Lead Software Engineer | Python, ML, AI, | Hybrid | London

Have you got what it takes to succeed The following information should be read carefully by all candidates. Backed by technology start-up accelerator and venture capital firm £60,000 - £80,000 per annum | 2+ Years of Experience Join a mission-driven AI startup transforming how medical and healthcare organisations collaborate. Using machine learning and advanced recommendation systems, the team helps to matchmake some of the leading Medical and Pharmaceuticalbusinesses with their extensive network of professionals. This allows them to engage seamlessly all while reducing operational costs so resources can focus on changing lives. This is the chance to work on cutting-edge AI technology at an early stage with real influence on product and architecture to help medical organisations do more with their resources while changing lives and impact clients across the US and FTSE markets. As a Full Stack Software Engineer, you’ll work across backend systems, DevOps pipelines, data engineering, and AI projects, touching multiple products and directly influencing how value is delivered to users. You'll have enormous amount of autonomy and project ownership working in a fast paced start up environment. What You’ll Do: Build product-facing AI solutions and collaborate on ML model development, training, and deployment. Design and develop scalable backend and full-stack systems with robust APIs and efficient data flows. Work with SQL & NoSQL databases (Postgres, MongoDB, Elasticsearch) and optimize data storage. Implement DevOps best practices, including CI/CD pipelines and reliable infrastructure. Lead data engineering efforts to support analytics and product enhancements. Who You Are: You have a product mindset—solving real customer problems. You thrive on ownership and can navigate ambiguity to take projects from ideation to launch. You’re curious, hungry, and driven, thriving in a fast-paced, high-growth environment. You know how to balance rapid delivery with robust architecture and quality. Must-Haves: 1–2+ years of professional software engineering experience (backend, DevOps, or full stack). Proficiency in Python and experience building ML-oriented solutions. Hands-on experience with DevOps, CI/CD pipelines, and version control. Familiarity with cloud platforms, preferably Azure. Comfortable with SQL and NoSQL databases. Right to work in the UK. For more information please apply today.