Oxford Dynamics on cord

Oxford Dynamics

Senior Applied AI Engineer

External position
Harwell, Didcot, UK
Hiring internally for Oxford Dynamics?
Robotics · Machine Learning and AI
Enabling machines to think like humans.
Posted
a week ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: AI Engineer
Experience level: Senior
Core skills considered: Artificial Intelligence, Python, Docker, Git, AWS
Other skills considered: Kubernetes, Machine Learning, Cloud Computing, Data Pipelines

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: Freelance/Contract
Remote working: Hybrid (up to 3 remote days p/w)
Visa sponsorship: Not available

Job Description

As a Senior Applied AI Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production: designing the multi-agent pipelines, the reasoning and retrieval, the model integration, and the infrastructure that carries them into production. These are systems people rely on to make consequential decisions, so what you build has to earn its confidence honestly and hold up under scrutiny.

This is a builder's role, not an integrator's, and it is unambiguously senior. We need an engineer who designs and implements systems rather than wiring together off-the-shelf parts, who takes technical ownership of the workstream and sets the direction other engineers build to. You will make systems-level design decisions, write production-grade code, and own the hard engineering that makes agentic AI reliable in demanding production environments, including secure, on-premises and offline deployments, from architecture through to deployment.

That ownership is real. You will own features end-to-end and be accountable for how they behave under pressure, not just whether they work on your machine. Reliability, latency and failure behaviour are your concern rather than an afterthought, because in the environments we deploy into, reliability and trust matter more than speed to market.

Frontier here means dependable, not experimental. You need the engineering depth to build systems that keep working under real-world conditions, whether that is heavy load, degraded connectivity or a fully offline environment, and the judgement to know the difference between a demo and a system someone can stake a decision on.


Key Responsibilities

  • Build the systems themselves. You design and build multi-agent AI systems from the ground up, using frameworks such as LangGraph or Haystack where they help, and building the orchestration, state and tool-calling infrastructure underneath them when they do not.
  • Engineer for production. You write clean, tested, maintainable code and make sound systems-level decisions, treating reliability, latency and failure behaviour as first-class concerns.
  • Put models to work. You integrate large language and vision-language models into real reasoning, search, summarisation and task-execution pipelines, and build the retrieval, memory and guardrails that make them dependable.
  • Deploy where it is hard. You take systems into cloud, on-premises and, where required, fully offline environments, and engineer for the security and reliability constraints that come with each.
  • Own the full pipeline. You build production pipelines from data ingestion through to inference, owning the whole path rather than a slice of it.
  • Make confidence earned, not asserted. You build the evaluation, observability and guardrails that show how a system actually behaves, its agent behaviour, model performance and failure modes.
  • Set the technical bar. You act as a technical authority for agentic AI, taking technical ownership of the workstream, setting the design patterns and direction other engineers build to, and leaving behind systems and documentation the team can maintain after your engagement ends.

Requirements

  • Significant professional software engineering experience (typically 6+ years), including several years building LLM-based or agentic systems, with a demonstrable track record as a senior or lead engineer.
  • Strong software engineering fundamentals: you write clean, tested, production-grade code and make sound systems-level design decisions, not just working prototypes.
  • Commercial experience building multi-agent or agentic AI systems in production, owning them as an engineer rather than integrating them as a user.
  • Strong Python, with hands-on experience building on LLM frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to.
  • Experience designing and deploying AI/ML systems into real production environments, not just notebooks or demos.
  • A solid grasp of the engineering around models: inference, latency and performance, data pipelines, state and memory, and tool or function calling.
  • Hands-on experience building search and retrieval over very large multi-modal datasets (3TB+ of text, imagery, telemetry and sensor data): indexing, embedding and querying at that scale, and feeding the results into LLM or agentic pipelines with the latency and precision they need to be useful.
  • Fluency with Docker, Git and cloud platforms (AWS preferred).
  • Understanding of secure deployment patterns: air-gapped, on-premises or sovereign cloud.
  • A builder's mindset: you ship real, dependable systems and can explain them clearly to technical and non-technical people alike.
  • Senior technical ownership: you own your delivery end-to-end, take technical ownership of the workstream, and set the direction other engineers build to. You are disciplined about documentation and knowledge transfer so what you build outlives your engagement.
Senior Applied AI Engineer at Oxford Dynamics
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
Alex Yeates on cord
Message Alex Yeates at Starling Bank
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