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- Tasks: Build cutting-edge models for content extraction and classification in AI.
- Company: Join a leading recruitment agency working with a top financial services client.
- Benefits: Gain valuable experience in AI while working onsite in Birmingham three days a week.
- Why this job: Make an impact by delivering innovative solutions in the exciting field of document AI.
- Qualifications: Strong background in document AI and proficiency in Python and machine learning.
- Other info: Collaborate with product managers and business teams in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading recruitment agency is looking for an AI Engineer / Data Scientist to join a financial services client's team for a 6-month contract. The role involves building production-ready models for content extraction and classification, collaborating closely with product managers and business teams to deliver innovative solutions. The ideal candidate has strong experience in document AI and is proficient in Python, machine learning, and related technologies. This opportunity requires onsite presence in Birmingham three days a week.
Responsibilities:
- Build production-ready models for content extraction and classification.
- Collaborate closely with product managers and business teams to deliver innovative solutions.
Qualifications:
- Strong experience in document AI.
- Proficient in Python, machine learning, and related technologies.
AI Engineer / Data Scientist - Production ML & OCR in Birmingham employer: Square One Resources
Contact Detail:
Square One Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer / Data Scientist - Production ML & OCR in Birmingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in financial services or AI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in document AI and machine learning. This is your chance to demonstrate what you can do with Python and impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to production ML and OCR. We recommend practising your answers with a friend or even in front of the mirror to build 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’re always looking for talented individuals like you to join exciting projects.
We think you need these skills to ace AI Engineer / Data Scientist - Production ML & OCR in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in document AI and Python. We want to see how your skills match the job description, 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 excited about the role and how your background makes you a perfect fit for building production-ready models.
Showcase Your Collaboration Skills: Since this role involves working closely with product managers and business teams, mention any past experiences where you’ve successfully collaborated on projects. We love teamwork!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Square One Resources
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any machine learning frameworks you've used. Be ready to discuss specific projects where you've built production-ready models, especially in document AI. This will show that you’re not just familiar with the tech, but that you can apply it effectively.
✨Showcase Your Collaboration Skills
Since this role involves working closely with product managers and business teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve turned complex technical concepts into actionable insights for non-technical stakeholders.
✨Prepare for Problem-Solving Questions
Expect to face some scenario-based questions that test your problem-solving abilities. Think about challenges you've encountered in previous roles, particularly related to content extraction and classification, and how you overcame them. This will demonstrate your critical thinking and adaptability.
✨Understand the Business Context
Research the financial services sector and understand how AI and data science can drive innovation in this field. Being able to discuss industry trends and how your skills can contribute to the company’s goals will set you apart from other candidates.
