Motorway on cord

Motorway

Senior Generative AI Engineer

External position
London, UK
Hiring internally for Motorway?
Automotive · Logistics · Marketplace
The UK’s fastest-growing used car marketplace.
Active
over 6 months ago
Posted
a week ago
Checked
cord regularly checks that external positions are still open
22 hours ago

Skills & Experience

Job roles: AI Engineer
Experience level: Senior
Core skills considered: Artificial Intelligence, Python, SQL, AWS
Other skills considered: GCP, APIs, Data Pipelines, Data Modeling

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid (up to 3 remote days p/w)
Visa sponsorship: Not available

Job Description

We're looking for a Senior GenAI Engineer to build AI applications and agentic workflows for Motorway, taking them from rapid prototype through to production-grade systems that deliver measurable value.

You'll take a problem that isn't fully defined yet and see it through to a reliable system running in production: the prompting, the retrieval, the agent design, the evals, the guardrails, the monitoring. You own that whole stack. There's no separate team who "productionises" your work later.

Most of what makes a GenAI feature good sits around the model rather than in it. The prompting is rarely the hard part. Retrieval quality is, and so is the data feeding it, evaluation you can trust, sensible behaviour when things fail, and getting it live and keeping it there. If that's the work you want to do, we're not precious about the route you took to get here. Some of us came through data science and machine learning and deliberately built up our software engineering; others came the other way.


In this role, you will:

  • Own AI features end to end, from an ambiguous problem through to a reliable, observable system that real customers depend on.
  • Build the retrieval and data foundations these features stand on, and treat retrieval quality as a first-class engineering problem rather than a tuning exercise.
  • Design evaluation and monitoring approaches that make quality, reliability and safety measurable rather than assumed.
  • Build AI applications and agents using LLMs, orchestration, APIs and data systems, applying solid production software practices throughout.
  • Make the calls on models, cost and latency that shape what a feature costs us to run, and document the reasoning so others can follow it.
  • Prototype quickly, work out what is reusable, and harden the patterns that work into components the rest of the team adopts.
  • Raise the quality of the work around you through code review, design feedback and the standards you set by example.
  • Represent your technical decisions directly to product managers and stakeholders, translating model behaviour into business consequence.

About you

  • You've shipped AI or ML systems that real users depend on, and you've stayed close enough to production to know how they behave when they break.
  • Strong Python, and SQL you genuinely use. A lot of this work is data work: assembling grounding data, building golden datasets, and digging into why something failed.
  • You've invested deliberately in your software engineering craft: testing, error handling, CI/CD, observability, and the MLOps practices that keep things healthy once they're live.
  • You're hands-on across the GenAI stack: LLM APIs, retrieval and vector stores, agents with tool use, and structured outputs, running on cloud infrastructure (we use AWS and GCP).
  • You have a real point of view on evaluation, most likely because you've been caught out by a system that looked fine and wasn't.
  • You can reason about how models fail, including hallucination and prompt injection, and what that means for someone who trusts the output.
  • You know when to reach for a model, when something simpler will do, and when to stop.
  • You're a constructive reviewer, and colleagues are better off for having worked alongside you.

You could be a great fit if

  • You're curious about how things actually work, and you follow that curiosity past the first plausible answer.
  • You're drawn to problems where the right approach isn't obvious yet.
  • You're honest about the limits of what you know and pull people in early rather than late.
  • You take responsibility for what you ship, watch how it behaves, and fix it when it breaks.
  • You get satisfaction from the unglamorous work that makes an AI feature actually good, not just the part that demos well.
  • You can disagree well, and commit once a decision is made.

Company Benefits

  • A competitive salary
  • Significant stock options — we succeed and fail together as a team — we want you to be included in our success
  • £500 annual learning budget with access to General Assembly courses, an Audible subscription and hundreds of books and online lessons
  • BUPA health insurance
  • Pension scheme
  • Motorway car leasing scheme — lease a zero-emissions electric vehicle at a significant discount
  • Enhanced maternity/paternity leave
  • Flexible working (approximately 2-3 days in the office a week) with the option to work fully remote for a month per year
  • Top spec M1 MacBook Pro and accessories
  • Regular social events
  • Cycle to work scheme
  • The chance to join a rapidly growing, revenue-generating startup and build products that will change an industry
  • The chance to work with the latest and greatest technologies, free from legacy systems and red tape
  • If you’re into cars, opportunities to work with vehicle data and learn about the automotive industry. We also have some fun, car-related activities (as well as non-car fun too!)
Senior Generative AI Engineer at Motorway
Position posted a week ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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