Software Engineer - Applied ML - UK Public Sector

Cohere Cohere · AI Frontier · London, United Kingdom · Modeling

Software Engineer role focused on applying Cohere's AI/ML stack to solve problems for UK public sector customers, involving LLM application development, RAG, and NLP within secure government environments. Requires SC/DV clearance and public sector expertise.

What you'd actually do

  1. Own and build large new areas within our product.
  2. Work across the backend, frontend, and interact with Large Language Models.
  3. Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.
  4. Work across the entire product lifecycle from conceptualisation through production.

Skills

Required

  • Go
  • Python
  • Node
  • React
  • Next.js
  • SC Clearance
  • UK citizenship
  • 8+ years in public sector technology roles
  • Deploying AI/ML solutions in secure government environments
  • Deep understanding of UK public sector ecosystems (Central/Local Government, NHS, Emergency Services)
  • Familiarity with government cloud strategies (e.g., Crown Hosting, G-Cloud, MODNET)
  • Data security frameworks
  • Building LLM applications using tools such as Langchain
  • Information Retrieval systems for document question answering
  • Day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.)

Nice to have

  • DV Clearance preferred

What the JD emphasized

  • SC Clearance
  • DV Clearance
  • UK public sector expertise
  • secure government environments
  • LLM applications
  • Information Retrieval systems
  • NLP

Other signals

  • The role involves working directly with UK public sector customers to design and implement solutions using Cohere's stack.
  • The role requires active SC Clearance (with willingness to obtain DV Clearance if needed).
  • Experience building LLM applications using tools such as Langchain.
  • Experience in Information Retrieval systems for document question answering.
  • Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).