Senior Machine Learning Engineer

DraftKings; Greater London; Hybrid; GBP 80,000 - 110,000; Full time

Job summary

A leading technology company in London is seeking a Senior Machine Learning Engineer to design and refine efficient pipelines for machine learning models. The ideal candidate will have significant experience in machine learning and Python, along with leadership capabilities. This role involves collaborating with multi-disciplinary teams to adopt best practices in a dynamic environment. Candidates should be open to ongoing learning and mentoring others. Join a company that is redefining the gaming industry with innovative technologies.

Qualifications

• 5+ years of engineering experience with 2+ years building and operating ML/AI Systems.
• Deep understanding of machine learning and statistics applied to real-world challenges.
• Skilled in full machine learning lifecycle management, from preparation to monitoring.

Responsibilities

• Design and refine pipelines for training, evaluating, and deploying ML models.
• Implement testing and statistical analysis frameworks for model validation.
• Enhance model readiness for production, optimizing efficiency and resources.

Skills

Engineering experience

Machine learning knowledge

Python programming

Leadership skills

Communication skills

Tools

Databricks

Kubernetes

Terraform

Job description

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.

The Crown Is Yours

WHAT YOU’LL DO AS A SENIOR MACHINE LEARNING ENGINEER

• Design and refine efficient pipelines for training, evaluating, and deploying machine learning models.
• Implement robust testing and statistical analysis frameworks for validating machine learning model performance.
• Enhance model readiness for production, optimizing computational efficiency, latency, and resource use.
• Establish real-time performance tracking, addressing data drift and model decay for accuracy maintenance.
• Collaborate within multi-disciplinary teams to design, build, and deploy scalable ML applications.
• Lead the adoption of machine learning best practices and innovations, including ethical AI considerations.

WHAT YOU’LL BRING

• 5+ years of engineering experience with 2+ years building and operating ML/AI Systems
• Deep understanding of machine learning and statistics applied to solve real-world challenges successfully.
• Skilled in full machine learning lifecycle management, from data preparation to deployment and monitoring.
• Expert in Python with experience in other languages or tools, beneficial for scaling ML deployments.
• Experience with platform and infrastructure technologies, including Databricks, Kubernetes, and Terraform.
• Excellent leadership and communication skills, capable of influencing within and across teams and stakeholders.
• Committed to ongoing learning and staying current with industry trends and emerging ML technologies.
• Coaching and mentoring other team members, helping them develop.
• The ability to work with autonomy, identifying and actioning technical initiatives.

Join Our Team

We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.