AI/ML Engineering Lead for Production ML & LLMs

AI/ML Engineering Lead for Production ML & LLMs

Full-Time 72000 - 88000 Β£ / year (est.) No working from home possible
LexisNexis

At a Glance

  • Tasks: Lead the design and deployment of AI/ML solutions for legal content products.
  • Company: Join LexisNexis GTO, a leader in legal technology innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on responsible AI practices.
  • Why this job: Make a real impact in the legal field with cutting-edge AI technologies.
  • Qualifications: Expertise in machine learning engineering and strong leadership skills.

The predicted salary is between 72000 - 88000 Β£ per year.

Lexis Nexis GTO is seeking a Machine Learning Engineering expert to lead design and deployment of production AI/ML solutions for legal content products.

You will guide architecture, MLOps, and responsible AI practices, while collaborating with cross-functional teams and AWS-hosted services.

You will influence tool orchestration, model governance, and complex data workflows, mentoring engineers and ensuring high standards in SDLC and deployment processes.

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AI/ML Engineering Lead for Production ML & LLMs employer: LexisNexis

At LexisNexis Risk Solutions, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through our comprehensive benefits package and opportunities for professional development, ensuring that you can thrive in your role as Vice President of Strategy, Data Services. Located in a dynamic environment, we empower our team to make impactful decisions that shape the future of data services while enjoying a supportive work atmosphere that values well-being and work-life balance.

LexisNexis

Contact Details:

LexisNexis Recruitment Team

We think you need these skills to ace AI/ML Engineering Lead for Production ML & LLMs

Machine Learning Engineering
AI/ML Solutions Design
MLOps
Architecture Guidance
Responsible AI Practices
Tool Orchestration
Model Governance