ML Engineer: AI-Driven Advanced Materials (Remote)

Noir; Yarnton; On-site; GBP 45,000 - 80,000; Full time

Job summary

A leading deep-tech company is seeking a Machine Learning Engineer to leverage AI for advanced materials. This role involves designing, validating, and deploying ML models while collaborating with experts to drive innovation. Ideal candidates will have extensive experience with Python and a robust ML tech stack. The company offers competitive compensation, equity options, and a flexible working environment.

Benefits

Competitive salary

Equity options

Private healthcare

Generous pension scheme

Dedicated R&D time

Annual training allowance

Flexible and hybrid working

Opportunities for international collaboration

25 days holiday plus birthday off

Qualifications

• Experience with Python and strong background in ML frameworks.
• Experience with ML tooling, containerization, and orchestration.
• Proficiency with data libraries and data visualization.
• Experience with CI/CD, MLOps, and cloud platforms.
• Familiarity with Bayesian modelling and probabilistic programming.
• Version control experience and Agile methodologies.

Responsibilities

• Collaborate with teams to design, validate, and deploy ML models.
• Develop and maintain scalable ML workflows.
• Apply Bayesian modelling to quantify uncertainty.
• Work with data visualization tools to communicate results.
• Contribute to design of AI-enabled simulations and workflows.
• Participate in code reviews and testing.

Skills

Python

PyTorch

TensorFlow

Scikit-learn

MLflow

Airflow

Docker

Kubernetes

AWS

Azure

GCP

Pandas

NumPy

SciPy

CI/CD

MLOps

Data Visualization

Bayesian Modelling

Probabilistic Programming

Terraform

Job description

A leading deep-tech company is seeking a Machine Learning Engineer to leverage AI for advanced materials. This role involves designing, validating, and deploying ML models while collaborating with experts to drive innovation. Ideal candidates will have extensive experience with Python and a robust ML tech stack. The company offers competitive compensation, equity options, and a flexible working environment.