LLM Researcher

microTECH Global Limited; London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading FinTech startup based in London is seeking an LLM Researcher to optimize foundation models for financial workflows. The role requires strong experience in NLP and proficiency with PyTorch. You'll collaborate closely with finance experts to automate complex tasks while ensuring compliance. This position is hybrid, with three days on-site and two days remote. Interested candidates can contact us for more details.

Qualifications

• Strong experience in NLP/LLM training and fine-tuning.
• Proficiency with PyTorch/TensorFlow and the Hugging Face ecosystem.
• Knowledge of data privacy and regulatory requirements in fintech.

Responsibilities

• Fine-tune and optimize foundation models for financial text.
• Build retrieval-augmented generation pipelines.
• Deploy and monitor ML models in production.

Skills

NLP/LLM training and fine-tuning

Proficiency with PyTorch

Experience with Hugging Face

MLOps tooling

Financial transactional data

Job description

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 [e-mail] to hear more about this incredible position