ASOS on cord

ASOS

Senior AI Engineer

External position
London, UK
Hiring internally for ASOS?
Posted
2 weeks ago
Checked
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5 hours ago

Skills & Experience

Job roles: AI Engineer
Experience level: Senior
Core skills considered: Artificial Intelligence, Python, APIs, CI/CD, Azure
Other skills considered: Security and Compliance

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

As a Senior AI Engineer, you will be part of the AI Platform team, helping to build and scale the shared foundations that enable AI capabilities across ASOS. The primary focus of this role will be contributing to the Agentic AI Platform initiative, alongside other core AI platform capabilities as the platform evolves.

This role is focused on the platform layer, rather than individual business use cases. You will design and implement shared standards, templates and reference implementations for agentic AI on Azure, enabling application teams to safely design, deploy and operate AI agents at enterprise scale. Working closely with Product teams, Cloud Infrastructure, Security and partners, you will help ensure AI capabilities are secure, observable, reusable and governed by default. You will also contribute to the production foundations needed to operate AI capabilities reliably, including LLMOps, model access patterns, prompt and agent lifecycle practices, observability and secure enterprise integration.


What you'll be doing

  • Designing and building AI platform capabilities on Azure, with a strong focus on agentic AI patterns such as agent runtimes, orchestration and tool integration
  • Contributing to the Agentic AI Platform initiative, helping define how agents are built, integrated and operated across the organisation
  • Designing and maintaining standardised templates and reference implementations for LLM and Generative AI workflows, enabling teams to adopt consistent patterns for prompt design, tool calling, multi-step agent flows, retries and failure handling
  • Implementing secure, governed access patterns for LLMs and enterprise tools using APIM, platform gateways, Entra ID, RBAC and managed identities
  • Contributing to LLMOps and model runtime patterns, including standard approaches for model access, routing, caching, token optimisation and cost-aware usage controls
  • Supporting lifecycle and evaluation practices for agent configurations, prompts and AI workflows, including testing, controlled change and release readiness
  • Designing secure tool-access patterns for agents, including MCP/tool abstraction, credential management and enterprise API integration.
  • Contributing to AgentOps and GenAIOps capabilities, including telemetry, run history, task outcomes, error analysis and feedback loops
  • Contributing to reliability patterns for production AI systems, including latency monitoring, alerting, scaling considerations and operational readiness.
  • Applying CI/CD and software engineering best practices to AI platform and agentic components
  • Embedding observability by default, ensuring AI systems are measurable, debuggable and auditable through logs, metrics and traces
  • Partnering with Cloud Infrastructure and Security teams to design secure, scalable and cost-effective Azure environments

Qualifications

  • Significant experience as an AI Engineer, AI Platform Engineer or similar, delivering production-grade AI systems
  • Hands-on experience with LLMs, Generative AI and agent-based systems in real-world environments
  • Strong understanding of the end-to-end AI lifecycle, from experimentation through deployment and operation
  • Practical understanding of production LLM or GenAI runtime concerns, such as model access, routing, caching, token usage, cost optimisation and reliability.
  • High proficiency in Python, with experience building APIs and service-oriented systems
  • Experience working with CI/CD pipelines, automated testing and versioned deployments for AI or platform components
  • Practical experience with observability tooling (logging, metrics, tracing and alerting) and using telemetry to improve reliability and performance
  • Comfortable working in cloud environments, preferably Azure
  • Experience with Azure AI Foundry is preferred, but we are equally open to candidates with hands-on experience using comparable GenAI or agent platforms, and a strong understanding of how to apply those patterns within Azure
  • Experience with Azure API Management (APIM) is preferred, especially as a governance or integration boundary
  • Familiarity with AgentOps, MLOps or GenAIOps concepts, including monitoring, evaluation and feedback loops
  • Strong collaboration skills, with the ability to influence platform standards and enable other engineering teams
  • A pragmatic, engineering-led approach to responsible and ethical AI, with a focus on safety, reliability and trust
Senior AI Engineer at ASOS
Position posted 2 weeks 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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