826 to 850 of 2,996 AWS Jobs in England

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

AWS Cloud Engineer | £500 - £600 Outside | 6 months initial | Hybrid London We are working with an up-and-coming Media business to help kickstart their in-house cloud operations, my client is seeking a strong AWS Cloud engineer to come in and build, develop and maintain their existing cloud platform. … days per week onsite in London and offers a daily rate of £500 - £600 per day Outside IR35. Key Requirements: Proven track record delivering AWS Cloud Solutions at Mid-Senior Level Strong skills in AWS, AWS Glue, Lambda, API Gateway Previous experience with SQL, Snowflake, Gitlab Runners. Willingness to travel ...

AWS Solution Architect £70-90,000 GBP bonus Hybrid WORKING Location: Manchester, North West - United Kingdom Type: Permanent AWS Solution Architect (Active SC Required) Location: London/Manchester/Leeds (hybrid & flexible working) Contract: Permanent Clearance: Active SC required (no sponsorship available) We are looking for an experienced AWS Solution … scale cloud migration and cloud-native transformation initiatives. This is a customer-facing, hands-on architecture role where you will define, design, and assure AWS solutions across complex, multi-account environments. You will work closely with engineering teams and stakeholders to shape cloud adoption strategies, define migration patterns, and ensure ...

products Oracle Database technologies SQL database technologies Microfocus Cobol and C/C++ IT Business Continuity and Disaster Recovery technologies Infrastructure cloud provision within AWS, Azure and Google Person Specification Effective communication, engagement and influencing skills Ability to effectively represent YBSG through maintaining collaborative relationships Ability to work within agreed ...

AWSArchitect-London,BelfastorManchester Weareseekingaseasoned AWSCloudArchitect toplayapivotalroleinmyclientscustomerdigitaltransformation.Youwillberesponsibleforelicitingrequirementsforcloud-nativearchitectures,definingreusablepatterns,andensuringthesuccessfulmigrationofcriticalsystemstoAWSforanorganizationcentralto UKNationalSecurity . Inthisrole,youwon'tjustmovedata;youwillshapethestandards,automation,andinfrastructure-as-code(IaC)practicesthatwilldefinethefutureofourclient'scloudecosystem. WhatYourDaysWillLookLike Asthetechnicalleadformigrationenablement,youwillactasthebridgebetweenhigh-levelstrategyandhands-onengineering. TechnicalLeadership: Taketheleadonmigrationenablement,drivingcollaborationacrossdevelopmentteamstodeliverservicesusingcommoncode,standards,andartifacts. ArchitectureDesign: DefineanddocumentbaselineandtargetAWSarchitectures,roadmaps ...

considerations Experience with MySQL or Microsoft SQL Server Desirable Middleware or integration-heavy background Experience with Varnish, Elasticsearch/OpenSearch Magento certification Familiarity with AWS or Cloudflare Knowledge of ecommerce infrastructure (servers, databases, CMS, web apps) What You’ll Get Real ownership of a complex ecommerce platform Autonomy to improve ...

design, management, and associated technologies (SQL Server). Agile software development methodologies. Web Services, REST, JSON. Knowledge of cloud platforms and services (Azure, 365, AWS). The company have an excellent reputation within their sector, and have experienced 14 consecutive years of growth, posting record revenues for the last financial ...

government or wider public-sector experience. Knowledge of UPRN/USRN, INSPIRE regulations, BS7666 and national geospatial standards. Cloud-based GIS hosting experience (Azure, AWS, ESRI Cloud). Integration with asset/estate/plan-based or highways systems. Spatial visualisation in Power BI/Tableau. Version control ...