Digital Degree Apprentice - (Level 6)

Siemens; Chippenham; On-site; GBP 21,000 - 30,000; Full time

Job summary

Siemens Mobility is launching a LEVEL 6 Machine Learning Engineer apprenticeship in the UK, targeting a 24-month programme with End Point Assessment. You’ll join the Digitalisation and Innovation team, delivering real-world rail digitalisation projects and guided by training providers and mentors.

The apprenticeship combines virtual day release with hands-on work, leading to a permanent role on successful completion and a focus on modernising rail infrastructure through data-driven solutions.

Qualifications

• Two A-levels in one or more subjects with a B in A-level Maths and at least 5 GCSEs (grade 4 or above) including Maths and English.
• Ability to think logically, self-learn, and take a creative approach to problem solving.
• Ability to work independently, safely and responsibly; take ownership of challenges and drive change.
• Enjoy collaborating with others to find innovative solutions.

Skills

Logical thinking

Self-learning

Problem solving

Collaboration

Independent work

Education

Two A-levels

A-level maths B

Five GCSEs incl maths & English

Job description

Duration: 24 Months + 4 months for End Point Assessment

Imagine contributing to projects that help move millions of people every day?

At Siemens Mobility, we're developing innovative transport solutions that are transforming the future of rail and making travel more sustainable. Start your career at the heart of that journey!

Embark on your journey with us, combining hands‑on experience with structured development. Through technical training, apprenticeship development days and mentoring, you’ll built your skills working on meaningful projects. You’ll collaborate with other apprentices across the business, present your achievements and deliver an Apprentice Excellence Project by proposing a change to a business process. You’ll be aligned to a role in the business from day one, giving you clear focus for your development throughout the programme and a permanent role to move into upon successful completion of your apprenticeship.

As an Apprentice, you will be working towards the achievement of an apprenticeship standard, with defined knowledge, skills and behaviour criteria that will be developed throughout your programme with us and your training provider.

This role will align to the LEVEL 6, Machine Learning Engineer apprenticeship standard.

The anticipated delivery model is virtual day release, with an estimated apprenticeship duration of 24 months. The expected provider for this programme is QA.

Siemens Mobility is a global market leader in Rail Infrastructure, shaping the future of transportation through cutting‑edge technology, digital innovation, and sustainable engineering. As part of our Rail Infrastructure business, you’ll join a team that is transforming how people and goods move, making rail travel safer, smarter, greener, and more efficient.

The remit of the Digitalisation and Innovation Function is to act as the centre of excellence for Digital Transformation and Innovation for the business, working across all Siemens Rail Infrastructure business units and collaborating across the other Siemens Mobility businesses.

Digital transformation is the integration of digital technology across all areas of a business, fundamentally changing how we will operate and deliver value to customers.

Working as part of the Digitalisation team, we are a flexible team with a broad set of skills and diverse specialist knowledge. You will work closely with our digital technology teams and domain experts to play a pivotal role in enhancing the efficiency of our project delivery lifecycle. By championing modular architectures, automation, and reusable digital frameworks, you will ensure our innovations move from concept to deployment with greater speed and precision.

You‘ll make a difference by:

• Ensure digital decisions and developments across the business are in line with our customers’ needs
• Develop digital initiatives to help our customers deliver excellent passenger and freight user experience
• Drive the business data strategy and develop innovative solutions to support our customers challenges
• Provide an infrastructure through which innovative thinking can spread across the business to aid in the development of new customer solutions

What you’ll need to succeed:

• You will have achieved or be on track to achieve two A-levels in one or more similar subjects plus B in A-Level maths and hold at least 5 GCSE's grade 4 or above including maths and English language
• Logical thinking, willing to self‑learn and research, and take a creative approach to problem solving
• Ability to work independently, safely and responsibly; take ownership of challenges and ideas and are looking to develop your ability to drive and lead change
• Enjoy collaborating with others to find innovative solutions

As part of our recruitment process, all applicants for apprenticeship positions will be required to provide proof of qualifications achieved, as well as any qualifications in progress, prior to any job offer being made. This ensures that candidates meet the necessary educational criteria for the role

Transform The Everyday with us

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and transform the every day with us!

We are a Disability Confident Leader and welcome applications from all individuals, including those with disabilities. If you require any reasonable adjustments during the recruitment process, please contact your recruiter, who will be happy to support you.

Want to know more about what Siemens does?

Discover the breadth of impact that Siemens makes on our society here !

'Belonging Transforms 'is at the heart of Siemens Equity, Diversity, and Inclusion. Learn more with this link .

We welcome the responsible use of AI tools to support your application and interview preparation. However, all information submitted must be your own, accurately reflect your skills and experience, and remain authentic to you. Candidates are responsible for verifying the accuracy of any AI-generated content used during the recruitment process.

Applicants to all Early Careers roles must have the legal, unrestricted right to work in the UK and must not require employer sponsorship now or in the future. We cannot consider applicants on Student, Graduate or other visas that would require sponsorship in the future to continue employment. Thank you for your understanding and interest in joining our team.

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