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- Tasks: Join a leading financial services team to develop AI solutions and enhance customer onboarding.
- Company: Sector-leading financial services client with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and opportunity for professional growth.
- Why this job: Make an impact by building cutting-edge AI models and collaborating with talented teams.
- Qualifications: Experience in Document AI, Python, and machine learning frameworks.
- Other info: Exciting contract role with potential for future opportunities.
The predicted salary is between 100000 - 140000 £ per year.
Location: Sheffield/Hybrid
Salary/Rate: £500 per day inside IR35
Start Date: 09/02/2026
Job Type: Contract - 6 months
Company Introduction
We have an exciting opportunity now available with one of our sector-leading financial services clients! They are currently looking for a skilled AI Engineer/Data Scientist to join their team for an initial 6-month contract.
Job Responsibilities/Objectives
- The Onboarding and Know Your Customer Value Stream incorporates onboarding products, platforms, and a delivery capability particularly suited to client-aligned agile delivery at pace.
- They are investing heavily across these domains with a strategic focus on increasing adoption of AI capabilities through our flagship AI journeys, day-to-day engineering and overall ways of working.
- To accelerate achieving our vision, we are seeking an experienced AI Engineer to join the Client Services and OBKYC Technology group.
- Building production-ready models to drive content extraction and classification from images and text-based sources.
- Working closely with business teams to understand requirements and iteratively design and develop solutions.
- Collaborative with product managers, technical teams.
- Create, test and iterate new and existing products and features.
- Designing and building Python/ML/OCR-based components.
- Not only supporting the development of the product, but also the full lifecycle including the deployment, testing and production support of the application.
Required Skills/Experience
The ideal candidate will have the following:
- Strong experience in Document AI/Intelligent document processing using traditional models and Generative AI – particularly in using open source models for achieving business outcomes.
- Experience delivering to production in Python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR – all additional positives.
- Experience with some of the following frameworks – TensorFlow, PyTorch, Hugging Face, spaCy, OpenCV, Regex or equivalents.
- Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs.
Desirable Skills/Experience
Although not essential, the following skills are desired by the client:
- Experience using PostgreSQL for data storage and management.
- Proficiency with Azure core services like Azure Virtual Machines and experience with one or all of Azure CLI, Azure Kubernetes Service (AKS) and Azure DevOps.
- Experience delivering in teams releasing at a high cadence to production.
Data Scientist/AI Engineer in Sheffield employer: Square One Resources
Contact Detail:
Square One Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist/AI Engineer in Sheffield
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially around AI and data science. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio of your projects, especially those involving Python, machine learning, or document AI. We love seeing real-world applications of your work, so make sure to highlight your best projects when chatting with potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive roles listed there that you won’t find anywhere else, so don’t miss out!
We think you need these skills to ace Data Scientist/AI Engineer in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of AI Engineer/Data Scientist. Highlight your experience with Document AI and any relevant frameworks like TensorFlow or PyTorch. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your previous projects align with our goals. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool projects, especially those involving machine learning or generative AI, make sure to mention them. We’re keen to see real-world applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Square One Resources
✨Know Your Tech
Make sure you brush up on your technical skills, especially in Python, machine learning, and document AI. Be ready to discuss your experience with frameworks like TensorFlow or PyTorch, as well as any projects you've worked on that involved content extraction or classification.
✨Understand the Business
Familiarise yourself with the financial services sector and how AI is being used to enhance client onboarding and KYC processes. This will help you align your answers with the company's goals and demonstrate your understanding of their needs.
✨Show Your Collaborative Spirit
Since the role involves working closely with product managers and technical teams, be prepared to share examples of how you've successfully collaborated in past projects. Highlight your communication skills and ability to iterate on solutions based on feedback.
✨Prepare for Practical Tests
You might face practical assessments during the interview, so practice coding challenges related to machine learning and document processing. Being able to demonstrate your problem-solving skills in real-time will set you apart from other candidates.
