Machine Learning Engineer

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

Machine Learning Engineer

Machine Learning Engineer – AI for Advanced Materials – Oxford / Remote (UK)

(Tech stack: 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)

We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing how the world designs and makes advanced materials. By combining artificial intelligence, physics-based simulation, and cutting-edge 3D printing, our client is transforming the way metal components are conceived, tested, and produced – enabling breakthroughs in aerospace, energy, and beyond.

This is a rare chance to apply your ML expertise to problems that have a tangible, physical impact – from inventing new alloys to optimising complex manufacturing processes. You’ll collaborate with leading data scientists, engineers, and materials researchers to build models that drive real‑world innovation. Expect to design, validate, and deploy state‑of‑the‑art ML pipelines that move seamlessly from concept to production.

If you thrive in fast‑paced, intellectually charged environments where every model could change an industry, you’ll fit right in.

Company

Noir

Qualifications

• Senior (5+ years of experience)
• Experience with 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, and Agile methodologies.

Benefits

• Competitive salary with annual performance‑based bonuses
• Equity options – share in the company’s long‑term success
• Private healthcare and comprehensive wellbeing package
• Generous pension scheme (up to 8%)
• Dedicated R&D time to explore new technologies and research ideas
• Annual training & conference allowance of £5,000 for personal development
• Flexible and hybrid working – work where you’re most effective
• Opportunities for international collaboration with teams in Europe, Asia, and the US
• 25 days holiday plus your birthday off and extra days for long service
• Regular team offsites, guest talks, and hack weeks to spark innovation
• An open, supportive culture that values curiosity, creativity, and deep technical mastery

Location: Oxford, UK

Salary: £45000-£80000 (DOE) + Bonus + Equity + Pension + Benefits

Applicants must be based in the UK and have the right to work in the UK, even though remote working is available.

To apply for this position please send your CV to Lina Savjani at Noir.

Tagged as: Data Visualization, Industry, Machine Learning, NLP, United Kingdom