526 to 550 of 772 Security+ Certification Jobs

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/ ...

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/ ...

technical problems in fast-paced environments. Work to agile best practices (Scrum, SAFe, Kanban) and support both client-facing and internal innovation initiatives. Cloud: AWS, Azure, GCP, Architecture Frameworks: TOGAF, Zachman, MODAF, Modelling: UML, ArchiMate, Ardoq, Ways of working: Agile, SAFe, Scrum, Kanban Hybrid working: typically 2+ days … problem-solving mindset, and comfort working in complex environments. Ability to collaborate across multiple stakeholder groups and communicate technical direction clearly. Certifications across cloud (AWS, Azure, GCP) or frameworks (TOGAF, SAFe, Agile) are highly beneficial. They welcome Solution Architects with experience across leading vendors including AWS, Azure ...

technical problems in fast-paced environments. Work to agile best practices (Scrum, SAFe, Kanban) and support both client-facing and internal innovation initiatives. Cloud: AWS, Azure, GCP, Architecture Frameworks: TOGAF, Zachman, MODAF, Modelling: UML, ArchiMate, Ardoq, Ways of working: Agile, SAFe, Scrum, Kanban Hybrid working: typically 2+ days … problem-solving mindset, and comfort working in complex environments. Ability to collaborate across multiple stakeholder groups and communicate technical direction clearly. Certifications across cloud (AWS, Azure, GCP) or frameworks (TOGAF, SAFe, Agile) are highly beneficial. They welcome Solution Architects with experience across leading vendors including AWS, Azure ...

transformation strategy. Youll lead a high-performing community of consultants, architects, and specialists delivering cutting-edge cloud, data, AI and application solutions across Azure, AWS, Google Cloud, private cloud, and modern application platforms. This is a role for someone who thrives on shaping strategy, developing people, influencing propositions … enhancing our service offerings and delivery frameworks across both nearshore and offshore teams. Lead, mentor, and grow a technical community through recruitment, skills development, certification, and resource planning. Support sales teams as a senior SMEshaping opportunities, attending customer meetings, and contributing to winning bids. Oversee delivery quality across ...

storytelling. Leadership and mentoring capability within cross-functional teams. Tech Stack Familiarity AI/Automation: Conversational AI platforms, LLMs, agentic AI, RPA tools. Cloud: AWS, Azure, or Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics and reporting tools. Preferred Experience & Certifications Background in Presales, Solutions Consulting, or Technical … customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension ...

storytelling. Leadership and mentoring capability within cross-functional teams. Tech Stack Familiarity AI/Automation: Conversational AI platforms, LLMs, agentic AI, RPA tools. Cloud: AWS, Azure, or Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics and reporting tools. Preferred Experience & Certifications Background in Presales, Solutions Consulting, or Technical … customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension ...

skills. Key Responsibilities: Design and implement data science models (predictive, prescriptive, and descriptive analytics) to solve complex business problems. Work across multi-cloud platforms (AWS, Azure, GCP) to build and deploy scalable machine learning solutions. Collaborate with stakeholders to translate business requirements into technical solutions. Lead data strategy … projects. Strong proficiency in Python, R, and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Expertise in multi-cloud environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data engineering principles, SQL, and distributed computing frameworks (Spark, Hadoop). Experience ...

skills. Key Responsibilities: Design and implement data science models (predictive, prescriptive, and descriptive analytics) to solve complex business problems. Work across multi-cloud platforms (AWS, Azure, GCP) to build and deploy scalable machine learning solutions. Collaborate with stakeholders to translate business requirements into technical solutions. Lead data strategy … projects. Strong proficiency in Python, R, and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Expertise in multi-cloud environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data engineering principles, SQL, and distributed computing frameworks (Spark, Hadoop). Experience ...

governance, security, and regulatory standards. Required Skills Strong experience in data architecture, ETL/ELT processes, and data modeling. Expertise in cloud platforms (Azure, AWS, GCP) and data migration tools (Azure Data Factory, Informatica, Talend, etc.). Proficiency in SQL, Python, and big data technologies (Spark, Hadoop). Knowledge … Qualifications Experience with modern data platforms (Snowflake, Databricks, Synapse). Familiarity with real-time data streaming (Kafka, Event Hub). Certifications in Azure/AWS/GCP Data Architect or related fields. Strong communication skills Experience of working across geographies. Benefits: Competitive salary and benefits package Culture focused ...

