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- Tasks: Design advanced AI models for personalisation and decision-making in real-time.
- Company: Fast-growing software development organisation based in Greater London.
- Benefits: Competitive salary, flexible work options, and exposure to emerging technologies.
- Why this job: Join a high-performance team and shape the future with cutting-edge AI solutions.
- Qualifications: Strong background in machine learning algorithms and proficiency in Python.
- Other info: Exciting opportunities to work with blockchain and crypto technologies.
The predicted salary is between 36000 - 60000 £ per year.
A fast-growing software development organization in Greater London is seeking a Machine Learning Scientist to apply AI techniques. You will design advanced models for personalization and decision-making, collaborate with engineers, and optimize infrastructure.
The ideal candidate will have a strong background in machine learning algorithms and proficiency in Python. This role offers an opportunity to work in a high-performance environment with emerging technologies like blockchain and crypto.
ML Scientist — Real-Time AI & Production Deployment in London employer: TechChain Talent
Contact Detail:
TechChain Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Scientist — Real-Time AI & Production Deployment in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow ML enthusiasts. You never know who might have the inside scoop on job openings.
✨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, let your work speak for itself and demonstrate your expertise in Python and AI techniques.
✨Tip Number 3
Prepare for interviews by brushing up on your algorithms and real-time AI concepts. Practice common ML interview questions and be ready to discuss how you've applied your knowledge in past projects.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can give you a better chance to stand out in the crowd.
We think you need these skills to ace ML Scientist — Real-Time AI & Production Deployment in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning algorithms and Python in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your background fits into the fast-paced environment we offer and your interest in emerging technologies like blockchain and crypto.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at TechChain Talent
✨Know Your Algorithms
Brush up on your machine learning algorithms before the interview. Be ready to discuss how you've applied them in real-world scenarios, especially in personalisation and decision-making. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Python Skills
Since proficiency in Python is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your previous projects. Have examples ready that highlight your ability to write clean, efficient code.
✨Collaborate Like a Pro
This position involves working closely with engineers, so be prepared to talk about your teamwork experiences. Share specific examples of how you've collaborated on projects, resolved conflicts, or contributed to a team’s success. This will illustrate your ability to thrive in a high-performance environment.
✨Stay Updated on Emerging Tech
With the mention of blockchain and crypto, it's crucial to show your interest in emerging technologies. Do some research on how these technologies intersect with machine learning. Being able to discuss current trends will set you apart as a forward-thinking candidate.
