Machine Learning CV Example

A stronger, more engaging machine learning CV gives you the best chance of success. It can help you pass the ATS CV screening stage and impress the recruiter or hiring manager, increasing your prospects of reaching the interview stage. We’ll now go through the key sections of a CV and explain how to write them strategically.

Standard machine learning CV sections

Your strategy for writing a machine learning CV will depend heavily on your experience, your level of seniority and the requirements listed in the job description.

However, regardless of your years of experience, a machine learning CV needs to connect the dots of your career into a cohesive story. In the following sections, we’ll dive into the specific chapters of your CV step-by-step, showing you how to refine everything from your initial introduction to your long-term achievements.

CV Header

Start your machine learning CV by adding a professional-looking header that contains all your relevant contact information. Include your name, email address, phone number and location (your full address isn't typically necessary for UK job applications). Additionally, add your LinkedIn profile, if this is in use and up-to-date. A well-utilised LinkedIn profile can give further information to the reader about your skills, experience, industry knowledge and career achievements.

For jobs in the UK, a personal photo is usually not required on your CV. That, along with any other personal details such as age, gender, ethnicity and nationality, are generally discouraged under the terms of the Equality Act 2010, which aims to reduce and eliminate discriminatory practices, such as recruitment bias.

CV Summary

Underneath your contact information, write a brief CV summary or CV objective to introduce yourself and highlight a few key skills and qualities. This can help the employer to quickly form a first impression on your suitability for the machine learning engineer role. While a CV summary showcases your key skills and achievements in the context of your career to date, a CV objective provides an alternative approach. It focuses instead on your ambitions for the future, making it ideal for junior candidates without much work experience.

For either a CV summary or an objective, aim for a length of two or three sentences. Showcase a few key skills, personal qualities and career achievements or ambitions, always reviewing the job description as you write, to show how you fulfil the requirements of the role.

The most effective way to approach a CV summary is to focus on one or two key skills that reflect the requirements of the job description and show how you've used them to create positive outcomes for previous employers. You'll also want to showcase your unique personal strengths, and touch on how they've contributed to your career progression up to now. Below you'll find an example of a strong machine learning CV summary.

Above is an example of a less effective CV summary, with some subtle, yet notable differences. Your summary could miss the mark if it's too generic and doesn't describe unique personal qualities and strengths. It might also be vague, use long, unstructured sentences, lack quantifiable evidence of your impact, or not be tailored to the job description.

Work Experience

The work experience section of a CV is usually the most important part. Employers look for evidence of how you've developed and used your skills to good effect in your career to date, as an indication of your likely future performance. Always tailor this section of your CV, focusing on keywords and phrases that match the job description, so employers can assess how you might put the same skills and qualities to good use in the future.

Create a list of all your most relevant roles, going back up to 10 or 15 years if necessary. Include your job title, the name of the employer, its location and the dates you worked there. Include bullet points that explain how you put your skills to good use in each previous role.

To differentiate your work experience section from other candidates, include action verbs and quantifiable evidence that showcases the impact you made. Show your career progression through the skills you developed and used in each role. See below for an example of how to put the work experience section best practice into action:

Above you'll find a less effective example of a machine learning CV work experience section. A poor work experience section might look more like a generic list of responsibilities rather than an account of how you've used your skills to positive effect in previous roles. It might also include old or irrelevant job entries and lack tailoring to the job description.

Education and Qualifications

In your education section, list any formal qualifications you've gained, particularly those that are most recent or required for the role.

Machine learning engineer jobs tend to require a relevant university degree just to be eligible for the role, so you'll want to showcase this in your CV. If you have a Bachelor of Science (Hons) in Machine Learning or another related degree that makes you an eligible candidate for the position, add it to your CV. You could also add other degrees or qualifications that highlight your key skills, like GPU acceleration experience or Python programming proficiency.

