Ai scientist Work, Jobs in Cambridge, Eng (with Salaries)

Machine Learning & AI Materials Scientist
BIOVIA —Cambridge
- Hybrid work
- Doctoral degree
- English
- Master's degree
- Flexible schedule
1d
Agentic AI Engineer (life sciences)
Healx —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- APIs
- Annual leave
- Work from home
Quick apply
Applied Scientist, Silicon and Systems Group Edge AI
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Applied Scientist, Edge AI and Science
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Scientist I/II, Formulation Development
Abzena Inc. —Cambridge
- £27,000 - £33,000 a year
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- Laboratory experience
Quick apply
13d
Scientist - Cardiovascular Safety Pharmacology
Labcorp —Huntingdon
- Full-time
- Bachelor's degree
AI/ML Research Consultant
Awerian —Cambridge
- Full-time
- Bachelor's degree
- Machine learning
- In-person
- Life insurance
Quick apply
7d
Staff AI Platform Engineer
Altos Labs —Cambridge
- £97,300 - £128,000 a year
- Computer Science
- Master's degree
- AWS
Scientific Workflow & AI Content Intern
BIOVIA —Cambridge
- Hybrid work
- Machine learning
- Scripting
- APIs
- Flexible schedule
Scientist / Senior Scientist, Computational Biology
Altos Labs —Cambridge
- Doctoral degree
- Laboratory experience
- AWS
Senior Machine Learning Scientist
Flagship Pioneering, Inc. —Cambridge
- Doctoral degree
- Master's degree
- Machine learning
14d
Senior AI Engineer (Full Stack)
Abcam —Cambridge
- Full-time
- Master's degree
- Machine learning
- APIs
- Annual leave
12d
SRA, Histology
Flagship Pioneering, Inc. —Cambridge
- Laboratory experience
- Master's degree
- Bachelor's degree
Marketing Operator (AI-First)
TaiSan —Cambridge
- £12,000 - £13,000 a year
- Part-time
- Marketing
- AI
- Business
Quick apply
12d
Sr. Applied Scientist, Alexa International
Amazon UK Services Ltd. —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
C++ AI/ML Software Engineer
HP —Cambridge
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- C++
Operations Specialist
Neutreeno —Cambridge
- £32,500 - £37,500 a year
- Full-time
- Hybrid work
- Bachelor's degree
- IT
- Communication skills
- Annual leave
Quick apply
Software Engineer, Platform - Cambridge, United Kingdom
Speechify —Cambridge
- Remote
- Azure
- AWS
- APIs
1d
Lab Operations Manager
Avantor —Cambridge
- Full-time
- Management
- Laboratory experience
- Continuous improvement
8d
Lab Service Manager
Avantor —Cambridge
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel

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Machine Learning & AI Materials Scientist

BIOVIA -
Cambridge

Apply Now

Job details

1 day ago

Benefits

Flexible schedule

Qualifications

Doctoral degree
Mathematics
English
Master's degree
Machine learning
Deep learning
Software development
Agile
IT
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.

Apply Now

Refine Your Search

ai scientist jobs in cambridge, eng

Machine Learning & AI Materials Scientist

Agentic AI Engineer (life sciences)

Applied Scientist, Silicon and Systems Group Edge AI

Applied Scientist, Edge AI and Science

Scientist I/II, Formulation Development

Scientist - Cardiovascular Safety Pharmacology

AI/ML Research Consultant

Staff AI Platform Engineer

Scientific Workflow & AI Content Intern

Scientist / Senior Scientist, Computational Biology

Senior Machine Learning Scientist

Senior AI Engineer (Full Stack)

SRA, Histology

Marketing Operator (AI-First)

Sr. Applied Scientist, Alexa International

C++ AI/ML Software Engineer

Operations Specialist

Software Engineer, Platform - Cambridge, United Kingdom

Lab Operations Manager

Lab Service Manager

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