776 to 800 of 10,979 AWS Jobs

platforms.Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.Scale and maintain a managed AWS Databricks platform, and provides engineering and operational support for the platform to Application/Engineering teams.Drives reuse-first adoption of enterprise-authorized AI capabilities within … reinforce organization-level practices for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes.Extensive experience with AWS, Databricks, or Snowflake platform administration and engineering support is a MUST.Experience with monitoring tools, automation frameworks, and CI/CD pipelines.Proficient in Python application program development with ...

delivertechnology and transformationsolutions that drive customer success. Ourdeepexpertiseenables our customers to navigate the rapidlyevolving technology landscape. We foster strong partnerships withglobal technology leadersincluding Microsoft, AWS, Oracle, Red Hat,OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. Werean award-winning employer reflecting … employees are at the very heartof whatwe do: UK & Ireland's premier AWS, Microsoft & Oracle partner 3300+ strong, 350/£300m revenue business 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW Best Workplace for Wellbeing ...

delivertechnology and transformationsolutions that drive customer success. Ourdeepexpertiseenables our customers to navigate the rapidlyevolving technology landscape. We foster strong partnerships withglobal technology leadersincluding Microsoft, AWS, Oracle, Red Hat,OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. Werean award-winning employer reflecting … employees are at the very heartof whatwe do: UK & Ireland's premier AWS, Microsoft & Oracle partner 3300+ strong, €350/£300m revenue business 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW Best Workplace for Wellbeing ...

services, healthcare, public sector, or similar) is advantageous.Demonstrated ability to work collaboratively within multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least … MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model interpretability, fairness, bias mitigation ...

services, healthcare, public sector, or similar) is advantageous.Demonstrated ability to work collaboratively within multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least … MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model interpretability, fairness, bias mitigation ...

services, healthcare, public sector, or similar) is advantageous.Demonstrated ability to work collaboratively within multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least … MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model interpretability, fairness, bias mitigation ...

services, healthcare, public sector, or similar) is advantageous.Demonstrated ability to work collaboratively within multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least … MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model interpretability, fairness, bias mitigation ...

services, healthcare, public sector, or similar) is advantageous.Demonstrated ability to work collaboratively within multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least … MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model interpretability, fairness, bias mitigation ...

services, healthcare, public sector, or similar) is advantageous.Demonstrated ability to work collaboratively within multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least … MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model interpretability, fairness, bias mitigation ...

across frontend and backend development enough to lead by example and contribute to technical decisions. Experience with our core stack a Java Spring Boot, AWS, Kubernetes and Kafka back end, with a TypeScript/React front end. Experience designing and building services within a microservices or domain-driven architecture defining ...

Agile delivery environments.•Strong stakeholder and client engagement experience.•Strong expertise in Snowflake Administration and/or Confluent Kafka Platform.•Experience with Azure/AWS/GCP cloud platforms.•Good understanding of SCM tool like Github and CI/CD pipelines, and automation frameworks.•Experience with Kubernetes, containerization, and cloud ...

Python, Go, Java, C# or Bash. * Proven experience in incident management, troubleshooting and root cause analysis. * Strong observability and monitoring experience. * Experience with AWS, Azure or GCP. * Good understanding of operating systems, networking, cloud infrastructure and automation. * Experience with Infrastructure-as-Code. * Strong communication and technical leadership skills. Desirable Skills ...

opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Scale and maintain a managed AWS Databricks platform, and provides engineering and operational support for the platform to Application/Engineering teams. Drives reuse-first adoption of enterprise-authorized AI capabilities … reinforce organization-level practices for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes. Extensive experience with AWS, Databricks, or Snowflake platform administration and engineering support is a MUST. Experience with monitoring tools, automation frameworks, and CI/CD pipelines. Proficient in Python application ...

defence, utilities, government) Strong understanding of solution architecture principles, including conceptual, logical, and physical layers, components, interfaces, and non‐functional requirements Cloud expertise across AWS, Azure, or GCP, supported by associate/intermediate certification or higher Working knowledge of the software development lifecycle and Agile delivery methodologies Strong communication skills ...

with Python backend development (APIs, microservices, application frameworks). Proficiency with modern frontend frameworks (Angular preferred). Experience working with cloud platforms (GCP preferred, AWS/Azure also relevant). Containerisation & orchestration: Kubernetes, Docker. Strong CICD exposure: GitHub, Terraform, automated pipelines. Familiarity with SQL/NoSQL databases (e.g. Bigtable, Hive ...

