51 to 64 of 64 Amazon SageMaker Jobs in England

platform technologies is essential, including: AWS cloud services SQL databases PostgreSQL Python Data cataloguing and metadata management Experience with AWS services like Glue or SageMaker is a plus, but the focus remains on governance, quality, and strategy. Ideal Candidate: We're looking for a bridge-builder between business ...

model monitoring, content safety, LLMOps, GenAIOps or production support for AI systems Experience with non‐Microsoft AI platforms or services, such as AWS Bedrock, Amazon Q, SageMaker, Google Vertex AI, Anthropic Claude, OpenAI APIs or open‐source model ecosystems Familiarity with ISO 42001, NIST ...

Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services — and this is the role that leads it. The Head of AI Solutions is a newly created ...

contract MUST have experience of ML in Snowflake. Looking for a Machine Learning Engineer to lead a migration of ML capabilities from existing AWS Sagemaker to Snowflake ML - will need to proof out can existing ML models work in Snowflake click apply for full job details ...

models and drive business insights.Be a Databricks champion or have some Databricks certificationsAWSWork hands-on with AWS services such as Redshift, Glue, Lake Formation, SageMaker, Athena, and moreStrong hands-on expertise with AWS services (e.g. Redshift, Glue, Lake Formation, SageMaker).AWS Certified ArchitectAdditional InfoSecurity Clearance: To be successfully ...

with AWS technical teams Technical focus You will bring experience across several of the following areas: Generative AI and machine learning, including Bedrock and SageMaker Data and analytics, including Amazon Marketing Cloud and Clean Rooms Customer experience platforms such as Personalize and Connect Modern application development using Lambda … have Advanced AWS certifications, such as AWS Solutions Architect Professional or Specialty certifications in Machine Learning, Data Analytics or Security. Hands-on experience with Amazon Bedrock, generative AI implementations or broader AI use cases. Familiarity with Amazon Marketing Cloud, advertising technology or marketing technology environments. Previous experience working ...

design authority Comfortable working directly with senior client stakeholders Strong mentoring and coaching capability Experience with some of the following technologies or ecosystems: Amazon Bedrock and SageMaker Claude/Anthropic Azure AI Foundry or Azure OpenAI Databricks Vector databases and RAG architectures Agentic AI orchestration frameworks ...

Role Summary We are seeking a Principal Machine Learning Engineer (SageMaker, MLOps, Model Governance & Explainability) to provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that … platform, including data pipelines, model training workflows, inference runtimes, and telemetry ecosystems. Lead adoption of best‐in‐class MLOps patterns, platform tooling, and AWS SageMaker capabilities across training, processing, registry, monitoring, and deployment. Partner with platform, security, and data engineering teams to implement scalable data lakehouse oriented feature architectures ...

KPIs. Prioritize initiatives that directly improve LTV, retention, ARPU, ROAS, and operational efficiency. Deliver robust, production-ready ML systems across multiple verticals. Leverage AWS SageMaker, Snowflake, and internal tools with strong MLOps practices. Build and manage a high-performing AI/ML team of 10–20 professionals. Promote … with strong stakeholder communication skills across technical and non-technical audiences. Hands-on experience with user-level and performance marketing data.• Proficiency with AWS (SageMaker, Lambda, Step Functions), Snowflake, and modern MLOps tooling. Familiarity with ML frameworks including PyTorch, TensorFlow, scikit-learn, and XGBoost. Experience managing and scaling high ...

KPIs. Prioritize initiatives that directly improve LTV, retention, ARPU, ROAS, and operational efficiency. Deliver robust, production-ready ML systems across multiple verticals. Leverage AWS SageMaker, Snowflake, and internal tools with strong MLOps practices. Build and manage a high-performing AI/ML team of 10–20 professionals. Promote … with strong stakeholder communication skills across technical and non-technical audiences. Hands-on experience with user-level and performance marketing data.• Proficiency with AWS (SageMaker, Lambda, Step Functions), Snowflake, and modern MLOps tooling. Familiarity with ML frameworks including PyTorch, TensorFlow, scikit-learn, and XGBoost. Experience managing and scaling high ...

exists. Today the team is small but technically strong. We have production ML models in fraud detection, text moderation, and taxonomy classification, running on SageMaker with a dbt/Snowflake data stack. But we're operating reactively, and we know there's significantly more value DS can unlock across … into leads, created career ladders, built team culture Nice‐to‐Haves Experience in the marketplace, SaaS, or fintech businesses Familiarity with our stack: SageMaker, Snowflake, dbt, Docker Built or contributed to feature store, MLOps, or experimentation platform infrastructure Experience in establishing experimentation and A/B testing ...

Select how often (in days) to receive an alert: For airports, for partners, for people. We are Cavu. At Cavu, our purpose is to find new and better ways to make airport travel seamless and ...

Business Unit: Cavu Data Director Manchester/Hybrid About Cavu For airports, for partners, for people. We are Cavu. At Cavu, our purpose is to find new and better ways to make airport travel seamless ...

contract MUST have experience of ML in Snowflake. Looking for a Machine Learning Engineer to lead a migration of ML capabilities from existing AWS Sagemaker to Snowflake ML - will need to proof out can existing ML models work in Snowflake. This role will also drive optimisation of ML capabilities … Learn, TensorFlow, Pytorch etc Strong understanding of model deployment MLOps - experienced in designing and implementing MLOps frameworks and best practices Strong stakeholder management AWS Sagemaker is a nice to have Experience with feature stores, model registries and ML obserability tooling Machine Learning Engineer, Snowflake ML, Python, MLOps, Sagemaker ...