Large Language Model (LLM) Engineer CV Template Example
As a career coach with over 25 years of experience guiding ambitious professionals, I know just how important it is to create a CV that not only demonstrates your skills but also inspires confidence in employers. One of the most in-demand roles of today is the Large Language Model (LLM) Engineer. These highly skilled professionals are responsible for designing, training, and fine-tuning machine learning systems, particularly large-scale natural language models used in everything from search engines and chatbots to enterprise automation solutions.
The job description for an LLM Engineer typically includes developing innovative algorithms, optimising data pipelines, working with cutting-edge deep learning frameworks, and collaborating with product teams to deploy AI-driven applications. In terms of salary, the UK market offers highly competitive packages for this role, often ranging from £70,000 to over £130,000 per annum, depending on experience, industry, and company size. For senior-level experts, salaries can climb even higher, reflecting the increasing reliance businesses have on AI-driven technology.
With such lucrative opportunities available, it is absolutely essential that your CV reflects not just your technical expertise, but also your ability to add value to an organisation. Employers hiring for this position will expect an interview-winning CV that captures both your engineering skills and your wider strategic understanding of AI deployment. That is why I’ve put together this comprehensive guide and LLM Engineer CV template example, along with tips to help you stand out in this competitive field.
Why an LLM Engineer CV Needs to Be Different
Unlike traditional software engineers, LLM Engineers need to demonstrate advanced knowledge in machine learning, data science, and natural language processing (NLP). Recruiters are not only looking for hands-on coding ability but also research-level expertise, strong academic grounding, and practical examples of deploying large-scale AI systems.
Your CV should therefore:
Show mastery of deep learning frameworks (TensorFlow, PyTorch, Hugging Face).
Demonstrate experience in training and fine-tuning LLMs for real-world applications.
Include measurable achievements (e.g., improved model accuracy by 15%, reduced inference time by 40%).
Communicate complex technical work in clear, business-friendly terms.
The combination of technical depth and commercial impact is what makes an LLM Engineer CV stand out.
Essential CV Structure for an LLM Engineer
While no CV should ever be identical, there is a structure that consistently works well for AI-focused professionals:
Professional Profile – A concise, compelling summary of who you are, your expertise, and your career highlights. This is your elevator pitch on paper.
Key Skills – A targeted list of technical and soft skills relevant to the role. For example: LLM training, NLP optimisation, transformer architectures, MLOps, cloud platforms (AWS, Azure, GCP).
Professional Experience – Chronological work history showcasing achievements with quantifiable outcomes. Include internships or research assistantships if relevant.
Education & Research – Particularly important for LLM Engineers, as many employers value advanced degrees (MSc, PhD). List notable publications if applicable.
Projects & Contributions – Open-source contributions, research collaborations, or hackathon wins can demonstrate your passion and credibility.
Certifications & Professional Development – AWS Machine Learning Speciality, Google Cloud ML Engineer certification, or similar.
Additional Information – Languages spoken, professional memberships, or community involvement in AI/ML spaces.
Crafting a Powerful Professional Profile
A professional profile is the most-read section of your CV. For an LLM Engineer, it should position you as a subject matter expert while remaining approachable. Here’s how:
Keep it between 4–6 sentences.
Mention your years of experience, specialist skills, and areas of impact.
Include industry keywords (AI, NLP, deep learning, transformers, generative AI).
End with a forward-looking statement about what you offer employers.
Example: “Innovative Large Language Model Engineer with 6+ years’ experience in designing, training, and optimising advanced NLP systems. Adept at leveraging deep learning frameworks such as PyTorch and Hugging Face Transformers to deliver scalable, high-performing AI solutions. Skilled at translating cutting-edge research into real-world business applications, with a track record of improving model accuracy and reducing operational costs. Excited to contribute technical expertise and strategic insight to organisations driving the future of AI innovation.”
Key Skills to Include on Your LLM Engineer CV
Recruiters often scan CVs for keywords before shortlisting candidates. As such, you should ensure your skills list is tailored to match the job description. For an LLM Engineer, these could include:
Natural Language Processing (NLP)
Transformer Models (GPT, BERT, LLaMA, Falcon)
Deep Learning Frameworks (PyTorch, TensorFlow, Hugging Face)
Model Fine-Tuning & Optimisation
Reinforcement Learning with Human Feedback (RLHF)
MLOps & Deployment Pipelines
Cloud Computing (AWS, GCP, Azure)
Data Engineering & Preprocessing
Research & Publication in AI/ML
Cross-functional Collaboration & Communication
Advice for Graduates Aspiring to LLM Engineering Roles
Graduates entering the job market for the first time often feel daunted, especially when competing with more experienced candidates. My advice is to focus on potential, academic achievements, and transferable skills.
Highlight relevant coursework, dissertations, and projects in NLP or AI.
Include internships, even short ones, that exposed you to machine learning.
Showcase GitHub projects or Kaggle competitions where you built or trained models.
Emphasise your willingness to learn, adapt, and contribute to a team environment.
Remember, employers don’t expect graduates to have all the answers, but they do want to see curiosity, initiative, and strong foundations.
Advice for Mid-Level LLM Engineers
If you’ve been in the field for a few years, your CV should now demonstrate real-world impact. Recruiters want to see that you can take ownership of projects and deliver measurable improvements.
Use bullet points in your experience section that highlight tangible results: “Reduced model latency by 25% leading to faster customer response times.”
Show progression in responsibility: from junior engineer to leading small teams or mentoring others.
Mention collaborations with product managers or data scientists to show cross-disciplinary effectiveness.
Advice for Senior LLM Engineers and Managers
At senior level, technical expertise is still vital, but strategic leadership becomes just as important.
Showcase team leadership, hiring, and mentoring responsibilities.
Highlight how you influenced company AI strategy, not just project delivery.
Include achievements that demonstrate ROI, cost-saving, or commercial growth due to your AI work.
Consider adding a section titled “Key Achievements” to spotlight 3–4 standout contributions.
Do’s and Don’ts of Writing an LLM Engineer CV
Do’s:
Tailor your CV to each role by matching keywords to the job description.
Use clear, concise language that even non-technical recruiters can understand.
Quantify your achievements with numbers and measurable results.
Keep the layout clean, professional, and ATS (Applicant Tracking System) friendly.
Don’ts:
Don’t overload your CV with dense technical jargon—make it accessible.
Don’t include outdated programming languages or irrelevant experience.
Don’t exceed two pages unless you are at senior or academic research level.
Don’t forget to proofread—mistakes in grammar or formatting undermine credibility.
Final Tips for Success
Creating an interview-winning LLM Engineer CV requires a balance of technical knowledge, evidence of impact, and clear communication. Remember to:
Start strong with a compelling profile.
Structure logically with sections that recruiters expect.
Show not just what you did, but the difference it made.
Tailor each application to align with the employer’s priorities.
Your CV is your personal brand document—it should not only open doors but also position you as a thought leader in the AI/LLM space.
Take the Next Step – Book Your CV Consultation
If you want to ensure your LLM Engineer CV and LinkedIn profile stand out in today’s competitive AI job market, I’d be delighted to help you. With over 25 years of career coaching experience, I specialise in transforming CVs into powerful marketing tools that win interviews. Don’t leave your career success to chance—let’s craft a CV that truly showcases your expertise and potential.
👉 Book your appointment today
and take the first step towards your next big AI career opportunity.
