26 to 49 of 49 Amazon SageMaker Jobs in the UK excluding London

fluency and CI/CD discipline. Nice to have Practical LLM engineering: prompting, batch inference, and cost and throughput trade-offs across providers. SageMaker, Bedrock, or comparable managed ML tooling. Financial and equities domain knowledge: classification taxonomies, factor models, index construction. Valuable but learnable. Infrastructure as code ...

Genomics, digital pathology, structural biology or other high-volume scientific data modalities and formats. AWS CDK, Batch, ECS, EKS, S3, RDS or Postgres, Athena, SageMaker, Bedrock, or equivalent services. Scientific workflow and data orchestration frameworks such as Nextflow, Dagster, Airflow or similar. Platform security, privacy or governance controls ...

Release management (CI/CD) - Knowledge and Experience - desirable - AWS Databrew - AWS RDS/Redshift - AWS Macie - AWS CloudWatch - AWS Quick - AWS Sagemaker (Unified Studio and AI) - Power BI #J-18808-Ljbffr ...

Server etc. Excellent problem-solving and interpersonal skills. Preferred Qualifications: Experience with machine learning frameworks and tools such as Azure ML Studio, AWS Sagemaker etc. Knowledge of real-time data processing and stream analytics such as Apache Kafka, Azure Event Hubs or similar. Hands on experience with real-time ...

another businesses where price, demand and inventory interact dynamically. Snowflake and AWS experience, with exposure to AI or model-serving environments such as SageMaker or Snowflake Cortex. Customer data platforms, identity resolution, consent management, experimentation or feedback-loop design. Our client can offer a salary in the region ...

another businesses where price, demand and inventory interact dynamically. Snowflake and AWS experience, with exposure to AI or model-serving environments such as SageMaker or Snowflake Cortex. Customer data platforms, identity resolution, consent management, experimentation or feedback-loop design. Our client can offer a salary in the region ...

delivery experience and research We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB AI/ML architectural patterns and best practices e.g. data ...

proficiency in other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding packages. ...

/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/… DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent across the core services, for example: Storage & lakehouse: SQL, PostgreSQL, Cosmos, Blob, Data Lake, OneLake, Fabric Warehouse Processing & ETL: Fabric Data Factory, Data Factory CDC, Fabric/Synapse Spark, ADF, Synapse Pipelines, Fabric, dbt Data management ...

will work in an Agile team, applying TDD and CI/CD practices, and you will connect applications to AI services such as Bedrock, SageMaker and OpenAI while building event-driven data flows with Kafka, SQS and SNS. #J-18808-Ljbffr ...

quality controls in production and balancing innovation with risk, safety and regulatory alignment. Cloud Architecture: Strong understanding of AWS cloud architecture for AI workloads (SageMaker, Bedrock, MSK, EKS). Stakeholder Communication: Excellent communication skills, with the ability to present technical decisions clearly to senior business, product or regulatory stakeholders. ...

deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services … need exceptionally motivated people who are driven by learning and innovation. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services ...

production deployment and optimisation Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams Partner with customers to translate business … 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 ...

Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry‐leading language technology powering Rufus, our AI‐driven search and shopping assistant, helping customers with their shopping tasks at every step … 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 ...

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 ...

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 ...

Your responsibilities Own the overall solution architecture for the Amazon Connect platform, including Voice routing and contact flows, IVR design and call life cycle, Agent experience and operational model Lead and contribute to deep architectural discussions, ensuring solutions follow AWS Well-Architected Framework principles (security, reliability, scalability, performance efficiency … cost optimization). Define logical, physical, and integration architectures aligned to AWS best practices Design and govern Amazon Connect instances and environments Contact flows, queues, routing profiles, High-availability and multi-region design considerations Ensure scalability, performance, and service resilience are Embedded into the solution design Define integration patterns ...

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 ...

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 ...

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 ...

design and operate scalable AI infrastructure. You will own reliability, performance, and cost-efficiency of the LLM inference platform end-to-end, deploying on Amazon EKS, SageMaker, and on-prem GPU clusters with strong observability. You will lead incident response, capacity planning, and continuous improvement while collaborating across ...

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 ...

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 ...

Senior Solutions Architect (AI/GenAI Specialism) for UK-based, fully remote engagement. You will lead AI/GenAI engagements, design solutions on Amazon Bedrock and SageMaker, and own the pre-sales cycle from scoping calls to SOW writing. You will apply broad AWS delivery experience to diverse ...