Job Title: LLM Researcher
Job Type: Permanent
Location: London, UK
Hybrid Working Required – 3 Days On, 2 days Remote
Our client are an AI-Native FinTech start-up based in London.
Brief:
We’re building an AI-native financial operations platform. As an ML/LLM Engineer, you’ll design, fine-tune, and deploy models that automate complex financial workflows—payouts, reconciliations, compliance checks, and forecasting—while keeping humans in the loop for accuracy and trust.
Responsibilities:
Fine-tune and optimize foundation models (e.g., LLaMA, FinBERT) for financial text and transaction data.
Build retrieval-augmented generation (RAG) pipelines with Hugging Face, LangChain, and vector databases.
Implement human-in-the-loop systems to continuously validate, improve, and govern AI outputs.
Deploy and monitor ML models in production with a focus on scalability, latency, and compliance.
Collaborate with product and finance experts to translate real-world workflows into AI agents.
Key Requirements:
Strong experience in NLP/LLM training and fine-tuning (transformers, embeddings, LoRA/PEFT).
Proficiency with PyTorch/TensorFlow, Hugging Face ecosystem, and MLOps tooling.
Experience working with financial or structured transactional data.
Knowledge of data privacy and regulatory requirements in fintech (SOC2, PCI-DSS, GDPR).
Ability to thrive in a fast-moving startup environment.
Desirables:
Background in fintech, payments, or treasury systems.
Experience with reinforcement learning with human feedback (RLHF).
Please get in touch with # to hear more about this incredible position
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