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J.P. MORGAN
A leading recruitment platform is seeking a Lead Software Engineer in London to develop innovative AI solutions for the healthcare sector. This role offers the opportunity to build product-facing AI technologies, optimize backend systems, and work within an ambitious startup environment. The ideal candidate has proficiency in Python, experience in machine learning, and a passion for solving real customer challenges. The position operates in a hybrid work model with competitive compensation ranging from £60,000 to £80,000 per year.
Lead Software Engineer | Python, ML, AI, | Hybrid | London
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 Pharmaceutical businesses 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.
For more information please apply today.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.