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Senior AI Engineer (Healthtech) - Remote NLP & ML

numi

Remote

GBP 100,000 - 125,000

Full time

Yesterday
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Job summary

A health technology start-up is seeking a Senior AI Engineer to design and scale advanced language and ML systems in a clinical platform. This role involves close collaboration with clinicians and engineers to tackle healthcare challenges using data-driven solutions. Ideal candidates have over 4 years in AI/ML, experience with large language models, and strong Python skills. The company offers competitive salary, equity options, and flexible remote work arrangements to contribute to meaningful patient care improvements.

Benefits

Competitive salary and equity options
Flexible working options
Opportunities for professional growth

Qualifications

  • 4+ years of hands-on experience in AI, ML, or NLP, ideally in a product setting.
  • Strong knowledge of large language models (LLMs), embeddings, fine-tuning, and evaluation methods.
  • Experience building full ML pipelines from data ingestion to deployment.

Responsibilities

  • Design and implement NLP and ML systems for clinical applications.
  • Collaborate cross-functionally to translate clinical requirements into technical solutions.
  • Ensure safety and regulatory compliance of ML systems.

Skills

Hands-on experience in AI, ML, or NLP
Knowledge of large language models
Advanced Python skills
Experience with frameworks like PyTorch
Experience building full ML pipelines
Strong communication skills
Interest in applying AI to healthcare

Tools

PyTorch
TensorFlow
HuggingFace
Job description
A health technology start-up is seeking a Senior AI Engineer to design and scale advanced language and ML systems in a clinical platform. This role involves close collaboration with clinicians and engineers to tackle healthcare challenges using data-driven solutions. Ideal candidates have over 4 years in AI/ML, experience with large language models, and strong Python skills. The company offers competitive salary, equity options, and flexible remote work arrangements to contribute to meaningful patient care improvements.
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