126 to 142 of 142 Amazon SageMaker Jobs in London

place where everyone can grow, develop and fulfil your potential with meaningful careers. The Role: 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 … 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 architecture ...

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 ...

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 minimising disruption Define and enforce MLOps best practices across model training, serving, monitoring, and deployment MLOps & Engineering Design and maintain scalable … data engineering, and large-scale data processing Experience with containerisation (Docker) and scalable data systems (e.g. Spark, Kafka) Nice-to-Have 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 ...

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 ...

technologies, modern architecture patterns and industry best practices Connect to your skills and professional experience AWS Expertise Proven experience designing and architecting solutions on Amazon Web Services (AWS). Strong understanding of AWS services including compute, storage, networking, security, data, analytics, integration and serverless technologies. Experience developing cloud transformation … influence architectural decisions and drive alignment across multiple stakeholder groups. Emerging Technologies Understanding of AWS AI/ML and Generative AI services, including Amazon Bedrock and SageMaker. Knowledge of modern data platforms, analytics solutions and cloud-native architectures. Interest in emerging technologies and their application to business transformation challenges. ...

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 ...

Principal Architect: Amazon Web Services (AWS)Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: PermanentShape and lead transformative AWS initiatives across financial services.About CapcoCapco is a global leader in technology and business consulting, dedicated to driving digital innovation and transformation in financial services. We’ve partnered with over … wealth and asset management, and energy with an agile, inclusive, and entrepreneurial culture.Role OverviewYou will take a leading role in shaping and delivering transformative Amazon Web Services (AWS) programmes for our clients. You will bring your expertise to bear by supporting clients in designing new and innovative cloud-native ...

Principal Architect: Amazon Web Services (AWS)Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: PermanentShape and lead transformative AWS initiatives across financial services. About CapcoCapco is a global leader in technology and business consulting, dedicated to driving digital innovation and transformation in financial services. We've partnered with over … asset management, and energy with an agile, inclusive, and entrepreneurial culture. Role OverviewYou will take a leading role in shaping and delivering transformative Amazon Web Services (AWS) programmes for our clients. You will bring your expertise to bear by supporting clients in designing new and innovative cloud-native platforms ...

CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform. The Senior Data Engineer (ML) will build and migrate data pipelines feeding model training and inference, ensuring parity with the old Databricks setup. This hands-on role operates in a regulated ...

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 ...

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 ...