Free Entry-level ai engineer CV (2026)

Start with a concise CV summary or headline that states your role interest and top qualifications. Keep it to two lines that explain you are seeking an entry-level AI engineer position in the UK and mention your strongest skills such as machine learning projects, programming languages, or internships.

Then add Education, Technical Skills, Projects, Experience, and any UK-recognised qualifications or relevant coursework that support your candidacy. Where relevant, mention GCSEs/A-levels, UCAS, and any degree recognition from Russell Group universities.

When you describe work experience, focus on actions and results rather than day-to-day duties. Use active verbs and show how your contributions helped a project, even if the project was for a class or a voluntary effort.

For UK readers, frame your entries with the task, your approach, the tools used, and the outcome, and include numbers where possible. If you are an applicant requiring right-to-work in the UK, note your visa status or eligibility.

Use dates in DD/MM/YYYY format and consider including a brief note on the environment (team size, remote or on-site) to give context.

List technical skills in a concise section so applicant tracking systems and hiring managers can scan them quickly. Include programming languages like Python, libraries such as PyTorch or TensorFlow if you used them, and tools like Git, Docker, or cloud experience (Azure, AWS, or GCP).

Also list data skills such as data cleaning, feature engineering, model evaluation, and any experience with model deployment or APIs. Mention UK spellings and, where relevant, any experience with UK datasets or regulatory considerations.

Choose two to four projects that show hands-on experience and problem solving. For each project include a brief one-line context, your role and main tasks, the technical stack, and an outcome or what you learned.

Example entry: Image classifier, personal project, Python, PyTorch, trained model on a public dataset, improved validation accuracy through data augmentation and tuned hyperparameters.

Keep your CV to one page if you have less than five years of professional experience and focus on clarity. Use clear headings, consistent dates in DD/MM/YYYY format, and a simple readable font so your CV scans easily on screen and when printed on A4.

Provide contact details at the top (name, UK address, telephone, and a professional email). Include links to a GitHub repository or portfolio.

Use UK spellings and avoid including a photograph, National Insurance number, or unrelated personal details. Adapt the CV to each job posting by highlighting the skills and tools mentioned in the job spec.

For healthcare roles, you may reference NHS pay bands when discussing seniority or salary ranges if requested.

UK healthcare employers, including the NHS, often use standard pay bands (for example NHS Band 5 to Band 9). When applying to health and life sciences roles, align your CV with healthcare data governance and patient safety language, and highlight any experience with sensitive data, ethics, or clinical partnerships.

Include your right to work in the UK and any necessary clearances. If you have NHS experience or are aiming at NHS recruitment, mention relevant bands and progression paths and tailor your CV to the specific NHS role.