Machine Learning Engineer

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.