Oxford Economics on cord

Oxford Economics

Software Developer

External position
London, UK
Hiring internally for Oxford Economics?
Market Research · Analytics · Consultancy
World leader in global economic forecasting, quantitative analysis, and thought leadership for business and government
Posted
2 days ago
Checked
cord regularly checks that external positions are still open
6 hours ago

Skills & Experience

Job roles: AI Engineer
Experience level: Junior, Mid
Core skills considered: Artificial Intelligence, C#, Typescript, Azure
Other skills considered: CI/CD, APIs, Cloud Computing

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

AI is changing how research-led businesses like ours work, and we're building the team and the capabilities to stay ahead of it. We're growing our dedicated AI engineering team whose job is to design, build, and ship the next generation of AI-enabled capabilities at Oxford Economics: agents, retrieval pipelines, conversational tools, internal platforms, and client-facing features that people use every day.

This is a hands-on role for an engineer early in their career who writes great software and is genuinely excited about where AI is going. You'll spend your time building alongside the rest of the AI team, turning promising ideas into working software and learning fast as the technology moves. Part of the team's remit is partnering closely with our Content, Data, and Models teams, and over time you'll grow into embedding with them directly to understand their work and find where AI can make a real difference.

You'll work with engineers, economists, product owners, and stakeholders across the business, and we'll back you to develop quickly into a trusted expert in building with AI.


Key Responsibilities

You'll spend most of your time building within the AI team, with the balance of your work shifting as you grow. Day to day you will:

Build

  • Design, build, and ship production software that brings AI capabilities to OE: agents, RAG pipelines, conversational interfaces, internal tools, and other client-facing features.
  • Take ideas from prototype to production, contributing across the software lifecycle: discovery, design, coding, testing, CI/CD, observability, cost monitoring, and safe rollout.
  • Help build and operate the services, agents, MCPs, shared libraries, Claude skills, and evaluation harnesses that make up OE's AI platform.
  • Apply solid engineering fundamentals: clean code, testing, modularity, performance, security. Because quality and reliability matter as much in AI systems as anywhere else.

Collaborate & partner

  • Work with product owners and the rest of the team to turn business needs into tangible, well-scoped deliverables, adapting as those needs evolve.
  • Partner with our Content, Data and Models teams to understand what they need, growing into embedding alongside them directly as you build context and credibility.
  • Build with safety and responsible use in mind. Sensible data handling, prompt-injection defences, and alignment with ISO 27001 controls and OE's AI Acceptable Use Policy.

Learn & share

  • Experiment with new models, frameworks, and techniques, and help the team form an evidence-based view of what's hype and what's worth betting on.
  • Share what you learn: patterns, write-ups, brown-bag sessions; helping colleagues across OE raise their own AI fluency as you grow into it.

Skills, Knowledge & Expertise

We care more about trajectory than a tick-box list. For the AI-specific parts especially, real curiosity and hands-on tinkering count for as much as years of experience. If you've explored these things, have views on them and want to go deeper, that's what we're looking for.

Core engineering

  • Around 2+ years of professional experience shipping production software in a modern cloud environment.
  • Solid engineering fundamentals: testing, version control, code review, modular design, and a developing sense of when to be pragmatic versus principled.
  • Proficiency in C# and experience with TypeScript, comfortable working from APIs through to lightweight user interfaces.
  • Some hands-on experience with cloud services (e.g. Azure) and modern delivery practices such as CI/CD.

Building with AI

  • You've built things with LLMs, even side projects or prototypes, and understand concepts like prompting, tool calling, embeddings, and RAG.
  • You've integrated a model API (e.g. OpenAI) and have at least a working feel for cost, latency, context windows, and rate limits.
  • An awareness of how building and evaluating LLM systems differs from traditional software, and an interest in getting good at it.
  • Familiarity with, or genuine curiosity about, vector databases, embeddings, and retrieval techniques such as semantic and hybrid search.

How you work

  • Genuine curiosity and a tinker's instinct. You build with AI because you find it interesting, not just because it's the job.
  • A bias for shipping: you'd rather get something working in front of people than polish it indefinitely.
  • Valuing good engineering practices: fast feedback, testing, and simple design; and wanting to get better at them. You might already follow the people who champion XP-style ways of working; if you don't have deep experience with them yet, the enthusiasm to learn matters more.
  • You pick things up fast across unfamiliar domains and can build enough understanding of someone else's problem to be useful.
  • You communicate clearly and can explain trade-offs to engineers and non-engineers alike.

Bonus points

  • Experience using agentic coding tools (e.g. Claude Code, GitHub Copilot, Codex) to ship real software.
  • Hands-on time with MCP, agent frameworks (e.g. Microsoft Agent Framework, LangChain) or your own orchestration.
  • Experience with content, publishing, or knowledge-management workflows (CMS integrations, editorial tooling, document processing).
  • Exposure to modern data platforms (e.g. Snowflake, ClickHouse, Databricks, BigQuery) or working with data engineering teams.
  • A background or coursework in machine learning, NLP, or data science.
  • Open-source contributions, side projects, or writing that show you build for the love of it.
  • An interest in economics, forecasting, financial services, or research-led businesses.
  • A degree in Computer Science, Mathematics, Statistics, or equivalent practical experience.

What success looks like

We don't expect you to arrive doing all of this. Here's the trajectory we'd hope to see:

In your first 3 months

  • You're set up and contributing. Your first pieces of AI-enabled software have shipped and are in proper use, with support from the team.
  • You understand how OE's AI platform fits together and where your work sits within it.

By 6 months

  • You're shipping regularly and driving features forward. Taking the lead in pairing and mobbing sessions, increasingly steering ideas rather than waiting for direction.
  • You're a dependable contributor to the team's core work and are starting to support other teams with AI.

By 12 months

  • You're putting AI to work in product discovery, building rapid prototypes that test ideas quickly and spark new ones.
  • Working software you've built is landing regularly and being used across OE and by our clients, with a short, safe path from prototype to production.
  • You've embedded with a team to understand their work and
Software Developer at Oxford Economics
Position posted 2 days 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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