AI / Machine Learning Engineer - Document AI /Intelligent Document
AI / Machine Learning Engineer - Document AI /Intelligent Document

AI / Machine Learning Engineer - Document AI /Intelligent Document

Sheffield Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as an AI/Machine Learning Engineer, focusing on innovative document technologies.
  • Company: Be part of a major bank driving transformation and enhancing customer experiences.
  • Benefits: Enjoy flexible working options and a chance to work on cutting-edge technology.
  • Why this job: Make a real impact in banking by improving infrastructure and customer interactions.
  • Qualifications: Ideal for tech-savvy individuals with a passion for AI and machine learning.
  • Other info: This is a contract role with opportunities for growth in a dynamic environment.

The predicted salary is between 36000 - 60000 £ per year.

We are currently looking to onboard multiple AI / Machine Learning Engineers on a contract basis for a major bank. The AI / Machine Learning Engineers will be supporting the Onboarding/KYC value stream in Technology as part of a major transformation initiative to drive innovative technologies, improve customer experience and infrastructure resilience within the bank.

AI / Machine Learning Engineer - Document AI /Intelligent Document employer: Essential Consulting

As a leading major bank, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our AI / Machine Learning Engineers will benefit from extensive professional development opportunities, competitive remuneration, and the chance to contribute to transformative projects that enhance customer experience. Located in a vibrant city, our employees enjoy a stimulating environment that supports both personal and career growth.
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Contact Detail:

Essential Consulting Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI / Machine Learning Engineer - Document AI /Intelligent Document

✨Tip Number 1

Familiarise yourself with the specific technologies and tools mentioned in the job description. For this role, having a solid understanding of Document AI and KYC processes will set you apart from other candidates.

✨Tip Number 2

Network with professionals in the banking and AI sectors. Attend relevant meetups or webinars to connect with people who might provide insights into the company culture and expectations for the role.

✨Tip Number 3

Prepare to discuss real-world applications of your machine learning projects. Be ready to explain how your previous work can contribute to improving customer experience and infrastructure resilience, as these are key focuses for the bank.

✨Tip Number 4

Stay updated on the latest trends in AI and machine learning, especially those related to document processing. Being knowledgeable about current advancements will demonstrate your passion and commitment to the field during interviews.

We think you need these skills to ace AI / Machine Learning Engineer - Document AI /Intelligent Document

Proficiency in Python and/or R
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Knowledge of natural language processing (NLP) techniques
Familiarity with document processing technologies
Understanding of KYC (Know Your Customer) regulations
Data preprocessing and feature engineering skills
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)
Strong analytical and problem-solving abilities
Ability to work with large datasets and data pipelines
Collaboration skills for working in cross-functional teams
Experience with version control systems (e.g., Git)
Knowledge of Agile methodologies
Excellent communication skills
Adaptability to rapidly changing technologies

Some tips for your application 🫡

Understand the Role: Familiarise yourself with the specific responsibilities of an AI / Machine Learning Engineer in the context of Document AI. Highlight your understanding of KYC processes and how innovative technologies can enhance customer experience.

Tailor Your CV: Make sure your CV reflects relevant experience in AI and machine learning, particularly any projects related to document processing or KYC. Use keywords from the job description to ensure your application stands out.

Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also your passion for improving customer experience through technology. Mention any previous work with banks or financial institutions if applicable.

Showcase Relevant Projects: If you have worked on projects involving AI, machine learning, or document processing, be sure to include these in your application. Provide links to your GitHub or portfolio to demonstrate your practical skills.

How to prepare for a job interview at Essential Consulting

✨Understand the Role

Make sure you have a solid grasp of what an AI/Machine Learning Engineer does, especially in the context of Document AI. Familiarise yourself with the specific technologies and methodologies that are relevant to the role.

✨Showcase Relevant Experience

Prepare to discuss your previous projects or experiences that relate to KYC (Know Your Customer) processes or document processing. Highlight any innovative solutions you've implemented that improved customer experience or infrastructure resilience.

✨Brush Up on Technical Skills

Be ready to demonstrate your technical skills during the interview. This could involve discussing algorithms, coding challenges, or even whiteboarding solutions to problems related to AI and machine learning.

✨Ask Insightful Questions

Prepare thoughtful questions about the bank's transformation initiative and how the AI/Machine Learning team fits into it. This shows your genuine interest in the role and helps you understand the company's goals better.

AI / Machine Learning Engineer - Document AI /Intelligent Document
Essential Consulting
Location: Sheffield
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  • AI / Machine Learning Engineer - Document AI /Intelligent Document

    Sheffield
    Full-Time
    36000 - 60000 £ / year (est.)
  • E

    Essential Consulting

    50-100
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