Wiraa
Machine Learning Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About The Company
Halfords is a leading retailer specializing in motoring and cycling products, dedicated to building the future of mobility and active lifestyles. As a company committed to innovation and continuous improvement, Halfords is on a journey to modernize its offerings and enhance customer experiences through technological advancements. The organization fosters a culture of co-creation, encouraging employees to take ownership, make impactful contributions, and be part of an evolving environment. With a focus on delivering practical, scalable solutions, Halfords leverages cutting-edge technology to connect business decisions with real commercial and customer outcomes. The company values diversity, inclusion, and professional growth, providing a supportive workplace where employees can thrive and contribute to shaping the future of retail in its industry.
About The Role
As a Machine Learning Engineer within the Data & Analytics team at Halfords, you will play a pivotal role in transforming machine learning models into robust, production-ready solutions that generate tangible business value. This position involves working at the intersection of software engineering, MLOps, and data science to develop frameworks, pipelines, and services that facilitate the deployment, monitoring, scaling, and integration of machine learning models into customer-facing and operational systems. You will collaborate closely with Data Scientists to understand their experimental models and assist in transitioning these into scalable, maintainable, and secure enterprise solutions. Your responsibilities will include designing CI/CD pipelines, automating model retraining processes, building APIs, and implementing monitoring systems to ensure ongoing model performance and reliability. The role offers an exciting opportunity to contribute to a data-driven transformation, embedding AI and machine learning into core business processes and customer journeys, with backing from senior leadership and a clear strategic vision. If you enjoy solving complex engineering challenges and making a real-world impact through AI, this position provides a platform to advance your skills and influence the future of retail technology at Halfords.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Qualifications
- Proven experience deploying machine learning solutions into production environments
- Strong understanding of version control practices, including Git, branching strategies, and release management
- Proficiency in Python, with solid software engineering skills, including testing and code quality best practices
- Experience building CI/CD pipelines and MLOps frameworks for automated deployment and retraining
- Hands-on experience with Azure Databricks or similar platforms such as MLFlow, KubeFlow, or SageMaker
- Experience developing APIs, microservices, and cloud-based solutions integrating machine learning models
- Excellent collaboration and communication skills to work effectively with Data Scientists, Engineers, Architects, and Business Analysts
- Knowledge of cloud-native technologies and scalable enterprise architecture
- Degree in Computer Science, Data Science, Software Engineering, or related field (preferred but not mandatory)
Responsibilities
- Partner with Data Scientists to transition experimental models into scalable, production-ready applications and services
- Design, develop, and maintain MLOps frameworks, deployment pipelines, and automated model lifecycle management processes
- Create and support CI/CD pipelines, version control systems, and automated testing for machine learning solutions
- Build APIs, services, and integration patterns to embed machine learning models within business systems and customer-facing applications
- Implement model monitoring, performance tracking, drift detection, and automated retraining to ensure ongoing reliability and business value
- Utilize cloud-native technologies such as Azure Databricks, MLFlow, and related platforms to support enterprise-scale workloads
- Collaborate with Data Engineers, Architects, and Developers to deliver secure, scalable, and maintainable machine learning solutions
- Maintain documentation and best practices for deployment, monitoring, and scaling of machine learning models
- Stay updated with emerging trends and technologies in MLOps and data science to continuously improve processes
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Benefits
- Competitive salary complemented by a car allowance
- Annual discretionary bonus scheme
- Comprehensive pension scheme and life assurance
- 25 days of annual leave plus bank holidays and enhanced family leave
- Hybrid working model combining support centre and remote work
- Access to a wide range of employee discounts across Halfords products and services
- Resources and support for personal and professional development
- Wellbeing initiatives and active colleague networks promoting inclusion and diversity
Equal Opportunity
Halfords is an equal opportunities employer committed to creating an inclusive workplace for all colleagues. We welcome applications from individuals of all backgrounds and experiences, embracing diversity within our organization. We believe that a diverse workforce fosters innovation and reflects the communities we serve. All employment decisions are made based on merit, qualifications, and business needs, without regard to race, gender, age, religion, sexual orientation, disability, or any other protected characteristic. We are dedicated to providing a supportive environment where everyone can thrive and reach their full potential.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location