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- Tasks: Drive innovation in digital rights and market data by developing AI-powered solutions.
- Company: Join a leading Commercial & Investment Bank with a focus on technology and innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make an impact by enhancing user experience with cutting-edge AI technologies.
- Qualifications: Experience in AI, Python, and data management is essential.
- Other info: Collaborative environment with a focus on career development and learning.
The predicted salary is between 36000 - 60000 £ per year.
As an Engineer Associate in the Market Data team, Commercial & Investment Bank (CIB), you will drive innovation in digital rights and market data discovery by developing advanced AI-powered solutions. As a key contributor, you will leverage your expertise in GenAI, AgenticAI, Python, RAG, and MCP to build and optimize the SCUDO platform—an industry-leading, patented application for digital rights management and market data discovery. You will collaborate with cross-functional teams to deliver high-impact solutions that enhance business user experience, workflow efficiency, and cost transparency.
As an Associate Engineer in the Market Data Services team, you will be instrumental in extending SCUDO’s capabilities from digital rights management to a multi-module platform, embedding generative AI for contract data extraction, market data query answering, and AI-driven analytics dashboards. You will be recognized for your technical acumen in AI document parsing, LLM integration, and data management.
Job Responsibilities- Design, develop, and maintain advanced solutions for automating extraction, processing, and management of information from diverse document types (PDFs, Word files, scanned images, etc.)
- Leverage OCR, NLP, and machine learning technologies to accurately parse and structure unstructured and semi-structured data
- Optimize the accuracy, performance, and scalability of document parsing pipelines; maintain technical documentation and provide training/support to stakeholders
- Document integration architectures, protocols, and operational procedures
- Validate data contracts and usage rights, ensuring compliance and optimal utilization
- Work extensively with RDF data, utilizing SPARQL for graph queries
- Manage and query data using SQL for Oracle databases and No-SQL DSL for ElasticSearch
- Collaborate with stakeholders to ensure data solutions meet business and regulatory requirements
- Actively participate in Agile ceremonies and two-week sprint cycles
- Stay current with advancements in MCP, LLMs, and AI integration technologies
- Hands-on experience with large language models (LLMs) and GenAI frameworks
- Proficiency in Python and AI/ML libraries
- Experience with retrieval systems, vector databases, and search technologies
- Familiarity with RAG architectures and best practices
- Understanding of prompt engineering, model fine-tuning, and evaluation
- Demonstrated ability to validate data contracts and usage rights
- Strong expertise with RDF data and SPARQL graph query languages
- Experience with document parsing technologies (OCR, NLP, machine learning)
- Experience with AWS Neptune, AWS Glue, ElasticSearch, and Oracle database products is beneficial
- Proficient in SQL for Oracle and No-SQL DSL for ElasticSearch
- Knowledge of MCP server technology
- Track record of developing and implementing data management policies and best practices
- Excellent communication and stakeholder management skills
Digital Engineer in Scotland employer: Ubique Systems
Contact Detail:
Ubique Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Engineer in Scotland
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving AI, Python, or document parsing. This gives employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI, data management, and collaboration. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to innovative solutions in digital rights and market data.
We think you need these skills to ace Digital Engineer in Scotland
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Digital Engineer role. Highlight your expertise in Python, AI/ML libraries, and any relevant projects you've worked on that showcase your ability to drive innovation in digital rights and market data.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background in GenAI and document parsing aligns with our goals at StudySmarter. Keep it engaging and personal!
Showcase Your Technical Skills: Don’t shy away from listing your technical skills! Be specific about your experience with LLMs, OCR, NLP, and any other technologies mentioned in the job description. We want to see how you can contribute to enhancing the SCUDO platform.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Ubique Systems
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, GenAI, and document parsing. Brush up on your knowledge of LLMs and how they integrate with AI solutions. Being able to discuss these topics confidently will show that you're not just familiar but truly engaged with the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges or optimised processes. Think about times when you used OCR or NLP technologies to solve a problem. This will demonstrate your hands-on experience and ability to think critically under pressure.
✨Understand the Business Impact
Be ready to explain how your technical skills can enhance business user experience and workflow efficiency. Research the company’s goals and think about how your contributions can align with their objectives. This shows that you’re not just a techie but also understand the bigger picture.
✨Engage with the Interviewers
Don’t hesitate to ask questions during the interview. Inquire about the team dynamics, current projects, or how they envision the SCUDO platform evolving. This not only shows your interest but also helps you gauge if the company culture is the right fit for you.
