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- Tasks: Join us to develop innovative AI infrastructure and enhance machine learning models.
- Company: Dynamic tech company focused on cutting-edge AI solutions.
- Benefits: Attractive salary, flexible working hours, and opportunities for skill development.
- Why this job: Be at the forefront of AI technology and make a real difference in the industry.
- Qualifications: Experience in machine learning and programming skills in Python or C++.
- Other info: Collaborative team environment with great potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Job Description: We welcome talented individuals from around the world to join us. Our company, established in 2019, is a leading technology firm focused on investment management. Our team members come from diverse backgrounds, including experience in top-tier universities and industries, with a strong emphasis on technical expertise and good teamwork.
Job Responsibilities:
- Develop machine learning models and algorithms to enhance our services.
- Conduct research on advanced algorithms and optimisation techniques.
Job Requirements:
- A degree in Computer Science or related field, with a focus on machine learning.
- Proficiency in statistical methods and machine learning algorithms (e.g., XGBoost, LSTM, Transformer).
- Experience with Python/C++ and frameworks such as PyTorch/TensorFlow.
- Strong problem-solving skills and ability to work independently and collaboratively.
Preferred Qualifications:
- Familiarity with CUDA and performance optimisation techniques.
- Experience with large-scale training frameworks like DeepSpeed and Megatron.
- Knowledge of various model training techniques and their applications.
Machine Learning Engineer (AI infra) in City of London employer: 上海衍复投资管理有限公司
Contact Detail:
上海衍复投资管理有限公司 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (AI infra) in City of London
✨Tip Number 1
Networking is key! Get out there and connect with people in the industry. Attend meetups, webinars, or even just chat with friends who work in tech. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practicing common questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. The more prepared you are, the more confident you'll feel during the interview!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it shows you're genuinely interested in being part of our team!
We think you need these skills to ace Machine Learning Engineer (AI infra) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight relevant skills and experiences that match the job description, especially those related to AI infrastructure and programming languages like Python or C++.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background makes you a great fit for our team at StudySmarter. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any machine learning projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, showcasing your hands-on experience can really set you apart.
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 and shows us you’re serious about joining the StudySmarter team!
How to prepare for a job interview at 上海衍复投资管理有限公司
✨Know Your Stuff
Make sure you brush up on the latest machine learning techniques and frameworks relevant to the role. Familiarise yourself with concepts like XGBoost, LSTM, and Transformers, as well as programming languages like Python and C++. This will show that you're not just a theoretical expert but also practical in your approach.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on, especially those involving AI infrastructure. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This gives interviewers insight into your problem-solving skills and hands-on experience.
✨Ask Smart Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI initiatives, team dynamics, or future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
✨Be Ready for Technical Challenges
Expect to face some technical questions or coding challenges during the interview. Practice common algorithms and data structures, and be prepared to solve problems on the spot. This will demonstrate your analytical skills and ability to think under pressure.
