Senior TPM, Applied AI - Frontier Data & ML Ops

LILT (Production)

Greater London

Hybrid

GBP 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Competitive salary
Cutting-edge AI tech
Collaborative environment
Growth opportunities
Global impact

Job summary

LILT, based in London, UK, seeks a Senior TPM of Applied AI to lead benchmarking and data operations across multi-modal datasets. You’ll own end-to-end program delivery, partner with research labs, and shape workflows for training future LLMs and multimodal models.

In this hybrid role, you’ll bridge research, engineering, and production, driving high-impact, scalable data initiatives while collaborating with global teams and ensuring data diversity and quality.

Qualifications

  • Advanced degree would be beneficial for research-to-production work.
  • Experience leading frontier AI labs or research partnerships.
  • Strong ability to manage high-stakes stakeholder relationships.

Responsibilities

  • Act as CEO of customer’s business by co-developing benchmark transcreations with research labs.
  • Lead end-to-end programs for frontier AI labs and manage large-scale data milestones.
  • Architect pipelines for high-volume multi-modal data delivery (text, image, video, audio).
  • Implement automated and human-in-the-loop QC frameworks for data integrity.
  • Coordinate between engineering, research, and production teams to meet frontier AI market needs.

Skills

Multilingual fluency
Python
PyTorch
LangChain

Education

CS/AI degree or higher

Tools

LangChain

Job description

LILT, based in London, UK, seeks a Senior TPM of Applied AI to lead benchmarking and data operations across multi-modal datasets. You’ll own end-to-end program delivery, partner with research labs, and shape workflows for training future LLMs and multimodal models.

In this hybrid role, you’ll bridge research, engineering, and production, driving high-impact, scalable data initiatives while collaborating with global teams and ensuring data diversity and quality.

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