ASOS on cord

ASOS

Senior Engineering Lead

External position
London, UK
Hiring internally for ASOS?
E-Commerce · Fashion
Be whoever you want to be @ ASOS.
Active
over 6 months ago
Posted
a week ago
Checked
cord regularly checks that external positions are still open
14 hours ago

Skills & Experience

Job roles: Technical Architect
Experience level: Senior, Lead
Core skills considered: Machine Learning, Python, C#, APIs, Azure
Other skills considered: CI/CD, Scrum, Technical Direction, Building Teams

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
Visa sponsorship: Not available

Job Description

We're looking for a Senior Engineering Lead to build and lead our AI engineering team in FinTech and Fashion Tech at ASOS, the technology teams behind Finance and our Commercial, Buying and Merchandising functions. This is a hands on engineering leadership role. You'll line manage and grow a team of AI Engineers who build, deploy and support automation and agentic AI solutions, and you'll still write code yourself when it counts.

The teams we support run some of the highest volume, most process heavy operations in the business, from accounts payable, reconciliation and expenses in Finance, through to range planning, trading, stock and supplier data on the commercial side. There is real scope to take repetitive manual work off people, speed up decisions and give them their time back.

This is a delivery role rather than a strategy one. ASOS has a central AI team who own our AI policy, framework, approved tooling and guardrails, and you won't be setting that direction for the wider business. You'll build for the teams we support within it, working closely with the central team and our AI centre of excellence to stay aligned. Within that remit you own delivery end to end, from understanding the problem through to supporting what goes live, including the agents already running today.


Key Responsibilities

Leading and Growing the Engineering Team

  • Line manage a team of AI Engineers, covering objectives, one to ones, development, career progression and performance.
  • Grow the team. Hire well, onboard new engineers properly, and build the skills we need as the work changes.
  • Coach and mentor through design reviews, pairing and code review, and give honest feedback that helps people improve.
  • Look after the health of the team, balancing workload and capacity so people are on the right work and not carrying too much.

Technical Direction and Engineering Standards

  • Own the technical direction for the team, including the architecture, reusable patterns and reference solutions we build from.
  • Set and hold the engineering standards, covering code quality, testing, evaluation, peer review, CI/CD and secure by default habits.
  • Make the build or buy calls for your team, and keep an eye on running cost, performance and technical debt.

Building and Running AI Solutions

  • Stay hands on. Lead from the front by writing code, prototyping, unblocking your team and picking up the hardest builds yourself.
  • Design, build and ship production ready agentic AI and automation solutions: agents that can plan, reason, use tools, retrieve information, act across our systems and hand back to a person when they should.
  • Build the integrations that make agents genuinely useful, connecting them to platforms such as Microsoft Dynamics 365 Finance and Operations, ReconArt, Concur, ServiceNow and our data platform, and use retrieval augmented generation and grounding so solutions are accurate against real business data.

Owning Delivery

  • Own delivery for the team. Plan and prioritise the backlog, manage capacity and dependencies, and move work quickly from proof of concept into production.
  • Run the team's work through Azure DevOps and follow the wider ASOS delivery process, including governance, change control and release cadence.
  • Own the agents and automations already live, put proper operational foundations in place including monitoring, alerting, runbooks and clear ownership, and lead incident response when things go wrong.

Working with Stakeholders and the Central AI Team

  • Get out into Finance, Commercial, Buying and Merchandising to understand how people really work and what is genuinely worth automating, and explain the options back in plain language.
  • Build inside the policies, approved tooling and guardrails the central AI team sets, and be our main point of contact with them and the AI centre of excellence so we stay aligned.
  • Track and evidence the benefit delivered, whether that is time saved, manual effort removed or cycle times cut, and report progress and risks honestly to senior stakeholders.

Why This Role Matters

Automation and agentic AI are the biggest opportunity we have to change how these teams work. Done well, they take repetitive work off people's plates, shorten month end close and trading decisions, and free our teams up for the things only people can do.

The central team provides the framework and the guardrails. What we need now is someone to build and lead the team that delivers against it: a hands on engineering leader who can grow engineers, set the technical bar, keep stakeholders confident, and still open the laptop and build.


Engineering Leadership

  • Experience line managing a team of engineers, covering one to ones, development, performance and hiring, while staying technically hands on.
  • A track record of setting technical direction and engineering standards, and lifting the quality of what a team produces.
  • Experience owning delivery for a team, including planning, prioritisation, capacity and reporting progress to senior stakeholders.
  • Comfortable delivering inside a framework someone else owns, working alongside a central or platform team, and able to push back constructively when it matters.

AI and Automation

  • Real, demonstrable experience designing and building agentic AI solutions that have gone live and are genuinely used, rather than pilots.
  • Strong practical experience with LLM and agent frameworks such as Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel, LangChain, LangGraph, AutoGen or CrewAI, and with core agent patterns including tool calling, orchestration, memory, multi agent workflows and retrieval augmented generation.
  • Experience with workflow and process automation tooling such as Power Platform, Logic Apps or RPA, and with evaluating how agents perform across accuracy, guardrails, reliability and cost.

Engineering and Communication

  • A strong software or data engineering background, with solid coding skills such as Python or C#/.NET, and experience building and integrating APIs and services.
  • Experience deploying and running solutions in the cloud, ideally Azure, with proper CI/CD, testing, monitoring and observability, and a security and data conscious mindset when working with sensitive financial data.
  • Genuinely comfortable with non technical stakeholders, able to run discovery, explain technical ideas simply and influence at senior level, with a focus on outcomes rather than technology for its own sake.

We'd Also Love to See

  • Experience with finance systems or processes such as accounts payable, reconciliation or financial control, or with Microsoft Dynamics 365 Finance and Operations.
  • Experience in retail, ecommerce or fashion, particularly across commercial, buying, merchandising or supply chain.
  • Data skills including SQL, data modelling and platforms such as Databricks or Microsoft Fabric.
  • Experience with responsible AI and governance, emerging agent standards such as Model Context Protocol (MCP), or ITIL based service management.

Company Benefits

  • Birthday Day off
  • 25 Days Holiday
  • Give a day away scheme
  • Tech development day – 1 day a month to focus on your development
  • Onsite Gym
  • Subside Canteen
  • Asos discount
  • Sample sale
Senior Engineering Lead at ASOS
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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