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For Companies At a Glance
- Tasks: Design and improve scalable ML systems, collaborating with data scientists and engineers.
- Company: Join DraftKings, a leader in AI innovation and customer experience transformation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of AI while working on impactful projects in a dynamic environment.
- Qualifications: 4+ years in ML Platform or MLOps, strong Python skills, and cloud infrastructure knowledge.
- Other info: Mentorship opportunities and a chance to influence cutting-edge technology.
The predicted salary is between 48000 - 72000 £ per year.
Overview
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
Senior ML Platform Engineer
As a Senior Machine Learning Platform Engineer at DraftKings, you will play a key role in designing, building, and improving the systems that enable scalable, reliable, and efficient data science projects across the company. You will take ownership of complex systems within our ML platform, partner with cross-functional data scientists and engineers, and contribute to the technical direction of our infrastructure. This is a great opportunity for someone who combines deep software engineering or data science skills with experience in machine learning operations (MLOps) and platform thinking.
Responsibilities
- Lead the design and implementation of components across our ML platform, including model training pipelines, serving infrastructure, feature stores, and monitoring frameworks.
- Drive engineering projects from technical planning through delivery and long-term maintenance.
- Collaborate closely with data scientists, ML engineers, and infrastructure teams to align platform solutions with real-world use cases and evolving business needs.
- Author and review technical designs for infrastructure that supports scalable, automated, and reproducible ML workflows.
- Mentor junior engineers and contribute to raising the technical quality of the team through code reviews, design discussions, and knowledge sharing.
- Contribute to the stability, performance, and observability of our ML systems by designing for production-readiness and supporting incident resolution.
- Stay current with industry trends in MLOps and ML infrastructure and apply emerging best practices to improve platform efficiency and usability.
Qualifications
- 4+ years of experience in ML Platform, MLOps, Data Engineering, or Infrastructure roles with a focus on platform development.
- Proficiency in Python and experience with ML/DS libraries (e.g., scikit-learn, pandas, MLflow), along with strong software engineering fundamentals.
- Experience with ML orchestration and CI/CD tooling (e.g., Airflow, MLflow, Argo, GitHub Actions or Jenkins).
- Familiarity with cloud-native infrastructure (AWS, GCP, or Azure), containerization (Docker), orchestration (Kubernetes), and IaC tools (Terraform, Pulumi).
- Experience working with data platforms such as Databricks or Spark, and a strong understanding of distributed data processing is a bonus.
- A track record of owning complex technical projects and collaborating effectively across teams.
- Strong communication skills and the ability to write clear documentation and articulate technical tradeoffs.
- Bachelor’s or advanced degree in Computer Science, Engineering, Data Science, or a related field.
Company
DraftKings
Licensing and Compliance
We’re a regulated gaming company, and you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. We’ll guide you through the process if this is relevant to your role.
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Senior Machine Learning Engineer, Platform employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer, Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at DraftKings. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects related to ML or MLOps, make sure to highlight them. Real-world examples of your work can speak volumes.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled complex projects and collaborated with teams. We want to see your problem-solving chops!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the DraftKings team.
We think you need these skills to ace Senior Machine Learning Engineer, Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Machine Learning Engineer role. Highlight your MLOps experience and any relevant projects you've worked on, as we want to see how you can contribute to our ML platform.
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for AI and how you envision shaping the future with us. Share specific examples of your past work and how it relates to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! Mention your proficiency in Python, experience with ML libraries, and familiarity with cloud-native infrastructure. We love seeing candidates who can hit the ground running.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the DraftKings team!
How to prepare for a job interview at NLP PEOPLE
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and ML libraries like scikit-learn and pandas. Brush up on your experience with MLOps tools and cloud platforms, as you’ll likely be asked to discuss how you’ve used them in past projects.
✨Showcase Your Project Experience
Prepare to talk about specific projects where you’ve led the design and implementation of ML systems. Highlight your role in driving these projects from planning to delivery, and be ready to discuss any challenges you faced and how you overcame them.
✨Collaboration is Key
Since the role involves working closely with data scientists and engineers, think of examples that demonstrate your ability to collaborate effectively. Be prepared to discuss how you’ve aligned technical solutions with business needs and how you’ve mentored junior team members.
✨Stay Current and Curious
Show your passion for the field by discussing recent trends in MLOps and ML infrastructure. Mention any new practices or tools you’ve explored and how they could benefit the company. This will show that you’re not just a candidate but someone who’s eager to contribute to shaping the future.
