At a Glance
- Tasks: Lead AI data initiatives, build scalable databases, and design innovative data models.
- Company: Join a cutting-edge AI compliance company with a forward-thinking culture.
- Benefits: Competitive salary, flexible working, and direct access to leadership.
- Other info: Be part of a high-impact team with excellent growth opportunities.
- Why this job: Make a real impact in AI while shaping the future of compliance intelligence.
- Qualifications: Experience with vector databases, strong SQL skills, and proficiency in Python.
The predicted salary is between 180000 - 200000 £ per year.
Deeprec.ai is proud to announce our partnership with a leading AI Compliance company. They use a modern tech stack to help companies stay on track with laws and regulations worldwide. This remote AI Data Lead role will enable you to join a forward-thinking engineering culture that embraces AI tools as practical productivity accelerators and innovation enablers.
What You’ll Do
- Own the end-to-end Client & AI Data Vault, from ingestion to AI retrieval.
- Build and scale vector databases and RAG infrastructure in production.
- Prototype chunking and embedding strategies using real client data and AI coding tools.
- Develop parsers for complex documents including PDFs, DOCX, spreadsheets, and scans.
- Design data models connecting client content to regulatory concepts and gap analysis.
- Maintain high standards for data quality, performance, testing, and engineering practices.
Requirements
- Production experience with vector databases (e.g. Qdrant, Pinecone, Weaviate, pgvector), including tuning for performance and recall.
- Experience building chunking and embedding pipelines for complex documents.
- Strong SQL and data modelling skills in production systems.
- Experience extracting data from PDFs, DOCX, and scanned documents (incl. OCR/layout-aware parsing).
- Strong Python plus at least one systems-level language.
- Experience with Azure (preferred) or AWS/GCP, CI/CD, and containers.
- Hands-on experience with RAG or hybrid retrieval systems.
- Effective use of AI coding assistants in development workflows.
- Proven track record of shipping production AI or data systems.
What will make you great
- Experience with multi-tenant data architectures and isolation patterns.
- Experience with Elasticsearch, OpenSearch, or similar search engines.
- Background in NLP, information extraction, or document understanding.
- Experience with Kafka or similar messaging systems.
- Experience in regulated industries with strict audit and versioning requirements.
- Contributions to open-source retrieval, embedding, or parsing tools.
What You’ll Get?
- Join a small, high-impact AI team where the data layer is a core product enabler, not backend plumbing.
- Direct access to leadership with fast feedback loops and real influence on architecture.
- AI-first culture that treats tools as productivity multipliers.
- Competitive compensation, benefits, and flexible working.
- Opportunity to build the core data foundation of a fast-scaling compliance intelligence platform.
AI Data Lead in Wakefield employer: HealthTech AI
Deeprec.ai offers an exceptional work environment for the AI Data Lead role, characterised by a forward-thinking engineering culture that prioritises innovation and productivity through AI tools. Employees benefit from competitive compensation, flexible working arrangements, and direct access to leadership, fostering a collaborative atmosphere where their contributions significantly impact the architecture of a fast-scaling compliance intelligence platform. With a strong focus on employee growth and a commitment to maintaining high standards in data quality and performance, Deeprec.ai is an ideal employer for those seeking meaningful and rewarding employment in the AI sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Lead in Wakefield
✨Tip Number 1
Network like a pro! Reach out to people in the AI and data space, especially those who work at Deeprec.ai or similar companies. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to vector databases, chunking strategies, or any relevant AI tools. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss your experience with data models and document parsing. We want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at Deeprec.ai.
We think you need these skills to ace AI Data Lead in Wakefield
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Data Lead role. Highlight your experience with vector databases and data modelling, as these are key to what we’re looking for. Show us how your skills align with our needs!
Showcase Your Projects:Don’t just list your skills; give us examples! Share specific projects where you’ve built chunking and embedding pipelines or worked with complex documents. We love seeing real-world applications of your expertise.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at HealthTech AI
✨Know Your Tech Stack
Familiarise yourself with the specific technologies mentioned in the job description, like vector databases and AI coding tools. Be ready to discuss your hands-on experience with these technologies and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges, especially with document parsing and data modelling. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your impact.
✨Understand the Compliance Landscape
Since this role is tied to compliance, brush up on relevant laws and regulations that affect data handling. Being able to discuss how your work aligns with compliance standards will show you're a great fit for their culture.
✨Engage with Questions
Prepare thoughtful questions about the company's AI-first culture and their approach to data quality and performance. This not only shows your interest but also helps you gauge if the company aligns with your values and career goals.
