ML Engineering Lead β€” Flexible Hours, AWS & MLOps

ML Engineering Lead β€” Flexible Hours, AWS & MLOps

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

At a Glance

  • Tasks: Lead the design and deployment of scalable ML systems for innovative legal content products.
  • Company: Join LexisNexis GTO, a leader in legal technology with a focus on innovation.
  • Benefits: Enjoy flexible hours, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with global influence and exciting challenges.
  • Why this job: Make a real impact in the legal field by shaping AI/ML practices and mentoring future engineers.
  • Qualifications: Proven experience in ML engineering and strong leadership skills.

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

Lexis Nexis GTO is seeking a Machine Learning Engineering Lead to design and deploy scalable ML systems for legal content products.

You will act as SME for ML/AI, guide architecture, MLOps, and responsible AI practices while influencing engineering teams across regions.

You will mentor engineers, collaborate with software/data engineers and stakeholders, and ensure production AI/ML capabilities meet reliability, governance, and business value targets.

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ML Engineering Lead β€” Flexible Hours, AWS & MLOps employer: LexisNexis Risk Solutions

At ICIS, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and accountability. Our commitment to employee well-being is reflected in our generous benefits package, extensive learning opportunities, and a supportive environment that encourages personal and professional growth. Join us in our mission to optimize the world's resources while enjoying a fulfilling career in a globally distributed team that values your insights and contributions.

LexisNexis Risk Solutions

Contact Details:

LexisNexis Risk Solutions Recruitment Team

We think you need these skills to ace ML Engineering Lead β€” Flexible Hours, AWS & MLOps

Machine Learning Engineering
MLOps
AWS
System Design
Scalable ML Systems
Subject Matter Expertise (SME) in ML/AI
Architecture Guidance