Future Tech Jobs
Future Tech Jobs
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 236 priced listings posted in the last 12 months. Base salary only.
% of 1 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.
NVIDIA is looking for a passionate, world-class computer scientist to work in its Data Processing Developer Technology (Devtech) team as an AI Developer Technology Engineer. Artificial intelligence is transforming how we work, live, and create — and at NVIDIA, we’re...
NVIDIA is looking for a passionate, world-class computer scientist to work in its Data Processing Developer Technology (Devtech) team as an AI Developer Technology Engineer. Artificial intelligence is transforming how we work, live, and create — and at NVIDIA, we’re...
NVIDIA is looking for a passionate, world-class computer scientist to work in its Data Processing Developer Technology (Devtech) team as an AI Developer Technology Engineer. Artificial intelligence is transforming how we work, live, and create — and at NVIDIA, we’re...
NVIDIA is looking for a passionate, world-class computer scientist to work in its Data Processing Developer Technology (Devtech) team as an AI Developer Technology Engineer. Artificial intelligence is transforming how we work, live, and create — and at NVIDIA, we’re...
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
The locations with the most live listings for this role today.
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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