Head of AI

London
1 year ago
Applications closed

Related Jobs

View all jobs

Associate Director, AI & Advanced Analytics

Data Scientist / Statistician (Model Developer)

Data Scientist / Statistician (Model Developer)

Data Scientist / Statistician (Model Developer)

Data Engineer

Senor / Lead Data Engineer

This is an exciting role for an experienced candidate to provide decision science and analytics leadership across the technical organisation within the business. As the Head of AI, you will be delivering best in class data analytics to the business,leadershipand a range of data-driven solutions to complex problems with very high levels of ambiguity using both structured and unstructured data across the enterprise.

Job Responsibilities

  • Guides and mentors a team of data scientists to use a wide range data science techniques for descriptive, diagnostic, predictive, and prescriptive analyses.

  • Sets the vision for manipulation and analyses of large and complex data sets.

  • Distils the complexities of analytics (tagging, data, reporting) into layman terms, providing impactful visualisations, actionable insights and test/optimisation opportunities.

  • Leads the team in leveraging machine learning and Artificial Intelligence technologies to drive real time customer centric decision making .

  • Builds out a world class data science team that is aligned to support to the business as key business function.

  • Provides thought leadership to support the key technology initiatives.

  • Utilises expertise to guide the decision on leading edge technical / business approaches and/or develops major new technical tools.

  • Facilitates communication between executives, staff, management, vendors, and other technology resources within and outside of the organization. Shares highly complex information related to areas of expertise.

  • Interacts with senior management to keep abreast of objectives. Interacts with direct reports and peers in management / customers / vendors to interpret information and improve cross-functional processes and programs. Builds and enhances key internal and external contacts.

    Basic Qualifications

  • Master's degree and at least 6 years of experience in a quantitative or computational function.

  • Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc.

  • Experience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences.

  • Deep knowledge of SQL.

  • Excellent communication skills (both orally and in writing) with a superb ability to communicate technical information to senior executives.

  • Previous experience contributing to financial decisions in the workplace.

  • Previous direct leadership, indirect leadership and/or cross- functional team leadership.

    If this is the role for you, apply today

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.