126 to 137 of 137 Amazon SageMaker Jobs in England

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 ...

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 ...

while creating measurable business value for its clients. Base Location: London, UK Role Overview Build PoCs, MVPs, and customer demonstrations Develop GenAI applications using Amazon Bedrock and AWS AI services Design and implement production-grade AI solutions on AWS Lead customer workshops and architecture discussions Guide engineering teams through … Skills & Experience 10+ years of experience in cloud architecture and solution design. Proven experience with AWS AI/ML services such as Agent Core, Amazon Bedrock, SageMaker, Comprehend, Textract, and GenAI patterns (RAG, copilots, agents). Experience in application modernization, cloud migration, DevSecOps, and Infrastructure as Code. Nice ...

development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As an Amazon Web Services (AWS) cloud architect, you'll assist in implementing and supporting large-scale cloud implementations on Amazon AWS. Other duties include architecting … . Deep understanding of AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components). Proven ability to take research and prototype environments to enterprise-ready architectures, balancing speed ...

development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As an Amazon Web Services (AWS) cloud architect, you'll assist in implementing and supporting large-scale cloud implementations on Amazon AWS. Other duties include architecting … . Deep understanding of AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components). Proven ability to take research and prototype environments to enterprise-ready architectures, balancing speed ...

extending lives in areas of high unmet medical need. Задачи Design, maintain and continuously improve AWS-based infrastructure supporting machine learning workloads, including SageMaker, networking, IAM, storage, compute resources and model endpoints Manage cloud environments through Infrastructure as Code while ensuring consistency, scalability and compliance with enterprise architecture, security … cloud and MLOps technologies Требования Hands-on experience designing, implementing and supporting cloud infrastructure in AWS environments Strong knowledge of AWS services including SageMaker, IAM, networking, storage, compute services and container technologies Experience with Infrastructure as Code and cloud automation practices Understanding of cloud security, governance, compliance and access ...

manage what already exists. The team is small but technically strong - production ML in fraud detection, text moderation, and taxonomy classification, running on SageMaker with a dbt/Snowflake stack. We're operating reactively, and there's significantly more value data science can unlock across the marketplace. … science or ML engineering, with 3+ years directly managing data science teams Nice-to-Haves Marketplace, SaaS, or fintech experience Familiarity with our stack (SageMaker, Snowflake, dbt, Docker) Built or contributed to experimentation platforms or MLOps infrastructure Why This Role Real data, real scale. Millions of transactions monthly across ...

Machine Learning/AI Architect Day rate: £650pd inside IR35 Essential: Active SC clearance Remote with ad-hoc travel to site London Competencies/skills Essential Delivery experience of AI-focussed technology projects within larger ...

Amazon Web Services (AWS) is seeking a Senior AI/ML Consultant in Professional Services to lead the delivery of enterprise AI/ML solutions and shape technical strategy for customers undergoing AI transformation. You will own end-to-end engagements, architect advanced solutions on AWS Bedrock and SageMaker ...

Group is seeking an AWS MLOps Engineering Specialist to deploy and operate production-grade ML platforms using SageMaker MLOps. You will enable full ML lifecycles, from data prep to retraining, with automated, governed pipelines and robust security. You will work at the intersection of data science, cloud engineering ...

Amazon Web Services (AWS) is seeking a Senior AI/ML Consultant to lead complex AI/ML engagements for enterprise customers in the UK. You will shape technical strategy, mentor teams, and drive AI transformations across customer sites and offices. You will leverage Bedrock and SageMaker, translate ...

Jobtailor is seeking a senior ML Engineer/Scientist to turn ML models into production services with latency and reliability targets. You will own SageMaker training, processing and inference workloads and build end-to-end pipelines. You will implement reproducible training runs, monitor model performance and data drift ...