At a Glance
- Tasks: Enhance AI systems and automate processes to improve customer interactions.
- Company: Join Lendable, a leading fintech unicorn transforming credit and savings.
- Benefits: Flexible working, health coverage, retirement plans, and social events.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Be part of a winning team revolutionising finance with cutting-edge technology.
- Qualifications: Strong engineering skills and experience in building production AI systems.
The predicted salary is between 105750 - 129250 £ per year.
About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money.
We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's most exciting unicorns with a team of over 800 people Among the fastest-growing tech companies in the UKProfitable since 2017Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance.
We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.
We challenge the status quo to solve problems and find smarter solutions Build the best technology in-house: we use new data sources, machine learning and AI to make machines do the heavy lifting This role combines applied AI engineering, process design and hands-on Python development.
In under a year, we built a chatbot across Loans, Credit Cards and Motor Finance that now handles more than 1 million customer chats a year at around a 70% resolution rate.
It completes complex account actions autonomously, end to end, and we hold it to the same standard as our best operations agents.
We have also built AI document parsers that process around 500,000 documents a year, and are trialling voice AI on our phone lines.
You will help take these systems further and find the next high-impact processes to automate.
What you will do Improve the chatbot's quality and expand the account actions it can complete autonomously.
Find new opportunities to replace manual work with effective AI systems. Own solutions from discovery and prototyping through deployment, evaluation and monitoring.
What we are looking for Strong engineering skills and experience building production systems.
An understanding of business processes and good judgement about where AI can simplify or automate them.
Interview process Introductory call Take-home exercise Take home debrief Case study Onsite final interview Life at Lendable Winning team: the opportunity to scale up one of the world's most successful fintech companies Flexible working: flexible approach tailored to each role.
Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls Health coverage: support for your physical and mental wellbeing, including private health cover Retirement & savings: long-term financial wellbeing through retirement savings plans Employee referral programme: earn a competitive bonus when you refer successful new team members Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations Please note: For more information, please speak to your Talent Partner.
Remote AI Engineer in London employer: Lendable
Lendable is an exceptional employer that champions innovation and flexibility, making it an ideal place for a Senior Kotlin/JVM Engineer to thrive. With a vibrant work culture that prioritises collaboration and personal growth, employees are encouraged to develop their skills while contributing to impactful financial products. The company's commitment to flexible working arrangements further enhances the work-life balance, making it a rewarding environment for those looking to make a difference in the fintech space.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Lendable or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Lendable.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Lendable.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Lendable that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Remote AI Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Lendable.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Lendable and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Lendable
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Lendable uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.