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An AI consultant CV is your first step to landing roles where technology meets strategy. AI consultants help organisations harness artificial intelligence to solve business challenges and improve efficiency.
In this guide, you’ll find expert advice on how to write a CV for AI consulting, including formatting tips, key skills to showcase, and a complete AI consultant CV example. I’ll walk you through each step of writing a CV for AI consulting, so that you can secure your next job.
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AI consultant CV example
Alex Johnson
AI Consultant
London, UK
+44 7700 123 456
alex.johnson.ai@mail.com
LinkedIn: linkedin.com/in/alexjohnson-ai
Portfolio: alexjohnsonai.com
Personal Profile
AI Consultant with 6+ years’ experience advising clients in finance, healthcare, and retail on AI adoption and deployment. Proven record of delivering projects that increased efficiency by 28% and generated £2M in new revenue streams. Skilled at translating complex AI solutions into practical business outcomes, and eager to help Company XYZ gain a competitive edge through intelligent technology.
Work Experience
AI Consultant
TechAdvisory Group, London
Jan 2021–Nov 2025
- Advised clients in finance and retail on AI adoption strategies, driving a 24% increase in efficiency.
- Developed predictive analytics models that reduced supply chain costs by £1.5M annually.
- Led executive workshops to align AI initiatives with business goals, achieving a 90% adoption rate of recommendations.
- Collaborated with technical teams to implement scalable AI solutions in AWS and Azure environments.
Junior AI Consultant
Innovate Analytics, Edinburgh
Jan 2019–Dec 2020
- Supported senior consultants in deploying machine learning models for client-facing projects, improving forecast accuracy by 15%.
- Assisted in conducting data audits and feasibility studies, helping clients assess readiness for AI adoption.
- Contributed to presentations and reports that translated technical insights into clear business recommendations for stakeholders.
Education
MSc Artificial Intelligence (Distinction)
University of Edinburgh
2018–2019
- Modules: Machine Learning, Reinforcement Learning, Natural Language Processing, AI for Business Strategy.
- Dissertation: “Optimising Transformer Models for Enterprise Applications” – led to a 15% reduction in processing costs in simulated environments.
BSc Computer Science (First Class Honours)
University of Manchester
2015–2018
- Final project: Built an AI-driven recommendation system that improved accuracy by 22% compared to baseline models.
Skills
- Machine Learning (supervised & unsupervised)
- Deep Learning (CNNs, RNNs, Transformers)
- Natural Language Processing (NLP, NER, sentiment analysis)
- Predictive analytics & data modelling
- Programming (Python, R, SQL, Java)
- Strategic thinking
- Communication with non-technical stakeholders
- Client relationship management
- Leadership & team collaboration
Projects
- Deployed an AI-powered recommendation system for an e-commerce client, boosting sales by 18%.
- Designed an NLP chatbot for a healthcare provider, reducing call-centre load by 22%.
Certifications
- AWS Certified Machine Learning – Specialty | Amazon Web Services | Mar 2023
- Microsoft Certified: Azure AI Engineer Associate | Microsoft | Sep 2022
- TensorFlow Developer Certificate | TensorFlow | Jun 2022
- Deep Learning Specialisation | Coursera / DeepLearning.AI | Jan 2022
AI consultant CV format
Choosing the proper format for your AI consultant CV is more than a stylistic decision. A strong CV for AI consulting should highlight both your technical knowledge and your ability to translate AI into business value. The two most effective CV formats are chronological and skills-based:
Chronological CV
This is the most widely used format and a safe choice for experienced AI consultants. A chronological CV lists your roles in reverse order, starting with your most recent position. Employers can immediately see your career progression, the types of clients or industries you’ve worked with, and the scope of AI projects you’ve delivered.
Pros:
- Easy for recruiters to read and familiar to hiring managers.
- Highlights steady career progression and major achievements.
- Perfect for showcasing experience with specific tools, platforms, and industries.
Cons:
- Gaps in employment become more noticeable.
- Less effective for career changers or those new to consulting.
Skills-based CV
A skills-based AI consultant CV template is ideal if you’re transitioning into AI consulting from another role (such as data science, business analysis, or software engineering) or if your experience is varied across sectors. Instead of emphasising dates, it groups your expertise under key themes like “AI Strategy,” “Machine Learning Deployment,” or “Client Advisory.”
