Machine learning & ai materials Work, Jobs in Cambridge, Eng (with Salaries)

Machine Learning & AI Materials Scientist
BIOVIA —Cambridge
- Hybrid work
- Doctoral degree
- English
- Master's degree
- Flexible schedule
Agentic AI Engineer (life sciences)
Healx —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Software development
- AI
- Annual leave
- Work from home
Quick apply
Research Assistant in Advanced Manufacturing and Materials Grade
University of Cambridge —Cambridge
- £33,002 - £35,608 a year
- Engineering
- Maintenance
- Research
Research Assistant/Research Associate (ARIA) (Fixed Term)
University of Cambridge —Cambridge
- £33,002 - £46,049 a year
- Doctoral degree
- Laboratory experience
- Research
11d
Senior Machine Learning Scientist
Flagship Pioneering, Inc. —Cambridge
- Doctoral degree
- Research
- Master's degree
Senior Automotive Vehicle Solution Owner
Neural Concept —Cambridge
- Full-time
- Hybrid work
- Machine learning
- AI
- Flexible schedule
Lead Veterinary Surgeon - Small Animal
IVC —March
- £35,000 - £75,000 a year
- Part-time
- Surgery
- School
- Annual leave
- Employee assistance programme

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machine learning & ai materials jobs near cambridge, eng

Machine Learning & AI Materials Scientist

BIOVIA -
Cambridge

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Job details

Benefits

Flexible schedule

Qualifications

Doctoral degree
Test automation
Mathematics
English
Master's degree
Machine learning modelling
Deep learning
Software development
Multidisciplinary collaboration
AI
Leadership
Communication skills

Full job description

As a Machine Learning & AI Materials Scientist, you will be a part of Dassault Systèmes Gen7 vision and actively contribute towards its implementation. Materials AI is a strategically important, rapidly growing, and evolving core technology that will underpin the future of all Dassault Systèmes brands materials-related products and services. Gen7 implementation of agentic workflows for modeling, simulation, and representation of materials is of critical importance to BIOVIA and to Dassault Systèmes in general. Generative materials and chemicals research will enable the prediction of novel materials with desired properties while taking into account such aspects as synthesizability, stability, cost, environmental impact.

Role Description & Responsibilities

Software development for a Gen7 virtual assistant that is an expert in materials science.
Software development for generative material and chemistry projects representing Gen7 virtual twins of materials, molecules

and reactions.

Contribute towards creating and validating project plans for the materials AI team that will deliver the roadmap.
Coordinating with QA to ensure new and existing functionality has appropriate automated test coverage.
Work with the documentation team to document new features and improvements.
Act as a technical expert on Materials AI and its supporting technologies. Be able to answer questions originating from customers as well as internally.
Regularly present your work to internal stakeholders and customers.
Keeping up to date with relevant tools, technologies, and processes. Seek out and act on opportunities to introduce them into the team.
Contribute towards fostering a culture of openness, innovation, quality, and continuous improvement.

Qualifications

PhD or Master in materials science, chemistry, mathematics, computer science or related fields.
Practical experience with deep learning and machine learning algorithms and the use of popular AI/ML frameworks.
Experience in coding (web, cloud, algorithms, industry processes…).
Experience of modern development techniques and environments (agile, web, cloud…) – will be an asset.
Industry experience working on AI related projects, preferably in the materials domain – will be an asset.
Experience working as part of and with geographically dispersed teams, leadership experience also welcome.
Excellent communication skills in English, both verbal and written.
Excellent presentation skills.

What’s in it for you

Global Culture: A vibrant, diverse, and deeply collaborative international work environment.
True Balance: Flexible working hours paired with a modern hybrid working model.
Growth & Mentorship: Extensive, structured career development programs to help you scale your skills.
Total Rewards: A highly competitive salary and a comprehensive, premium benefits package.

Inclusion statement

As a game-changer in sustainable technology and innovation, Dassault Systèmes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it’s our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.

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machine learning & ai materials jobs in cambridge, eng

Machine Learning & AI Materials Scientist

Agentic AI Engineer (life sciences)

Research Assistant in Advanced Manufacturing and Materials Grade

Research Assistant/Research Associate (ARIA) (Fixed Term)

Senior Machine Learning Scientist

Senior Automotive Vehicle Solution Owner

Lead Veterinary Surgeon - Small Animal

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