ML Engineer (AI/NLP)

TL;DR

ML Engineer (AI/NLP): Building and optimizing higher-level programming language tools and ML infrastructure for coding agents with an accent on detecting dependencies, fixing tests, and providing fast feedback. Focus on model selection, distillation, deployment, and evaluation for production-grade software development.

Location: London, UK. This is an on-site position.

Company

AlumniHub is the platform for CodeSpeak, a startup focused on developing a higher-level programming language based on plain English to replace existing production-grade software development.

What you will do

• Speed up common operations for coding agents, such as detecting dependencies or fixing tests using techniques like RAG.
• Provide fast feedback to users by highlighting problems in the specification as they type.
• Detect contradictions and ambiguities within code specifications.
• Set up and manage the ML infrastructure to support development.

Requirements

• Smart, curious, and self-driven engineers.
• 3+ years of experience in Applied AI Research/ML Engineering.
• Hands-on experience with model selection and experimentation (e.g., CNNs, Transformer Encoders, small LLMs).
• Proficiency in model distillation and compression for performance optimization.
• Experience deploying models via frameworks such as FastAPI, Triton, or Ray Serve.
• Ability to make data-driven decisions on model performance and establish stable evaluation pipelines.

Culture & Benefits

• Opportunity for maximum impact in a startup mode.
• Work alongside experts in programming languages, software engineering, and large-scale systems.
• Collaborative environment that encourages learning and solving hard problems together.
• Focus on delivering results that make users happy.
• Initiative and team play are highly valued.