26 to 48 of 48 AWS Certification Jobs in the South West

manage virtualisation environments across VMware, Hyper-V, KVM, and cloud-native platforms. Support migration projects from on-premises to private/public cloud platforms (AWS, Azure, GCP). Continuously monitor, optimise, and troubleshoot virtualised systems to ensure high performance and availability. Collaborate with infrastructure, cloud, and security teams … equivalent combination of education and experience. Strong knowledge of virtualisation technologies (e.g., VMware vSphere, Microsoft Hyper-V, KVM). Familiarity with public cloud platforms (AWS, Azure, GCP) and hybrid cloud integration. Good troubleshooting skills across compute, storage, and networking in virtualised environments. Proficiency in data analysis, monitoring, and performance ...

storage, monitoring, scaling, DR/HA) on one or more cloud platforms SW Engineering and DevSecOps Set yourself apart: Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty). Building PoCs to aid learning Experience of delivering production AI/ML services for scaled end user consumption What ...

storage, monitoring, scaling, DR/HA) on one or more cloud platforms SW Engineering and DevSecOps Set yourself apart: Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty). Building PoCs to aid learning Experience of delivering production AI/ML services for scaled end user consumption What ...

storage, monitoring, scaling, DR/HA) on one or more cloud platforms SW Engineering and DevSecOps Set yourself apart: Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty). Building PoCs to aid learning Experience of delivering production AI/ML services for scaled end user consumption What ...

2019+), Intune, Microsoft Cloud technologies, VMware ESXi, and ITIL Foundation certification. QUALIFICATIONS GCSE/A-Level education minimum. Cisco/Microsoft/CompTIA/AWS certifications or willingness to work towards them. If you are interested in the role, please send an application detailing proof of the above ...

Apache NiFi. Experience in the use of Atlassian Suite - Bitbucket, Jira, Confluence. Experience of Elasticsearch and Kibana. Advanced knowledge of Hibernate. Advanced knowledge of AWS Services such as EC2, EKS, Fargate, IAM, S3, Lambda. Experience of CI/CD software pipelines for Cloud deployments. Experience of developing software … prem workload to cloud. We would love to hear from you if you have any of the following Qualifications or Certifications: Oracle Java Certification. AWS Certification. ISTQB Certification. OSCP Certification. CCNA Certification. Lockheed Martin is committed to upholding principles of equal opportunity, fostering a work environment that is aligned ...

Experience of Apache NiFi. Experience in the use of Atlassian Suite - Bitbucket, Jira, Confluence. Experience of Elasticsearch and Kibana. Experience of Hibernate. Experience of AWS Services such as EC2, EKS, Fargate, IAM, S3, Lambda. Experience of CI/CD software pipelines for Cloud deployments. Desired Skills: Experience of developing … Primefaces). We would love to hear from you if you have any of the following Qualifications or Certifications: Oracle Java Certification. AWS Certification. ISTQB Certification. OSCP Certification. CCNA Certification. These would be useful but aren't strictly necessary to successful application. Lockheed Martin is committed to upholding principles ...

Experience of Apache NiFi. Experience in the use of Atlassian Suite - Bitbucket, Jira, Confluence. Experience of Elasticsearch and Kibana. Experience of Hibernate. Experience of AWS Services such as EC2, EKS, Fargate, IAM, S3, Lambda. Experience of CI/CD software pipelines for Cloud deployments. Desired Skills: Experience of developing … Primefaces). We would love to hear from you if you have any of the following Qualifications or Certifications: Oracle Java Certification. AWS Certification. ISTQB Certification. OSCP Certification. CCNA Certification. These would be useful but aren't strictly necessary to successful application. Lockheed Martin is committed to upholding principles ...

client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding … client needs. Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build ...

expertise in modern programming languages and frameworks such as C++, Golang, Java, JavaScript, .NET, Node.js, Python, Rust, along with experience working with cloud platforms AWS, Azure, GCP. You’ll have successfully led Agile project teams, evaluated customer business requirements, and delivered high-quality software solutions that make a real … values equality, encouraging teams and leaders to bring their best every day. Whether you’re exploring advanced software engineering patterns, gaining certifications like AWS Developer or Certified Scrum Master, or developing leadership skills through internal training, we’ll help you build the career you want. As your expertise grows ...

