MLOps best practices, with collaboration across data science, engineering, and operations in a hybrid London or remote Spain setup. #J-18808-Ljbffr ...

integration. Lead architectural decisions across the ML stack, ensuring scalability, reliability, and alignment with business goals. Drive the ongoing migration from MLflow to AWS SageMaker, maintaining continuity and minimizing disruption. Define and enforce MLOps best practices across model training, serving, monitoring, and deployment. Design and maintain scalable ML infrastructure … e.g., Spark, Kafka). Strong leadership presence, excellent communication, strategic thinking, and empathy with a hands-on execution mindset. Desirable Requirements: Experience with AWS SageMaker or similar managed ML platforms. Background in safety-critical or regulated industries (aerospace, aviation, or similar). Familiarity with Kafka or event-driven architectures ...

Operation, MLOps and Data Engineering to ensure models are scalable, explainable, and production-ready in real-time or near-real-time environments (e.g. AWS SageMaker) Act as a technical authority for advanced AI in merchant risk, influencing architecture, tooling, and long-term modelling strategy. Balance innovation with model governance … modern ML tooling. Strong hands-on experience with: Transformers, LSTM/sequence models Representation learning & embeddings Autoencoders & anomaly detection Experience operationalising models on AWS SageMaker (or equivalent). Strong understanding of model evaluation, explainability, and monitoring in high-risk environments. What we’re looking for – Education: Advanced degree (Master ...

Engineer with strong AI/ML capability to join our delivery team. You will implement AI/ML solutions on AWS, including Bedrock agents, SageMaker pipelines and Terraform-based infrastructure, while contributing to migrations and modernisation engagements. You will work within SOW-driven teams, delivering production pipelines, security hardening ...