Machine Learning Engineer

Vanloq; Sheffield; Hybrid; GBP 50,000 - 60,000; Full time

Job summary

A leading financial services client in Sheffield is seeking a Machine Learning Engineer for an initial 6-month contract. This role involves developing and deploying document AI solutions that enhance automation, requiring expertise in machine learning and a strong Python background. Ideal candidates will be proficient in both traditional ML and Generative AI techniques, working collaboratively to deliver strategic insights.

Qualifications

• Proven experience in Document AI and Intelligent Document Processing using traditional and Generative AI.
• Solid programming skills in Python focusing on ML, NLP, and deep learning.
• Hands-on experience with machine learning frameworks.

Responsibilities

• Build and deploy production-ready ML models focused on document processing.
• Collaborate with business stakeholders to understand requirements.
• Support the full lifecycle of ML applications, from development to maintenance.

Skills

Python

Machine Learning

NLP

Generative AI

OCR

Document AI

Deep Learning

Image Processing

Tools

TensorFlow

PyTorch

Hugging Face

OpenCV

Spacy

Job description

Machine Learning Engineer

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Location: Sheffield (Hybrid – 3 days per week in office)

Contract: 6-Month Initial Contract

IR35 Status: Inside IR35

Overview:

We are working with a leading financial services client in Sheffield seeking a Machine Learning Engineer for an initial 6-month contract. This is an exciting opportunity to play a key role in developing and deploying production-grade Document AI solutions that drive automation and intelligence across critical business processes.

You will work as part of a collaborative team to build advanced models for content extraction and classification from images and text sources. The ideal candidate will have a strong background in machine learning, particularly within intelligent document processing, and be confident working with both traditional ML and generative AI techniques.

Key Responsibilities:

• Build and deploy production-ready ML models focused on document processing, including OCR, NLP, and generative AI.
• Work closely with business stakeholders to understand requirements and deliver tailored solutions.
• Collaborate with product managers and technical teams throughout the development lifecycle.
• Design, test, and iterate on new and existing ML features and components.
• Develop robust Python-based systems using a combination of ML/OCR tools and frameworks.
• Support the full lifecycle of ML applications, from development through deployment, monitoring, and maintenance.

Required Experience:

• Proven experience in Document AI/Intelligent Document Processing, using both traditional ML methods and Generative AI, preferably with open-source models.
• Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing.
• Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex, or similar.
• Strong awareness of secure coding practices, production deployment, and API resilience.

Nice to Have:

• Experience using PostgreSQL for data storage and management.
• Familiarity with Microsoft Azure, including Azure Virtual Machines, Azure CLI, AKS (Azure Kubernetes Service), and Azure DevOps.
• Experience working in agile teams delivering frequent releases to production.

Additional Information:

• Location: Sheffield – 3 days per week onsite.
• Contract: 6 months initially, with a strong possibility of extension.
• Inside IR35.

Apply Now:

If you're a Machine Learning Engineer with a passion for applied AI in real-world environments, especially document processing, we’d love to speak with you. Submit your CV or reach out for more details.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting and Financial Services

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