Pros:
- Focuses on transferable skills and technical expertise rather than job titles.
- Useful for entry-level consultants or those with a diverse background.
- Lets you emphasise the value you can bring to the client straight away.
Cons:
- This format is less known by recruiters, making it harder for them to follow the structure.
- Without clear timelines, it can leave employers unsure about the depth or recency of your consulting experience.
If you already have a strong track record, go with a chronological format. If you’re just entering the field or pivoting into consulting, a skills-based CV might be the better fit. Either way, make sure your achievements are quantifiable and directly linked to business outcomes.
You know that AI is a fantastic tool that can make your work and life easier. To make your job search easier, try our AI CV maker. Its customisation options will help you quickly write a CV that gets through Applicant Tracking Systems (ATS).
How to write a CV for an AI consultant job
Once you’ve chosen the right AI consultant CV template and format, the next step is filling it with content that captures your strengths. In the sections ahead, I’ll walk through everything you need to know about writing a CV for AI consulting.
Start with a clear CV header
The header of your AI consultant CV is the simplest section. This is where you make it easy for recruiters and potential clients to reach you. Place your contact information neatly at the top of your CV, using professional details that reflect the image you want to project as an AI consultant.
Include:
- Full name and job title: e.g., Alex Johnson | AI Consultant.
- Phone number: a reliable mobile number where you can be reached quickly.
- Professional email address: ideally, firstname.lastname@email.com.
- Location: city and country are sufficient; full postal addresses are no longer necessary.
- LinkedIn profile: a must-have for consultants, as many clients will review it for endorsements and network strength.
- Portfolio or website: if you publish thought leadership pieces, case studies, or showcase AI projects, include the link.
Sample AI consultant CV header
Alex Johnson
AI Consultant
London, UK
+44 7700 123 456
alex.johnson.ai@gmail.com
LinkedIn: linkedin.com/in/alexjohnson-ai
Portfolio: alexjohnsonai.com
Lead with a strong personal profile statement
The personal profile of your AI consultant CV is your opportunity to quickly show how you’ve helped businesses turn complex AI ideas into measurable results. In just a few lines, you should highlight your ability to analyse client needs, design intelligent solutions, and deliver strategies that improve performance and profitability.
A proper AI consultant CV profile should include:
- Your job title and experience level: e.g., “AI Consultant with 5+ years’ experience…”
- Specialisations: highlight areas such as natural language processing, predictive analytics, or AI strategy.
- Quantifiable achievements: prove your value with numbers (e.g., “cut processing costs by 20%” or “boosted client revenue by £1.2M”).
- Your promise to the employer: show how you’ll apply your expertise to deliver results for them.
Example personal profile for an AI consultant CV:
AI Consultant with 6+ years’ experience advising clients in finance, healthcare, and retail on AI adoption and deployment. Proven record of delivering projects that increased efficiency by 28% and generated £2M in new revenue streams. Skilled at translating complex AI solutions into practical business outcomes, and eager to help Company XYZ gain a competitive edge through intelligent technology.
AI recruitment is becoming increasingly popular. Read more about it in the embedded guide and prepare yourself for the new challenges it creates.
Detail your work experience
In an AI consultant CV, your work experience should demonstrate how you’ve turned complex AI concepts into tangible value for clients. Employers want evidence that you can analyse business needs, recommend the right solutions, and deliver projects that improve efficiency, reduce costs, or unlock new revenue.
Each entry should be clear, achievement-focused, and easy to scan. Use the following structure:
- Job title and employer: e.g., AI Consultant, TechAdvisory Group
- Location and dates: keep it concise (month/year is enough).
- One-sentence overview: briefly describe your consulting role and client focus.
- 3–5 bullet points of achievements: highlight key contributions with action verbs and numbers (e.g., “Deployed predictive models that reduced costs by £1.2M annually”).
Remember to focus on the experiences and responsibilities found in the job description. This way, you’ll show the employer you’re tailor-made for the role.
