Head of Data Science

KDR Talent Solutions
London
2 days ago
Create job alert

Get AI-powered advice on this job and more exclusive features.

KDR Talent Solutions provided pay range

This range is provided by KDR Talent Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Up to £140k base

Building teams within the AI space. Machine Learning, Computer Vision and Gen AI specialist.

Job Title:Head of Data

Type of Company:AI Biotechnology

Location:London (Hybrid)

The Company

Our client is a pioneering AI biotech company revolutionising medical research by merging human expertise with artificial intelligence. They focus on accelerating drug discovery and improving patient outcomes through AI-powered solutions.

The Role

As Head of Machine Learning, you will take a leadership role in driving the strategic development and application of machine learning methods to enhance drug discovery and therapeutic target identification. Leading the Frontier Research group, you will tackle complex challenges in the design of AI systems for drug development, applying advanced techniques to multimodal patient data. You will be a key decision-maker in shaping the future of AI-powered healthcare solutions and managing a high-performing team of experts.

  • Lead and oversee the development of advanced machine learning models to accelerate drug discovery and therapeutic solutions
  • Shape the strategic direction of the ML team, driving innovation in AI-powered drug development
  • Collaborate with senior leadership to align ML research with company goals and objectives
  • Guide the development of novel AI agents, improving the platform for drug discovery
  • Publish high-impact research and contribute to the company’s intellectual property and scientific reputation
  • Foster a collaborative, forward-thinking environment within the team, mentoring and developing talent

Your Experience

  • Proven experience leading machine learning teams, particularly in a high-impact, research-driven environment
  • Expertise in advanced machine learning techniques, with a focus on LLMs/genAI, optimisation, or sequential learning
  • Strong background in Python, deep learning frameworks (TensorFlow, PyTorch, Jax), and ML model development
  • PhD in Computer Science, Machine Learning, Applied Mathematics, or related field, or equivalent experience
  • A history of successful scientific publications and contributions to top ML conferences (NeurIPS, ICML)
  • Excellent communication skills, with the ability to represent technical expertise to both technical and non-technical stakeholders

If you fit the bill and are interested, please apply with an updated CV!

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Biotechnology Research, Medical Equipment Manufacturing, and Hospitals and Health Care

J-18808-Ljbffr

Related Jobs

View all jobs

Head of Data Science

Head of Data Science

Head of Data Science (Credit Risk & Fraud)

Head of Data Science

Head of Data Science

Head of Data Science

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.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.