Senior ML Engineer — AI for Advanced Materials (Remote)

NLP PEOPLE; Oxford; Hybrid; GBP 45,000 - 80,000; Full time

Job summary

A leading deep-tech company in Oxford is seeking a Machine Learning Engineer to apply expertise in AI for advanced materials. You will work with cutting-edge technology and collaborate with top professionals to drive real-world innovation. The ideal candidate has over 5 years of experience with Python and various ML frameworks. This role offers a competitive salary, equity options, and a hybrid work model.

Benefits

Competitive salary with annual performance-based bonuses

Equity options

Private healthcare and wellbeing package

Generous pension scheme (up to 8%)

Dedicated R&D time

Annual training & conference allowance

Flexible and hybrid working

International collaboration opportunities

25 days holiday plus extra days

Regular team offsites and innovation events

Open and supportive culture

Qualifications

• 5+ years of experience in Machine Learning engineering.
• Proficiency in the required tech stack including Python and various ML frameworks.

Responsibilities

• Apply ML expertise to innovate in advanced materials manufacturing.
• Collaborate with teams to design and deploy ML pipelines.

Skills

Python

PyTorch

TensorFlow

Scikit-learn

MLflow

Airflow

Docker

Kubernetes

Pandas

NumPy

SciPy

CI/CD

Data Visualization

Bayesian Modelling

Probabilistic Programming

Terraform

Azure

AWS

GCP

Git

Agile methodologies

Job description

A leading deep-tech company in Oxford is seeking a Machine Learning Engineer to apply expertise in AI for advanced materials. You will work with cutting-edge technology and collaborate with top professionals to drive real-world innovation. The ideal candidate has over 5 years of experience with Python and various ML frameworks. This role offers a competitive salary, equity options, and a hybrid work model.