948,494open jobs
57,447companies
152,910added this week
Browse all
Salary
≈ $97k – $265k per year (Estimated)
Location
Hybrid (London, United Kingdom)
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 29, 2026. First seen by Alion on Sep 14, 2026. Lendable scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Lendable is a London-based fintech company that uses artificial intelligence and proprietary technology to automate credit decisions for consumer finance products, including personal loans, credit cards, and car finance. Founded in 2014, the platform connects institutional investors directly with individual borrowers, providing streamlined digital applications that offer instant quotes and fast payouts without long paperwork.

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 thefastest-growing tech companies in the UK

  • Profitable since 2017

  • Backed by top investors including Balderton Capital andGoldman 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 get money into our customers’ hands in minutes instead of days.

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.

Join us if you want to

  • Take ownership: you are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

  • Work in small teams of exceptional people: Lendies are relentlessly resourceful. 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. You will work on loosely defined problems, test ideas quickly and turn the strongest ones into reliable services.

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.

  • Expand our in-house document extraction pipelines to make parsing faster and more accurate.

  • Design LLM-driven workflows that simplify case management.

  • 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.

  • Hands-on experience using LLMs in real workflows.

  • Experience designing and improving prompts, retrieval pipelines, agent workflows and evaluations.

  • An understanding of business processes and good judgement about where AI can simplify or automate them.

  • The ability to structure ambiguous problems, test hypotheses and make progress with partial information.

  • Clear communication and the ability to explain trade-offs and influence stakeholders.

Why join us

  • Work with LLMs, retrieval systems, agents and automation pipelines every day.

  • Join a small, autonomous team with meaningful ownership and decision-making power.

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: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

Check out our blog!

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
948,494 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
London
AI Architect 2 days ago
$93k – $116k per year • Hybrid • Full-Time • Norwich
Python
PowerShell
AI/ML
Copilot
Prompt Engineering
AI Agents
Hallucination
Copilot Studio
Cybersecurity
Microsoft Entra ID
DLP
Apply
$79k – $112k per year • Hybrid • Full-Time • 2+ years exp • London
AI/ML
Mistral
LLM
OpenAI
DevOps
AIOps
Design
Canva
Management
Slack
Apply
≈ $97k – $265k per year (Estimated) • Remote (United Kingdom) • Contractor • London
AI/ML
AI Agents
Apply
≈ $100k – $272k per year (Estimated) • In office • Contractor • London
AI/ML
Copilot
Prompt Engineering
AI Agents
Management
Power Automate
Apply
AI Engineer 3 months ago
≈ $100k – $203k per year (Estimated) • Hybrid • 5+ years exp • London
Python
TypeScript
AI/ML
LangChain
AI Agents
Machine Learning
Apply
≈ $20k – $50k per year (Estimated) • In office • Full-Time • 10+ years exp • Bengaluru
Python
SQL
C#
C#
ASP.NET Core
Entity Framework Core
Polly
gRPC for .NET
Databases
Apache Kafka
AI/ML
ML.NET
Semantic Kernel
Pandas
NumPy
OpenAI
Machine Learning
Frontend
GraphQL
DevOps
Rest API
gRPC
Splunk
Terraform
Ansible
GCP
OpenShift
Azure DevOps
GitHub Actions
CloudFormation
Prometheus
GitLab CI
Azure
CI/CD
Jenkins
AWS
Docker
Kubernetes
Grafana
Amazon EKS
Azure AKS
API Gateway
Cybersecurity
SonarQube
QA
Swagger
Postman
Apply
Technical Analyst 2 days ago
≈ $42k – $117k per year (Estimated) • In office • Full-Time • Henderson
Python
PHP
DevOps
Splunk
Incident Management
Management
Agile
ITIL
Apply
≈ $14k – $32k per year (Estimated) • Hybrid • Full-Time • 7+ years exp • Manila
Python
SQL
Databases
Snowflake
DevOps
GCP
Azure
AWS
Analytics
Tableau
Power BI
Alteryx
Looker
Apply
Materials Engineer 6 days ago
≈ $23k – $44k per year (Estimated) • In office • Full-Time • 3+ years exp • Bachelor's Degree • Singapore
AI/ML
LLM
Analytics
Microsoft Excel
Apply
Full stack Dev 6 days ago
In office • Full-Time • 3+ years exp • Bachelor's Degree • Hyderabad
Python
JavaScript
Java
TypeScript
SQL
Node JS
Java
Spring Boot
Databases
RabbitMQ
Apache Kafka
AI/ML
AI Agents
Frontend
Angular
DevOps
GitLab CI
AWS
Docker
Kubernetes
Apply
≈ $115k – $239k per year (Estimated) • In office • Full-Time • 12+ years exp • Bachelor's Degree • London
Python
Databases
Databricks
Delta Lake
AI/ML
LangGraph
LangChain
Model Context Protocol
Function Calling
AI Agents
CrewAI
LLM
RAG
A2A
Human-in-the-Loop
Red Teaming
LLM Guardrails
Tool Use
DevOps
AWS
Kubernetes
Apply
Senior UI/UX Engineer 11 hours ago
≈ $98k – $173k per year (Estimated) • In office • Full-Time • London
JavaScript
TypeScript
Node JS
AI/ML
Time Series Forecasting
Frontend
Tailwind CSS
RxJS
React.js
Vite
Radix UI
shadcn/ui
Recharts
esbuild
DevOps
Rest API
Grafana
Apply
≈ $71k – $129k per year (Estimated) • In office • Full-Time • 3+ years exp • Bachelor's Degree • London
Analytics
Power BI
Microsoft Excel
Management
Outlook
Apply
≈ $67k – $110k per year (Estimated) • In office • London
Management
Microsoft Office
Apply
≈ $99k – $218k per year (Estimated) • Hybrid • London
Apply
See all jobs
This is one of many
948,494 more open roles from verified company boards, updated every day.