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- Tasks: Design and deploy cutting-edge ML models for advanced materials using AI and 3D printing.
- Company: Join a fast-growing deep-tech company revolutionising material design.
- Benefits: Competitive salary, equity options, private healthcare, and generous training allowance.
- Why this job: Make a tangible impact on industries like aerospace and energy with your ML expertise.
- Qualifications: Experience in Python and ML frameworks; familiarity with cloud platforms and Bayesian modelling.
- Other info: Flexible working, international collaboration, and a culture that values creativity and curiosity.
The predicted salary is between 45000 - 80000 £ per year.
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.
Responsibilities
- Collaborate with data scientists, engineers, and materials researchers to design, validate, and deploy ML models and pipelines that move from concept to production.
- Develop and maintain scalable ML workflows using the specified tech stack (Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, CI/CD, MLOps).
- Apply Bayesian modelling and probabilistic programming techniques where appropriate to quantify uncertainty and improve decision making.
- Work with data visualization tools to communicate model results to technical and non-technical stakeholders.
- Contribute to the design of AI-enabled simulations and 3D printing workflows in collaboration with materials researchers.
- Participate in code reviews, testing, and deployment to ensure reliable production systems.
Qualifications
- Experience with Python and a strong background in ML frameworks (PyTorch, TensorFlow, Scikit-learn).
- Experience with ML tooling (MLflow, Airflow), containerization (Docker), and orchestration (Kubernetes).
- Proficiency with data libraries (Pandas, NumPy, SciPy) and data visualization.
- Experience with CI/CD, MLOps, and cloud platforms (Azure, AWS, GCP).
- Familiarity with Bayesian modelling and probabilistic programming.
- Version control (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 and Salary
Location: Oxford, UK
Salary: £45,000-£80,000 (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.
How to apply
To apply for this position please send your CV to Lina Savjani at Noir.
Machine Learning Engineer – AI for Advanced Materials – Oxford in Yarnton employer: Noir
Contact Detail:
Noir Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer – AI for Advanced Materials – Oxford in Yarnton
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Machine Learning Engineer role.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those using Python, PyTorch, or TensorFlow. Share your work on GitHub or personal websites to demonstrate your expertise and passion for ML.
✨Ace the Interview
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and be ready to discuss your past projects and how they relate to the job description.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Machine Learning Engineer – AI for Advanced Materials – Oxford in Yarnton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with the specific tech stack mentioned in the job description. We want to see how your skills in Python, PyTorch, and other tools can contribute to our mission.
Showcase Your Projects: Include any relevant projects or experiences that demonstrate your machine learning expertise. We love seeing real-world applications of your skills, especially if they relate to advanced materials or innovative manufacturing processes.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how you can make an impact at StudySmarter. We appreciate enthusiasm and a clear connection to our goals.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It streamlines the process for us and ensures your application gets into the right hands quickly!
How to prepare for a job interview at Noir
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description. Brush up on Python, PyTorch, TensorFlow, and other tools like Docker and Kubernetes. Being able to discuss your experience with these technologies will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific projects where you've applied machine learning to solve real-world problems. Highlight how you designed, validated, and deployed ML models. This will demonstrate your ability to contribute to the innovative work the company is doing.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Use data visualisation examples to illustrate your points. This will show that you can bridge the gap between different teams effectively.
✨Emphasise Collaboration
The role involves working closely with data scientists and materials researchers. Be ready to share examples of how you've successfully collaborated in the past. Discussing your experience in code reviews and Agile methodologies will also highlight your team-oriented mindset.
