5 of 5 Remote/Hybrid SaaS Jobs in Cambridgeshire

TypeScript skills and practical experience integrating AI into production applications. The role is responsible for building and maintaining enterprise Software as a Service (SaaS) and white label technology solutions for agri-food enterprises. Working alongside senior engineers, you will take ownership of development tasks, contribute across the stack and help ...

capability. Naturally curious: able to spot patterns, anomalies, and opportunities. Strong attention to detail and data quality. Structured, logical problem-solver. Experience working with SaaS platforms in operational environments. Ability to think end-to-end across integrated systems. Why this role matters: You won't just be “maintaining systems ...

Great Fit Solid experience as a strategic People Partner or HR Business Partner in a high-growth or fast-changing business, ideally tech or SaaS, partnering directly with product or engineering leadership A commercial mindset: able to connect the business issue behind a people problem and the people issue behind ...

Technical Implementation & Software Engineer is required to join an innovative early-stage technology start-up developing cloud-based SaaS solutions within the renewable energy sector. Location: Cambridge - Hybrid Preferred/Remote UK Considered (with ocassional travel to customers) This is a genuinely hybrid technical role combining customer-facing SaaS implementation … hands-on Java software development . You'll join a small, collaborative team, working directly with customers to implement, integrate and support a sophisticated SaaS platform, while contributing to software development and product enhancements. With approximately 60% focused on technical implementation and customer enablement and 40% on software engineering , this ...

Engineering, Data Science, Machine Learning Engineering or a related technical discipline. * 5+ years leading high-performing engineering teams. * Experience delivering enterprise software, AI or SaaS solutions into production environments. * Exposure to Agentic AI, AI agents, intelligent automation or Generative AI technologies. * Strong understanding of scalable software architecture, cloud platforms … Agents, Generative AI, LLMs, Machine Learning, Data Science, Platform Engineering, LangGraph, LangChain, Semantic Kernel, CrewAI, OpenAI Agents, Microsoft Copilot Studio, MCP, MLOps, RAG, SaaS, Cambridge. ...