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Senior Machine Learning Engineer

La Fosse Associates Limited

More jobs from this company

Senior Machine Learning Engineer

Senior Machine Learning Engineer - LLM & NLP Focus

Hybrid - 2 days/week in London.

£90k - £110k + Bonus + 8%+ Employer Pension + 9x Life Assurance

AWS Tech Stack | MLOps & AI Engineering | Unstructured Data Processing

About the Role

I'm looking for a Senior ML Engineer to play a pivotal role in building ML pipelines and infrastructure for an innovative Text Mining product for a cutting edge InsurTech business. This is a hands-on engineering role with a strong focus on LLMs, NLP, and MLOps.

What You'll Be Doing:

  • Building & Scaling ML Pipelines - Deploying and managing production-ready ML models.
  • Working with LLMs & NLP - Text mining, unstructured data processing, model fine-tuning.
  • Redesigning & Extending a Key Product - Transforming an existing Text Mining solution.
  • Shaping AI Engineering & MLOps Strategy - Creating scalable ML solutions in AWS.
  • Thriving in a Start-up Environment - Operating with autonomy and minimal oversight

Technical Requirements:

  • ML Engineering Expertise - Strong Python skills, solid understanding of algorithms.
  • NLP & LLM Knowledge - Model fine-tuning, prompt engineering, retrieval systems.
  • MLOps & AI Engineering Experience - LLM pipeline abstractions, deployment best practices.
  • Experience with Unstructured Data - Text processing, domain-specific documents.
  • AWS- Deep hands-on experience in AWS/GCP/Azure for ML model deployment

Why Join?

  • Impact-Driven Work - Be at the forefront of AI-driven text mining innovation
  • Cutting-Edge Tech - Work with state-of-the-art NLP, LLMs, and scalable AI solutions
  • Supportive, Agile Environment - A start-up mindset within a stable, well-backed company
  • Great Benefits - Competitive salary, strong pension contributions, and discretionary bonuses

Interested? Apply now or reach out for a chat!

Senior Machine Learning Engineer - LLM & NLP Focus

About the Company

Job Specification

11 Mar 2025

Job Location

Job type

Full time

Job category

Information Technology, Telecommunications

Monthly salary