This job offer is no longer available
Machine Learning Engineer
Noir
- Oxford, England, United Kingdom
- Oxford, England, United Kingdom
About
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.
Qualifications :
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.
Full training provided to fill any gaps.
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
Applicants must be based in the UK and have the right to work in the UK.
To apply for this position please send your CV to Lina Savjani at Noir.
Seniority level:
Mid‑Senior level
Employment type:
Full‑time
Job function:
Information Technology
Referrals increase your chances of interviewing at Noir by 2x.
#J-18808-Ljbffr
Languages
- English
Notice for Users
This job was posted by one of our partners. You can view the original job source here.