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- Tasks: Build cutting-edge AI models for document extraction and classification.
- Company: Leading recruitment agency with a focus on innovation.
- Benefits: Competitive pay, hands-on experience, and collaboration with top professionals.
- Why this job: Join a dynamic team and make an impact in the AI field.
- Qualifications: Strong background in document AI, Python, and machine learning.
- Other info: Onsite work three days a week in Birmingham.
The predicted salary is between 36000 - 60000 £ per year.
A leading recruitment agency is seeking an AI Engineer / Data Scientist for a 6-month contract in Birmingham. This role involves building production-ready models for content extraction and classification, working closely with product managers and business teams to deliver innovative solutions.
Candidates should have strong experience in document AI and be proficient in Python and machine learning technologies. The position requires onsite presence three days a week.
Production AI/ML Engineer — Document AI & OCR (Birmingham) employer: Square One Resources
Contact Detail:
Square One Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production AI/ML Engineer — Document AI & OCR (Birmingham)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in AI and machine learning. Attend meetups or webinars to connect with potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to document AI and OCR. This will give you an edge and demonstrate your hands-on experience to hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and case studies in AI/ML. We recommend practising coding challenges in Python to keep your skills sharp and ready for any technical assessments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Production AI/ML Engineer — Document AI & OCR (Birmingham)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with document AI and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Let us know what excites you about this role in Birmingham!
Showcase Your Technical Skills: Since this role requires proficiency in Python and machine learning, make sure to mention specific tools and frameworks you’ve used. We love seeing practical examples of your work, so feel free to include links to your GitHub or any relevant projects.
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 don’t miss out on any important updates. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Square One Resources
✨Know Your Stuff
Make sure you brush up on your knowledge of document AI and OCR technologies. Be ready to discuss specific projects you've worked on, especially those involving content extraction and classification. This will show that you have the hands-on experience they’re looking for.
✨Showcase Your Python Skills
Since proficiency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your approach to building production-ready models. Practising common algorithms and data structures in Python can give you an edge.
✨Collaborate Like a Pro
This role involves working closely with product managers and business teams, so be ready to discuss how you’ve successfully collaborated in the past. Share examples of how you’ve communicated technical concepts to non-technical stakeholders to highlight your teamwork skills.
✨Be Ready for Onsite Questions
Since the position requires onsite presence three days a week, be prepared to discuss your availability and willingness to work in the office. It’s also a good idea to ask about the team dynamics and how they integrate remote and onsite work.
