At a Glance
- Tasks: Design and refine machine learning models, ensuring efficiency and performance.
- Company: Join DraftKings, a leading tech company shaping the future of AI in gaming.
- Benefits: Competitive salary, career growth, and a chance to work with cutting-edge technology.
- Why this job: Be at the forefront of AI innovation and make a real impact on customer experiences.
- Qualifications: 5+ years in engineering, with expertise in ML/AI systems and Python.
- Other info: Collaborative environment with opportunities for mentoring and continuous learning.
The predicted salary is between 48000 - 72000 £ per year.
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.
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.
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.
Senior Machine Learning Engineer in London employer: DraftKings
Contact Detail:
DraftKings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past experiences. Practice common ML interview questions and think about how you can demonstrate your problem-solving skills.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us at DraftKings. Tailor your application to highlight how your experience aligns with our mission to shape the future of AI.
We think you need these skills to ace Senior Machine Learning Engineer in London
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 expertise in machine learning, Python, and any relevant technologies like Databricks or Kubernetes.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how you can contribute to shaping the future at DraftKings. Share specific examples of your past work that demonstrate your problem-solving skills and leadership abilities.
Showcase Your Projects: If you've worked on interesting ML projects, don’t hesitate to include them! We love seeing real-world applications of your skills, so share links to your GitHub or any relevant portfolios that showcase your work.
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 to join our team!
How to prepare for a job interview at DraftKings
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially the concepts related to model training, evaluation, and deployment. Be ready to discuss how you've applied these principles in real-world scenarios, as this will show your depth of understanding and practical experience.
✨Showcase Your Technical Skills
Prepare to demonstrate your expertise in Python and any other relevant tools or languages. You might be asked to solve a coding problem or explain your approach to building scalable ML applications, so practice articulating your thought process clearly.
✨Discuss Collaboration and Leadership
Since the role involves working within multi-disciplinary teams, be prepared to share examples of how you've successfully collaborated with others. Highlight your leadership experiences, especially in mentoring team members or driving best practices in machine learning.
✨Stay Current with Industry Trends
Research the latest trends in AI and machine learning, particularly those that relate to ethical considerations and innovations. Being able to discuss recent advancements or challenges in the field will demonstrate your commitment to ongoing learning and your passion for shaping the future of AI.