Expertise in: Security legislation (GDPR, PCI DSS, ICO) Frameworks (ISO 27001, NIST CSF, CIS Controls v8) HMG/NCSC policies and guidance Cloud security (AWS, Azure) Microservice architectures PKI, Cryptography, Privileged Access Management Certifications: SABSA, TOGAF, AWS/Azure Architect, CISSP, CISM (or working towards CIISEC/ ...

Expertise in: Security legislation (GDPR, PCI DSS, ICO) Frameworks (ISO 27001, NIST CSF, CIS Controls v8) HMG/NCSC policies and guidance Cloud security (AWS, Azure) Microservice architectures PKI, Cryptography, Privileged Access Management Certifications: SABSA, TOGAF, AWS/Azure Architect, CISSP, CISM (or working towards CIISEC/ ...

support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … management. Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … management. Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … management. Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … management. Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … management. Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

DevOps Engineer you will be in charge of designing and maintaining both cloud and physical infrastructure. For the cloud side, they use AWS and as part of the physical infrastructure, you will need to go to their datacentre from time to time. This role is ideal for a junior … highly varied role where you will get the opporunity to own and drive forward DevOps projects in this company. Some you the AWS services you will get to use include: EC2, DynamoDB, Elastic Beanstalk, Route 53, Lambda, Cloudfront, AWS Firewall Manager, Terraform, Certificate Manager, Cloudwatch, CloudTrail ...

payment technology are endless. You will be in charge of designing and maintaining both cloud and physical infrastructure. For the cloud side, they use AWS and as part of the physical infrastructure, you will need to go to their datacentre from time to time, working with Cisco and Juniper … highly varied role where you will get the opporunity to own and drive forward DevOps projects in this company. Some you the AWS services you will get to use include: EC2, DynamoDB, Elastic Beanstalk, Route 53, Lambda, Cloudfront, AWS Firewall Manager, Terraform, Certificate Manager, Cloudwatch, CloudTrail ...

development environments. What you’ll do: Monitor systems and respond to alerts to maintain high availability Manage network, server, and storage assets, including AWS VPC and EC2 Drive infrastructure upgrades and process improvements using cloud-native services Collaborate with developers, product owners, UX designers, and other stakeholders … agile, team-oriented environment that values pair programming, whiteboarding, and peer reviews What we’re looking for: AWS expertise (minimum 2 years managing secure, high-availability workloads) Proficiency with Infrastructure as Code tools (Terraform, Ansible) Strong Linux systems administration experience Familiarity with scripting, CI/CD pipelines, and monitoring ...

strong familiarity with the NumPy ecosystem. Industry Knowledge & Experience Desirable hands-on experience with leading AI frameworks (e.g. TensorFlow, PyTorch) Familiarity with cloud platforms (AWS, GCP, Azure) Experience working with AI/ML engineers, data scientists, and other data professionals Wider Requirements Passion for education, technology, and empowering others … through knowledge sharing Qualifications: Desirable degree in Mathematics or related field Desirable relevant cloud vendor (GCP, AWS, Azure) certifications What We'll Do For You! Down time Taking time for ourselves is so important these days which is why we dedicate some of our benefits to support your health ...

strong familiarity with the NumPy ecosystem. Industry Knowledge & Experience Desirable hands-on experience with leading AI frameworks (e.g. TensorFlow, PyTorch) Familiarity with cloud platforms (AWS, GCP, Azure) Experience working with AI/ML engineers, data scientists, and other data professionals Wider Requirements Passion for education, technology, and empowering others … through knowledge sharing Qualifications: Desirable degree in Mathematics or related field Desirable relevant cloud vendor (GCP, AWS, Azure) certifications What We'll Do For You! Down time Taking time for ourselves is so important these days which is why we dedicate some of our benefits to support your health ...

what will be assessed during the recruitment process. Person specification To be successful in this role you will need to have the following experience: AWS Certified Cloud Practitioner or equivalent experience. Expertise in integrating and separating data feeds to map, produce, transform, and test new data products … version control. Can use a range of coding tools and languages. Knowledge and understanding of a range of cloud-based tools and technologies including AWS, Azure and RDBMS and the role of data integration and data process-flow. Has a demonstrable understanding of how to expose data from systems ...