1 to 25 of 1,371 SaaS Jobs in London

translate technical complexity into business context. You enjoy guiding direction while staying hands-on when needed. Nice to haves Experience leading technical discovery or architecture definition in a scaling SaaS or fintech environment. Familiarity with event-driven or streaming architectures (Kafka, Apache Flink, etc.). Practical exposure to AI/LLM orchestration frameworks or fine-tuning workflows. Experience designing developer More ❯

Expert certification on a cloud platform. Experience with Hightouch, Bloomreach, and Microsoft Dynamics CRM. Certification in CRM or CDP platforms. Experience designing solutions on Microsoft Cloud and integrating with SaaS products. Experience in football, sports associations or stadium technology environments. Experience working with offshore development teams. Knowledge of DevOps and modern development best practices. What's in it for you More ❯

and engagement through actionable analytics. Asset Management: Developing investment infrastructure and automated risk management systems. Public Sector: Trusted by government departments for fraud analytics, predictive maintenance, and operations optimisation. SaaS & Manufacturing: Driving technological transformation and efficiency across verticals. The Role In this role, you'll be responsible for designing, developing, and maintaining scalable AI systems using machine learning and data More ❯

end user’s device and Sizewell C various offices and sites. Configuration of Data Lake storage, ensuring security hardening. Compliance of backup and restoration. Integration of IAAS, PAAS and SAAS application with Microsoft Entra ID (AAD) for secure access through SAML SSO. Maintain the lifecycle of Enterprise Application and App registration certificate. Closely working With Security Architect and Team to More ❯

end user’s device and Sizewell C various offices and sites. Configuration of Data Lake storage, ensuring security hardening. Compliance of backup and restoration. Integration of IAAS, PAAS and SAAS application with Microsoft Entra ID (AAD) for secure access through SAML SSO. Maintain the lifecycle of Enterprise Application and App registration certificate. Closely working With Security Architect and Team to More ❯

automation and Infrastructure as Code, and a passion for continuous improvement across all aspects of cloud operations. Key Responsibilities Cloud Infrastructure Operations: Manage and monitor daily operations across Azure SaaS, IaaS, and PaaS environments. FinOps & Cost Optimisation: Implement best practices to monitor usage, optimise costs, and forecast spend, aligning cloud consumption with business goals. Disaster Recovery & Backup: Design and test More ❯

automation and Infrastructure as Code, and a passion for continuous improvement across all aspects of cloud operations. Key Responsibilities Cloud Infrastructure Operations: Manage and monitor daily operations across Azure SaaS, IaaS, and PaaS environments. FinOps & Cost Optimisation: Implement best practices to monitor usage, optimise costs, and forecast spend, aligning cloud consumption with business goals. Disaster Recovery & Backup: Design and test More ❯

automation and Infrastructure as Code, and a passion for continuous improvement across all aspects of cloud operations. Key Responsibilities Cloud Infrastructure Operations: Manage and monitor daily operations across Azure SaaS, IaaS, and PaaS environments. FinOps & Cost Optimisation: Implement best practices to monitor usage, optimise costs, and forecast spend, aligning cloud consumption with business goals. Disaster Recovery & Backup: Design and test More ❯

automation and Infrastructure as Code, and a passion for continuous improvement across all aspects of cloud operations. Key Responsibilities Cloud Infrastructure Operations: Manage and monitor daily operations across Azure SaaS, IaaS, and PaaS environments. FinOps & Cost Optimisation: Implement best practices to monitor usage, optimise costs, and forecast spend, aligning cloud consumption with business goals. Disaster Recovery & Backup: Design and test More ❯

automation and Infrastructure as Code, and a passion for continuous improvement across all aspects of cloud operations. Key Responsibilities Cloud Infrastructure Operations: Manage and monitor daily operations across Azure SaaS, IaaS, and PaaS environments. FinOps & Cost Optimisation: Implement best practices to monitor usage, optimise costs, and forecast spend, aligning cloud consumption with business goals. Disaster Recovery & Backup: Design and test More ❯

automation and Infrastructure as Code, and a passion for continuous improvement across all aspects of cloud operations. Key Responsibilities Cloud Infrastructure Operations: Manage and monitor daily operations across Azure SaaS, IaaS, and PaaS environments. FinOps & Cost Optimisation: Implement best practices to monitor usage, optimise costs, and forecast spend, aligning cloud consumption with business goals. Disaster Recovery & Backup: Design and test More ❯

