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

Apply Now

Head of Artificial Intelligence

Seer
greater london, england, united kingdom
5 days ago
Applications closed

Related Jobs

View all jobs

Head of Artificial Intelligence, IgniteTech (Remote) - $400,000/year USD

Head of Artificial Intelligence, IgniteTech (Remote) - $400,000/year USD

Head of Artificial Intelligence

Data Scientist Genomic Epidemiology - Pathogen

Data Scientist Genomic Epidemiology - Pathogena

Associate Director, AI Data Scientist

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

Founder & Chief of AI Talent @ Seer (30,000 LinkedIn Connections)

Head of AI - Speech Recognition - London - £250,000 - £400,000

Seer is partnering with an innovative speech recognition company that is transforming the way AI interacts with language. Backed by £30,000,000 in Series A funding, this company is at the cutting edge of developing advanced speech recognition technologies and is seeking an experienced Head of AI to lead their AI strategy and innovation efforts.

As the Head of AI, you will be responsible for driving the technical vision and overseeing the development of state-of-the-art speech recognition systems, NLP models, and voice-driven AI technologies. This is a unique opportunity to lead a talented AI team and shape the future of voice-based AI products.

Key Responsibilities:

  1. Lead the AI and machine learning strategy, overseeing the development of speech recognition models, natural language processing (NLP), and voice-based AI technologies.
  2. Build, manage, and mentor a high-performing AI team, fostering a culture of innovation, collaboration, and excellence.
  3. Direct the research and implementation of cutting-edge machine learning algorithms to improve the accuracy, efficiency, and scalability of speech recognition and NLP systems.
  4. Collaborate closely with product and engineering teams to integrate AI-driven solutions into the company’s products and ensure seamless user experiences.
  5. Ensure the scalability and reliability of speech recognition models, optimizing them for real-world applications across various industries.
  6. Stay at the forefront of AI research, identifying emerging trends and techniques in speech recognition and NLP to keep the company ahead of the competition.
  7. Present technical progress, vision, and findings to the executive team, investors, and other key stakeholders.

Ideal Candidate:

  1. Extensive experience in AI and machine learning, with a focus on speech recognition, NLP, and speech-to-text technologies.
  2. Proven experience leading AI teams and successfully deploying AI models in production environments.
  3. Strong academic background in machine learning, computational linguistics, or a related field.
  4. Expertise in deep learning, neural networks, reinforcement learning, and advanced techniques for improving speech recognition and NLP systems.
  5. Experience in developing AI-powered products, translating complex technical solutions into practical, scalable applications.
  6. A track record of building and scaling AI teams in a start-up environment, with the ability to set strategic direction and drive innovation.

Why Join?

  1. Competitive salary ranging from £250,000 to £400,000, depending on experience.
  2. Lead AI initiatives in a rapidly growing company with a significant Series A funding round, focused on transforming the speech recognition landscape.
  3. Opportunity to shape the future of voice-driven AI technology and have a direct impact on millions of users globally.
  4. Join a passionate and innovative team in a fast-paced, high-growth environment, driving the next generation of AI-powered products.

Due to the company being in stealth mode, more detailed information about the project will be shared during the initial recruiter call, as an NDA is in place.

If you’re an expert in AI and speech recognition with a vision for transforming voice technology, we want to hear from you. Please contact to express your interest or learn more.

Seniority level

Director

Employment type

Full-time

Job function

Research

Industries

Software Development


#J-18808-Ljbffr

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.