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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
6
Hiring companies
3
View 6 live roles → 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 2 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Model Checking
50%
Interactive Theorem Proving
50%
Programming Language Semantics
50%
Generative AI
50%
Property-Based Testing
50%
Automated Reasoning
50%
Formal Verification
50%
Security
50%
Cryptography
50%
AI
50%
Machine Learning
50%
Computer Vision
50%
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

6 live roles

Amazon logo

Applied Scientist, Amazon Transportation

This role involves developing machine learning and optimization models for Amazon's large-scale transportation planning systems, focusing on external freight within the middle mile. Responsibilities include creating dynamic pricing and network planning models, building scalable products, and optimizing the freight marketplace to improve operations and customer experiences.

Amazon London, United Kingdom
On-site Permanent
Amazon logo

Applied Scientist, Agentic Automated Reasoning

This role involves working with customer teams to understand their software and verification needs, applying advanced techniques like model checking and theorem proving to ensure security and correctness. You will also explore generative AI to help formalize requirements and generate tests.

Amazon London, United Kingdom
On-site Permanent
Entrust logo

Applied Scientist Lead - Computer Vision

As an Applied Science Manager, you will lead a team of 6 applied scientists in developing and deploying vision-language models for data extraction and tiny models for mobile devices. Your role involves defining the team's roadmap, staying current with ML literature, and contributing to the development lifecycle while pushing the boundaries of research in areas like document understanding and efficient ML.

Entrust London, United Kingdom
On-site Permanent
Entrust logo

Applied Scientist I

Join us at EntrustAt Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.Get...

Entrust London, United Kingdom
Isomorphic Labs logo

Research Scientist (Applied LLMs), London

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.The future is coming. A future enabled and enriched by the incredible power of machine learning. A...

Isomorphic Labs London, United Kingdom
Amazon logo

Sr. Applied Scientist, Amazon Transportation

Amazon’s Middle Mile Science group is looking for a Senior Applied Scientist to build machine learning and optimization models to support pricing and revenue management of its external freight business. This includes the development of novel forecasting and dynamic pricing...

Amazon London, United Kingdom
On-site Permanent
Hiring locations

Where this role is hiring

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

London

Location
6 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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