When adding your qualifications to your education section, choose the highest relevant qualifications, and list them in reverse-chronological order, starting with your most recent. For each entry, include the name and level of the degree or certification, the institution, its location and your graduation date or dates of study. To emphasise your qualifications and achievements, you might wish to include one or two bullet points, which highlight things like specialist areas of study, projects, dissertations or society memberships.

If you have any specialist certifications or licences that are necessary for the role, or help you stand out above other candidates, you may wish to mention them here. When adding any special licences, it's a good idea to also reference their expiry or renewal dates, if applicable.

Key Skills

The skills section of a machine learning CV provides space for showcasing the key skills and qualities that set you apart as a candidate. You'll want to only include the most relevant skills, so review the job description and list hard and soft skills that match the requirements, while reserving some space to mention your own unique characteristics. For a machine learning CV, you'll want to focus on the most relevant skills for the role that match your skill set, including critical thinking and data visualisation expertise, to catch the reader's attention and show you're qualified for the machine learning engineer position.

Hard Skills

Hard and technical skills are the essential skills required for carrying out the everyday duties of the role. They might include specialist operation of certain software or equipment, or knowledge of certain industry standards and regulations. You could gain these skills via training, certifications or industry experience. For machine learning engineer roles, hard skills from your career experience, such as machine learning algorithm expertise, and GPU acceleration experience tend to be prioritised by employers and recruiters. Review the job description, and include four or five key hard skills in your CV that show employers you're capable of completing the key duties of the role.

The best hard skills section would be based around skills listed as 'essential' or 'required' in the job description. To give yourself the best chance of success, you'll want your strongest skills to match closely with those most desired by the employer, and your hard skills list should reflect this.

See below for examples of skills that are frequently included in the hard skills section of a machine learning CV:

Soft Skills

Soft skills are the personal strengths and qualities that show employers how well you'll fit into the role and complement other members of the team. Soft skills tend to be more transferable and applicable to different roles than hard and technical skills. As a result of rapid technological changes in the world of work, soft skills are becoming ever-more valued by employers. Soft skills can also be particularly valuable for junior or entry-level roles where candidates haven't necessarily had the time to develop hard skills and career achievements.

As with hard skills, review the job description to understand the best soft skills to mention in your machine learning CV. The best CV soft skills section includes specific skills that you can evidence with examples throughout your CV. Create a list of four or five transferable skills, combining the most essential skills from the job description with the skills that help you to stand out as a unique and compelling candidate for the position.

The section below provides an overview of soft skills often highlighted in a machine learning CV.

Language Skills

Including a section on language skills can be beneficial, if you speak at least one language to a reasonable level of competency, in addition to your mother tongue. This is true even if language skills aren't a requirement for the role, as foreign language abilities often correlate to other valuable soft skills. List any foreign languages you speak, together with an indication of your proficiency level.

There are several methods of confirming your foreign language skills on your CV. The simplest way is by assigning a basic descriptive word, such as:

• English: Fluent
• Spanish: Intermediate

You could otherwise use an internationally recognised language standard, such as the Common European Framework of Reference (CEFR). This assigns your language skills a standardised level of competence, as follows:

• A1: Beginner
• A2: Elementary
• B1: Intermediate
• B2: Upper intermediate
• C1: Advanced
• C2: Proficiency

Certifications

If you've invested your time and resources into gaining extra qualifications beyond the minimum requirements for the role, you could highlight these in a certifications section. It can enhance your chances of success to show specific training and certifications. Not only do these prove you're qualified for the role, but they also indicate proactivity and a dedication to professional development. Furthermore, a certifications section is particularly valuable if you're applying for a role that sets out required certifications or licences in the job description. These might include technical roles that require the use of specialist software or equipment.

Here is a list of some key certifications and licences that can be particularly useful for machine learning engineer applications:

Optional Sections

In addition to the core sections of your CV, optional sections can be a useful way of proving you've got the necessary machine learning engineer skills. If you're struggling to show all the necessary skills for the job through your work experience or other core sections, optional sections can give your CV the boost it needs to progress you to the interview stage. This could be particularly helpful for entry-level candidates or career changers.

