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- Tasks: Join a dynamic team to develop and deploy cutting-edge AI models.
- Company: Be part of a Microsoft-backed AI startup with industry-leading innovators.
- Benefits: Enjoy remote work flexibility and potential equity in a growing company.
- Why this job: Work on revolutionary AI technologies and collaborate with top experts in the field.
- Qualifications: Master’s degree in relevant fields and 2-5 years of experience in AI startups required.
- Other info: Opportunity for occasional travel to Silicon Valley for collaboration.
The predicted salary is between 72000 - 168000 £ per year.
Senior Machine Learning EngineerUp to £100,000London (Fully Remote) Company:Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As a Senior Machine Learning Engineer, you’ll be at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities:Develop and deploy machine learning models to enhance the analytics platform.Collaborate with cross-functional teams to define and implement AI-driven solutions.Work on innovative, data-driven projects within the crypto space.Stay up to date with the latest trends in machine learning and crypto technologies. Requirements:Proven experience as a Machine Learning Engineer, with a strong understanding of algorithms and data modelling.Experience in Python, TensorFlow, or similar frameworks.A passion for cryptocurrency and blockchain technologies.Strong problem-solving skills and the ability to work in a fast-paced, remote environment. How to Apply:Please register your interest by sending your CV to Joseph Gregory via the Apply link on this page.
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network with professionals in the AI and machine learning community. Attend relevant meetups, webinars, or conferences to connect with industry leaders and potential colleagues. This can help you gain insights into the company culture and possibly get a referral.
✨Tip Number 2
Showcase your expertise in machine learning by contributing to open-source projects or publishing articles on platforms like Medium or LinkedIn. This demonstrates your passion and knowledge in the field, making you a more attractive candidate.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and machine learning problems on platforms like LeetCode or HackerRank. Focus on algorithms and data structures, as well as specific ML concepts that are relevant to the role.
✨Tip Number 4
Familiarise yourself with the latest advancements in NLP and ML technologies. Being able to discuss recent trends or breakthroughs during interviews can set you apart and show your commitment to staying current in the field.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning and AI. Emphasise your educational background, particularly if you have a degree in Computer Science or Mathematics from a top university, and detail your proficiency with tools like TensorFlow and PyTorch.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and AI. Mention specific projects you've worked on, especially those involving NLP or MLOps practices, and explain how your skills align with the company's goals.
Showcase Your Problem-Solving Skills: In your application, provide examples of how you've tackled complex problems in previous roles. Highlight your analytical skills and your ability to translate theoretical research into practical applications, as this is crucial for the role.
Stay Updated on Industry Trends: Demonstrate your commitment to the field by mentioning recent advancements in machine learning and AI that excite you. This shows your enthusiasm for the industry and your willingness to bring innovative ideas to the team.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and machine learning frameworks like TensorFlow and PyTorch. Bring examples of past projects where you applied MLOps best practices, as this will demonstrate your hands-on experience.
✨Understand the Company’s Vision
Research the AI business and its founders. Understanding their mission and the technologies they are developing will help you align your answers with their goals and show your genuine interest in the role.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Brush up on your analytical skills and be ready to explain how you would approach translating complex theoretical research into practical applications.
✨Emphasise Collaboration Experience
Since the role involves working closely with US teams, highlight any previous experiences where you collaborated with remote teams. Discuss how you managed communication and project coordination across different time zones.
