Proactive AI Engineer: Ship Real-World ML Features

ActAI; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

ActAI in the United Kingdom is seeking an Applied AI Engineer to turn model capabilities into real product behavior. You will own problems end-to-end, from shaping model behavior to building the systems around it, and ensuring it performs reliably in production.

This role sits at the intersection of machine learning, systems and product, focusing on making AI work for users, not just in demos, but in real-world usage, with emphasis on latency, cost, and maintainability.

Qualifications

• Strong foundation in modern ML and neural networks.
• Hands-on experience with training, fine-tuning, or deploying ML models.
• Ability to write clean, production-quality code.
• Ability to work in ambiguous, fast-moving environments.

Responsibilities

• Build and ship AI features end-to-end (model → system → user experience).
• Design prompts, tools, memory, and agent workflows.
• Turn model outputs into reliable, predictable behaviors.
• Debug issues across full stack including model, orchestration, infra, and UX.
• Optimize for latency, cost, and production reliability.
• Develop lightweight evaluation frameworks to measure real-world performance.
• Collaborate with product and engineering to translate problems into working systems.

Skills

Python

PyTorch/JAX

Inference/Serving

Vector DB

Tools

vLLM

Job description

ActAI in the United Kingdom is seeking an Applied AI Engineer to turn model capabilities into real product behavior. You will own problems end-to-end, from shaping model behavior to building the systems around it, and ensuring it performs reliably in production.

This role sits at the intersection of machine learning, systems and product, focusing on making AI work for users, not just in demos, but in real-world usage, with emphasis on latency, cost, and maintainability.