proactive approach to security, reliability and continuous improvement. Essential qualifications: > You should have hands-on experience with at least one major cloud provider (AWS, Azure, GCP or Oracle Cloud) > Strong proficiency in CI/CD, Infrastructure as Code and containerisation (e.g. Docker, Kubernetes) > Proven ability to build and maintain automated ...

proactive approach to security, reliability and continuous improvement. Essential qualifications: You should have hands-on experience with at least one major cloud provider (AWS, Azure, GCP or Oracle Cloud) Strong proficiency in CI/CD, Infrastructure as Code and containerisation (e.g. Docker, Kubernetes) Proven ability to build and maintain automated ...

solutions using Java/Scala on large-scale datasetsDesign and build AI-enabled applications, including AI Agents and agentic workflowsWork across hybrid data ecosystems (AWS, Databricks, Kubernetes)Ensure code quality through unit testing, integration testing, and continuous validation practicesCollaborate with cross-functional teams to deliver end-to-end solutions aligned … containerization (Docker, Kubernetes/ECS/EKS), and Infrastructure as CodeExpertise in API design (REST, GraphQL) and integration patternsHands-on experience building applications on AWS or other public cloud platformsExperience with Generative AI systems, including: RAG (Retrieval-Augmented Generation) architectureAI orchestration frameworks (LangChain, LlamaIndex, etc.)LLM evaluation frameworks and responsible ...

from selecting the right model architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.Solution Evaluation: Implement frameworks … security best practices, and ethical guardrails to ensure safe, responsible, and compliant deployment of AI and Generative AI systems.Broad experience across major cloud platforms (AWS, Azure, GCP) with Generative AI services. Cloud-agnostic experience is preferred.Strong grasp of MLOps/LLMOps principles, including CI/CD for ML, model monitoring ...

from selecting the right model architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.Solution Evaluation: Implement frameworks … security best practices, and ethical guardrails to ensure safe, responsible, and compliant deployment of AI and Generative AI systems.Broad experience across major cloud platforms (AWS, Azure, GCP) with Generative AI services. Cloud-agnostic experience is preferred.Strong grasp of MLOps/LLMOps principles, including CI/CD for ML, model monitoring ...

from selecting the right model architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.Solution Evaluation: Implement frameworks … security best practices, and ethical guardrails to ensure safe, responsible, and compliant deployment of AI and Generative AI systems.Broad experience across major cloud platforms (AWS, Azure, GCP) with Generative AI services. Cloud-agnostic experience is preferred.Strong grasp of MLOps/LLMOps principles, including CI/CD for ML, model monitoring ...

from selecting the right model architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.Solution Evaluation: Implement frameworks … security best practices, and ethical guardrails to ensure safe, responsible, and compliant deployment of AI and Generative AI systems.Broad experience across major cloud platforms (AWS, Azure, GCP) with Generative AI services. Cloud-agnostic experience is preferred.Strong grasp of MLOps/LLMOps principles, including CI/CD for ML, model monitoring ...

from selecting the right model architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.Solution Evaluation: Implement frameworks … security best practices, and ethical guardrails to ensure safe, responsible, and compliant deployment of AI and Generative AI systems.Broad experience across major cloud platforms (AWS, Azure, GCP) with Generative AI services. Cloud-agnostic experience is preferred.Strong grasp of MLOps/LLMOps principles, including CI/CD for ML, model monitoring ...

expertise in containerization and orchestration using Docker and Kubernetes for scalable production systemsFamiliarity with distributed computing frameworks (e.g., Spark, Dask), cloud platforms (e.g., AWS, Azure, GCP), and analytics libraries (e.g., pandas, numpy, matplotlib)Exposure to DevOps, DataOps, and MLOps concepts and best practicesExperience with core technologies such as Python, PySpark … Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud services (AWS/GCP/Azure)Experience with Generative AI (GenAI) or agentic systems is a strong plusPrior client-facing or senior stakeholder management experience is beneficialExcellent time management and communication skills (verbal and written), with flexibility to adapt across ...

semantic search Narrative detection and clustering Multilingual text intelligence Large-scale data and model pipelines Model evaluation, observability and monitoring Production ML infrastructure on AWS The problems are often open-ended. You might be evaluating how reliably different models identify changes in a market narrative, improving entity resolution across millions … learning workflows using technologies such as Apache Airflow. Help improve CI/CD, automated testing, monitoring and reproducibility across our ML stack. Engineer on AWS Build and improve cloud infrastructure using services including S3, ECS/EKS, Lambda and Redshift. Automate infrastructure and deployment through tools such as GitHub Actions ...