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- Tasks: Lead the development of an ethical AI staffing platform and innovate with cutting-edge technology.
- Company: Join Able, a pioneering ethical AI staffing platform transforming the gig economy.
- Benefits: Competitive salary, equity options, and a clear path to CTO for the right candidate.
- Other info: Dynamic startup environment with opportunities for career growth and ethical innovation.
- Why this job: Make a real impact on the future of work while working with advanced AI technologies.
- Qualifications: Experience in AI/ML product delivery and full-stack development across modern tech stacks.
The predicted salary is between 80000 - 100000 £ per year.
About Able
Able is an ethical AI-enhanced staffing platform that makes workers instantly bookable. Through comprehensive profiles ("gigfolios"), verified skills, availability calendars, and AI-assisted video biographies, we match workers to opportunities in minutes. We operate across hospitality, events, creative, and adjacent sectors. We're partnered with the Connect to Work programme across East London and with AIESEC university networks.
The Role
You will be the lead technical person on the Able platform. This is a hands-on delivery role with full ownership of building and shipping the technology. That means the entire product: the matching engine, the AI agents, onboarding flows for freelancers and businesses and enterprise clients, payments, the user experience, credential verification, career coaching, portable skills passports, training materials, and support for full-time workers alongside freelancers. You'll lead the technical delivery of all of it.
You'll work directly with the founder/CEO, who brings Fortune 100 transformation experience from BlackRock and Deloitte and deep domain expertise in workforce systems, AI strategy, and product direction.
Matching & AI Agents
Evolving the core matching engine and suite of AI agents that power the platform — onboarding, matching, suggestions, gig creation, incident detection, and support. Improving the intelligence, accuracy, and scalability of the entire system.
Credential Verification & Skills Infrastructure
ML document forensics for credential verification, autonomous agents navigating fragmented verification pathways across regulatory bodies and international qualifications, conversational AI career coaching integrated with labour market data, and a portable skills passport built on W3C Verifiable Credentials 2.0. Healthcare is the pilot sector because the verification landscape is the most complex — eight regulatory bodies, qualifications from 146+ countries, hundreds of training providers.
Payments & Compliance
Open Banking API integration and flexible payment infrastructure for enterprise clients. Right to Work verification via Passport Reader API and government share code API. Meticulous, fluent English language skills — written and verbal.
Currently building with AI and agentic systems — this is what you do right now
- Demonstrable experience delivering AI/ML products to production: shipped products that real users rely on.
- Strong proficiency with modern AI tooling including Claude, LLM integration, and autonomous agent architectures.
- Full-stack capability across a modern stack: Next.js/React, PostgreSQL, cloud infrastructure, W3C Verifiable Credentials, Open Banking/payment integrations.
- Self-managing and agile/sprint-disciplined: you plan your own work, set realistic timelines, and deliver against them.
- Startup experience: you understand the pace, the ambiguity, and the need to ship with limited resources.
- Genuine commitment to ethical AI and algorithmic fairness.
- Familiarity with credentialing systems, skills verification, or digital identity — W3C Verifiable Credentials, blockchain-based credentialing, Open Badges.
- Interest in the future of work: how AI changes employment, the skills economy, portable credentials, skills-based hiring.
- Experience with ML document analysis, fraud detection, or forensic verification.
- Experience building SOC 2 compliant or ISO 27001 certified systems.
- Knowledge of UK/EU regulatory landscape: EU AI Act, UK Employment Rights Bill, GDPR implications for AI in employment.
Ethical AI at Able
Able exists because the current system fails workers. AI should make employment fairer. Pseudonymised matching: algorithms never access names, photos, addresses, or demographic data. Zero worker fees and same-day pay. Compliance by design with the EU AI Act and UK Employment Rights Bill.
Compensation & Structure
- Salary: Competitive, based on experience.
- Equity: Available for candidates who demonstrate they can expand the vision and deliver on it.
- Path to CTO: For the right person, this role evolves into the technical leadership position as Able scales.
- Start date: June 2026.
- Location: London-based preferred (hybrid).
Send your CV and a brief note or video intro (preferred).
Lead AI Engineer. in London employer: Able
Contact Detail:
Able Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer. in London
✨Tip Number 1
Get your networking game on! Connect with people in the industry, especially those who work at Able or similar companies. Use platforms like LinkedIn to reach out and engage with them. A friendly message can go a long way!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your experience with AI/ML, make sure to share them. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for the interview like it’s a big game day! Research Able’s mission and values, and think about how your experience aligns with their goals. Be ready to discuss how you can contribute to their ethical AI vision.
✨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 the team at Able.
We think you need these skills to ace Lead AI Engineer. in London
Some tips for your application 🫡
Show Off Your Skills: Make sure your CV highlights your experience with AI/ML products and the tech stack mentioned in the job description. We want to see how you've delivered real-world solutions that users rely on!
Be Authentic: When writing your cover note or video intro, let your personality shine through! We’re all about ethical AI and fairness, so share what excites you about the future of work and how you align with our values.
Tailor Your Application: Don’t just send a generic CV! Tailor it to reflect your understanding of the role and how your experience fits into the specific challenges we face at Able. We love seeing candidates who do their homework!
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 from our team!
How to prepare for a job interview at Able
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like React, PostgreSQL, and AI tooling. Be ready to discuss your hands-on experience with these tools and how you've used them to deliver AI/ML products in the past.
✨Showcase Your Ethical AI Commitment
Able is all about ethical AI, so be prepared to share your thoughts on algorithmic fairness and how you've implemented ethical practices in your previous projects. This will show that you align with their values and mission.
✨Demonstrate Startup Agility
Highlight your experience in fast-paced environments where you had to self-manage and adapt quickly. Share specific examples of how you’ve successfully navigated ambiguity and delivered results with limited resources.
✨Prepare for Technical Challenges
Expect technical questions or challenges during the interview. Brush up on your problem-solving skills and be ready to demonstrate your thought process. This could involve coding exercises or discussing how you would approach specific technical problems related to the role.