Lead ML Engineer — Hybrid/Remote, Shape Production AI

Humand Talent Ltd.; Oxford; Hybrid; GBP 101,000 - 123,000; Full time

Benefits offered by this job

Hybrid or remote working options

Competitive salary

28 days annual leave

Private medical and permanent health保险

Life assurance

Health and wellbeing support

Cycle scheme, season ticket loans

Professional development opportunities

Job summary

Humand Talent Solutions is seeking a Lead Machine Learning Engineer in Oxford, offering hybrid or remote working options. You will shape the ML engineering function, lead multidisciplinary teams and continue hands-on work on production-ready AI systems. The role combines technical leadership with delivering complex ML projects.

The position emphasizes mentoring engineers, setting engineering standards, and collaborating with stakeholders to translate AI opportunities into practical solutions.

Qualifications

• Experience developing production-grade ML solutions.
• Strong understanding of MLOps and cloud engineering.
• Solid software engineering practices and testability.
• Leadership experience coaching engineers and building teams.
• Ability to drive projects from discovery to production.

Responsibilities

• Shape ML engineering standards and MLOps practices.
• Lead and mentor ML Engineers, fostering a high-performing team.
• Stay hands-on with AI/ML projects and deliver production-ready systems.
• Influence projects from concept through deployment and iteration.
• Collaborate with ML scientists, software engineers and project teams.
• Own technical delivery across multiple ML projects and architectures.

Job description

Humand Talent Solutions is seeking a Lead Machine Learning Engineer in Oxford, offering hybrid or remote working options. You will shape the ML engineering function, lead multidisciplinary teams and continue hands-on work on production-ready AI systems. The role combines technical leadership with delivering complex ML projects.

The position emphasizes mentoring engineers, setting engineering standards, and collaborating with stakeholders to translate AI opportunities into practical solutions.