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

✨ The Stack take on this OWKIN job

• 🏢 This is OWKIN's only job here right now
• 📊 13 Machine Learning Engineer jobs in the United Kingdom in the last 60 days see them
• 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
• 💡 No salary shown. Ask OWKIN if it is above the minimum.

Updated 2026-11-01, from our data and official sources.

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.

Key skills

• Python — in 1142 other listings on The Stack
• PyTorch — in 87 other listings on The Stack
• TensorFlow — in 53 other listings on The Stack
• Hugging Face — in 2 other listings on The Stack
• Transformers — in 6 other listings on The Stack
• Deep Learning — in 47 other listings on The Stack
• MLOps — in 67 other listings on The Stack
• AWS — in 776 other listings on The Stack
• GCP
• Docker
• CI/CD
• Distributed Training

On The Stack (as of 2026-11-01)

• This is OWKIN's only listing on The Stack.
• 204 visa-sponsored jobs in the United Kingdom on The Stack, posted in the last 60 days.
• 27 visa-sponsored machine learning engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about OWKIN

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.