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- Tasks: Design and implement cutting-edge machine learning models to drive innovation at DraftKings.
- Company: Join a leading tech company shaping the future of AI in gaming.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Be part of a dynamic team transforming customer experiences with AI technology.
- Qualifications: 5+ years in engineering with expertise in machine learning and Python.
- Other info: Collaborative environment with a focus on ethical AI and continuous learning.
The predicted salary is between 43200 - 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.
Our team comprises algorithm experts and data science technologists, coming together to develop innovative data products that solve analytically challenging problems at DraftKings. As part of this role, you will be a creative thinker, utilizing data, machine learning, and software development skills to craft high-impact solutions that grow the business.
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.
- 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 Inc.
Contact Detail:
DraftKings Inc. 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 current employees at DraftKings. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨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 make you stand out.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Practice common ML scenarios and be ready to discuss how you’ve tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the DraftKings team.
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. We want to see how you can contribute to our innovative team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you a perfect fit for DraftKings. Be sure to mention any projects where you've implemented machine learning solutions that had a real impact.
Showcase Your Projects: If you've worked on interesting ML projects, don’t hold back! Include links to your GitHub or any other portfolio showcasing your work. We love seeing practical applications of your skills and how you tackle real-world challenges.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team and shaping the future of AI at DraftKings!
How to prepare for a job interview at DraftKings Inc.
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and algorithms. Be ready to discuss how you've applied these in real-world scenarios, especially focusing on the full lifecycle of ML projects. They’ll want to see your problem-solving skills in action!
✨Showcase Your Coding Skills
Since Python is key for this role, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising coding challenges can really help you shine here.
✨Talk Teamwork and Leadership
This position involves collaboration across teams, so highlight your experience working in multi-disciplinary environments. Share examples of how you've led projects or mentored others, showcasing your communication skills and ability to influence stakeholders.
✨Stay Current with Trends
They’re looking for someone who’s committed to ongoing learning. Be ready to discuss recent advancements in AI and ML that excite you. This shows your passion for the field and your proactive approach to staying updated with industry trends.
