At a Glance
- Tasks: Design and refine efficient pipelines for cutting-edge machine learning models.
- Company: Leading tech company in London redefining the gaming industry.
- Benefits: Competitive salary, ongoing learning opportunities, and a dynamic work environment.
- Why this job: Join a team that embraces innovation and makes a real impact in gaming technology.
- Qualifications: Significant experience in machine learning, Python, and leadership skills.
- Other info: Collaborate with diverse teams and mentor others in a fast-paced setting.
The predicted salary is between 43200 - 72000 £ per year.
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.
Senior ML Engineer — Build Production-Ready AI Systems in London employer: DraftKings
Contact Detail:
DraftKings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Build Production-Ready AI Systems in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those in machine learning. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself and demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. Practice explaining your thought process clearly, as communication is key when collaborating with multi-disciplinary teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior ML Engineer — Build Production-Ready AI Systems in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning and Python in your application. We want to see how you've designed and refined pipelines in the past, so don’t hold back on those details!
Leadership Matters: Since this role involves leadership, share examples of how you've led projects or mentored others. We love seeing candidates who can inspire and guide their teams, so let us know how you’ve done that!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your skills align with our mission to redefine the gaming industry. We appreciate when candidates take the time to connect their experience with what we do.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at DraftKings
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and Python skills. Be ready to discuss specific algorithms, frameworks, and your past projects. We recommend preparing examples that showcase your problem-solving abilities and how you've built production-ready AI systems.
✨Show Your Leadership Skills
Since this role involves leadership, think about times when you've led a project or mentored others. We suggest preparing anecdotes that highlight your ability to guide teams and foster collaboration. This will show them you're not just technically skilled but also a great team player.
✨Embrace Continuous Learning
The tech world is always evolving, so be prepared to talk about how you stay updated with the latest trends in machine learning. We encourage you to mention any courses, workshops, or conferences you've attended recently. This shows your commitment to ongoing learning, which is key for this role.
✨Understand Their Vision
Research the company and its innovative technologies in the gaming industry. We suggest thinking about how your skills can contribute to their goals. Being able to articulate why you want to join them and how you can add value will definitely set you apart from other candidates.