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For Companies At a Glance
- Tasks: Lead AI projects, design prototypes, and influence technical direction in a dynamic lab.
- Company: Innovative organisation at the forefront of AI and content technology.
- Benefits: Competitive salary, hybrid work, generous benefits, and wellbeing support.
- Other info: Mentorship opportunities and a collaborative environment for growth.
- Why this job: Shape the future of AI while making a real impact on global change.
- Qualifications: Experience in generative AI systems and strong software engineering skills.
The predicted salary is between 120000 - 140000 £ per year.
This is a rare opportunity to step into a hands-on AI leadership role within a small, high-impact innovation lab. You will play a critical role in shaping how advanced AI capabilities are explored, prototyped and brought closer to real-world products, with genuine influence over technical direction during a pivotal period for the team.
The Company
They are a recognised organisation operating at the intersection of content, technology and insight, with a strong reputation for intellectual rigour and independence. Their work reaches a large audience and supports individuals and organisations in understanding complex global change. The business is investing significantly in AI to explore new ways of delivering value, while maintaining the highest standards of quality and trust. A dedicated AI Lab has been created to push beyond the existing roadmap and experiment with what is next.
The Role
- Provide senior technical leadership within the AI Lab, taking ownership of complex engineering decisions and hands-on delivery.
- Provide technical leadership and continuity within the AI Lab during a period of team transition.
- Design, build and iterate on AI driven prototypes across text, audio, voice, video and multimodal experiences.
- Lead experimentation with new models, tools and workflows, assessing their suitability for different use cases.
- Shape pragmatic architectures that balance speed, flexibility, quality and future scalability.
- Help identify where advances in AI can create distinctive value for audiences and products.
- Contribute to the longer-term technical direction of the Lab, influencing what capabilities to build or scale.
- Support and mentor other technical contributors where appropriate.
Your Skills and Experience
- Strong hands-on experience building modern generative AI systems in production or advanced prototype environments.
- Excellent software engineering capability with a pragmatic approach to rapid prototyping.
- Experience working with multiple modalities such as text, audio, voice, video or conversational interfaces.
- Ability to clearly explain technical concepts to non-technical stakeholders.
- Experience defining and applying evaluation approaches for AI quality, reliability and usability.
- Must have experience working in a content creation environment.
What They Offer
- Competitive salary and comprehensive benefits package.
- Hybrid working with regular collaboration from a London office.
- Generous pension, private healthcare and wellbeing support.
- Flexible working benefits including work from anywhere options.
- Strong parental leave, annual leave and additional wellbeing days.
How to Apply
Apply below or email me at.
Lead AI Engineer in London employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, prototypes, or any relevant work. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI engineering. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead AI Engineer role. Highlight your hands-on experience with generative AI systems and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our AI Lab. Be sure to mention specific experiences that demonstrate your leadership and technical skills.
Showcase Your Projects: If you've worked on interesting AI projects, don’t hold back! Include links or descriptions of your work in your application. We love seeing real-world applications of your skills, especially in content creation environments.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your AI Stuff
Make sure you brush up on your knowledge of generative AI systems and the latest tools. Be ready to discuss your hands-on experience with prototypes and how you've tackled complex engineering challenges in the past.
✨Showcase Your Leadership Skills
Since this role involves technical leadership, think about examples where you've led a team or project. Prepare to share how you’ve influenced technical direction and mentored others, as this will demonstrate your capability to guide the AI Lab through its transition.
✨Communicate Clearly
You’ll need to explain technical concepts to non-technical stakeholders, so practice simplifying complex ideas. Use relatable analogies or examples from your previous work to make your points clear and engaging.
✨Be Ready to Experiment
This role is all about innovation, so come prepared with ideas for new models or workflows you’d like to explore. Think about how you can balance speed, quality, and scalability in your designs, and be ready to discuss how these could create value for audiences.