Senior ML Engineer — Personalization & LLM Systems (Remote UK/EU)

TryHackMe; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Annual training budget

Health insurance

Company retreat

Job summary

TryHackMe is seeking a Senior ML Engineer to build and operate ML systems for personalised cybersecurity learning. You will work on production LLM applications, recommendations, and embedding tools from ideation to deployment.

At senior level you will provide technical leadership and mentor engineers. Responsibilities include shipping LLM products with RAG and evaluation, building embeddings and recommendation systems, and managing the ML lifecycle with data pipelines and A/B tests.

Qualifications

• Three to five years of ML engineering experience for mid-level candidates, or five or more years with end-to-end ML leadership for senior candidates.
• Experience shipping LLM products to users, including RAG, prompt and context engineering, and model evaluation.
• Practical experience building recommendation or personalisation systems.
• Understanding of embeddings, including model selection and adaptation.

Responsibilities

• Develop and maintain LLM applications, including retrieval-augmented generation, agent workflows, and evaluation methods.
• Improve an AI tutor to provide guidance informed by learner activity and course context.
• Build recommendation and personalisation systems for content selection, learning paths, and difficulty adjustment.
• Create embedding models and pipelines for semantic search, content similarity, skill mapping, and learner modelling.
• Manage the ML lifecycle, including data pipelines, offline evaluation, A/B tests, deployment, monitoring, and iteration.
• Work with product and engineering partners to set outcome measures and guide technical choices; at senior level, lead designs and mentor engineers.

Skills

ML engineering

RAG

Prompt engineering

LLM apps

Recommendations

Embeddings

A/B testing

Mentoring

Tools

RAG frameworks

LLM tooling

Embedding pipelines

Evaluation frameworks

Job description

TryHackMe is seeking a Senior ML Engineer to build and operate ML systems for personalised cybersecurity learning. You will work on production LLM applications, recommendations, and embedding tools from ideation to deployment.

At senior level you will provide technical leadership and mentor engineers. Responsibilities include shipping LLM products with RAG and evaluation, building embeddings and recommendation systems, and managing the ML lifecycle with data pipelines and A/B tests.