Welcome to Artificial Intelligence Jobs, the job board for AI careers. Whether you’re a machine learning engineer, a researcher, a data scientist or a graduate hunting for your first AI job, every vacancy here is about artificial intelligence. You won’t be digging through unrelated listings to find it. We cover machine learning, deep learning, NLP, computer vision, generative AI, large language models (LLMs), robotics and data science, from graduate roles to senior and leadership positions.
Hiring? Post your AI job where AI candidates already look. On a general job board, your vacancy competes with thousands of others. Here, everyone browsing is interested in the field. Start-ups, scale-ups and large companies can all post a job and get it in front of the right people.
Latest Artificial Intelligence Jobs
Find your next AI job
Good AI roles are often buried on company career pages or lost among unrelated vacancies. We bring them together in one place so you can compare roles and apply to the ones that suit you.
Jobs you’ll see on the board include:
- AI engineer jobs
- Machine learning engineer jobs
- Data scientist jobs
- AI research scientist jobs
- NLP engineer jobs
- Computer vision engineer jobs
- Deep learning jobs
- Generative AI and LLM jobs
- Big data and data engineering jobs
- Robotics and autonomous systems jobs
Vacancies are based in the UK, USA and Europe, and plenty of employers offer remote AI jobs or flexible working. We add new listings regularly, so check back often.
AI jobs at every career stage
AI careers look very different from one person to the next. Some people lead projects or run the infrastructure behind large models. Others do research or shape AI-driven products. If you’re just starting out, an entry-level AI job is a good way to build hands-on skills in a field that keeps changing.
There’s no single route in. People come from software engineering, computer science, maths, statistics and academic research. Employers increasingly care about what you’ve actually built, and a strong project can count for more than a long CV.
Popular artificial intelligence job roles
Job titles in AI overlap, and the same title can mean different things at different companies. Read the job description, not just the label. These are the roles you’ll come across most.
Machine learning engineer
Machine learning engineers turn models into working products. They build and train algorithms, test the results, tune performance and push systems into production, usually with TensorFlow, PyTorch or Scikit-learn. Their work sits behind recommendations, fraud detection, forecasting and search. Day to day they work alongside software engineers, data scientists and product teams.
Data scientist
Data scientists work out what the numbers are saying. They use statistics, programming and machine learning to analyse large datasets, spot patterns and build predictive models. Just as important, they explain the findings to colleagues who aren’t technical.
AI research scientist
Research scientists develop new techniques and improve existing ones, in universities, labs and tech companies. Topics include model architectures, reinforcement learning, language models and generative AI. Most roles expect advanced knowledge of computer science, maths or statistics.
NLP engineer
Natural language processing engineers teach machines to read, understand and write human language. Their work powers chatbots, search, translation, text analysis and voice assistants. Large language models have made these skills far more sought after.
Computer vision engineer
Computer vision engineers build systems that make sense of images and video. You’ll find their work in self-driving vehicles, medical imaging, factory inspection, augmented reality and object recognition. The job combines machine learning, image processing and solid software engineering.
Big data engineer
Every AI system relies on good data. Big data engineers build the pipelines and platforms that collect, process and store information at scale, often using cloud services and tools like Spark and Hadoop. It’s less glamorous than modelling, but the models don’t work without it.
AI jobs across different industries
You don’t have to work for a tech company to build a career in AI. Roles now turn up in all sorts of sectors:
- Healthcare: medical imaging, drug discovery, diagnostics, personalised medicine and health data analysis.
- Finance: fraud detection, risk modelling, customer service automation and forecasting.
- Automotive: autonomous driving and driver assistance, where machine learning and computer vision are essential.
- Retail and e-commerce: product recommendations, demand forecasting, stock management, pricing and customer analytics.
- Entertainment and media: content recommendation, media analysis, game development and new kinds of digital experience.
Cybersecurity, research and academia are growing sources of AI vacancies too.
Why are AI jobs in demand?
Companies are using AI to improve their products, make sense of their data, automate routine work and tackle problems that used to be out of reach. The spending covers everything from traditional machine learning and predictive analytics to generative AI and large language models.
All of it needs people to build, test, deploy and maintain the systems. Skills in machine learning, deep learning, NLP, computer vision, data engineering, research and robotics are especially valuable right now.
For employers hiring AI professionals
Filling an AI role takes more than a standard job advert. The work is specialist, and the best candidates often combine skills from several fields. A focused AI job board puts your vacancy in front of people who already work in the area, or want to.
Post your AI job and reach engineers, researchers and data scientists who are ready for their next move.
Why use a specialist board?
- A relevant audience. Your listing sits among AI roles, not everything else.
- A better fit for specialist roles. Engineering, machine learning, research and data jobs are seen by readers who understand them.
- Fewer unsuitable applications. A targeted audience should mean less sifting for you.
- International reach. Candidates across the UK, Europe, the USA and beyond can see your role.
Building a team for the AI economy
For many companies, AI is now part of core product development rather than a side experiment. The strongest teams mix skills: machine learning engineers to ship production systems, data scientists to interpret complex data, researchers to explore new approaches and data engineers to keep everything running.
You can advertise here whether you’re:
- hiring an AI engineer to build production systems
- recruiting data scientists to work with complex datasets
- looking for researchers developing new AI techniques
- building data infrastructure for machine learning
- growing a generative AI or large language model team
Frequently asked questions about AI jobs
What qualifications do I need for an AI job?
It depends on the role. Many positions ask for a degree in computer science, maths, statistics or a related subject, and research roles often prefer a master’s or PhD. For engineering and data jobs, hands-on experience with Python, machine learning frameworks and real projects can matter just as much.
Can I find remote AI jobs?
Yes. Many employers offer remote or hybrid working. Our listings include roles based in the UK, USA and Europe, as well as some open to international applicants.
Are there entry-level artificial intelligence jobs?
Yes. Graduate and junior roles in data science, machine learning and data engineering are a common way in. A portfolio of personal or academic projects will help you stand out.
How do I advertise an AI job on this site?
Use the job listing page to create your listing and reach candidates interested in AI careers.
Start your AI career or hire your next AI professional
Looking for work? Browse the latest AI jobs above. Hiring? Post your AI job and start reaching relevant candidates.
Questions about the site or your recruitment needs? Contact us.