Lead, Machine Learning Engineer
Job Title: Lead, Machine Learning Engineer
About the Function:
Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster.
Our D&T team includes some of the most dedicated digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we'll help you become the best you can be, creating career-defining work and delivering breakthrough thinking.
About the team:
About the role: (TE)
- About Diageo:
Diageo is the world's leading premium drinks company with Outstanding collection of brands, such as Johnnie Walker, Smirnoff, Baileys, Captain Morgan, Tanqueray and Guinness. With over 200 brands in 180 countries and a global network of daring individuals, our teams blend a diverse range of experience, knowledge and skills. We connect customers and consumers to our iconic products and build innovative experiences that bring people together to celebrate life.
- Who we are:
The Digital & Technology vision is to own the way in the transformation of Diageo business capabilities, demonstrating data & digital technology, to build a driven edge in the marketplace.
About the Function:
Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help craft the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster.
Our D&T team includes some of the most dedicated digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we'll help you become the best you can be, creating career-defining work and delivering breakthrough thinking.
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- 6 to 8 years of hands-on experience working on ML engineering
- Experience in end-to-end model development life cycle spanning (but not limited to) data sampling, model training, deployment, and performance evaluation
- Expertise in Python with the ability to write performant production-quality code
- Familiarity with SQL, knowledge of spark and cloud data environments (Azure cloud services)
- Experience of using Azure DevOps, ADF, MLFlow, Feature Stores etc.
- Knowledge of building and deploying CI/CD pipelines
- Validated understanding of machine learning algorithms and techniques
- Experience working on large scale machine learning projects, handling big data, and distributed computing frameworks like Hadoop or Spark.
- Proficient in data manipulation, data preprocessing, and feature engineering. - Strong problem-solving and analytical skills.
- Experience of working in an Agile framework
Experience / skills required: (TE)
Flexible Working Statement: Flexibility is key to our success. From part-time and compressed hours to different locations, our people work flexibly in ways to suit them. Talk to us about what flexibility means to you so that you're supported from day one.
Rewards & Benefits Statement: (TE)
Diversity statement: Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this.
We embrace diversity in the broadest possible sense. This means that you'll be welcomed and celebrated for who you are just by being you. You'll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, mindsets, and more.
Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world.
Feel inspired? Then this may be the opportunity for you.
If you require a reasonable adjustment, please ensure that you capture this information when you submit your application.
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- FSA With Employer Contribution
- HSA
- HSA With Employer Contribution
- Fitness Subsidies
- Pet Insurance
- Mental Health Benefits
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
- Adoption Leave
Work Flexibility
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Casual Dress
- Happy Hours
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
- Volunteer Time Off
Financial and Retirement
- 401(K)
- Pension
- Stock Purchase Program
- Performance Bonus
- Relocation Assistance
Professional Development
- Tuition Reimbursement
- Promote From Within
- Mentor Program
- Access to Online Courses
- Lunch and Learns
- Internship Program
- Leadership Training Program
- Associate or Rotational Training Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
- Woman founded/led
Company Videos
Hear directly from employees about what it is like to work at Diageo.