You’ll find more in-depth guidance on structuring your CV in our career resources, designed to help you present your skills as effectively as possible.

Hobbies and Interests

Hobbies and interests are a legitimate way to showcase your skills, if you have any hobbies relevant to the role. In addition, hobbies and interests can showcase your personality, helping to differentiate you from other candidates. However, hobbies and interests can only add value to your CV if they provide evidence of skills and experience that you can use in the role you're applying for. As such, only add hobbies as a way of filling gaps in the skills you've developed or used through work experience.

Achievements and Awards

Including an achievements and awards section is an effective way of showing the reader the value you've added for employers in your career to date. In your list, add any awards you've won, industry recognition or key career milestones that tell a story about your suitability for the role and place you ahead of other candidates.

Volunteering

Another valuable optional section for your CV is volunteering. This section can offer a great alternative showcase for your skills and experience, if you don't have much relevant work experience. Consider adding this section if you have any relevant unpaid experience, either as a junior candidate or a career changer. Your volunteering section should follow much the same structure as your work experience section.

Add a description of the volunteer role or a job title if you had one, the name of the organisation, its location and the start and end date of your volunteering. List bullet points that show how you put relevant skills to good use to create positive results for the organisation.

Top action words to use in a machine learning CV

Starting each of your work experience bullet points with strong action verbs is a great way to showcase your key skills and qualities, and demonstrate the impact they've had in your career to date. Start each bullet point with a verb linked to the skills required in the job description, to add focus to your work experience section and make it easy for the reader to identify your strengths. When adding action verbs to your work experience bullet points, just remember to always provide quantifiable evidence that shows the value you added for each employer. Use past tense for any action verbs that describe previous roles (for example, 'developed') and present tense for current roles (for example 'collaborating').

Machine learning CV example

Now you know how to create a machine learning CV for maximum impact, take a look below at this full, completed example:

If you want a sneak preview of what your one-page, fully designed and finalised CV might look like, see our completed examples.

How to make your CV ATS compatible

Employers and recruiters now routinely use applicant tracking systems (ATS) to ease the burden of the selection process. One of the key functions of these systems is CV screening, which reviews CVs and ranks them based on their likely fit for the role. By taking on this task, the systems can save hiring managers the time and effort of reviewing every CV in detail. With vacancies regularly receiving hundreds of applications, this can increase the efficiency of the recruitment process.

The increasing usage of ATS apps by recruiters and employers means it's critical to adapt and prepare your applications to successfully navigate this stage of the selection process. Following the tips below will give you everything you need for an ATS-compatible CV:

• Include keywords and phrases that mirror the job description, increasing your chances of ranking highly in the ATS screening stage.
• Use standard CV headings that clearly identify each section, such as 'work experience', 'education' and 'skills'.
• Choose a standard CV layout, avoiding special design elements such as text boxes, columns or unlabelled graphics that can confound ATS scanning apps.
• Select a font that enhances the readability of your CV, including recognised serif and sans serif fonts between sizes 10 and 12 for body text, and 14 and 16 for headings.
• Use bullet points throughout your CV in place of full sentences. This serves a few purposes, reducing the overall length, helping keywords stand out and making it overall more scannable by ATS apps.

You might feel there are a lot of things to remember when writing an ATS-compatible CV, but with just a few small tweaks, you can ensure yours passes this stage. Use one of our expert-designed, ATS-compatible CV templates to avoid the stress of adapting your CV for ATS screening.

Key takeaways for success with your machine learning CV

For the best chance of impressing employers, always tailor your CV for every application and include keywords and phrases that reflect the job description. Select a suitable CV format that reflects your experience level, and focus on highlighting your key skills, and demonstrating how you've put them to good use to achieve positive outcomes in your career to date.

Finally, building your CV using Jobseeker's HR-approved CV templates can help to catch the eye of recruiters and hiring managers, making your application stand out and giving you the best chance of gaining your dream job.

Citations:

1. Barnet Council (UK local government), Recruitment tips: How to write a supporting statement
2. Jobseeker, HR Statistics