Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and deploy cutting-edge machine learning models for content extraction and classification.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact with AI while working on exciting projects in a dynamic team.
- Qualifications: Strong experience in Document AI and proficiency in Python and machine learning frameworks.
- Other info: Collaborative environment with a focus on career advancement and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
Building production ready models to drive content extraction and classification from images and text based sources. Working closely with business teams to understand requirements and iteratively design and develop solutions. Collaborative with product managers and technical teams. Create, test and iterate new and existing products and features. Designing and building Python, ML, OCR based components. Not only supporting the development of the product but also the full lifecycle including the deployment, testing and production support of the application.
Required experience (MUST HAVE):
- Strong experience in Document AI and Intelligent document processing using traditional models and Generative AI, particularly in using open source models for achieving business outcomes.
- Experience delivering to production in Python with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR; all additional positives.
- Experience with some of the following frameworks: TensorFlow, Pytorch, Hugging Face, spaCy, OpenCV, Regex or equivalents.
- Experience delivering safe code to production focusing on cybersecurity and resilience of the application and APIs.
Nice to Have:
- Experience using PostgreSQL for data storage and management.
- Proficiency with Azure's core services like Azure Virtual Machines and experience with one or all of Azure CLI, Azure Kubernetes Service (AKS) and Azure DevOps.
- Experience delivering in teams releasing at a high cadence to production.
Machine Leaning Developer in Sheffield employer: E-Solutions
Contact Detail:
E-Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Leaning Developer in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues 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, especially those involving Python, ML, and OCR. This gives you a chance to demonstrate your expertise in document AI and generative AI, making you stand out to employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with frameworks like TensorFlow and Pytorch, and how you've delivered safe code to production.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Machine Leaning Developer in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Document AI and the specific frameworks mentioned in the job description. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about machine learning and how you can contribute to our team. Share examples of your past work, especially any that involved collaborative efforts with product managers or technical teams.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've tackled challenges in deploying ML models or improving existing products. We love seeing how you approach problems and iterate on solutions, so give us the details!
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 shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at E-Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, TensorFlow, and Pytorch. Brush up on your knowledge of Document AI and Generative AI, as these are crucial for the role. Be ready to discuss specific projects where you've applied these skills.
✨Showcase Your Collaboration Skills
Since the role involves working closely with business teams and product managers, prepare examples that highlight your collaborative experiences. Think about times when you successfully gathered requirements or iterated on solutions based on feedback from non-technical stakeholders.
✨Demonstrate Your Problem-Solving Approach
Be prepared to walk through your thought process when tackling complex problems. Discuss how you’ve designed and built components in previous roles, particularly focusing on the full lifecycle from development to deployment. This will show your understanding of the end-to-end process.
✨Prepare for Technical Questions
Expect technical questions related to machine learning, deep learning, and OCR. Practice explaining concepts clearly and concisely, and be ready to solve coding challenges on the spot. Familiarise yourself with safe coding practices and how you ensure cybersecurity in your applications.
