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Machine Learning Engineer - LLMs

Location:
Surrey
Salary:
£80000 - £90000 per annum + benefits
Job Type:
Permanent
Date Posted:
25 days ago
Expiry Date:
31/10/2024
Job Ref:
BBBH110084052429c_1726479304
Start Date:
16/09/2024
Contact:
Niall Wharton
Contact Email:
niall.wharton@xcede.com
Specialism:
Machine LearningDataData ScienceAI & Machine LearningMarketing & Insight AnalyticsAI EngineeringAI ResearchGenerative AINLP

Machine Learning Engineer (LLMs)

Up to £90,000 Salary

Surrey office x2 days per month

OVERVIEW

Xcede's Data-driven Insurance client with an excellent Data Science, ML Engineering and MLOps team is hiring for a Machine Learning Engineer to join their AI unit. The organisation have been building commercially successful Data Science products for years, and are now pushing further into Generative AI with 6 LLM based projects in production across the company.

In this role you will be responsible for building and deploying production level ML models for a breadth of interesting commercial projects. The role is end to end focused. Your responsibilities as a Machine Learning Engineer will include but not be limited to:

  • Developing and deploying predictive models and algorithms for commercial projects with a particular focus on LLMs and RAGs.
  • Collaborate with cross-functional commercial and business teams, to understand business requirements and identify opportunities for deploying statistical models.
  • Building production level Machine Learning models and be hands on in deployment.
  • Evaluating and select appropriate machine learning techniques and algorithms for solving commercial challenges.

YOUR SKILLS & EXPERIENCE

A successful Machine Learning Engineer will have the following:

  • Have a number of years of commercial experience in a Data Science role building statistical & machine learning models.
  • Have built and deployed machine learning models in production.
  • Excellent use of Python
  • Particular experience in NLP, LLMs, and RAGs are highly prized given the focus on these projects.
  • CI/CD & MLOps experience is valued
  • Databricks experience is valued

If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).

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Niall Wharton

Niall Wharton

Specialisms: Data, Data Engineering, AI & Machine Learning, AI Research, NLP, Machine Learning, Computer Vision, Generative AI, AI Engineering
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