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Machine Learning Engineer

Vanloq
Sheffield
3 weeks ago
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Job Title:Machine Learning Engineer

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

Contract:6-Month Initial Contract

IR35 Status:Inside IR35

Sector:Financial Services


Overview:

We are working with a leading financial services client in Sheffield seeking aMachine Learning Engineerfor 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 andGenerative 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 asTensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex, or similar.
  • Strong awareness of secure coding practices, production deployment, and API resilience.


Nice to Have:

  • Experience usingPostgreSQLfor data storage and management.
  • Familiarity withMicrosoft 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.

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