Machine Leaning Engineer

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About Us: Net2Source Inc. is one of the fastest growing diversification‑certified global workforce solutions companies with an unprecedented YoY growth of over 100% for the last 6 years, working with Fortune 1000/Global 2000 across 34 countries and 5 continents including North America, South America, Europe, Asia, Australia, and the Middle East.

About The Role

Job Title: Machine Learning Engineer

Location: Sheffield, UK

Mode of Work: Hybrid (2 Days Onsite in Week)

Tesla Type: Fixed Term Employment (FTE)

Project Duration: 12್ಥ Months (Possible Extension)

Skills

• Mandatory: Machine Learning – AIOPS
• Good to Have: Python, ServiceNow Orchestrator, Azure Cognitive Services, GenAI – LLMOps, RPA – Microsoft Power Automate, Deep Learning – AIOPS, Reinforcement Learning – AIOPS

Required Experience

• Strong experience in Document AI Intelligent document processing using traditional models and Generative AI, particularly with open‑source models to achieve business outcomes.
• Experience delivering production-ready solutions in Python with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR; all additional positives.
• 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, Azure CLI, Azure Kubernetes Service (AKS), and Azure DevOps.
• Experience releasing to production in teams at a high cadence.

Responsibilities

• Build production‑ready models to drive content extraction and classification from images and text‑based sources.
• Work closely with business teams to understand requirements and iteratively design and develop solutions.
• Collaborate with product managers and technical teams: create tests, iterate new and existing products and features.
• Design and build Python MLOCR‑based components, supporting the product development lifecycle including deployment, testing and production support of the application.

Additional Details

• Seniority levelasz: Mid‑Senior level
• Employment type: Full‑time
• Job function: Information Technology
• Industries: Staffing and Recruiting

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