# Scientist II Machine Learning Engineer (LLM & GenAI Specialist) at OWKIN

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design and implement scalable LLM and ge

- **Company:** OWKIN (https://jobs.trythestack.co/companies/owkin)
- **Location:** London, GB, United Kingdom
- **Work arrangement:** Remote
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, PyTorch, TensorFlow, Hugging Face, Transformers, Deep Learning, MLOps, AWS, GCP, Docker, CI/CD, Distributed Training
- **Posted by employer:** 2026-10-31
- **Added to The Stack:** 2026-11-01
- **Listed until:** 2026-12-30
- **Status:** Active
- **Apply:** https://www.owkin.com/careers?ashby_jid=df08e875-432e-420f-ac18-543c07e0ee1b&utm_source=LinkedInPaid (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/scientist-ii-machine-learning-engineer-llm-genai-specialist-owkin

## About the role

Responsibilities:
- Design and implement scalable LLM and generative AI models for biomedical research use cases.
- Build and optimise training and inference pipelines (distributed training, batching, quantisation, etc.).
- Productionise research models: containerisation, CI/CD, monitoring and deployment on cloud platforms.
- Develop tooling and libraries to accelerate prototyping and reproducible research workflows.
- Implement experiment tracking, reproducibility and lifecycle management systems.
- Collaborate with data scientists, platform engineers and researchers; help select infrastructure and drive best practices.

Requirements:
- Master’s or PhD in a quantitative field with 5+ years professional Python software development and ML/DL experience.
- Strong hands-on experience with PyTorch or TensorFlow and Transformer-based models; familiarity with Hugging Face ecosystem.
- Experience deploying deep learning models to production on cloud platforms (AWS/GCP/Azure) and using MLOps practices.
- Proficiency with containerisation (Docker), CI/CD, distributed training and performance optimisation.
- Experience with clinical, health or omics data is a strong plus; excellent software engineering and collaboration skills.

## Responsibilities

Design, develop, and deploy cutting-edge AI solutions with a heavy focus on LLMs and Generative AI; scale and optimize training and inference pipelines and bridge research prototypes to production-ready ML systems. Collaborate with data science, platform, and engineering teams to build tooling, experiment tracking, reproducibility systems, and cloud-based model lifecycle infrastructure.

## Requirements

Master's or PhD in a quantitative field with 5+ years of professional Python software development experience and proven production deployment of deep learning models. Strong expertise in PyTorch or TensorFlow, Transformer architectures, Hugging Face, cloud platforms (AWS/GCP/Azure), MLOps, containerization (Docker), CI/CD, and distributed training; experience with clinical or omics data is a strong plus.

## FAQ

- **Is this Scientist II Machine Learning Engineer (LLM & GenAI Specialist) role still open?** It was posted on 2026-10-31 and is listed as active on The Stack. Confirm on OWKIN's application page before applying.
- **Does OWKIN offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on OWKIN's site.
- **Where is this role located?** The listing gives the location as London, GB, United Kingdom. It is marked remote.
- **What skills does this role ask for?** The listing names: Python, PyTorch, TensorFlow, Hugging Face, Transformers, Deep Learning, MLOps, AWS, GCP, Docker, CI/CD, Distributed Training.

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## Notes for agents

- Apply on the employer's page (https://www.owkin.com/careers?ashby_jid=df08e875-432e-420f-ac18-543c07e0ee1b&utm_source=LinkedInPaid). The Stack does not take applications.
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- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "Scientist II Machine Learning Engineer (LLM & GenAI Specialist) at OWKIN, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/scientist-ii-machine-learning-engineer-llm-genai-specialist-owkin)".
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