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Senior AI Engineer

causaly · London

New
Senior 🇬🇧 English
Python PyTorch TensorFlow LangChain Embeddings Prompt engineering Fine-tuning Version control Integration testing CI/CD Containerization MLOps LLMOps

Job description

About the role

Causaly is building the world’s most advanced biomedical knowledge platform powered by a high‑precision Knowledge Graph and generative AI. As a Senior AI Engineer you will lead the design and delivery of AI solutions that help researchers discover and interpret scientific evidence quickly and reliably.

Key responsibilities

  • Design and implement end‑to‑end ML/AI solutions, from data exploration to deployment and monitoring.
  • Apply software‑engineering best practices such as modular code, testing, CI/CD and observability to ensure production‑ready AI systems.
  • Select appropriate techniques—classical ML, NLP, LLM‑based or agentic approaches—balancing speed, cost, interpretability and performance.
  • Collaborate with product, design and engineering teams to define success metrics and ship AI‑powered user features.
  • Document architectures and decisions early to align teams and accelerate onboarding.
  • Champion model and data quality through versioning, robust evaluation, bias assessment and performance tracking.
  • Mentor junior engineers and promote a high‑trust, high‑performance team culture.

Required profile

  • Master’s degree or higher in Computer Science, Electrical Engineering or related field.
  • 5+ years of experience delivering AI/ML systems in production, covering data collection, modeling, evaluation, deployment and monitoring.
  • Proven ability to work in product‑focused teams, collaborating with designers, engineers and product managers.
  • Strong communication skills for documenting and defending architectural decisions.

Required skills

  • Python
  • PyTorch
  • TensorFlow
  • LangChain
  • Large Language Models (LLMs)
  • Embeddings, prompt engineering and fine‑tuning
  • Version control (Git)
  • Unit and integration testing
  • CI/CD pipelines
  • Containerization (Docker, Kubernetes)
  • MLOps / LLMOps frameworks (optional)

What we offer

  • Competitive compensation package
  • Private medical and dental insurance
  • Life insurance (4× salary)
  • Personal development and wellbeing budgets
  • 25 days holiday plus bank holidays and birthday off
  • Opportunity to impact a transformative AI product in biomedicine

Questions fréquentes

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Source : ats:ashby

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Published 10 hours ago

Expires 1 month from now

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causaly

London