Artificial Societies on cord

Artificial Societies

ML Engineer

External position
London, UK
Hiring internally for Artificial Societies?
Machine Learning and AI · Market Research
AI simulations of societies for testing how ideas spread.
Posted
a month ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: AI Engineer
Experience level: Mid, Senior
Core skills considered: Artificial Intelligence, Machine Learning, Python
Other skills considered: Data Pipelines, Deep Learning

Logistics

Base salary: £100K - £180K
Employment type: Permanent
Remote working: On-site
Visa sponsorship: Not available

Job Description

Take frontier social simulation research from prototype to production - post-training and distilling the models, and owning the systems that run them at scale.

You ll take new simulation methods from prototype to production: post-training and distilling models that power them, making them fast and efficient to serve at scale, building the data pipelines that feed them, and shipping the whole system. You ll work directly with our CEO and Head of Research, and partner closely with our research, product, and forward-deployed engineers.

This is engineering that runs on ML judgement. A new method can arrive with six ideas in it; you ll know which one performs best, and you ll build the most simple and reliable version of it. You ll be in charge of deploying the world s most advanced social simulation research into production, where it will shape decisions that shape the world.


What You ll Do

  • Take research to production. Own the path from a working prototype to a deployed capability our clients depend on.
  • Post-train and distil models. Fine-tuning, RL, and distillation to make our simulations nuanced and accurate.
  • Own inference at scale. Serve simulations of thousands of individuals efficiently and reliably.
  • Build the data engineering. Design the pipelines that turn messy real-world data into simulated populations at scale.
  • Simplify aggressively. Reason about which parts of a complex method actually deliver the performance, and delete everything else.

What We re Looking For

  • At least 2+ years shipping ML in a startup environment, ideally as an AI or ML engineer at an early-stage company where you owned things end-to-end. You ve put models in front of real users, not just in a notebook.
  • Deep learning, not classical ML. Hands-on with pre-training or post-training language models - RL, fine-tuning, distillation, dataset and reward design.
  • Strong Python engineering experience. You can write clean and well-structured Python code that other people can maintain.
  • Comfortable with hard concepts. You reason fluently about statistics, probability, and have intuitions around high-dimensional spaces.
  • Fast, with a high bar. You can ship quickly, and you go deep to understand the problem and the solution.
  • Deeply interested in what we re doing. Simulating how people form opinions is a social science problem as much as an ML one, and the best people here find that fascinating rather than incidental.
  • Ownership mentality. You don t wait for a ticket. You see what needs to happen, and you make it happen end-to-end.

Nice to Have

  • You ve distilled a frontier model into a small open-weights one and shipped it to production to cut cost or latency.
  • Experience with distributed training, inference optimisation, or scaling ML systems.
  • Background in behavioural science, computational social science, psychometrics, statistics, or a related empirical field.
  • Publications or open-source work in LLM simulation, evaluation, calibration, or human-behaviour modelling.
  • Familiarity with TypeScript (our product stack) to collaborate smoothly with product engineers.
ML Engineer at Artificial Societies
Position posted a month 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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