576 to 600 of 1,673 Remote AWS Jobs

modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through More ❯

modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through More ❯

Mentor team members and contribute to the architecture of critical software systems. Required Skills Technical Stack & Tools Languages/Frameworks: Java, Kotlin, Spring, Spring Boot, Golang Infrastructure & Cloud: Docker, AWS Databases: PostgreSQL Interfaces: REST APIs, gRPC Other Tools: ElasticSearch, Armeria (for high-performance microservices) Required Qualifications Experience: Minimum 8 years of professional software development experience, with demonstrated expertise in cloud More ❯

experience managing mission-critical systems within the DoD's air-gapped networks. Proficient in On-Premise and Cloud Environments: You have expertise in both DoD on-premise systems and AWS cloud environments. Systems Hardening Expertise: You have a solid understanding of Linux, containers, virtual machines, and Kubernetes, and are skilled in hardening these systems in accordance with RMF security controls More ❯

portfolio. Proficiency in Python, R, or Java. Familiarity with AI frameworks and libraries. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Experience with cloud platforms (Azure, AWS, or Google Cloud). Knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related More ❯

portfolio. Proficiency in Python, R, or Java. Familiarity with AI frameworks and libraries. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Experience with cloud platforms (Azure, AWS, or Google Cloud). Knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related More ❯

fields Knowledge of cloud infrastructure and large-scale cloud apps Experience with digital transformation and integration projects Ability to quickly understand client problems and present technical solutions Experience with AWS, GCP, Microservices, Java, and PostgreSQL About you Collaborative and self-motivated Focused on delivery and client success Effective communicator across roles and backgrounds Comfortable traveling nationally and internationally Interview process More ❯

development with design concepts and business goals. Agile Methodology : Employ agile practices for high-quality code production and iterative feedback. Cloud and DevOps Implementation: Manage applications in cloud environments (AWS/Azure) and enhance deployment efficiency with CI/CD pipelines. Design Skills Application: Contribute to user interface and experience aspects, focusing on intuitive AI interactions and data visualizations. Knowledge More ❯

/or traditional on-premises infrastructure Knowledge and hands on experience with supporting infrastructure on VMware, Hyper-V, Windows/Linux servers and/or on Microsoft Azure/AWS platforms Good understanding of core networking concepts Excellent verbal and written communication skills, capable of engaging effectively with customers and internal teams. Must be eligible for SC Clearance What we More ❯

Qualifications: Familiarity with Finance Accounting Transformation and Finance data migration. Experience supporting financial reconciliation, audit readiness, or compliance-driven data initiatives Exposure to cloud-based data platforms (e.g., Snowflake, AWS, Azure) Comfortable working in hybrid project delivery environments with Agile or waterfall elements JOB DESCRIPTION We are seeking a highly analytical and collaborative Senior Data Analyst to support a complex More ❯

time savings, and operational ROI. WHAT WE ARE LOOKING FOR Experience with workflow automation tools and concepts (e.g., RPA platforms, scripting, API integrations). Good understanding of Azure/AWS environments and SaaS tooling, particularly where automation interacts with APIs and microservices. Proven experience within a technical transformation function, implementing automation or process improvement initiatives. Excellent stakeholder engagement and communication More ❯

GDPR, GCP & HIPAA. Any exposure to the following would be a real bonus: Command Line, PHP, Python, CSS, HTML, XML, JSON, Javascript. Any experience with the following tools: Jira, AWS, Jira Service Management, Tableau, Slack, Gitlab, iOS & Android environments, MDM, Microsoft Office & GSuite. Nice to have Why uMotif? Unlimitedpaidholidayallowanceafterprobation ContributorySalarySacrificepension PrivateHealthInsuranceviaVitality Simplyhealthcashbackscheme 5xsalaryLifeInsurance Fullpayforthefirst13weeksofSMPduringmaternityleave Perkboxsubscription SalarySacrificeCyclescheme Remoteworking Homeofficeallowance WFH expense More ❯

in Azure AD/Entra ID. Administered, or supported Azure AD/Entra ID environments. Experience with Linux (Ubuntu & Red Hat) and Kubernetes. Experience with Cloud technologies like Azure, AWS and GCP. Awareness of identity, access management, and infosec product landscapes. Proven Customer Facing orientation. Fluent Hebrew and English, an additional language, is a big advantage. Excellent verbal and written More ❯

grasp of modern software delivery approaches, including agile, and experience with technologies such as Java, Spring Boot, React, and Node. Familiarity with infrastructure-as-code and cloud platforms like AWS is also important. A strong working knowledge of the OWASP Top Ten, common application security frameworks and best practices, and threat modelling techniques is critical. Hands-on Minimum Criteria Experience More ❯

grasp of modern software delivery approaches, including agile, and experience with technologies such as Java, Spring Boot, React, and Node. Familiarity with infrastructure-as-code and cloud platforms like AWS is also important. A strong working knowledge of the OWASP Top Ten, common application security frameworks and best practices, and threat modelling techniques is critical. Hands-on Minimum Criteria Experience More ❯

