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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
9
Hiring companies
5
View 9 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 7 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Machine Learning
71%
PyTorch
43%
Generative AI
43%
Python
43%
JAX
29%
Generative Models
29%
Model Checking
29%
Interactive Theorem Proving
29%
Programming Language Semantics
29%
Property-Based Testing
29%
Formal Verification
29%
Security
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

9 live roles

See all 9 roles →
Amazon logo

Applied Scientist, Alexa International Tech

As an Applied Scientist in the Alexa International Tech team, you will develop cutting-edge generative AI and speech synthesis technologies to enhance Alexa's natural and culturally relevant communication across multiple languages. Your work will involve designing and conducting experiments, prototyping new approaches, and collaborating with engineering teams to deploy these models at scale.

Amazon London, United Kingdom
On-site Permanent
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
Entrust logo

Applied Scientist Lead - Computer Vision

Lead a team of applied scientists building computer vision and machine learning systems for identity verification at scale. Focus on developing vision-language models and compact mobile-optimized models to combat fraud and improve digital trust. Work closely with product and engineering to deploy resilient, production-grade systems in adversarial environments.

Entrust London, United Kingdom
On-site Permanent
PhysicsX logo

Applied Scientist - All Levels

Conduct foundational research to develop AI-driven physical simulation models for engineering and manufacturing applications. Translate complex physics and engineering problems into mathematical formulations, build and iterate machine learning models—particularly in neural operators, geometric deep learning, or generative modeling—and collaborate closely with engineers and customers to deliver real-world impact across advanced industries.

PhysicsX United Kingdom
Hybrid 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

A Research Scientist will focus on applying Large Language Models to drug discovery challenges, developing novel ML techniques and models that integrate with biological and chemical data. The role involves close collaboration with interdisciplinary teams of scientists and engineers to advance AI-driven drug design. Work includes model development, experimentation, and scaling frameworks for predictive applications in a fast-paced research environment.

Isomorphic Labs London, United Kingdom
Hybrid Permanent

Senior Applied Data Scientist

This role involves leading end-to-end data science projects to enhance customer personalisation for major retail clients like Tesco UK. You'll design and deploy machine learning solutions using large-scale transactional data, conduct A/B testing, and translate complex insights for both technical and business audiences. The role emphasizes innovation, collaboration with high-impact teams, and deploying scalable data products in a fast-paced environment.

dunnhumby London, United Kingdom
Hybrid Permanent
Amazon logo

Applied Scientist, Agentic Automated Reasoning

This role involves developing advanced software verification tools that combine AI, formal methods, and cloud-scale computation to ensure the security and correctness of AWS systems and customer applications. The scientist will work on solving complex code analysis problems across diverse domains, from Infrastructure as Code to low-level cryptography, using techniques such as model checking, theorem proving, and generative AI. A key focus is enabling provable security and building safe, reliable agentic systems through automated reasoning.

Amazon London, United Kingdom
On-site Permanent
See all 9 roles →
Hiring locations

Where this role is hiring

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

London

Location
8 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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