Ellison Institute of Technology Oxford on cord

Ellison Institute of Technology Oxford

Data Engineer (Autonomous Systems)

External position
Oxford, UK
Hiring internally for Ellison Institute of Technology Oxford?
Research
Translating scientific discovery into real world impact
Posted
5 days ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: Data Engineer
Experience level: Mid, Senior
Core skills considered: Python, Kafka, Data Pipelines, APIs, Data Architecture
Other skills considered: Data Modeling, Data Migration, Data management, Data Warehousing, 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 (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

At EIT we are seeking an experienced Data Engineer to join our Scientific Compute and Data team. Our Data Engineers in Autonomous Systems work within a wider project, AutoLabs. This is where EIT automates the scientific discovery loop: experimental design, execution, analysis, and the learning that feeds back into the next experiment and the lab itself. The AutoLabs data platform captures, stores and serves high-frequency multimodal data. It spans an edge-to-cloud telemetry stack (MQTT, Kafka, media streams such as HLS), streaming APIs, and a growing set of hardware integrations across multiple sites including robotic systems, sensor rigs and lab instruments.

Our labs produce raw data for a fast-growing set of models: vision-language-action models, orchestration and monitoring models, and world models that learn the dynamics of a laboratory to simulate experiments before they are run.

As a Data Engineer, you'll work directly alongside AI researchers, software engineers, robotics engineers, and domain scientists to build the data layer that makes our autonomous operations possible. You will contribute to an engineering culture that values robust system design, testing, and deep collaboration, but allows flexibility for rapid prototyping and responsiveness to changing landscapes.


Day-to-Day, You Might:

  • Build high-throughput, low-latency ingestion for live video, sensor telemetry, robot joint state and instrument control signals, integrating validation at the edge before data reaches the cloud.
  • Work across the edge-to-cloud stack, from edge devices and MQTT brokers through to Kafka topics, cloud storage, and the APIs that serve scientists and ML pipelines.
  • Turn streams of robot state, instrument output and video into structured database transactions: which arm did what to which sample, when, and what came out.
  • Build the knowledge graph on top of that, linking inputs to results, so that a fact can always be traced back to the video segment and sensor readings behind it.
  • Make the output model-ready: the formats, sampling, labelling and provenance that training and evaluation need, working directly with the researchers who consume it.

What Makes You a Great Fit

Nobody checks every box - if you're not sure if you're qualified, we still encourage you to apply.

  • You have strong programming experience in Python, and value code quality, reliability, and performance while adapting to an evolving industry.
  • You think in systems and own them end-to-end - from device output to APIs - and embrace long-term engineering rather than one-off scripts.
  • Experience with real-time data streaming - Kafka or Pub/Sub (or equivalent), and the challenges that come with high-frequency, low-latency data capture.
  • You treat reproducibility, version control, schema design and lineage as the things that make good science possible.
  • A clear, respectful communicator who can collaborate with scientists, roboticists and researchers.

It would be great if you also have:

  • Automated lab or life sciences environments - instrument APIs, lab protocols, and what scientists expect of data quality.
  • Data pipelines for physical systems: robotics (e.g. MQTT), autonomous vehicles, lab or clinical instruments, industrial control, or similar environments.
  • Knowledge, entity, search or feed systems where correctness under continuous update was the hard part.
  • Stateful stream processing (Flink, Kafka Streams, Beam or similar): event time, watermarks, exactly-once.
  • APIs for data ingestion and consumption with FastAPI, gRPC or GraphQL.
  • Graph stores and entity resolution or curation at scale, where the interesting decisions are about what to keep, merge or drop.
  • Experience working close to model development, such as curating training or evaluation data, or building the data systems that feed models. You don't need to be a machine learning engineer, but you should know what makes a dataset good.

Company Benefits

  • Enhanced holiday pay
  • Pension
  • Life Assurance
  • Income Protection
  • Private Medical Insurance
  • Hospital Cash Plan
  • Therapy Services
  • Perk Box
Data Engineer (Autonomous Systems) at Ellison Institute of Technology Oxford
Position posted 5 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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