Engineering Manager ML ops
Engineering Manager ML ops
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Job Description
dunnhumby is the global leader in Customer Data Science empowering businesses everywhere to compete and thrive in the modern datadriven economy. We always put the Customer First.
Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail one of the worlds most competitive markets with a deluge of multidimensional data dunnhumby today enables businesses all over the world across industries to be Customer First.
dunnhumby employs nearly 2500 experts in offices throughout Europe Asia Africa and the Americas working for transformative iconic brands such as Tesco CocaCola Meijer Procter & Gamble and Metro.
We are seeking a talented Engineering Manager with ML Ops expertise to lead a team of engineers in developing product that help Retailers transform their Retail Media business in a way that helps them achieve maximum ad revenue and enable massive scale.
As an Engineering Manager you will play a pivotal role in designing and delivering highquality software solutions.
You will be responsible for leading a team mentoring engineers contributing to system architecture and ensuring adherence to engineering best practices. Your technical expertise leadership skills and ability to drive results will be key to the success of our products.
What you will be doing
You will lead the charge in ensuring operational efficiency and delivering highvalue solutions. Youll mentor and develop a highperforming team of Big Data and MLOps engineers driving best practices in software development data management and model deployment. With a focus on robust technical design youll ensure solutions are secure scalable and efficient.
Your role will involve handson development to tackle complex challenges collaborating across teams to define requirements and delivering innovative solutions. Youll keep stakeholders and senior management informed on progress risks and opportunities while staying ahead of advancements in AI/ML technologies and driving their application. With an agile mindset you will overcome challenges and deliver impactful solutions that make a difference.
Technical Expertise:
- Proven experience in microservices architecture with handson knowledge of Docker and Kubernetes for orchestration.
- Proficiency in ML Ops and Machine Learning workflows using tools like Spark.
- Strong command of SQL and PySpark programming.
- Expertise in Big Data solutions such as Spark and Hive with advanced Spark optimizations and tuning skills.
- Handson experience with Big Data orchestrators like Airflow.
- Proficiency in Python programming particularly with frameworks like FastAPI or equivalent API development tools.
- Experience in unit testing code quality assurance and the use of Git or other version control systems.
Cloud and Infrastructure:
- Practical knowledge of cloudbased data stores such as Redshift and BigQuery (preferred).
- Experience in cloud solution architecture especially with GCP and Azure.
- Familiarity with GitLab CI/CD pipelines is a bonus.
Monitoring and Scalability:
- Solid understanding of logging monitoring and alerting systems for productionlevel big data pipelines.
- Prior experience with scalable architectures and distributed processing frameworks.
Soft Skills and Additional Plus Points:
- A collaborative approach to working within crossfunctional teams.
- Ability to troubleshoot complex systems and provide innovative solutions.
- Familiarity with GitLab for CI/CD and infrastructure automation tools is an added advantage.
What you can expect from us
We wont just meet your expectations. Well defy them. So youll enjoy the comprehensive rewards package youd expect from a leading technology company. But also a degree of personal flexibility you might not expect. Plus thoughtful perks like flexible working hours and your birthday off.
Youll also benefit from an investment in cuttingedge technology that reflects our global ambition. But with a nimble smallbusiness feel that gives you the freedom to play experiment and learn.
And we dont just talk about diversity and inclusion. We live it every day with thriving networks including dh Gender Equality Network dh Proud dh Family dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. For an informal and confidential chat please contact to discuss how we can meet your needs.
Our approach to Flexible Working
At dunnhumby we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others so if this is important to you please raise this with your recruiter as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Required Experience:
Manager
Employment Type
Full Time