Engineering teams and explain impact clearly to non-technical stakeholders. Experience working in Agile environments, with strong organisational skills and attention to detail. Hands-on experience of cloud platforms (AWS, Azure). Experience in writing and improving processes based on feedback. Experience in integrating security tooling into CI/CD pipelines. Awareness of and/or experience with developer-focused More ❯

Engineering teams and explain impact clearly to non-technical stakeholders. Experience working in Agile environments, with strong organisational skills and attention to detail. Hands-on experience of cloud platforms (AWS, Azure). Experience in writing and improving processes based on feedback. Experience in integrating security tooling into CI/CD pipelines. Awareness of and/or experience with developer-focused More ❯

Engineering teams and explain impact clearly to non-technical stakeholders. Experience working in Agile environments, with strong organisational skills and attention to detail. Hands-on experience of cloud platforms (AWS, Azure). Experience in writing and improving processes based on feedback. Experience in integrating security tooling into CI/CD pipelines. Awareness of and/or experience with developer-focused More ❯

Engineering teams and explain impact clearly to non-technical stakeholders. Experience working in Agile environments, with strong organisational skills and attention to detail. Hands-on experience of cloud platforms (AWS, Azure). Experience in writing and improving processes based on feedback. Experience in integrating security tooling into CI/CD pipelines. Awareness of and/or experience with developer-focused More ❯

Engineering teams and explain impact clearly to non-technical stakeholders. Experience working in Agile environments, with strong organisational skills and attention to detail. Hands-on experience of cloud platforms (AWS, Azure). Experience in writing and improving processes based on feedback. Experience in integrating security tooling into CI/CD pipelines. Awareness of and/or experience with developer-focused More ❯

Engineering teams and explain impact clearly to non-technical stakeholders. Experience working in Agile environments, with strong organisational skills and attention to detail. Hands-on experience of cloud platforms (AWS, Azure). Experience in writing and improving processes based on feedback. Experience in integrating security tooling into CI/CD pipelines. Awareness of and/or experience with developer-focused More ❯

high-frequency, or sensor/time-series data (e.g. GPS, accelerometer), and making sense of it. Experience with digital signal processing or sensor physics. Experience with cloud platforms (e.g. AWS) and tooling like Docker, Kubernetes, or orchestration frameworks. Background in insurance, mobile data, or behaviour modelling. What's it like to work at Zego? Joining Zego is a career-defining More ❯

Engineering teams and explain impact clearly to non-technical stakeholders. Experience working in Agile environments, with strong organisational skills and attention to detail. Hands-on experience of cloud platforms (AWS, Azure). Experience in writing and improving processes based on feedback. Experience in integrating security tooling into CI/CD pipelines. Awareness of and/or experience with developer-focused More ❯

others develop. Nice to Have Experience leading applied ML projects end-to-end, with a focus on code quality, runtime efficiency, and measurable impact. Familiarity with cloud platforms (e.g. AWS), containerisation (Docker, Kubernetes), and orchestration tools. Experience mentoring and coaching other data scientists and setting technical direction in high-impact domains. Background in mobility, insurance, user behaviour modelling, or driver More ❯

deployment such as evening or weekends. Required Qualifications: Bachelor's degree 4 - 6+ years of related technical experience Understanding of cloud architectures and enabling tools and technologies, such as, AWS Cloud (GovCloud/C2S) Familiar with Amazon Web Managed Services (AWS) JavaScript, Angular, Typescript, Node.js, MongoDB, JSON, SQL, XML High experience level with back-end programming languages (Java/Spring … Working knowledge with Collaboration tools, such as, Jira and Confluence Preferred Qualifications: Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS/SNS, Kafka, AWS Lambda, NiFi, Working knowledge with public keys and digital certificates Experience with automated testing patterns and tools, such as, Mocha/Chai, JUnit, NUnit, TestNG Experience with DevOps environments Expertise More ❯