4 Applied Research jobs in the United Kingdom
Applied ML Research Engineer
Posted 12 days ago
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Job Description
Principal Research Scientist - Applied Physics
Posted 16 days ago
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Job Description
Lead Machine Learning Research Engineer, Applied AI
Posted 27 days ago
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Job Description
Work on exciting public sector projects and make a positive difference in people’s lives. At Zaizi, we thrive on solving complex challenges through creative thinking and the latest tools and tech.
As a Machine Learning Research Engineer,AI, you’ll be responsible for researching, developing, and testing new AI algorithms, models, and technologies that businesses can use to automate tasks and gain insights from their data.
Key responsibilities include testing off the shelf techniques and models against understood customer use cases and producing full stack Proof of Concepts to showcase new capability. Mentoring junior members, influencing technical decisions within the team, and handling complex, non-routine problems.
Our work culture is inclusive, modern, friendly, and democratic. We look for bright, positive-thinking individuals with a can-do attitude. Our people enjoy challenging themselves to be the best at what they do – if that sounds like you, you'll fit right in!
Role Objectives
These are the expected objectives for this role. We are happy to discuss this further during the interview process with the successful candidate.
- Model Development & Delivery: Design, build, test, and deploy complex machine learning models, ensuring high standards of quality, performance, and scalabilityDecide what model is most suitable for use in products and services
- Machine Learning Research. Acting as focal point for research activities for the team and wider business in the evaluation and prototyping of new generative AI Technologies
- Advanced Problem Solving: Act as a technical expert for complex, non-routine technical challenges within machine learning, developing and implementing innovative and effective solutions
- Customise, optimise, re-train and maintain existing models
- Deploy models into production, testing and assuring them to ensure they meet performance requirements
- Work with others to integrate models with existing systems
- Check that models used in live products and services stay safe, secure and continue to work effectively
Requirements
- Broad technical expertise in machine learning, demonstrating a deep understanding of various ML algorithms, frameworks, and best practices.
- Research. Plans and directs and carries out research activities, acting as a subject matter expert in generative AI research.
- Emerging Technology Monitoring. Systematically discovers and evaluates new generative AI technologies for business relevance, feasibility and relevance within the National Security Domain.
- Prototyping. Delivers complex, high-risk proofs of concept that test new AI applications.
- Specialist Advice. Serves as the primary source of expertise for generative AI within the organization.
- Data Science. Applies a range of data science techniques to support model development.
- Proven experience in building, deploying, and managing complex machine learning models.
Nationality
Due to UK government security restrictions, you will need to be a British Citizen and have been resident in the UK for the last ten years to apply for this role.
Benefits
25 days paid holiday, plus bank holidays
Vitality medical insurance
Workplace Pension
Group Life Assurance
Cyclescheme
Other benefits:
Flexible working
Work on exciting projects - make a difference
Empowered to make decisions
Encouraged to fail fast and learn quickly
1-2-1 and team coaching / training available to all our staff
Senior Applied Scientist in Materials - Microsoft Research AI for Science
Posted 8 days ago
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Job Description
This role is an exceptional opportunity to bring our foundational AI capabilities toward real-world impact. You will work closely with experimental partners and apply our foundational AI models toward solving materials design problems. You will work with a highly collaborative, interdisciplinary, and diverse global team of researchers and engineers to bridge the gap between computation and experiments.
Microsoft's mission is to empower every person and every organization on the planet to achieve more, and we're dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
This post will be open until the position is filled.
**Responsibilities**
+ Work closely with experimental partners and translate foundational AI capabilities towards real-world impact.
+ Learn to interpret experimental data and translate them to actionable insights for model development.
+ Apply machine learning models, including generative models and machine learning force fields, to speed up the discovery of novel materials.
+ Generate domain-specific datasets and fine-tune machine learning models.
+ Collaborate with experimental partners to validate computationally designed materials candidates in laboratories.
+ Prepare technical papers, presentations, and open-source releases of research code.
**Qualifications**
Qualifications:
Required:
+ PhD in experimental or computational materials science, condensed matter physics, machine learning, or related area, or comparable industry experience.
Experience:
+ Experience in applying machine learning models to solve real-world problems in materials science.
+ Proficiency in collaborative code development in Python on shared codebases.
+ Publication track record in relevant academic journals (npj computational materials, Nature Materials, PRB, PRL, etc.).
+ Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds.
Preferred:
+ Hands-on experience in solid state synthesis and characterization techniques.
+ Experience in deeply collaborating with experimental groups and applying computational materials design approaches to discover novel materials.
+ Experience in training and fine-tuning machine learning force fields or generative models.
#Research #AI for Science
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
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