AI consultant CV work experience sampleV
AI Consultant
TechAdvisory Group, London
Jan 2021–November 2025
- Advised clients in finance and retail on AI adoption strategies, driving a 24% increase in efficiency.
- Developed predictive analytics models that reduced supply chain costs by £1.5M annually.
- Led executive workshops to align AI initiatives with business goals, achieving a 90% adoption rate of recommendations.
- Collaborated with technical teams to implement scalable AI solutions in AWS and Azure environments.
Highlight your education
Your education provides the foundation for an AI consultant’s CV, showing employers that you have the technical foundations to advise on complex AI projects. Degrees in Computer Science, Data Science, Artificial Intelligence, Engineering, or Mathematics are particularly valued, as they demonstrate the academic rigour needed for AI consulting roles.
Here is how to structure your education section:
- Degree title and classification: e.g., MSc Artificial Intelligence (Distinction).
- University name and dates: include start and end year.
- Relevant modules or coursework: highlight subjects like machine learning, natural language processing, or data analytics.
- Dissertation or thesis topics: mention if they directly relate to AI or consulting.
- Academic achievements: scholarships, honours, or awards that underline excellence.
If you’re an experienced AI consultant, you just need to focus on the first two bullet points. But if your experience is limited, showcasing additional information in your education section can be incredibly beneficial to your CV. These bullet points will substitute for your lack of work experience.
Example education entry for an AI consultant CV
MSc Artificial Intelligence (Distinction)
University of Edinburgh
2018–2019
- Modules: Machine Learning, Reinforcement Learning, Natural Language Processing, AI for Business Strategy.
- Dissertation: “Optimising Transformer Models for Enterprise Applications” – led to a 15% reduction in processing costs in simulated environments.
BSc Computer Science (First Class Honours)
University of Manchester
2015–2018
- Final project: Built an AI-driven recommendation system that improved accuracy by 22% compared to baseline models.
Showcase your AI consulting skills
Your AI consultant CV needs to highlight both the technical knowledge and the interpersonal strengths that make you effective in a consulting role. These fall into two categories:
- Hard skills are technical, measurable abilities such as programming, data modelling, or using cloud AI platforms.
- Soft skills are interpersonal and strategic qualities, such as communication, leadership, or client relationship management, that help you apply your technical expertise in a business context.
On a CV, you don’t need to separate these into two groups. Instead, create a single CV skills section that combines both. Aim for 6–10 skills in total.
Hard skills for an AI consultant CV
- Machine Learning
- Deep Learning
- Natural Language Processing
- Predictive analytics & data modelling
- Computer Vision
- Programming
- Cloud AI platforms
- MLOps tools
- Data visualisation
- Business intelligence integration
- AI ethics & responsible AI frameworks
- Consultancy methods
Desirable aptitudes to set you apart
- Strategic thinking
- Communication skills
- Problem-solving
- Client relationship management
- Leadership
- Team collaboration
- Adaptability
- Negotiation skills
- Time management
- Critical thinking
- Conflict resolution
- Presentation & storytelling
Enhance your AI consulting CV with bonus sections
While your core CV sections — profile, work experience, education, and skills — carry the most weight, adding well-chosen extras can make your CV much more impactful. These bonus sections show recruiters that you’re not only qualified but also actively engaged in the world of AI consulting.
Even if you don’t have paid work experience in AI consulting, bonus sections can still get you the job. Having strong theoretical knowledge, as proven by certificates, and practical expertise showcased in projects can still make you a strong candidate.
Here are some popular bonus sections for an AI consultant CV:
- Certifications: Prove your expertise and up-to-date knowledge of AI by listing recognised credentials such as AWS Certified Machine Learning, Azure AI Engineer, or TensorFlow Developer. These instantly boost credibility, especially in client-facing consulting roles.
- Projects & Portfolio: Demonstrate practical impact by showcasing key consulting projects. Include links to a GitHub, portfolio site, or case studies that highlight real-world AI solutions you’ve delivered.
- Publications: Position yourself as an industry voice by including articles, whitepapers, or conference talks. This shows you can not only implement AI, but also shape discussions about its use in business.
- Awards & Achievements: Highlight recognition from employers, industry bodies, or competitions. This signals excellence and helps you stand out in a competitive field.
