Machine learning scientist Work, Jobs in Elsenham And Henham, Ess (with Salaries)

Machine Learning & AI Materials Scientist
BIOVIA —Cambridge
- Hybrid work
- Doctoral degree
- English
- Master's degree
- Flexible schedule
6d
Applied Scientist - LLM, Alexa
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
AI/ML Research Consultant
Awerian —Cambridge
- Full-time
- Bachelor's degree
- Machine learning
- In-person
- Life insurance
Quick apply
13d
Agentic AI Engineer (life sciences)
Healx —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- APIs
- Annual leave
- Work from home
Quick apply
C++ AI/ML Software Engineer
HP —Cambridge
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- C++
Senior AI Engineer (Full Stack)
Abcam —Cambridge
- Full-time
- Master's degree
- Machine learning
- APIs
- Annual leave
Senior Data Scientist
Kier Group —Cambridge
- Full-time
- Hybrid work
- SQL
- Machine learning
- No degree
19h

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machine learning scientist jobs near elsenham and henham, ess

Machine Learning & AI Materials Scientist

BIOVIA -
Cambridge

Apply Now

Job details

6 days 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.

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machine learning scientist jobs in elsenham and henham, ess

Machine Learning & AI Materials Scientist

Applied Scientist - LLM, Alexa

AI/ML Research Consultant

Agentic AI Engineer (life sciences)

C++ AI/ML Software Engineer

Senior AI Engineer (Full Stack)

Senior Data Scientist

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