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 Colchester 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 emphasis 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 Colchester
✨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 written application.
✨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, as these are key to the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI Data Lead in Colchester
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!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work that relate to the requirements in the job description. We love seeing how you’ve tackled challenges in real-world scenarios.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to see why you’re a great fit for the team!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
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 team dynamics highly.
