126 to 150 of 187 Remote Deployment Automation Jobs

who thrive at the intersection of disciplined software development and modern AI applications. You should be comfortable working across the full lifecycle of a productfrom ideation and architecture to deployment and automationwhile navigating ambiguity and driving toward execution. Strong systems thinking, ownership mindset, and the ability to ship value fast are essential. Job Responsibilities Design, develop, and maintain production … solutions that solve high-priority business problems. Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications. Champion automation in workflowsfrom data management ingestion and preprocessing to evaluation, to model integration and deployment. Collaborate with data scientists, product managers, and other engineers to ensure end-to-end delivery More ❯

who thrive at the intersection of disciplined software development and modern AI applications. You should be comfortable working across the full lifecycle of a productfrom ideation and architecture to deployment and automationwhile navigating ambiguity and driving toward execution. Strong systems thinking, ownership mindset, and the ability to ship value fast are essential. Job Responsibilities Design, develop, and maintain production … solutions that solve high-priority business problems. Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications. Champion automation in workflowsfrom data management ingestion and preprocessing to evaluation, to model integration and deployment. Collaborate with data scientists, product managers, and other engineers to ensure end-to-end delivery More ❯

Overview At Engine by Starling, we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a More ❯

Required Skills and Experience Proven experience working with all of • Strong Microsoft C#.net knowledge (mainly backend development) with few years of commercial .net development experience Containerized application development and deployment Strong database experience SQL Server and analytical databases Good development practices such as test automation, IOC, SOLID principles, logging and monitoring. Desirable Skills and Experience • Experience with Clickhouse … Experience working with open data formats such as parquet Automated continuous integration pipelines including automated deployment Agile development (Scrum preferred) Azure Dev-Ops (Team Foundation Server) for continuous integration, automated test execution and source code management (GIT) Authentication/OAUTH2 If you are interested to learn more, please send your CV for immediate consideration. More ❯

Required Skills and Experience Proven experience working with all of • Strong Microsoft C#.net knowledge (mainly backend development) with few years of commercial .net development experience Containerized application development and deployment Strong database experience SQL Server and analytical databases Good development practices such as test automation, IOC, SOLID principles, logging and monitoring. Desirable Skills and Experience • Experience with Clickhouse … Experience working with open data formats such as parquet Automated continuous integration pipelines including automated deployment Agile development (Scrum preferred) Azure Dev-Ops (Team Foundation Server) for continuous integration, automated test execution and source code management (GIT) Authentication/OAUTH2 If you are interested to learn more, please send your CV for immediate consideration. More ❯

Endpoint. Windows Autopilot & Endpoint Analytics – Enhance onboarding and user experience. Patch Management & Compliance Reporting – Maintain security and regulatory compliance. Experience & Knowledge Proven experience with Infrastructure as Code and modern deployment technologies. Strong background in technical documentation, strategy, and solution design. Experience integrating security products into complex environments. Familiarity with Zero Trust Network Access solutions (e.g., Zscaler – Advantage). Knowledge … of proxy networks, Zscaler routing, and Meraki (Advantage). Experience supporting large-scale enterprise cloud environments. Advanced knowledge of Microsoft Intune and automated deployment techniques (Advantage). More ❯

Job Title: AI Project Manager Location: Manchester, 2x a week An exciting opportunity has arisen for an experienced Senior Project Manager to lead a portfolio of AI and intelligent automation initiatives within a forward-thinking fiancial services organisation. This is a chance to deliver cutting-edge, high-impact transformation projects, harnessing the power of AI, data, and automation to drive operational efficiency, enhance customer experience, and enable smarter decision-making across the business. Senior Project Manager - AI Responsibilities: Lead the planning and delivery of AI and automation projects from concept through to implementation and adoption. Work closely with data scientists, engineers, and business stakeholders to define AI use cases, project scope, and measurable success criteria. Oversee … delivery of initiatives such as machine learning model deployment, process automation, chatbots, or predictive analytics solutions. Ensure project governance, reporting, and documentation align with internal frameworks and regulatory standards. Manage risks, issues, and dependencies across multiple AI workstreams. Build strong partnerships with technology, data, and business change teams to ensure alignment and delivery success. Drive user engagement and More ❯

Job Title: AI Project Manager Location: Manchester, 2x a week An exciting opportunity has arisen for an experienced Senior Project Manager to lead a portfolio of AI and intelligent automation initiatives within a forward-thinking fiancial services organisation. This is a chance to deliver cutting-edge, high-impact transformation projects, harnessing the power of AI, data, and automation to drive operational efficiency, enhance customer experience, and enable smarter decision-making across the business. Senior Project Manager - AI Responsibilities: Lead the planning and delivery of AI and automation projects from concept through to implementation and adoption. Work closely with data scientists, engineers, and business stakeholders to define AI use cases, project scope, and measurable success criteria. Oversee … delivery of initiatives such as machine learning model deployment, process automation, chatbots, or predictive analytics solutions. Ensure project governance, reporting, and documentation align with internal frameworks and regulatory standards. Manage risks, issues, and dependencies across multiple AI workstreams. Build strong partnerships with technology, data, and business change teams to ensure alignment and delivery success. Drive user engagement and More ❯