AI integration. Expertise with Enterprise Application Architecture tooling (e.g. ArchiMate, Sparx, Ardoq, BizzDesign). Significant cloud experience - Azure is essential (AWS/GCP desirable). A solid understanding of SaaS, PaaS, IaaS, APIs, SOA, microservices, and event-driven services. Excellent analytical, planning, and communication skills, with the ability to influence both technical and non-technical stakeholders. Leading small teams of More ❯

field. Advanced degree is a plus. 3+ years of experience in a Sales/Solutions Engineer, Customer-Facing Data Scientist, or Technical Product Manager role, preferably in a B2B SaaS or AI/ML company. Hands-on experience with AI/ML concepts, data science workflows, and cloud platforms (AWS, Azure, GCP). Proven ability to design and deliver compelling More ❯

field. Advanced degree is a plus. 3+ years of experience in a Sales/Solutions Engineer, Customer-Facing Data Scientist, or Technical Product Manager role, preferably in a B2B SaaS or AI/ML company. Hands-on experience with AI/ML concepts, data science workflows, and cloud platforms (AWS, Azure, GCP). Proven ability to design and deliver compelling More ❯

field. Advanced degree is a plus. 3+ years of experience in a Sales/Solutions Engineer, Customer-Facing Data Scientist, or Technical Product Manager role, preferably in a B2B SaaS or AI/ML company. Hands-on experience with AI/ML concepts, data science workflows, and cloud platforms (AWS, Azure, GCP). Proven ability to design and deliver compelling More ❯

field. Advanced degree is a plus. 3+ years of experience in a Sales/Solutions Engineer, Customer-Facing Data Scientist, or Technical Product Manager role, preferably in a B2B SaaS or AI/ML company. Hands-on experience with AI/ML concepts, data science workflows, and cloud platforms (AWS, Azure, GCP). Proven ability to design and deliver compelling More ❯

to a wide audience. Experience with PyTorch, Scikit-learn, Go, Databricks, JavaScript, and Azure Pipelines is desirable, but not essential. Experience in leading software engineering efforts for AI-enabled SaaS products is desirable, but not essential. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career More ❯

re Looking For Essential: A recent graduate (or soon-to-be) in Computer Science, Information Technology, Software Engineering, or a related field Basic understanding of cloud concepts (IaaS, PaaS, SaaS) and interest in platforms such as AWS, Azure, or GCP Familiarity with Linux/Unix systems and basic networking principles Some experience in scripting (e.g., Python, Bash, PowerShell) Enthusiasm for More ❯

experience. Continuously assess emerging technologies and trends to evolve the cloud roadmap. Architecture & Design Partner with Microsoft and internal SMEs to design enterprise-grade Azure solutions across IaaS, PaaS, SaaS, and AI services. Develop resilient, scalable, and secure cloud platforms to support global operations and business continuity. Transformation Collaborate with architects and engineering teams to modernise legacy systems and enable More ❯

experiences across all channels. With Optimizely One, our industry-first operating system for marketers, we offer teams flexibility and choice to build their stack their way with our fully SaaS, fully decoupled, and highly composable solution. We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue More ❯

Senior Data Engineer - (AI/ML Deployment Experience Required) Location: London (Hybrid: Monday-Wednesday in office) Salary: £65,000-£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage More ❯

to harmonise multiple regional ERPs existing globally, while respecting our divisional operating models and métier specificities. It will create a standardized, single global core ERP model, based on the SaaS Microsoft D365 F&O platform. HERO is not just a Programme; it is a transformation building the foundation for the success of our Global business, strengthening us to embrace the More ❯

Mentor and guide product managers and team members 10+ years of experience in product management, a part of that being in a platform product and/or in B2B Saas Super strong analytical and problem-solving skills Proven track record of managing the lifecycle of a complex product Excellent communication and interpersonal skills Experience with Agile methodologies and product management More ❯

Senior Data Engineer London (Hybrid) Up to £80k DOE About the Company We’re partnered with a rapidly scaling AI-driven SaaS business that helps global enterprises unlock the potential of their data. They are entering a really exciting next phase of expansion - scaling their platform, deepening automation and developing their AI solutions. About the Role This business is looking More ❯

Senior Data Engineer London (Hybrid) Up to £80k DOE About the Company We’re partnered with a rapidly scaling AI-driven SaaS business that helps global enterprises unlock the potential of their data. They are entering a really exciting next phase of expansion - scaling their platform, deepening automation and developing their AI solutions. About the Role This business is looking More ❯