Machine Leaning Engineer

Get AI-powered advice on्टthis job and more exclusive features.
Direct message the job poster from Net2Source (N2S)

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

Referrals increase your chances of interviewing at Net2Source (N2S) by 2x