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- Tasks: Develop and deploy cutting-edge ML models for document processing.
- Company: Join a leading financial services firm in Sheffield, driving innovation.
- Benefits: Enjoy hybrid work, flexible hours, and potential contract extension.
- Why this job: Be part of a collaborative team making a real impact with AI solutions.
- Qualifications: Strong background in machine learning, Python, and document AI required.
- Other info: Initial 6-month contract with opportunities for growth and learning.
The predicted salary is between 36000 - 60000 £ per year.
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 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.
Contact Detail:
Vanloq Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Sheffield
✨Tip Number 1
Familiarise yourself with the specific tools and frameworks mentioned in the job description, such as TensorFlow, PyTorch, and Hugging Face. Having hands-on experience with these will not only boost your confidence but also demonstrate your readiness to hit the ground running.
✨Tip Number 2
Engage with the financial services sector by following relevant news and trends. Understanding the industry's challenges and how machine learning can address them will help you speak knowledgeably during interviews and show your genuine interest in the role.
✨Tip Number 3
Network with professionals already working in document AI or related fields. Platforms like LinkedIn can be invaluable for connecting with current employees at StudySmarter or similar companies, giving you insights into the company culture and expectations.
✨Tip Number 4
Prepare to discuss your previous projects that align with the responsibilities of this role. Be ready to explain your approach to building and deploying ML models, particularly in document processing, as this will showcase your practical experience and problem-solving skills.
We think you need these skills to ace Machine Learning Engineer in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly in document processing and the technologies mentioned in the job description. Use specific examples to demonstrate your skills in Python, OCR, NLP, and generative AI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for applied AI and document processing. Mention how your background aligns with the responsibilities of the role and express your enthusiasm for working in a collaborative team environment.
Highlight Relevant Projects: If you have worked on projects involving ML models, especially those related to document AI, be sure to include them in your application. Describe your role, the technologies used, and the impact of the project.
Showcase Continuous Learning: Mention any recent courses, certifications, or workshops you've completed related to machine learning, AI, or the specific tools listed in the job description. This demonstrates your commitment to staying updated in the field.
How to prepare for a job interview at Vanloq Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning, particularly in document processing. Highlight specific projects where you've used Python, TensorFlow, or PyTorch, and be ready to explain the challenges you faced and how you overcame them.
✨Understand the Business Context
Research the financial services sector and understand how machine learning can drive automation and intelligence in this field. Be ready to discuss how your skills can help the company achieve its goals, especially in developing Document AI solutions.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with stakeholders and product managers, think of examples where you've successfully collaborated in a team setting. Be ready to discuss how you gather requirements and deliver tailored solutions that meet business needs.
✨Demonstrate Your Problem-Solving Approach
During the interview, you may be presented with hypothetical scenarios or technical problems. Practice articulating your thought process clearly, showing how you would approach building and deploying ML models, and how you ensure their robustness and security.
