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: Exciting projects in a dynamic environment with great career advancement potential.
- Why this job: Make a real impact in the AI field while collaborating with talented teams.
- Qualifications: Proficient in Python with experience in TensorFlow or PyTorch; advanced degree preferred.
The predicted salary is between 50000 - 70000 £ 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 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 dedicated to making meaningful advancements in machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Applied ML Engineer - NLP, Vision & Multimodal
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community, especially those who work at Evolution AI. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, TensorFlow, or PyTorch. This is your chance to demonstrate your expertise in NLP and multimodal systems—make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on your deep learning concepts and be ready to discuss your research mindset. We recommend practising common ML interview questions and coding challenges to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Applied ML Engineer - NLP, Vision & Multimodal
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and deep learning frameworks like TensorFlow or PyTorch. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 research mindset can contribute to our AI-powered data extraction platform. Let us know what excites you about this role!
Showcase Your Projects:If you've worked on any cool machine learning projects, make sure to mention them! We love seeing practical applications of your skills, especially if they relate to NLP, vision, or multimodal systems. Include links if possible!
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Evolution AI
✨Know Your ML Frameworks
Make sure you brush up on your knowledge of TensorFlow and PyTorch. Be ready to discuss your experience with these frameworks, including specific projects where you've implemented them. This will show your technical prowess and how you can contribute to their AI-powered data extraction platform.
✨Showcase Your Research Mindset
Prepare to talk about your research experiences and how they relate to machine learning. Discuss any papers you've published or projects you've worked on that required innovative thinking. This will demonstrate your ability to think critically and creatively, which is essential for the role.
✨Collaboration is Key
Since the role involves working closely with commercial and product teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve translated technical concepts for non-technical stakeholders.
✨Prepare for Technical Questions
Expect to face some technical questions during the interview. Brush up on your Python skills and be prepared to solve coding problems on the spot. Practising common algorithms and data structures can help you feel more confident and ready to tackle any challenges they throw your way.
