Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior PHP Engineer (Internal tools)

Lendable Ltd
London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Snowflake Data Engineer

Senior Data Scientist

Senior Data Analyst

Senior Data Scientist

Senior Data Engineer - 12 month FTC

Senior Data Engineer

About the role
We’re looking for a highly skilled PHP software engineer to join our Operations Tooling engineering team. You will need to be deeply knowledgeable with PHP and ideally have experience with React, whilst also being comfortable using your engineering skills to apply the right technological solution to the objectives proposed.
The team has a lot to do, we're not just enhancing operations; we're redefining them to deliver outstanding customer experiences and market leading efficiency.
This is your chance to make a significant impact by utilising AI and automations to make a major leap in the efficiency and experience of our operations teams, propelling our growth, and setting new standards in the industry.
Scaling our operations function in a sustainable manner is a key area of focus for the business and this role offers the opportunity to play a part in this. We are looking for someone to get stuck in and deliver. To achieve this you will work closely with both ops agents and the product team.

What you'll achieve:

  1. Drive Innovation: Use AI and automation to transform our operational processes. Your initiatives will increase efficiency and enhance customer journeys, allowing us to scale effectively without expanding our team size.
  2. Take ownership of the Ops function: You are trusted to make decisions that drive a material impact on the direction and success of our ops function from day 1.
  3. Problem solving: We like to create small teams (your team is 5 engineers) of exceptional people who can solve any problem we throw at them. This role will give you the space to solve problems in an innovative and scalable way.
  4. Shape Our Future: Collaborate with the Product team and Ops leadership to help define and champion for our operational strategy. We want our engineering team to be a key part of our strategy and planning process.

Examples of problems to be solved:

  1. Implement the AI chatbot roadmap: Develop and optimise the customer support chatbot. Can we reduce the volume of contact our agents have to deal with?
  2. Automate the complaints process: Can we automate the complaints processes and recommend an outcome to our complaints officers?
  3. Create agent facing workflows: Can we build out user friendly workflows to help our agents deliver a consistent and high quality service to our customers?
  4. Seamless data sharing: How do we build and integrate APIs across the business to improve data sharing and availability between products?

What we're looking for:

  1. Strong, modern PHP development experience (PHP 8+ is a must).
  2. A good understanding of a modern PHP framework like Symfony, Zend or Laravel.
  3. Experience with React or similar Front End frameworks.
  4. Strong design patterns and understanding of abstraction and interpolation.
  5. Exposure to Domain Driven Design, Message-Driven Systems and Event Sourcing is a plus.
  6. Strong testing skills.
  7. A desire to learn about Generative AI and LLMs, actual experience is a plus.
  8. A keen desire to want to learn and input into a highly collaborative team.
  9. If you’ve worked in a Kanban environment, it would be a plus but not needed.

Tech stack:

  1. Backend:
  2. PHP 8
  3. Symfony 7
  4. Kotlin
  5. AWS
  6. MySQL
  7. PostgreSQL
  8. RabbitMQ
  9. Docker
  10. Kubernetes
  1. Frontend:
  2. Next.js
  3. React
  4. TypeScript
  5. MobX
  6. Playwright
  7. Redux
  8. Stylus and SASS
  1. Tooling:
  2. Github, Jira, Confluence, Slack
  3. Github Actions, ArgoCD
  4. Datadog, Sentry and similar observability tools

Interview Process:

  1. A 30 minute introductory call with the talent team.
  2. A short coding exercise to complete in your own time.
  3. Onsite or Video technical Interview lasting 60-90 minutes, comprising of:
  4. Introduction of the team and kind of work you could be doing daily.
  5. Discussion around the coding exercise you completed.
  6. Onsite or video cultural/behavioural interview, including questions you may have about the company, role, etc.

Life at Lendable (check out our Glassdoor page):
The opportunity to scale up one of the world’s most successful fintech companies. Best-in-class compensation, including equity. You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas. Our in-house chef prepares fresh, healthy lunches in the office every Tuesday-Thursday. We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance. We're an equal opportunity employer and are looking to make Lendable the most inclusive and open workspace in London.
Check out our blog!

About Lendable:
Lendable is on a mission to make consumer finance amazing: faster, cheaper and friendlier. We're building one of the world’s leading fintech companies and are off to a strong start: One of the UK’s newest unicorns with a team of just over 400 people. Among the fastest-growing tech companies in the UK. Profitable since 2017. Backed 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 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 across a broad remit. 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, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo. Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.