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- Tasks: Implement AI/ML solutions and develop OCR components for innovative automation projects.
- Company: Leading tech consultancy with a focus on cutting-edge technology.
- Benefits: Remote work, competitive pay, and the chance to work on exciting projects.
- Why this job: Join a dynamic team and make an impact in the world of AI and automation.
- Qualifications: Strong Python skills and experience with AI/ML technologies required.
- Other info: 6-month contract with opportunities for growth and learning.
The predicted salary is between 42000 - 84000 £ per year.
A leading tech consultancy is looking for a Python Engineer for a 6-month contract (outside IR35) based in the UK. The role focuses on implementing AI/ML solutions for automation in a remote work setting.
Key responsibilities include:
- Developing OCR components
- Leveraging cloud services like AWS
- Driving innovative automation projects
Candidates should have strong expertise in Python (3.9+), experience with AI/ML technologies, and a collaborative mindset. Starting ASAP.
Remote Python AI Engineer - OCR & LLM Automation employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Python AI Engineer - OCR & LLM Automation
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with AI/ML. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to OCR and automation. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on common Python and AI/ML interview questions. Practising with a friend or using mock interview platforms can really boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Remote Python AI Engineer - OCR & LLM Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python expertise and any relevant AI/ML experience. We want to see how your skills align with the role, so don’t be shy about showcasing your projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on OCR components or automation projects, make sure to mention them! We love seeing real examples of your work that demonstrate your problem-solving skills and creativity.
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 from us!
How to prepare for a job interview at Harvey Nash
✨Know Your Python Inside Out
Make sure you're well-versed in Python 3.9+ and can discuss its features confidently. Brush up on libraries relevant to AI/ML, especially those used for OCR, as you might be asked to solve problems or explain your thought process during the interview.
✨Showcase Your AI/ML Experience
Prepare to talk about your previous projects involving AI/ML technologies. Be ready to discuss specific challenges you faced, how you overcame them, and the impact of your solutions. This will demonstrate your hands-on experience and problem-solving skills.
✨Familiarise Yourself with Cloud Services
Since the role involves leveraging cloud services like AWS, make sure you understand the basics of cloud computing and how it integrates with AI/ML. You might be asked about your experience with deploying models or using cloud resources, so having examples ready will help you stand out.
✨Emphasise Collaboration Skills
This position requires a collaborative mindset, so be prepared to discuss how you've worked effectively in teams. Share examples of how you’ve contributed to group projects, resolved conflicts, or supported colleagues, as this will show that you can thrive in a remote work environment.
