National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior PHP Engineer (Internal Tools)

zeroG - AI in Aviation
London
7 months ago
Applications closed

Related Jobs

View all jobs

Senior AI/ML Engineer - Data Science

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

About Lendable

Before applying for this role, please read the following information about this opportunity found below.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 toTake 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.About the roleWe’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 achieveDrive 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.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.Problem solving:

We like to create small teams (your team is

Shape Our Future:

Collaborate with the Product team and Ops leadership to help define and champion our operational strategy. We want our engineering team to be a key part of our strategy and planning process.Examples of problems to be solvedImplement the AI chatbot roadmap:

Develop and optimise the customer support chatbot. Can we reduce the volume of contact our agents have to deal with?Automate the complaints process:

Can we automate the complaints processes and recommend an outcome to our complaints officers?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?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 forStrong, modern PHP development experience (PHP 8+ is a must).A good understanding of a modern PHP framework like Symfony, Zend or Laravel.Experience with React or similar Front End frameworks.Strong design patterns and understanding of abstraction and interpolation.Exposure to Domain Driven Design, Message-Driven Systems and Event Sourcing is a plus.Strong testing skills.A desire to learn about Generative AI and LLMs, actual experience is a plus.A keen desire to want to learn and input into a highly collaborative team.If you’ve worked in a Kanban environment, it would be a plus but not needed.Tech stackWe use various technologies across the engineering team (see below), but this role will mostly be PHP backends and Next.js frontend.Backend:PHP 8Symfony 7KotlinAWSMySQLPostgreSQLRabbitMQDockerKubernetesFrontend:Next.jsReactTypeScriptMobXPlaywrightReduxStylus and SASSTooling:Github, Jira, Confluence, SlackGithub Actions, ArgoCDDatadog, Sentry and similar observability toolsInterview ProcessA 30 minute introductory call with the talent team.A short coding exercise to complete in your own time.Onsite or Video technical Interview lasting 60-90 minutes, comprising of:Introduction of the team and kind of work you could be doing daily.Discussion around the coding exercise you completed.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 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!

#J-18808-Ljbffr

National AI Awards 2025

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.