AI/ML Engineer — Real-Time Trading Solutions

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

Job summary

Zuma Labs is a disruptive technology startup building AI/ML systems for real-world trading workflows. As an AI/ML Engineer you will design, deploy, and iteratively improve intelligent systems with broad autonomy, collaborating with founders, engineers, and traders to ship impactful ML solutions.

You will work on embedding models, RAG-style retrieval, and PEFT techniques, with a focus on rapid experimentation, measurable impact, and production readiness in a high-autonomy startup environment.

Qualifications

• Strong hands-on experience with PyTorch (Torch).
• Experience working with LLMs, embeddings, and reranking models.
• Practical experience with PEFT techniques, including LoRA adapters.
• Experience with dataset construction, cleaning, and synthetic data generation.
• Strong understanding of ML fundamentals (evaluation metrics, optimisation, generalisation, etc.).
• General understanding of supporting infrastructure: git, containers, microservices, etc.
• Comfortable working with numerical data and analytical problems (finance/trading knowledge not required).

Responsibilities

• Develop and deploy LLM-powered systems using Torch and SGLang.
• Build, fine-tune, and optimise embedding models and reranking models.
• Design and execute data curation strategies, including synthetic data generation for training and evaluation.
• Work closely with product and domain experts to translate real trading workflows into ML solutions.
• Run experiments, evaluate model performance rigorously, and ship improvements quickly.
• Contribute to infrastructure supporting training, evaluation, and production deployment.

Skills

PyTorch

LLMs

Embeddings

Reranking models

PEFT (LoRA)

Synthetic data generation

ML fundamentals

Git

Containers

Microservices

SGLang

Tools

SGLang

Git

Job description

Zuma Labs is a disruptive technology startup building AI/ML systems for real-world trading workflows. As an AI/ML Engineer you will design, deploy, and iteratively improve intelligent systems with broad autonomy, collaborating with founders, engineers, and traders to ship impactful ML solutions.

You will work on embedding models, RAG-style retrieval, and PEFT techniques, with a focus on rapid experimentation, measurable impact, and production readiness in a high-autonomy startup environment.