Sr. Machine Learning Engineer (VOIS)

Job Description

Who we are

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
#VOIS #BeUnrivalled #CreateTheFuture

About this Role

We are seeking a Senior Machine Learning Engineer to design and deliver end-to-end machine learning solutions that enable automation and innovation. This role involves developing ML pipelines, integrating models into production systems, and leveraging cloud technologies to build scalable solutions. The individual will work across multiple facets of projects, ensuring high-quality engineering practices and collaborating with cross-functional teams to meet business objectives

What you’ll do

• Design, develop, test, deploy, and maintain machine learning pipelines and workflows.
• Build and optimise ML algorithms for large-scale, real-world applications.
• Develop integrations and APIs for cloud-based environments.
• Deliver containerised microservices using Test-Driven Development (TDD).
• Create web applications and tools to support data scientists and enable customers to consume ML services.
• Implement automation workflows and ensure adherence to coding standards and best practices.
• Collaborate with planners and cross-functional teams to meet internal requirements.
• Provide technical support, troubleshoot issues, and mentor junior engineers.
• Conduct code reviews and contribute to a culture of high-quality engineering.

Who you are

• Strong foundation in computer science, including data structures and algorithm design.
• Proficient in programming languages such as Python, Java, JavaScript, or Go.
• Hands-on experience with machine learning libraries (e.g., Scikit-learn) and Python data science stack (Pandas, NumPy).
• Familiarity with deep learning frameworks and big data platforms (e.g., TensorFlow, Hadoop, Spark).
• Skilled in web technologies (HTML, CSS, JavaScript) and frameworks (Django, Flask, React.js).
• Experience with cloud platforms (AWS, GCP) and containerisation tools (Docker, Kubernetes).
• Knowledge of RESTful APIs and microservices architecture.
• 3–5+ years of experience in software engineering and machine learning.
• Strong problem-solving skills, proactive attitude, and ability to work in global, cross-functional teams.
• Excellent communication skills in English.

Not a Perfect Fit?

Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

What's in it for you

• Opportunity to work on cutting-edge machine learning and cloud technologies.
• Exposure to large-scale systems and complex engineering challenges.
• Collaborative environment fostering innovation and continuous learning.
• Career development programmes and global networking opportunities.

What skills you will learn

• Advanced ML pipeline design and optimisation.
• Cloud-native architecture and deployment strategies.
• Automation and orchestration techniques for scalable solutions.
• Agile methodologies and cross-functional collaboration.

VOIS Equal Opportunity Employer Commitment

Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.

Join Us

At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

Alert

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Follow us on social media and #StayConnected

• LinkedIn: https://www.linkedin.com/company/vois/
• Facebook: https://www.facebook.com/voisglobal
• Instagram: https://www.instagram.com/voisglobal/
• Chat with our employees: https://lnkd.in/dpkrcvR2