Lead Machine Learning Engineer (Remote)

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

The Technology, Software Solutions, and Innovation (TSSI) team is at the forefront of combining data, technology, and data science to create transformative products and services for our clients. As a Lead Machine Learning Engineer, you will lead the development of Experian's AI platform and machine learning models, including cutting-edge solutions leveraging generative AI (GenAI). This is a unique opportunity to shape the future of AI-driven products, addressing challenges such as model scalability, fairness, and explainability.

You will work with a team of engineers and scientists to design scalable ML solutions, develop advanced pipelines, and deliver impactful models for real-world applications. Beyond technical contributions, you'll help define Experian's technical culture, establish best practices, and drive innovation across our AI initiatives.

You will report to the Director of Machine Learning Engineering.

You'll have the opportunity to:

• Develop and Operationalize Machine Learning Models:
  • Design, build, and deploy scalable ML frameworks and pipelines to support structured and unstructured data use cases.
  • Lead the development of custom models, including LLMs and traditional ML algorithms, for credit risk, fraud detection, and customer insights.
• Shape Experian's AI Platform:
  • Oversee the creation of advanced tools and services for training, fine-tuning, and deploying models, including generative AI applications.
  • Ensure robust system architecture to handle high-volume data and rigorous model evaluations.
• Leadership and Collaboration:
  • Mentor a diverse team of engineers and scientists, setting standards for high-quality development.
  • Work with product managers, end-users, and stakeholders to align technical solutions with the business goals.
• Advance AI Excellence:
  • Handle challenges such as model bias, fairness, and explainability.
  • Establish best practices for model development, automation, and streamlined processes to deliver reliable, production-ready AI systems.

Qualifications

Your background:

• 5+ years of experience
• Deep experience with current-generation ML algorithms and frameworks (e.g., XGBoost, PyTorch, Tensorflow) and hands-on expertise with generative AI (e.g., fine-tuning GPT, reinforcement learning).
• Programming skills in Python (e.g., Pandas, NumPy, PyTorch, LlamaIndex, Langchain, Haystack) and experience with platforms like AWS SageMaker, Databricks, GCP, Snowflake or Azure.
• Experience building and maintaining large-scale ML systems in production, including data pipelines and orchestration tools (e.g., Kubernetes, Jenkins).
• Experience with asynchronous REST API development, cloud infrastructure, and DevOps practices.
• Familiarity with testing, troubleshooting, and triaging production issues.
• Domain expertise in financial services, credit modeling, or healthcare analytics is a plus.

Benefits/perks:

• Great compensation package and bonus plan.
• Core benefits, including medical, dental, vision, and matching 401K.
• Flexible work environment, ability to work remotely, hybrid, or in-office.
• Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays.

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.