At a Glance
- Tasks: Lead AI data projects, build databases, and develop 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 technology.
- 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 Brighton 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 rapid feedback and influence on architectural decisions. This is an ideal opportunity for those looking to make a significant impact in a high-impact AI team while contributing to the core data foundation of a fast-scaling compliance intelligence platform.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Lead in Brighton
✨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 beyond the application!
✨Tip Number 3
Prepare for the interview by diving deep into the company’s tech stack and recent projects. Being knowledgeable about their work will impress them and show you’re genuinely interested.
✨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, we love seeing candidates who take that extra step!
We think you need these skills to ace AI Data Lead in Brighton
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 keen on 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 tools 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 around document parsing and data modelling. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Understand the Compliance Landscape
Since this role is tied to compliance, brush up on relevant laws and regulations that impact AI and data management. Being able to discuss how your work aligns with compliance standards will set you apart.
✨Engage with the Team Culture
Research Deeprec.ai's engineering culture and be prepared to discuss how you can contribute to their AI-first approach. Show enthusiasm for collaboration and innovation, as they value a forward-thinking mindset.
