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- Tasks: Build and enhance pipelines to transform unstructured documents into structured data.
- Company: Tech-led company in the vibrant London Area.
- Benefits: Competitive salary, growth opportunities, and a collaborative engineering culture.
- Why this job: Join a strong team and advance your skills in ML and software engineering.
- Qualifications: 2-3 years of experience with unstructured documents and modern ML techniques.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A technology-led company in the London Area is seeking a Mid-Senior Machine Learning Engineer who will build and enhance pipelines for transforming unstructured documents into structured data.
Ideal candidates will have 2-3 years of experience in processing unstructured documents, especially PDFs, and familiarity with modern ML techniques.
Collaboration within a strong engineering group is essential, making this a fantastic opportunity for growth in both ML and software engineering roles.
ML Engineer - Unstructured Document AI & Data Extraction in London employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer - Unstructured Document AI & Data Extraction in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with ML engineers 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 projects related to unstructured document processing. Whether it's a GitHub repo or a personal website, let your work speak for itself.
✨Tip Number 3
Prepare for those interviews! Brush up on your ML techniques and be ready to discuss how you've tackled similar challenges in the past. Practice common interview questions and think about how you can demonstrate your problem-solving skills.
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace ML Engineer - Unstructured Document AI & Data Extraction in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with unstructured documents and ML techniques. 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 excited about the role and how your background makes you a perfect fit for our team. Let us know what drives you in the world of ML!
Showcase Your Projects: If you've worked on any cool projects involving data extraction or document processing, make sure to mention them! We love seeing practical applications of your skills, so include links or descriptions that highlight your contributions.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Harrington Starr
✨Know Your ML Techniques
Make sure you brush up on modern machine learning techniques, especially those relevant to unstructured document processing. Be ready to discuss your experience with algorithms and frameworks you've used in the past, particularly for transforming PDFs into structured data.
✨Showcase Your Collaboration Skills
Since collaboration is key in this role, think of examples where you've worked effectively within a team. Prepare to share how you contributed to group projects, resolved conflicts, or helped others improve their work. This will demonstrate your ability to thrive in a strong engineering group.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of data extraction and pipeline building. Review common challenges faced in processing unstructured documents and be ready to explain how you would approach these problems. Practising coding problems related to data manipulation can also be beneficial.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions prepared about the company's projects or future directions in ML. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