governance, security, and regulatory standards. Required Skills Strong experience in data architecture, ETL/ELT processes, and data modeling. Expertise in cloud platforms (Azure, AWS, GCP) and data migration tools (Azure Data Factory, Informatica, Talend, etc.). Proficiency in SQL, Python, and big data technologies (Spark, Hadoop). Knowledge … Qualifications Experience with modern data platforms (Snowflake, Databricks, Synapse). Familiarity with real-time data streaming (Kafka, Event Hub). Certifications in Azure/AWS/GCP Data Architect or related fields. Strong communication skills Experience of working across geographies. Benefits: Competitive salary and benefits package Culture focused ...

domains Data platform and engineering technologies and services such as Databricks, Snowflake, Palantir. Data services from major cloud providers such as Google Cloud, AWS, and Microsoft Azure. Designing and deploying robust, scalable, and secure cloud-based solutions (networking, security, storage, monitoring, scaling, disaster recovery/high availability … yourself apart: Proven ability to deliver enterprise-scale data and AI services that impact end-user experiences and business outcomes. Certified cloud credentials (e.g., AWS Certified Solutions Architect – Professional). Experience in leading teams and influencing cross-functional stakeholders in delivering production-grade data and AI solutions. What ...

domains Data platform and engineering technologies and services such as Databricks, Snowflake, Palantir. Data services from major cloud providers such as Google Cloud, AWS, and Microsoft Azure. Designing and deploying robust, scalable, and secure cloud-based solutions (networking, security, storage, monitoring, scaling, disaster recovery/high availability … yourself apart: Proven ability to deliver enterprise-scale data and AI services that impact end-user experiences and business outcomes. Certified cloud credentials (e.g., AWS Certified Solutions Architect – Professional). Experience in leading teams and influencing cross-functional stakeholders in delivering production-grade data and AI solutions. What ...

DERMS. Exposure to cybersecurity standards (NERC CIP, ISO 27001, SOC2). Cloud/hybrid deployment experience (Azure, AWS). Certifications such as ITIL, Security+, or utility-specific systems training. Scripting/automation skills (Python, Bash, PowerShell) for operational efficiency ...

AWS Cloud Architect – Global Financial Services Leeds (Hybrid, 2 days on-site) £80,000–£90,000 + 25% bonus + £6k car allowance Our client is a truly global financial services business with operations across Europe, Mexico, and multiple international hubs. They are expanding their Cloud Centre of Excellence … looking for a Lead AWS Cloud Architect to help shape the future of their cloud ecosystem. The Role You will take ownership of the design and evolution of enterprise-scale AWS platforms, setting architectural standards and guiding engineering teams across the organisation. This is a high-visibility role ...

client, a leading systematic hedge fund, is seeking an experienced cloud engineer (AWS) to join their infrastructure team in London. This is a new position to help lead the expansion of their cloud environment. This will involved contribution to the development of their quantitative research platform, data ingestion pipelines … post-trade systems. The successful individual will have previous experience with AWS and be an expert in Kubernetes. You will be responsible for designing, implementing and managing a scalable cloud infrastructure to support various business divisions. Requirements: 5+ years of experience in a similar role, with hands-on experience ...

client, a leading systematic hedge fund, is seeking an experienced cloud engineer (AWS) to join their infrastructure team in London. This is a new position to help lead the expansion of their cloud environment. This will involved contribution to the development of their quantitative research platform, data ingestion pipelines … post-trade systems. The successful individual will have previous experience with AWS and be an expert in Kubernetes. You will be responsible for designing, implementing and managing a scalable cloud infrastructure to support various business divisions. Requirements: 5+ years of experience in a similar role, with hands-on experience ...

client, a leading systematic hedge fund, is seeking an experienced cloud engineer (AWS) to join their infrastructure team in London. This is a new position to help lead the expansion of their cloud environment. This will involved contribution to the development of their quantitative research platform, data ingestion pipelines … post-trade systems. The successful individual will have previous experience with AWS and be an expert in Kubernetes. You will be responsible for designing, implementing and managing a scalable cloud infrastructure to support various business divisions. Requirements: 5+ years of experience in a similar role, with hands-on experience ...

production—and help shape best practices in security, automation, and cost-efficient AI deployment. Key Responsibilities Architect secure, scalable ML and GenAI systems using AWS services (SageMaker, EKS/Fargate, Lambda, Step Functions). Build CI/CD pipelines for ML models, agents, and GenAI applications. Deploy LLMs … Mentor junior engineers and promote engineering best practices. Key Requirements Essential 3+ years experience in MLOps/ML Engineering/AIOps. Strong expertise in AWS (SageMaker, EKS/Fargate, Lambda, Step Functions, S3). Proficient with Docker, Kubernetes , and IaC (Terraform or AWS CDK). Experience with MLflow ...

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 ...