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- Tasks: Lead the Applied AI division and shape the future of conversational AI.
- Company: Established PE-backed tech company with a focus on innovative AI solutions.
- Benefits: Competitive salary, comprehensive benefits, and flexible remote or hybrid work options.
- Why this job: Join a pioneering team and make a significant impact in the AI landscape.
- Qualifications: Experience in leading AI functions and hands-on product validation.
- Other info: Dynamic environment with opportunities for growth and collaboration.
The predicted salary is between 140000 - 150000 £ per year.
TalentCo are delighted to be partnering with an established PE-backed tech company and an AI consultancy looking to hire a high-calibre Head of Applied AI Engineering into their UK business, as they build a new conversational AI platform from the ground up. This hire can either be based remote-first in the UK with occasional travel to work with the team in person, or hybrid out of their London HQ, with plenty of flexibility to suit individual circumstances.
The client are developing a low-code, multi-tenant platform that enables large enterprises to design, build and deploy AI agents capable of handling both single-step LLM tasks and complex multi-step agentic workflows.
As Head of Applied AI Engineering you will:
- Lead the Applied AI division end-to-end, setting the product vision for the multimodal AI orchestration platform and translating it into concrete technical and research priorities.
- Define and validate product strategy through deep customer research, rapid prototyping and early forward-deployed pilots that test real-world constraints, user flows and model behaviour.
- Build and oversee the technical foundations of the platform, including fine-tuned and specialised language models, private-cloud deployment patterns and architectures that meet strict security, compliance and industry requirements.
- Establish and manage the partner ecosystem across model providers, cloud infrastructure and telephony platforms to accelerate capability development and de-risk execution.
- Lead and coordinate AI engineering squads delivering prototypes and production foundations, while maintaining tight alignment with the CTO, CPO, Legal, Compliance and core Engineering teams.
- Ensure the division operates with high velocity and experimentation, balanced by enterprise-grade governance, technical rigour and operational discipline.
We want to hear from you if:
- Have led an applied AI or ML function, owning product direction and technical strategy for enterprise-grade AI platforms.
- Have operated as an AI Engineer or AI Architect at Staff / Principal / Tech Lead level previously.
- Bring hands-on experience validating AI products through early customer pilots, rapid prototyping and real-world deployment rather than purely theoretical work.
- Have a strong track record of building and scaling cross-functional teams, partnering closely with engineering, product, legal and compliance stakeholders.
- Understand enterprise constraints deeply, including security, privacy, regulatory and industry-compliant model development and deployment.
What do they offer?
- Salary of £140k-£150k
- Comprehensive benefits package
- Remote-first or hybrid - the choice is yours
- Work from anywhere policy
Head of Applied AI Engineering in Hull employer: TalentCo
Contact Detail:
TalentCo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Applied AI Engineering in Hull
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your past projects, especially those related to applied AI. Share your insights on platforms like LinkedIn or Medium. This not only demonstrates your skills but also gets you noticed by potential employers.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s products and values. Understand their AI platform and think about how your experience aligns with their goals. Tailor your responses to show how you can lead their Applied AI division effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for top talent like you to join our team and help shape the future of AI engineering.
We think you need these skills to ace Head of Applied AI Engineering in Hull
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Head of Applied AI Engineering. Highlight your experience in leading AI functions and any hands-on projects that align with the job description. We want to see how your skills fit into our vision!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about applied AI and how your past experiences have prepared you for this role. Be genuine and let your personality come through – we love a good story!
Showcase Relevant Projects: If you've worked on any AI platforms or projects, make sure to include them in your application. We’re keen to see examples of your work, especially those that demonstrate your ability to handle complex workflows and real-world deployments.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at TalentCo
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in applied AI and machine learning. Be ready to discuss your hands-on experience with AI products, especially how you've validated them through customer pilots and real-world deployments.
✨Showcase Your Leadership Skills
As a Head of Applied AI Engineering, you'll need to demonstrate your ability to lead cross-functional teams. Prepare examples of how you've built and scaled teams in the past, and how you've collaborated with engineering, product, legal, and compliance stakeholders.
✨Understand the Business Side
Familiarise yourself with enterprise constraints like security, privacy, and regulatory requirements. Be prepared to discuss how you've navigated these challenges in previous roles and how you plan to ensure compliance while driving innovation.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's vision for their conversational AI platform, their approach to rapid prototyping, and how they manage their partner ecosystem. This shows your genuine interest and strategic thinking.