Chief Vector Database Architect

European Tech Recruit
Edinburgh
1 year ago
Applications closed

Related Jobs

View all jobs

Applied AI and Machine Learning Scientist - Senior Associate

Founding Engineer - Chief of AI and Computer Vision

Machine Learning Engineer

Founding AI & Computer Vision Engineer — Equity, Unlimited PTO

Data Scientist - NonVolume

Data Scientist - NonVolume

Chief Vector Database Architect


European Tech Recruit are working closely with a multinational telecommunications company, based in Edinburgh, who are looking for a talentedChief Vector Database Architectto join their team.


In this role you will lead a cutting-edge vector database team. You’ll need to be an expert in areas like native indexing algorithms, document search, text vectorization, and the theory behind database system architecture.


Responsibilities asChief Vector Database Architect:

  • Spearhead innovation in vector databases, native indexing algorithms, document search, text vectorization, and AI data management technologies.
  • Drive strategic vision by analyzing industry trends, identifying short- and long-term goals, and evaluating application scenarios for vector databases.
  • Champion key technologies through collaboration, acquisition, or open-source initiatives in areas like native indexing, document search, text vectorization, and AI data management.
  • Lead and foster collaboration on global vector database projects.


Requirements:

  • Architect high-performance databases: Possess a deep understanding of database theory, system architecture, native indexing algorithms, and proficiency in at least one system-level programming language.
  • Pioneer innovative solutions: Demonstrate a proven ability to research, develop, and apply new concepts and methods for efficient data management, including document search, text vectorization, and AI data management technologies.
  • Champion effective communication: Contribute actively to team discussions, clearly articulating complex technical concepts and fostering collaboration.


Desirable Experience:

  • PhD degree in Computer Science or equivalent experience.
  • Publications in leading conferences and journals within the subject area.
  • Experience in leading technology and/or product success in database construction and natural language processing.
  • Familiarity with LangChain and vector databases such as Pinecone and Milvus is a plus.


If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to .


By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/).

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.