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For Companies At a Glance
- Tasks: Build and deploy cutting-edge machine learning models for content extraction and classification.
- Company: Join a leading financial institution, HSBC, in a hybrid work environment.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact with AI while collaborating with talented teams on innovative projects.
- Qualifications: Strong experience in Document AI, Python, and machine learning frameworks required.
- Other info: Dynamic role with a focus on cybersecurity and resilience in application development.
The predicted salary is between 36000 - 60000 £ per year.
Role: Machine Learning Developer with AI & Python
Mode: Hybrid - 3 Days from Sheffield
Type: Subcon/FTC (6 Months)
End Client: HSBC (Do not disclose)
Responsibilities:
- 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.
- Collaborating with product managers and technical teams.
- Creating, testing, and iterating new and existing products and features.
- Designing and building Python OCR based components.
- Supporting the full life-cycle including 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.
- Experience with frameworks such as 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 Learning Engineer in Sheffield employer: Net2Source (N2S)
Contact Detail:
Net2Source (N2S) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Sheffield
✨Tip Number 1
Network like a pro! Reach out to your connections in the machine learning field, especially those who work at HSBC or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI. This is your chance to demonstrate your expertise in document AI and OCR, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with frameworks like TensorFlow and PyTorch, and how you've tackled challenges in deploying machine learning models.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can give you an edge. Plus, we love seeing candidates who take the initiative!
We think you need these skills to ace Machine Learning Engineer in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Document AI, Python, and any relevant frameworks like TensorFlow or PyTorch. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background makes you a great fit for our team. Don't forget to mention your experience with generative AI and OCR components.
Showcase Your Projects: If you've worked on any projects related to machine learning or AI, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve content extraction or classification!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Net2Source (N2S)
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and machine learning frameworks like TensorFlow and PyTorch. Brush up on your knowledge of OCR and document processing, as these are key to the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled challenges in machine learning projects. Be ready to explain how you approached problems, the solutions you implemented, and the outcomes. This will demonstrate your ability to work collaboratively with business teams.
✨Understand the Business Context
Research HSBC and their focus on AI and document processing. Understanding their business needs will help you tailor your responses and show that you can align your technical skills with their goals.
✨Prepare for Practical Assessments
You might be asked to solve coding problems or design a model during the interview. Practice coding challenges related to machine learning and be prepared to discuss your thought process. This will showcase your technical prowess and problem-solving abilities.
