276 to 300 of 12,952 SaaS Jobs in England

to assist with debugging issues. Experience using Infrastructure as Code tools for provisioning infrastructure such as Terraform, Cloudformation, or similar. Experience designing tooling to simplify the operational management of SaaS/PaaS systems. Familiarity with building flexible and testable Infrastructure as Code modules. Empathy to support the needs of software engineers. Benefits that Benefit You Competitive Base Salary Annual Bonus More ❯

and system support. Previous experience in a specific Cloud based role around Azure stack and Office 365 focussed role. Azure architecture experience together with practical implementation skills Azure IaaS, SaaS and PaaS Ancillary applications (lists, planner, etc.) M365 Apps for Enterprise Azure, M365 tenant and cost centre monitoring Security & Compliance centre PowerShell and Bicep scripting (Infrastructure as code) skills required More ❯

using Python and Jupyter Notebooks. Build AWS tools to automate POC processes. What We’re Looking For on Your CV Self-starter with 6+ years of relevant experience in SaaS analysis or consulting. Experience selling to C/VP level buyers. Analysis experience across industries like Contact Center, Healthcare, Financial Services, etc. Strong professional, sales, and technical skills supporting enterprise … and inside sales. Ability to explain technical SaaS aspects, including security and APIs. Excellent communication skills for customer interactions. Functional sales experience applicable across sales areas. Flexibility to handle various system tasks. Willingness to travel (up to 25%). Curiosity and eagerness to learn and teach. 2-5 years in Data Engineering, Data Analysis, or related roles. 3-5 years More ❯

architectural documentation, operational procedures, and reference implementations Required Experience: • 5+ years of hands-on experience architecting and delivering cloud solutions in secure, complex environments • Strong knowledge of IaaS, PaaS, SaaS, and Infrastructure as Code (e.g., Terraform, Ansible, ARM, CloudFormation) • Familiarity with cloud governance, security frameworks, and regulatory standards (e.g., NCSC, CIS, ISO 27001) • Demonstrated success in designing enterprise-scale cloud More ❯

UK national program in collaboration with key partners, designed to transform and future-proof the central government’s workforce. By leveraging cutting-edge technology, strategic partnerships, and a comprehensive SaaS-based platform, this program will create an advanced, candidate-centric experience tailored to meet tomorrow’s public sector skill demands. This high-impact initiative offers a unique opportunity to join More ❯

United Kingdom 1 day ago FX Software Engineer - C# .Net Multithreading London, England, United Kingdom 6 days ago London, England, United Kingdom 3 weeks ago Full Stack .NET Developer - SaaS - Woking Hybrid City Of London, England, United Kingdom 1 month ago Dynamics 365 CRM Solutions Analyst - Hybrid 2 Days Surbiton, England, United Kingdom 2 weeks ago Microsoft Dynamics 365 (Finance More ❯

of security and governance principles. Tools: Proficiency in PowerPoint, Tableau, and Power BI. Cloud Services: Strong understanding of Azure or AWS, Infrastructure as Code (IaC), and cloud services (IaaS, SaaS, PaaS). Frameworks: Understanding of Well Architected frameworks, security principles, and Agile/Waterfall project lifecycle. Database Knowledge: Proficiency in SQL and NoSQL databases. Design & Implementation: Experience with three or More ❯

microservice architecture in Azure and Kubernetes. What you'll be doing: We are seeking a Product Owner to join our team. The ideal candidate will have a background in SaaS product development, with a passion for the Media and Advertising sectors. You will work closely with cross-functional teams to define and execute the product vision, ensuring our software meets … key performance indicators (KPIs) to measure product success. Analyze user data and feedback to iterate and enhance the product. What you'll need: Has had success in delivering a SaaS-based project management solution as a Product Owner Certified Agile Product Owner. Understanding of the Media and Advertising industry. Proficient in Agile methodologies (Scrum, Kanban). Excellent communication and interpersonal More ❯

Learning Engineer, you’ll play a key role in developing and integrating cutting-edge AI solutions—including LLMs and AI agents —into our products and operations at a leading SaaS company. You’ll collaborate closely with product and engineering teams to deliver innovative, high-impact systems that push the boundaries of AI in rebate management. This is a highly collaborative More ❯

with: Proven experience of working as an Application Architect delivering successful greenfield and migration projects in a product orientated organisation. Experience in designing and deploying products utilising vendor-hosted SaaS platforms and Azure PaaS resources. Proficiency in integration tools and technologies (eg, APIs, ESBs, iPaaS) and familiarity with cloud and hybrid architectures. Knowledge of security, compliance, and data governance best More ❯

with: Proven experience of working as an Application Architect delivering successful greenfield and migration projects in a product orientated organisation. Experience in designing and deploying products utilising vendor-hosted SaaS platforms and Azure PaaS resources. Proficiency in integration tools and technologies (eg, APIs, ESBs, iPaaS) and familiarity with cloud and hybrid architectures. Knowledge of security, compliance, and data governance best More ❯

with: Proven experience of working as an Application Architect delivering successful greenfield and migration projects in a product orientated organisation. Experience in designing and deploying products utilising vendor-hosted SaaS platforms and Azure PaaS resources. Proficiency in integration tools and technologies (eg, APIs, ESBs, iPaaS) and familiarity with cloud and hybrid architectures. Knowledge of security, compliance, and data governance best More ❯

virtual world, and have a genuine interest in working for a high-growth company in an exciting industry. Industry: Previous experience in marketing technology products, a startup, or a SaaS company would be a benefit. Curiosity: You understand new trends in technology and the evolving relationship between brands and their consumers. We want our team to be enthusiastic about the More ❯

Requirements: 7+ years of hands-on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid More ❯

Requirements: 7+ years of hands-on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid More ❯

Requirements: 7+ years of hands-on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid More ❯

Requirements: 7+ years of hands-on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid More ❯

Requirements: 7+ years of hands-on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid More ❯

Requirements: 7+ years of hands-on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid More ❯

Requirements: 7+ years of hands-on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid More ❯

Requirements: 7+ years of hands-on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid More ❯

Requirements: 7+ years of hands-on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid More ❯

Requirements: 7+ years of hands-on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid More ❯

Requirements: 7+ years of hands-on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid More ❯

Requirements: 7+ years of hands-on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid More ❯