Staff Software Engineer β€” Build Neurosymbolic AI Platform

Staff Software Engineer β€” Build Neurosymbolic AI Platform

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
J

At a Glance

  • Tasks: Lead the design of a neurosymbolic AI platform and architect public APIs.
  • Company: Join UnlikelyAI, an innovative London-based startup revolutionising AI.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a world-class team driving cutting-edge technical initiatives.
  • Why this job: Make a real impact in AI for high-stakes financial and compliance use cases.
  • Qualifications: Experience in software engineering and a passion for AI technologies.

The predicted salary is between 70000 - 90000 Β£ per year.

UnlikelyAI, a London-based startup, seeks a Staff Software Engineer to lead the design of a neurosymbolic platform. You will architect the public API and document pipelines that enable enterprises to deploy reliable, explainable AI at scale for high-stakes financial and compliance use cases.

Led by a world-class team, you will bridge probabilistic ML and deterministic computing, drive platform-wide technical initiatives and set production-grade standards for a scalable global product.

Staff Software Engineer β€” Build Neurosymbolic AI Platform employer: Jack & Jill

At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.

J

Contact Details:

Jack & Jill Recruitment Team

We think you need these skills to ace Staff Software Engineer β€” Build Neurosymbolic AI Platform

Software Architecture
API Design
Neurosymbolic AI
Machine Learning
Probabilistic Modelling
Deterministic Computing
Technical Leadership