VodafoneThree: Machine Learning (ML) Engineer
Location: Newbury / London + Hybrid working
Working Hours: Full time 37.5 hours per week – Mon – Fri
Hybrid working allows employees to work both in the office and at home, providing flexibility and resources needed to succeed. Employees are expected to attend the office 2-3 days a week in consultation with their line manager.
Job Description
As an ML Engineer you will bridge the gap between data science experimentation and production‑grade, scalable ML systems. You will own the engineering excellence required to take validated models from data scientists and deploy them reliably across the organisation’s fragmented platform estate.
Key Roles & Responsibilities
- Design, build, and maintain ML deployment pipelines and model serving infrastructure for both real‑time and batch inference workloads across multiple platforms.
- Establish comprehensive model monitoring, alerting, and performance tracking systems in production environments to ensure reliability and early problem detection.
- Implement model versioning, reproducibility, and automated retraining workflows that enable fast iteration whilst maintaining stability.
- Partner with Data Scientists to productionise validated experimental models, translating research outputs into robust, maintainable systems.
- Contribute to platform standardisation efforts across the fragmented estate, identifying common patterns and opportunities for reuse.
- Design and implement CI/CD pipelines tailored for ML workloads, ensuring quality, traceability, and repeatability.
- Support governance and compliance requirements through technical documentation, audit trails, and reproducible deployment processes.
- Monitor and optimise compute resource allocation and infrastructure costs across platforms, applying FinOps principles.
- Collaborate with Analytics Engineering to ensure data pipeline reliability, quality, and performance for ML workloads.
- Contribute to team knowledge sharing and best practice documentation across the ML Engineering function.
Qualifications
We are looking for someone passionate and dedicated about ensuring our ML solutions are scalable, secure, and responsibly deployed.
- Proven experience in ML engineering or ML Operations roles with multiple production model deployments at scale.
- Strong Python programming skills with software engineering fundamentals: testing, version control, code quality, and design patterns.
- Hands‑on experience with ML platforms such as Azure AI Foundry, Azure ML, Databricks, GCP, or equivalent.
- Solid understanding of containerisation and orchestration technologies.
- Demonstrable experience designing and implementing CI/CD pipelines for machine learning workloads.
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 more. We help with your career through our learning tools and top‑notch parental leave policies.
Posting End Date: 24th July 2026
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 regulator’s standards.
We believe everyone should have the opportunity to interview for a role that matches your skills. In collaboration with our Talent, Diversity & Inclusion teams and employee‑led DEI Networks, we identified a range of reasonable adjustments to help you feel comfortable and perform at your best during the interview process. If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey—such as extended time or breaks between online assessments, a sign language interpreter, or assistive technology—please contact your recruiter directly or email jobs@three.co.uk 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.
#J-18808-Ljbffr…