- Languages: If you’re working with international clients, speaking multiple languages can be a major advantage in AI consulting. List any that are relevant to your target market.
- Professional Memberships: Membership in organisations such as the British Computer Society (BCS) or the IEEE demonstrates a commitment to continuous professional growth and adherence to industry standards.
Sample bonus sections for an AI consultant CV
Projects
- Deployed an AI-powered recommendation system for an e-commerce client, boosting sales by 18%.
- Designed an NLP chatbot for a healthcare provider, reducing call-centre load by 22%.
Certifications
- AWS Certified Machine Learning – Specialty | Amazon Web Services | Mar 2023
- Microsoft Certified: Azure AI Engineer Associate | Microsoft | Sep 2022
- TensorFlow Developer Certificate | TensorFlow | Jun 2022
- Deep Learning Specialisation | Coursera / DeepLearning.AI | Jan 2022
Format your AI consultant CV properly
Even the most impressive experience can be overlooked if your CV is poorly presented. Employers and Applicant Tracking Systems (ATS) prefer organised layouts that make information easy to find.
Properly formatting your AI consulting CV is simple. Just follow these steps:
- Font: Use easy-to-read CV fonts such as Arial, Calibri, Helvetica, or Garamond. Avoid decorative or script fonts.
- Font size: Use 10–11 pt for body text, 12–14 pt for section headings, and 14–16 pt for your name at the top.
- Margins: Keep margins between 1.5 cm and 2.5 cm. This ensures a balance between white space and content density.
- CV length: Aim for two pages. This gives enough space to highlight consulting experience without overwhelming the reader.
- Spacing: Use consistent line spacing (1.15–1.5) and add white space between sections for readability.
- Headings: Make section titles bold or slightly larger to help recruiters quickly navigate.
- File format: Save and send as PDF unless a job ad specifies otherwise. This keeps formatting intact across devices.
Dos and don’ts for an AI consultant CV
Highlight consulting projects and AI expertise most relevant to the job description.
Use metrics (e.g., “reduced processing costs by 20%” or “increased client revenue by £1.2M”).
Show not just your technical toolkit but also your ability to advise clients and drive strategy.
Use simple fonts, bullet points, and a logical layout.
Explain technical work in terms of client impact, not just algorithms.
Focus on results and the value your consulting delivered.
Communication, leadership, and stakeholder management are just as important as coding skills.
Brevity signals clarity of thought, a key trait for consultants.
Your nurse CV questions answered
What should I include in a nurse CV UK format?
A nursing CV for the UK should include:
- Professional summary that introduces your qualifications.
- Educational background (e.g. BSc in Nursing, certifications).
- Relevant experience (clinical placements, previous nursing roles).
- Key skills (communication, clinical knowledge, etc.).
- NMC registration and any specialist training or certifications.
What is the best way to write a nurse CV?
The best way to write a nurse CV is to keep it concise, clear, and easy to read:
- Use a template that is best fitting to nursing
- Outline the nursing positions you’ve held, with bullet points setting out the nature of the duties in each.
- List your nursing skills as short, sharp bullet points.
- Use our professional CV builder to make it quick and easy.
How long should a nursing CV be?
Aim for 1–2 pages.
- One page if you’re newly qualified.
- Two pages if you have extensive work experience or multiple roles.
How do you write your nursing credentials after your name?
Including your nursing credentials will show employers that you have the qualifications the job demands:
- Start with the highest degree you have, such as a BSc.
- As a registered nurse, follow with your registration with a body like the Royal College of Nursing – RCN.
- Add accreditations such as Advanced Level Nursing Practice (ANLP).
- If you’ve qualified to specialise in an area like community mental health nursing, you can add letters such as SCMH.
How much does a nurse earn?
Pay for a nurse begins at around £23,000 per year and can go all the way up to £100,000 per year, depending on experience and where you are working. It’s worth noting that the highest estimates on this pay scale are subject to specialised skills, experience, and the specifics of the position in question.
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Creating your nursing CV today!
Creating a CV for a nurse can be difficult, but it doesn’t have to be! With additional resources such as our CV examples and CV templates, you’ll have everything you need to land your perfect nursing job. Build an effective CV with our easy-to-use CV builder and find your next role today!
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