Location: Newbury office + *Hybrid
Salary: £26,300 (non-London) and £28,940 (London), plus annual performance bonus and VodafoneThree benefits
Working Hours: Full time 37.5 hours per week - Mon to Fri
Who we are
We're here to build a network the UK can count on - one that connects people, places and potential. At VodafoneThree we're not just expanding connectivity, we're reimagining what a connected nation looks like. With £11bn invested in 5G and digital infrastructure, your work will directly power businesses, services and communities across the country.
We're creating more than the UK's best network. We're helping close the digital divide, empower communities and drive meaningful progress - today.
Welcome to a place where you're connected
At VodafoneThree, you won't just start an apprenticeship, you'll start shaping a future. From your very first day, you'll be welcomed into a community that knows the value you bring, supported by experienced mentors who guide, encourage and challenge you. You'll work on meaningful projects that help build the UK best network, all while developing your confidence, capability and skills.
Whatever path you're stepping from - sixth form, college or a career change - this is where you take your next step with purpose. Here, you'll find an environment built on collaboration, shared experience and teams who always have your back. This is a place where people know you, where your contribution matters and where you become part of something bigger.
What you'll do
You'll join VodafoneThree's network team - where our mission is to build the UK's best network. We'll connect millions of people and businesses across the country. Be part of the team that makes it all happen - simplifying, automating, and bringing better connectivity than ever before, with giga-fast speed, to our customers.
As a Machine Learning apprentice, you'll design, build, and maintain machine learning and artificial intelligence (AI) solutions that solve business problems, drive innovation, and support VodafoneThree's goals.
You will:
- Gather and responsibly source data for machine learning and AI projects.
- Build the Network Knowledge required for this role through eLearning.
- Develop, test, and deploy machine learning models using appropriate algorithms and features.
- Monitor model performance and maintain accuracy in live environments.
- Build your AI skills the right way by learning how to handle data safely and ethically while keeping security and sustainability in mind.
- Team up and collaborate with experts across the business such as Data Scientists, Engineers, Product Managers, and more.
- Staying current with AI developments and supporting business continuity through responsive technical support and risk mitigation.
Alongside your day-to-day role, you'll study toward a Level 6 Machine Learning apprenticeship, delivered by one of our trusted training partners.
Who you are
- You're excited to get hands-on with the latest AI innovations, experimenting with emerging technology to see what's possible.
- You're committed to doing AI the right way, putting privacy, ethics and security at the heart of how you handle and develop solutions.
- You must hold a minimum of 5 GCSEs including English & Maths at Grade 4/C or above, plus one of the following by September 2026:
- A-Levels
- A Level 3 apprenticeship in a related subject
- An equivalent Level 3 qualification. - Must meet UK Government apprenticeship levy funding eligibility requirements.
Worried that you don't meet all the desired criteria exactly?
We know that everyone is unique, with multiple aspects to their identity and different experiences behind them. We are passionate about Inclusion for All and creating a workplace where everyone can thrive, whatever their personal or professional background. If you're excited about this role but your experience doesn't align exactly with every part of the job description, we encourage you to apply as you may be the right candidate for this role or another role, and our recruitment team can help you see how your skills fit in.
*Hybrid
We believe that through collaboration and connection with our colleagues we can achieve great things. Our hybrid working approach allows our people to work both in the office and at home, providing the flexibility and resources you need to succeed in your role. We ask people to come into the office 2-3 days each week, for at least 8 days per month, though some roles may require more on-site presence. You should work with your line manager to understand what their expectations are for you, your specific role and your team.
What we offer
We care about our people's success by offering great pay, bonuses, up to 28 days off plus bank holidays, and paid time for charity work. You can personalise our benefits for you and your family, like discounts, vouchers, a pension plan and loads more. We help with your career through our amazing learning tools and top-notch parental leave policies.
Application process
At VodafoneThree, we believe in creating a hiring process that empowers everyone to be at their best.
This involves the following steps: Eligibility questions Online assessment - includes a video interview, an image-based personality questionnaire and a logical reasoning assessment Assessment centre or interview Applications close on the 27th of March 2026, however, we may close early if we've received some game changing applications - so make sure you apply early!
Need to know
We are regulated by the Financial Conduct Authority and all offers of employment for this role are subject to background checks, including criminal (DBS) and financial checks to meet the regulators standards.
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, a sign language interpreter, or assistive technology, please refer to the Accessibility section of our Careers website https://careers.vodafone.com/uk/reasonable-adjustments/ for guidance.
We use AI in different parts of our business to boost innovation, improve efficiency, and create new opportunities. We know many candidates use AI to fine-tune their CVs or prepare for interviews, but what we really care about is your unique experiences and achievements.
During the interview, we want you to rely on your own knowledge and skills to show us who you really are - your personality, creativity, and abilities. Above all, we're looking for authenticity and can't wait to get to know the real you.
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