AI Engineering Director

Third Republic
London
1 year ago
Applications closed

Related Jobs

View all jobs

Director of Software Engineering: Observability & AIOps

Executive Director: BHF Data Science Centre

Senior Director, Data Science and Analytics

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Do you have a knack for developing and mentoring different teams and delivering as per complex system requirements? Get ready to work with this pioneering AI company that is changing the way drug discovery is done.

As a Direct of AI Engineering, you will be recruiting and leading a cross-functional team and deliver cutting-edge data platform. You will also be enhancing the process of hiring and engaging with key stakeholders within the organisation.

What You’ll be Doing
• Recruit, develop or lead cross-functional teams and plan the delivery of a next-gen precision target data platform
• Work alongside tech leadership and align strategies with the engineering roadmap
• Report progress of the projects towards the end goal
• Engage and communicate with main users and stakeholders
• Understand requirements of stakeholders/users and transform and fulfil those requirements through engineering achievements and efforts
• Work with MLOps team and AI technology to fast track AI research
• Motivate and engage high-performance workers and help them deliver to their full potential
• Enhance the hiring process to develop and diversify the engineering teams while building precision target platform


What You’ll Bring in This Role
• More than 10 years of development experience of leading high-performing engineers
• Supervise all aspects of mentorship, leadership and career development
• Well-versed with delivering a project using graph database technology stack
• Experience of negotiating with multiple software vendors
• Proven competency in planning and managing the rollout of enterprise software platforms as part of an agile organization
• Know-how of major machine learning applications and methods
• Past experience and interest in drug/discovery and life sciences will be advantageous in this job role
• Knowledge of data engineering marketplace and background in cheminformatics and biology will be preferred


Your Benefits
Salary up to £200,000

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

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.