At a Glance
- Tasks: Design and develop cutting-edge machine learning models for AI-powered data extraction.
- Company: Join Evolution AI, a leader in innovative AI solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Ideal for those with a strong research mindset and advanced degrees.
- Why this job: Make a real impact in the AI field while collaborating with talented teams.
- Qualifications: Proficiency in Python and experience with TensorFlow or PyTorch required.
The predicted salary is between 60000 - 80000 £ per year.
Evolution AI is seeking a machine learning research engineer to enhance their AI-powered data extraction platform. The role requires designing, developing, and testing machine learning models while collaborating closely with commercial and product teams.
The ideal candidate should be proficient in Python and have experience with deep learning frameworks like TensorFlow or PyTorch. A strong research mindset and an advanced degree are also essential. Eligibility to work in the UK is required.
Applied ML Engineer - NLP, Vision & Multimodal in London employer: Evolution AI
At Evolution AI, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to push the boundaries of technology. Located in the heart of the UK, we offer competitive benefits, continuous professional development opportunities, and a collaborative environment where your contributions directly impact our cutting-edge AI solutions. Join us to be part of a forward-thinking team that values creativity and growth in the rapidly evolving field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Applied ML Engineer - NLP, Vision & Multimodal in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving NLP and vision. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and deep learning frameworks like TensorFlow or PyTorch. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Applied ML Engineer - NLP, Vision & Multimodal in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your proficiency in Python and any experience you have with deep learning frameworks like TensorFlow or PyTorch. We want to see how your skills align with the role, so don’t hold back!
Research Mindset Matters:Since a strong research mindset is essential for this role, share any relevant projects or experiences that showcase your ability to think critically and innovate. We love seeing how you approach problem-solving!
Tailor Your Application:Take a moment to tailor your application to the job description. Mention how your background fits with enhancing AI-powered platforms and collaborating with teams. It shows us you’re genuinely interested in the position!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Evolution AI
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with deep learning frameworks like TensorFlow and PyTorch. Be ready to discuss specific projects where you've applied these technologies, as this will show your hands-on experience.
✨Show Off Your Research Mindset
Prepare to talk about your research experiences and how they relate to machine learning. Think of examples where you've tackled complex problems or contributed to innovative solutions, as this will highlight your analytical skills.
✨Collaboration is Key
Since the role involves working closely with commercial and product teams, be ready to discuss how you've successfully collaborated in the past. Share examples that demonstrate your ability to communicate technical concepts to non-technical stakeholders.
✨Understand the Company’s Vision
Do some homework on Evolution AI and their data extraction platform. Understanding their goals and challenges will help you tailor your answers and show that you're genuinely interested in contributing to their mission.
