BSc (Hons) Data Science and Artificial Intelligence
Studying Data Science and AI opens up a world of opportunities in one of the fastest-growing and most in-demand fields globally.
A Artificial Intelligence Engineer works within their specialist professional field, using specialist knowledge and practical skills to deliver services, solve problems and support organisational objectives. The exact responsibilities depend on the employer, sector and level of experience. The role combines professional expertise with communication, organisation and decision-making. Depending on the occupation, work may involve clients, members of the public, technical teams or other specialist professionals.
Carry out the core professional duties of a Artificial Intelligence Engineer. Plan and manage assigned work and priorities. Communicate with colleagues, clients or service users. Maintain accurate records and documentation. Follow relevant professional and organisational standards. Develop knowledge through ongoing learning.
Salaries for Artificial Intelligence Engineers vary according to experience, qualifications, employer and location. Entry-level professionals generally earn less, with pay increasing as they gain specialist expertise and take on greater responsibility. Senior, specialist and management positions can attract significantly higher salaries. London-based roles may also offer higher salaries to reflect the local employment market and cost of living.
Working patterns for Artificial Intelligence Engineers depend on the sector and employer. Many positions are full time, typically around 35 to 40 hours per week, although some roles may involve shifts, evenings, weekends, travel or additional hours when required. Opportunities are available across the UK, with the working environment determined by the nature of the role. This may include offices, specialist facilities, operational sites, client locations or a combination of locations.
As a Artificial Intelligence Engineer, your day-to-day activities will vary according to your employer and current responsibilities. You can expect to balance specialist work with communication, planning and collaboration. The role may involve working independently on detailed tasks as well as contributing to a wider team. Maintaining professional standards, managing priorities and responding effectively when circumstances change are important parts of the job.
Entry requirements for a Artificial Intelligence Engineer vary according to the profession. A relevant degree, vocational qualification, apprenticeship or specialist professional training may provide a route into the role. Some occupations require specific professional registration or licences, while others place greater emphasis on practical experience and demonstrated skills. Continuing professional development can support progression throughout your career.
Relevant work experience can strengthen applications for Artificial Intelligence Engineer positions. Placements, internships, volunteering, university projects and entry-level employment can all provide opportunities to develop practical skills. Experience in a related environment is particularly valuable because it demonstrates an understanding of professional expectations and allows you to apply theoretical knowledge in practice.
Career progression for a Artificial Intelligence Engineer depends on the sector and organisation. With experience, you may take responsibility for more complex work, specialise in a particular area or progress into supervisory and management positions. Further qualifications and professional development may open opportunities in senior practice, consultancy, training, project leadership or organisational management.
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Step-by-step guidance on preparing and submitting your university application.
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Learn what qualifications and English levels you’ll need to apply.
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Find essential information on UK student visas, immigration, and ATAS certificates.
Understand tuition fees, payment options, and financial requirements before you apply.
Understand tuition fees, payment options, and financial requirements before you apply.
