126 to 150 of 157 Amazon SageMaker Jobs in the UK

particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will … understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state-of-art techniques in the fields of Natural Language Processing ...

built AI/ML platform capability on AWS yourself. Bedrock in particular - model access, guardrails, knowledge bases, agentic patterns - plus the surrounding tooling (SageMaker, vector stores, evaluation and observability). Expert-level Infrastructure as Code (Terraform strongly preferred; CloudFormation/CDK welcome) and strong scripting (Python, Bash) for complex … deliver cloud-native solutions aligned to our clients goals Take our AI platform capability from early foundations to a production-grade, self-service platform: Amazon Bedrock and the surrounding tooling (model access and routing, guardrails, knowledge bases/RAG patterns, agentic workflows), with the observability, cost controls and security ...

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 ...

William Hill PLC is seeking a Cloud Engineer for a 3-6 month Fixed Term Contract based in Leeds. The successful candidate will work within a newly formed team to help build and evolve Evoke ...

Science to embed data science as a core function. Lead a small, technically strong team delivering production ML, fraud detection, and taxonomy work, using SageMaker with a dbt/Snowflake stack. Drive strategy, hire and scale the team, and ensure data science informs product decisions across a global marketplace. ...

architecture, design, and delivery of enterprise-scale generative AI solutions on AWS. Translate business problems into secure, scalable, production-grade AI systems using Amazon Bedrock, retrieval-augmented generation (RAG), agentic workflows, and cloud-native AWS services. Drive architecture standards, model orchestration, governance, observability, and operational excellence across the GenAI … home 100% of the time.**Your Role:*** Lead architecture and implementation of GenAI applications using AWS services, especially large language model capabilities such as Amazon Bedrock* Define reusable architecture patterns for model customization, prompt orchestration, retrieval pipelines, and agentic workflows* Design agentic AI systems incorporating tool use, workflow orchestration ...

Amazon Web Services Professional Services (ProServe) team is seeking a Senior Delivery Consultant specialising in AI/ML and generative AI to join our Data & AI practice. In this role, you will lead the technical direction and delivery of complex enterprise AI engagements, working across multiple workstreams and helping … objectives into executable technical plans.Preferred qualification - Ph.D. in computer science, machine learning, engineering, or related fields, or experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2- Experience building complex software systems that have been successfully delivered to customers, or experience in machine learning, data mining ...

dashboards, alerting, and MS Teams integrations—and reduce incidents via telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud guardrails … operations—incident triage, runbooks, and change management—with clear guardrails, auditability, and human-in-the-loop controls. Supporting AI/ML workloads at scale: SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes-based model serving. Policy-as-code (OPA) and compliance implementation across CIS, NIST, ISO 27001, with automated ...

production deployment and optimisation2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams4. Partner with customers to translate business challenges … your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that ...

## Technical Architect 8Apply: Office - Flexible: United Kingdom - London: Full time: Posted Today: End Date: October 9, 2026 (29 days left to apply): JR359492*To get the best candidate experience, please consider applying for a ...

Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it ...

improving the core infrastructure that powers Evoke’s AI and Machine Learning platforms* Developing expertise in AWS AI technologies, including services such as Amazon Bedrock and SageMaker* Providing technical support and operational ownership for Evoke’s core AI platforms and services* Contributing to platform reliability, observability, automation … experience in a similar Cloud, Platform, or Infrastructure Engineering role* Strong expertise in AWS cloud technologies, including AI and Machine Learning services such as Amazon Bedrock and SageMaker* Solid understanding of Agentic AI concepts and supporting technologies, including platforms such as AWS AgentCore* Strong knowledge of Kubernetes ...

Cloud platform to drive exponential value for our customers. We are scaling up our Solution and Delivery teams in the geography to handle Amazon Connect related contact centre solutions and deliveries, which is a key area of growth. We are looking for talented individuals who could be part … this journey, helping with consulting customers, carrying out projects, assessments and designing solutions to address customer problems. We are looking for Amazon Connect Solution Architect who designs, builds, and scales intelligent, cloud-based contact center solutions. Your responsibilities: Own the overall solution architecture for the Amazon Connect platform ...

from data prep to production serving. You will translate research decisions into production systems, evaluate representations against underwriting outcomes, and work with Python, PyTorch, SageMaker and Airflow in a hands-on, ownership-driven environment. #J-18808-Ljbffr ...

seeking a Principal Customer Success Specialist - Gen AI to transform how organizations plan, execute, and operate their businesses through adoption of Amazon Quick and AWS's generative AI platform. This is a senior individual contributor role within the AWS Specialists & Partners (ASP) Customer Success Center of Excellence, requiring … market impact across hundreds of enterprises globally. Key job responsibilitiesStrategic Customer Transformation- Design and lead comprehensive "business execution" transformation strategies for enterprise customers adopting Amazon Quick and AWS Gen AI services, addressing process redesign, organizational capabilities, change management, and value realization through integrated frameworks and executive alignment. Offering Development ...

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 … matching 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 ...

Manage the selection of an implementation partner for the wider data platform improvement programme. Coordinate projects covering Snowflake maturity, migration of existing models into Amazon SageMaker, Datadog improvements and the introduction of a data catalogue. Establish clear scopes, responsibilities and acceptance criteria for each delivery partner. Manage dependencies ...

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 ...

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 ...

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 ...