Developers who build and deploy AI systems, from research to production. A role that bridges the gap between theory and application, with a focus on creating intelligent software solutions.
AI Engineers are at the forefront of technological innovation, designing and implementing AI systems that solve complex problems. They work across a range of industries, from tech giants to research-heavy startups, and their role involves both theoretical research and practical application. AI Engineers are responsible for developing algorithms, models, and systems that can learn from data, make predictions, and automate tasks. This role requires a strong foundation in computer science, mathematics, and statistics, as well as proficiency in programming languages like Python and frameworks like TensorFlow and PyTorch.
A typical week for an AI Engineer is a mix of research, development, and collaboration. They spend time coding, testing, and refining models, while also engaging with cross-functional teams to integrate AI solutions into existing systems.
Based on advertised midpoints across the 418 UK listings priced in pounds in the last 12 months. Base salary only.
% of 143 listings posted in the last 12 months that mention each skill, extracted from job descriptions.
A typical UK progression for ai engineers. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.
Assist in the development and testing of AI models, with a focus on learning and gaining hands-on experience.
Take ownership of specific projects, from initial design to deployment, and contribute to the overall architecture of AI systems.
Lead the development of complex AI solutions, mentor junior team members, and ensure the quality and reliability of AI systems.
Drive strategic initiatives, innovate in AI research, and guide the technical direction of the organisation.
There's no single route, but most people follow some version of these steps.
Gain a strong foundation in computer science, mathematics, and statistics. Familiarise yourself with programming languages like Python and AI frameworks.
Work on personal or open-source projects to apply your knowledge. Participate in hackathons and coding challenges to gain real-world experience.
Start your career as a Junior AI Engineer, working on smaller projects and learning from more experienced colleagues.
Choose a specific area of AI, such as computer vision or natural language processing, and deepen your expertise in that domain.
Take on more responsibility by leading AI projects, managing teams, and ensuring the successful delivery of AI solutions.
Contribute to cutting-edge research, influence the direction of AI in your organisation, and mentor the next generation of AI Engineers.
As a Senior AI Engineer at PoliceAI, you will lead the design, development, and deployment of AI-enabled products, translating policing needs into technical solutions. You will work with multidisciplinary teams to build secure, maintainable, and scalable services, and support the testing, evaluation, and validation of AI products.
This role involves building end-to-end AI solutions, from model selection and prompt engineering to integration and deployment. You'll work closely with stakeholders to ensure solutions are accurate, governed, and aligned with business needs, while also refining and monitoring them in a fast-paced environment.
This role involves leading the technical delivery of AI, Machine Learning, and Algorithmic solutions for complex Defence and Security projects. You will work with multidisciplinary teams, provide technical oversight, engage with customers, and contribute to business development and technical standards.
This role involves leading the design, prototyping, and evaluation of OpenAI-powered solutions to enhance Cyber Security Operations Centre (SOC) activities. You will work closely with the AI Solution Architect and Business Analyst to develop and validate proof-of-concepts, focusing on the practical application of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI in real-world cyber use cases.
This role involves building and integrating AI prototypes and tools for enterprise legal applications. You will work on complex tasks using LLMs and agentic technologies, focusing on speed and quality of execution. The team values a hacker mentality and a passion for learning.
As an AI Software Engineer, you will design, develop, and implement AI-powered applications and automation solutions, working across the full development lifecycle. You will collaborate with stakeholders to identify opportunities for AI workflows, build web applications using PHP and React, and manage SQL databases, all while contributing to the company's AI innovation efforts.
As an AI Engineer, you will collaborate with cross-functional teams to design, develop, and deploy data pipelines, machine learning models, and AI-enabled applications. Your role involves working with modern data and AI technologies to deliver scalable, production-ready solutions that drive business value through analytics, automation, and digital transformation.
AI EngineerSalary: Up to £85,000Location: Fully remote – UKThe RoleWe’re looking for an AI Engineer to build and deliver AI-powered features for a large-scale enterprise SaaS platform. You’ll work closely with Product, Design and Engineering to turn ideas into reliable,...
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Python is the most widely used language in AI, but knowledge of C++, Java, and R can also be beneficial.
Strong programming skills, a solid understanding of algorithms and data structures, and proficiency in machine learning frameworks are crucial.
While a PhD can be beneficial, especially for research roles, many successful AI Engineers have backgrounds in computer science or related fields without a PhD.
Salaries for AI Engineers can vary widely based on experience, location, and industry. For more detailed salary information, please refer to the salary section on this page.
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