Director of AI

Harnham
London
3 days ago
Applications closed

Related Jobs

View all jobs

Sr. Director of Engineering, AI & ML

Director of Software Engineering

Director of Software Engineering

Engagement Manager, Enterprise

Director of Engineering, Customer Operations

Director of Business Development

DIRECTOR OF AI - BioTechnology

Up to £130,000 + 10% bonus + 10% Pension + Private Healthcare

LONDON - 4 Days in office


Lead a growing team of AI Scientists working on high-impact, AI driven machine learning models to drive innovation in the BioTech space - specifically around drug discovery and RNA sequencing


ROLE AND RESPONSIBILITIES

  • Working closely within a small team, to design and build models across LLMs, NLP and Computer Vision
  • Working alongside technical and non-technical stakeholders, creating insights and reports on key findings
  • Driving the latest innovative research in AI, building and deploying core projects onto their AI driven platforms


SKILLS AND EXPERIENCE

  • MSc or PhD in STEM/AI related subject
  • Proficiency in Python, SQL and DevOps & CI/CD
  • Experience in Computer Vision/LLMs/NLP is required
  • Background in HealthTech, BioTech, PharmaTech is a large benefit but otherwise any tech company working on the projects above
  • Excellent communication skills with proven experience working with stakeholders
  • Research/Academic background is a big bonus too
  • Strong experience with (or the desire to) lead a team.


Apply below!

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.