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Applied Scientist Jobs

Scientists who bridge the gap between AI research and real-world applications. They turn cutting-edge algorithms into practical solutions for businesses and society.

Open roles
1
Hiring companies
5
View 1 live role → Get an alert

Applied Scientists in the AI field are the bridge between theoretical research and practical implementation. They work on translating advanced AI and machine learning models into tangible products and services that solve real-world problems. These roles are highly sought after by tech companies, research-heavy startups, and the larger consultancies, where the focus is on delivering impactful solutions that can scale.

What the role does

Inside the role of an Applied Scientist

A typical week for an Applied Scientist is a mix of research, development, and collaboration with cross-functional teams.

  1. 01
    Conduct experiments to validate AI models
  2. 02
    Collaborate with engineers to integrate models into products
  3. 03
    Analyse data to refine and optimise algorithms
  4. 04
    Document findings and present results to stakeholders
  5. 05
    Stay updated with the latest research and industry trends
Skills & tools

What hiring managers ask for

% of 7 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Machine Learning
71%
Python
43%
PyTorch
43%
Generative AI
43%
Model Checking
29%
Interactive Theorem Proving
29%
Programming Language Semantics
29%
Property-Based Testing
29%
Formal Verification
29%
Security
29%
Deep Learning
29%
Data Science
29%
Career ladder

From Junior to Principal

A typical UK progression for applied scientists. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.

  1. Level 1

    Junior Applied Scientist

    0–2 yrs

    Assist in the development and testing of AI models, working under the guidance of more experienced team members.

  2. Level 2

    Applied Scientist

    2–5 yrs

    Lead the design and implementation of AI solutions, collaborating with cross-functional teams to ensure successful deployment.

  3. Level 3

    Senior Applied Scientist

    5–8 yrs

    Oversee multiple projects, mentor junior scientists, and contribute to the strategic direction of AI initiatives within the organisation.

  4. Level 4

    Principal Applied Scientist

    8+ yrs

    Drive innovation and thought leadership in the field, influencing the company's AI strategy and contributing to the broader scientific community.

Pathway

How to become a Applied Scientist

There's no single route, but most people follow some version of these steps.

  1. 1

    Academic Foundation

    Gain a strong foundation in computer science, mathematics, and statistics through a relevant degree programme.

  2. 2

    Research Experience

    Participate in research projects or internships to apply theoretical knowledge and gain practical experience in AI and machine learning.

  3. 3

    Entry-Level Role

    Start as a Junior Applied Scientist, working on smaller projects and learning from experienced colleagues.

  4. 4

    Specialisation

    Develop expertise in a specific area of AI, such as natural language processing or computer vision, and take on more complex projects.

  5. 5

    Leadership

    Progress to a Senior Applied Scientist role, leading teams and contributing to the strategic direction of AI initiatives.

  6. 6

    Thought Leadership

    Achieve the Principal Applied Scientist level, driving innovation and influencing the broader AI community through publications and conferences.

Live jobs

1 live role

W

Applied Scientist/Machine Learning Engineer Gaia

Develop next-generation generative world models for autonomous driving, focusing on real-time simulation, closed-loop training, and scalable deployment. Work on high-performance diffusion and transformer-based models to enable efficient, interactive, and physically faithful driving simulations. Integrate models into production systems and mentor research teams in a fast-paced AI environment.

Wayve London, United Kingdom
Top hirers

Companies hiring applied scientists

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Hiring locations

Where this role is hiring

The locations with the most live listings for this role today.

London

Location
5 open
FAQs

Common questions

  • Essential skills include strong programming abilities, a deep understanding of machine learning algorithms, and the ability to communicate complex ideas clearly.

  • Regularly read academic papers, attend conferences, and participate in online communities and forums dedicated to AI and machine learning.

  • Tech companies, research-heavy startups, and consultancies are the primary employers, but roles can also be found in healthcare, finance, and automotive industries.

  • Salary ranges can vary widely based on experience and location. For more detailed information, refer to the salary section on this page.

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