Senior AI Systems Engineer

1 week ago


Oxford, Oxfordshire, United Kingdom Oxford Dynamics Full time
About the Opportunity

Oxford Dynamics, a UK-based deep tech start-up, seeks an experienced Generative AI Engineer to join our fast-paced team.

We're looking for someone with 3+ years of industry experience working with Generative AI on various challenges in a rapidly evolving environment. Your primary responsibilities will include developing and scaling natural language model systems, collaborating with the wider AI team, and staying up-to-date with the latest trends in Generative AI and ML.

The ideal candidate will have extensive experience with Large Language Models (LLMs), utilizing them as part of a natural language model system, both in and before production. Alongside this, they should possess a strong understanding of current literature around LLMs.

As a key member of our team, you'll contribute to the development of our two core AI products and play a crucial role in shaping the direction of our company.

Rewards:

  • A competitive salary range of £90,000 - £110,000 per annum, depending on experience and personal attributes
  • Opportunity for rapid career progression and professional growth
  • An opportunity to be part of a dynamic start-up and shape its future
  • Generous share option scheme
  • Flexible work hours and hybrid working options

Key Responsibilities:

  • Develop novel, accurate AI algorithms for Oxford Dynamics' core AI products
  • Collaborate with the team to deploy novel AI products into offline environments

Requirements:

  • MOD SC Clearance
  • Strong experience deploying LLM's for searching pipelines
  • Up-to-date knowledge of current LLM and NLP research
  • Experience designing, developing, and deploying production machine learning pipelines
  • Strong background in NLP techniques
  • BS, MS, or Ph.D. degree in Computer Science or related quantitative field
  • Strong presentation skills
  • Python for machine learning development
  • Full-stack development, enhancement, and maintenance
  • GIT workflow and control
  • Docker for system deployment
  • AWS/Cloud experience


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