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For Companies At a Glance
- Tasks: Lead AI/ML projects, design scalable models, and mentor a dynamic team of engineers.
- Company: Join RedCloud, a pioneering tech firm transforming global supply chains with AI.
- Benefits: Enjoy 25 days annual leave, enhanced pension, private healthcare, and stock options.
- Other info: Be part of a diverse team driving innovation across multiple continents.
- Why this job: Make a real impact in a fast-paced environment while shaping the future of AI.
- Qualifications: Proven experience in AI/ML and strong leadership skills required.
The predicted salary is between 80000 - 100000 ÂŁ per year.
About RedCloud
The global supply chain is broken—creating a $2 trillion inventory gap where essential consumer goods fail to reach the people who need them. Brands miss sales, distributors mismanage stock, and retailers face empty shelves. The result? Higher prices, slower growth, and lost opportunity across the board. RedCloud is fixing this. Our RedAI digital trading platform, bulk and retail trading exchanges connect key parts of the supply chain—enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment—facilitating smarter everyday business decisions for our customers, from factory to warehouse to store.
Headquartered in London, RedCloud became a publicly listed company on Nasdaq (RCT) in March 2025. With a diverse team spanning many nationalities and operations across Africa, the Middle East, Europe, and Latin America, we’re building a more connected and efficient global trade network. Our AI labs are exploring the next generation of smart AI agents and deeper FMCG market intelligence for our growing global footprint.
The Role
We are seeking a highly experienced AI Lead who combines deep technical expertise with team leadership. In this role, you will design, build, and maintain AI/ML capabilities, models, and LLM-powered solutions that power our products and customer experiences. You will lead a squad of AI engineers and data scientists, ensuring high-quality delivery while fostering a culture of accountability, innovation, and continuous improvement. Working closely with product managers and engineering leadership, you will guide architectural decisions, support delivery excellence, and ensure AI solutions are scalable, reliable, and impactful. This is a hands‑on leadership role, with approximately 70% focused on technical delivery and 30% on team leadership and process optimisation.
What you’ll be doing
- Deliver AI/ML Capabilities
- Design, build, and deploy scalable AI/ML models, APIs, and LLM‑based solutions (e.g. agents, chatbots)
- Ensure solutions are secure, reproducible, and aligned with product requirements
- Drive best practices in model development, evaluation, and deployment
- Collaborate with product and engineering teams to deliver impactful customer‑facing capabilities
- Lead Agile Delivery
- Facilitate Scrum ceremonies including stand‑ups, sprint planning, reviews, and retrospectives
- Drive continuous improvement in team processes and delivery efficiency
- Ensure realistic planning, accurate estimation, and consistent delivery of sprint goals
- Promote a culture focused on outcomes over output
- Technical Architecture & Decision Making
- Own the technical direction and architectural integrity of AI/ML solutions
- Lead design discussions and ensure alignment with wider engineering strategy
- Maintain clear documentation and decision logs for architectural choices
- Enable team autonomy through guidance and governance rather than top‑down control
- Resolve Issues & Handle Production Incidents
- Investigate and resolve issues across models, data pipelines, and AI systems
- Lead incident response for production outages, ensuring rapid mitigation and resolution
- Implement improvements to prevent recurrence and enhance system reliability
- Collaborate with Product & Stakeholders
- Work closely with Product Managers to refine and prioritise AI/ML initiatives
- Translate business needs into scalable technical solutions
- Act as a bridge between technical teams and business stakeholders
- Ensure Quality & Best Practices
- Conduct code and model reviews to maintain high engineering standards
- Champion best practices in testing, documentation, and scalability
- Ensure model performance and outputs are measurable, explainable, and reliable
- Estimate & Plan Work
- Lead estimation for AI/ML experimentation and delivery
- Use data‑driven approaches to improve planning accuracy over time
- Keeping Pace with Technology
- Stay up to date with advancements in AI/ML, LLMs, and engineering practices
- Evaluate and introduce new tools, frameworks, and methodologies
- Promote innovation through experimentation and knowledge sharing
- Soft Skills
- Mentor Members of the Team
- Coach and support engineers and data scientists at all levels
- Provide technical guidance, career development support, and constructive feedback
- Foster a collaborative, high‑performance team environment
- Support hiring, onboarding, and growth of team members
- Communication
- Communicate clearly and effectively across technical and non‑technical stakeholders
- Share progress, challenges, and insights through demos, updates, and documentation
- Encourage open feedback and transparent collaboration within the team
Even if you don’t meet every requirement, we still encourage you to apply. Your unique experiences and perspectives might be just what we’re looking for.
Benefits
Plus, you will get:
- 25 Days Annual leave, increasing to 26 days after 12 months in the business
- Enhanced Company Pension (Matched up to 5% & Salary Sacrifice)
- Healthcare Cashplan with Medicash
- Private Healthcare with Aviva
- Life Insurance with AIG
- Happl, our benefit platform which provides access to pre‑negotiated discounts on a wide variety of services including entertainment, food, and fitness.
- Mentor Members of the Team
AI Lead in London employer: RedCloud
Contact Detail:
RedCloud Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI/ML projects. This gives you a chance to demonstrate your expertise and passion, making you stand out to hiring managers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and team leadership. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at RedCloud.
We think you need these skills to ace AI Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Lead role. Highlight your experience with AI/ML capabilities and team leadership. 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! Share your passion for AI and how you can contribute to RedCloud's mission. Be sure to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Technical Skills: In your application, don't forget to highlight your technical skills, especially in AI/ML model development and architectural decision-making. We love seeing concrete examples of your work and how you've driven innovation in past roles.
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 RedCloud
✨Know Your AI Stuff
Make sure you brush up on the latest AI and machine learning trends, especially those relevant to supply chain management. Be ready to discuss your experience with scalable AI/ML models and how you've applied them in real-world scenarios.
✨Show Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've successfully managed teams in the past. Highlight your approach to fostering a culture of innovation and accountability, and how you’ve driven continuous improvement in previous projects.
✨Understand the Business Impact
RedCloud is all about connecting the supply chain and improving efficiency. Be ready to explain how your technical decisions have positively impacted business outcomes. Think about specific metrics or results that demonstrate your contributions.
✨Communicate Clearly
You’ll need to bridge the gap between technical and non-technical stakeholders. Practice explaining complex AI concepts in simple terms. During the interview, focus on clear communication and be open to feedback, showing that you value collaboration.