Job Title: AI Project Manager Location: Manchester, 2x a week An exciting opportunity has arisen for an experienced Senior Project Manager to lead a portfolio of AI and intelligent automation initiatives within a forward-thinking fiancial services organisation. This is a chance to deliver cutting-edge, high-impact transformation projects, harnessing the power of AI, data, and automation to drive operational efficiency, enhance customer experience, and enable smarter decision-making across the business. Senior Project Manager - AI Responsibilities: Lead the planning and delivery of AI and automation projects from concept through to implementation and adoption. Work closely with data scientists, engineers, and business stakeholders to define AI use cases, project scope, and measurable success criteria. Oversee … delivery of initiatives such as machine learning model deployment, process automation, chatbots, or predictive analytics solutions. Ensure project governance, reporting, and documentation align with internal frameworks and regulatory standards. Manage risks, issues, and dependencies across multiple AI workstreams. Build strong partnerships with technology, data, and business change teams to ensure alignment and delivery success. Drive user engagement and More ❯

closely with leading researchers and product strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive … end to end ownership from ideation to deployment, performance and scaling • Mentor future hires and define scalable engineering culture, processes and tooling Candidate Profile • Proven track record (five plus years) in engineering roles involving scalable, machine learning intensive systems whether via start ups or technology critical environments • Deep familiarity with large scale model training and production deployment, especially More ❯

closely with leading researchers and product strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive … end to end ownership from ideation to deployment, performance and scaling • Mentor future hires and define scalable engineering culture, processes and tooling Candidate Profile • Proven track record (five plus years) in engineering roles involving scalable, machine learning intensive systems whether via start ups or technology critical environments • Deep familiarity with large scale model training and production deployment, especially More ❯

closely with leading researchers and product strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive … end to end ownership from ideation to deployment, performance and scaling • Mentor future hires and define scalable engineering culture, processes and tooling Candidate Profile • Proven track record (five plus years) in engineering roles involving scalable, machine learning intensive systems whether via start ups or technology critical environments • Deep familiarity with large scale model training and production deployment, especially More ❯

closely with leading researchers and product strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive … end to end ownership from ideation to deployment, performance and scaling • Mentor future hires and define scalable engineering culture, processes and tooling Candidate Profile • Proven track record (five plus years) in engineering roles involving scalable, machine learning intensive systems whether via start ups or technology critical environments • Deep familiarity with large scale model training and production deployment, especially More ❯

closely with leading researchers and product strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive … end to end ownership from ideation to deployment, performance and scaling • Mentor future hires and define scalable engineering culture, processes and tooling Candidate Profile • Proven track record (five plus years) in engineering roles involving scalable, machine learning intensive systems whether via start ups or technology critical environments • Deep familiarity with large scale model training and production deployment, especially More ❯

technologies, including servers, storage, networks, containers, middleware, databases, and virtualization solutions. This role is critical in ensuring high availability, performance, and security of DXCs infrastructure while supporting cloud migration, automation, and modernization initiatives. This role blends deep technical expertise with operational leadership, supporting enterprise-grade virtualization, cloud, and server platforms. Youll manage complex project deployments, drive automation, and … Key Responsibilities Design, deploy, configure, and optimize virtualization technologies such as VMware, VCF 5.x & higher. Deploy and Configure VMware Site Recovery Manager (SRM) and Aria Suite tools (vRealize Operations, Automation, Log Insight, NSX) Collaborate with cross-functional teams to design scalable, secure, and cost-effective cloud solutions. Monitor, troubleshoot, and resolve infrastructure issues across storage, networking,and compute environments. … Implement automation and Infrastructure-as-Code (IaC) practices using tools like Ansible or PowerShell. Document system design (HLD/LLD), configurations, policies, and procedures for future reference and audits. Provide technical guidance and support to other IT teams as needed. Apply deep technical knowledge and critical thinking to address complex infrastructure-related problems Required Skills & Qualifications 6+ years of More ❯

technologies, including servers, storage, networks, containers, middleware, databases, and virtualization solutions. This role is critical in ensuring high availability, performance, and security of DXCs infrastructure while supporting cloud migration, automation, and modernization initiatives. This role blends deep technical expertise with operational leadership, supporting enterprise-grade virtualization, cloud, and server platforms. Youll manage complex project deployments, drive automation, and … Key Responsibilities Design, deploy, configure, and optimize virtualization technologies such as VMware, VCF 5.x & higher. Deploy and Configure VMware Site Recovery Manager (SRM) and Aria Suite tools (vRealize Operations, Automation, Log Insight, NSX) Collaborate with cross-functional teams to design scalable, secure, and cost-effective cloud solutions. Monitor, troubleshoot, and resolve infrastructure issues across storage, networking,and compute environments. … Implement automation and Infrastructure-as-Code (IaC) practices using tools like Ansible or PowerShell. Document system design (HLD/LLD), configurations, policies, and procedures for future reference and audits. Provide technical guidance and support to other IT teams as needed. Apply deep technical knowledge and critical thinking to address complex infrastructure-related problems Required Skills & Qualifications 6+ years of More ❯

