Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AI Engineering Director

Third Republic
London
1 year ago
Applications closed

Related Jobs

View all jobs

Associate Director, AI Data Scientist

Contract Data Engineering Manager

VP/Director, Quantitative Developer - Risk Engineering (Crypto)

VP/Director, Quantitative Developer - Risk Engineering (Crypto)

VP/Director, Quantitative Developer - Risk Engineering (TradFi)

VP/Director, Quantitative Developer - Risk Engineering (TradFi)

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.