AI Engineering Director

Third Republic
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineering Director

Data Engineering Director

BDO Digital Data Architecture and Engineering Senior Manager/Director

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.

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

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

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

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.