and food security to climate and clean energy. They're now hiring a Senior DevSecOps Engineer to help build and secure this cloud-first data platform. You'll drive automation, embed security, and collaborate across engineering, data, and bioinformatics teams to deliver scalable, reliable infrastructure. What you'll do Design and maintain secure cloud infrastructure (Oracle Cloud Infrastructure). … ll bring Strong cloud experience (ideally OCI ). Industry experience in the pharma space Hands-on with Terraform , Docker , Kubernetes , and Git . Solid CI/CD and security automation skills. Knowledge of cloud security (IAM, encryption, network controls). Bonus: Cloud certifications, experience with OWASP ZAP or Burp Suite. You'll be part of a forward-thinking, impact More ❯

🚀 Hiring: Engineering Manager – Tech Leadership | Microservices | CI/CD | £600–£650/day (Inside IR35) | Hybrid | Immediate Start We’re currently on the lookout for a hands-on Engineering Manager to join a high-performing team working on a cutting More ❯

🚀 Hiring: Engineering Manager – Tech Leadership | Microservices | CI/CD | £600–£650/day (Inside IR35) | Hybrid | Immediate Start We’re currently on the lookout for a hands-on Engineering Manager to join a high-performing team working on a cutting More ❯

🚀 Hiring: Engineering Manager – Tech Leadership | Microservices | CI/CD | £600–£650/day (Inside IR35) | Hybrid | Immediate Start We’re currently on the lookout for a hands-on Engineering Manager to join a high-performing team working on a cutting More ❯

🚀 Hiring: Engineering Manager – Tech Leadership | Microservices | CI/CD | £600–£650/day (Inside IR35) | Hybrid | Immediate Start We’re currently on the lookout for a hands-on Engineering Manager to join a high-performing team working on a cutting More ❯

🚀 Hiring: Engineering Manager – Tech Leadership | Microservices | CI/CD | £600–£650/day (Inside IR35) | Hybrid | Immediate Start We’re currently on the lookout for a hands-on Engineering Manager to join a high-performing team working on a cutting More ❯

validate embedded software for Runtime Assurance platforms. Ensure compliance with safety-critical standards such as DO-178C, ISO 26262, and IEC 61508. Manage CI/CD pipelines and automated deployment across Software-in-the-Loop and Hardware-in-the-Loop systems. Develop performance and integration testing across simulation environments. Conduct code reviews, optimisation, and maintain high-quality software standards. … Essential Experience: Degree in Computer Science, Electrical Engineering, or similar with embedded systems/software testing focus. Experience with CI/CD tools (e.g. Jenkins, CloudBuild, AWS CodePipeline) and automation (bash, Python). Proficient with git, pytest, gtest, and embedded software testing for safety-critical systems. Strong understanding of Agile, Continuous Integration, and Test-Driven Development. Knowledge of test … strategies, verification processes, and compliance with safety standards. Experience with static and dynamic code analysis tools. Desirable: Additional experience in infrastructure automation or performance optimisation. Familiarity with industry-standard code analysis and compliance tools. More ❯

validate embedded software for Runtime Assurance platforms. Ensure compliance with safety-critical standards such as DO-178C, ISO 26262, and IEC 61508. Manage CI/CD pipelines and automated deployment across Software-in-the-Loop and Hardware-in-the-Loop systems. Develop performance and integration testing across simulation environments. Conduct code reviews, optimisation, and maintain high-quality software standards. … Essential Experience: Degree in Computer Science, Electrical Engineering, or similar with embedded systems/software testing focus. Experience with CI/CD tools (e.g. Jenkins, CloudBuild, AWS CodePipeline) and automation (bash, Python). Proficient with git, pytest, gtest, and embedded software testing for safety-critical systems. Strong understanding of Agile, Continuous Integration, and Test-Driven Development. Knowledge of test … strategies, verification processes, and compliance with safety standards. Experience with static and dynamic code analysis tools. Desirable: Additional experience in infrastructure automation or performance optimisation. Familiarity with industry-standard code analysis and compliance tools. More ❯

validate embedded software for Runtime Assurance platforms. Ensure compliance with safety-critical standards such as DO-178C, ISO 26262, and IEC 61508. Manage CI/CD pipelines and automated deployment across Software-in-the-Loop and Hardware-in-the-Loop systems. Develop performance and integration testing across simulation environments. Conduct code reviews, optimisation, and maintain high-quality software standards. … Essential Experience: Degree in Computer Science, Electrical Engineering, or similar with embedded systems/software testing focus. Experience with CI/CD tools (e.g. Jenkins, CloudBuild, AWS CodePipeline) and automation (bash, Python). Proficient with git, pytest, gtest, and embedded software testing for safety-critical systems. Strong understanding of Agile, Continuous Integration, and Test-Driven Development. Knowledge of test … strategies, verification processes, and compliance with safety standards. Experience with static and dynamic code analysis tools. Desirable: Additional experience in infrastructure automation or performance optimisation. Familiarity with industry-standard code analysis and compliance tools. More ❯