Dwelly on cord

Dwelly

Backend Software Engineer

External position
Hiring internally for Dwelly?
PropertyTech · Machine Learning and AI
Lettings & property management AI-first platform
Posted
a month ago
Checked
cord regularly checks that external positions are still open
6 hours ago

Skills & Experience

Job roles: Back End, AI Engineer
Experience level: Mid, Senior
Core skills considered: Python, APIs, NLP, Machine Learning
Other skills considered: Deep Learning, Cloud Computing, Scrum, Agile

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

We are looking for a Backend Engineer with strong applied ML experience to build production systems that extract, enrich, summarise and structure information from emails, documents and other unstructured data. This is not a pure data science or research role. It is a production engineering role focused on building reliable Python backend services around NLP, retrieval and LLM-powered workflows. You will work on practical problems such as extracting useful information from email correspondence during agency migrations and summarising a client's full communication history inside their Dwelly profile. The right person is comfortable working with messy real-world data, taking prototypes into production, measuring quality and improving systems through evaluation and feedback loops.


What You'll Do

  • Build systems that extract structured data from emails, documents and other unstructured sources.
  • Enrich migrated client, landlord, tenant and property records with useful information from communication history.
  • Develop solutions that summarise a client's full email history and surface the most relevant context inside Dwelly.
  • Build production NLP / ML-backed backend services that work reliably on messy real-world data.
  • Improve retrieval and ranking systems using approaches such as RAG, BM25, embeddings, hybrid search and reranking.
  • Define quality metrics, evaluation datasets and feedback loops for extraction, summarisation and retrieval systems.
  • Build Python backend services and APIs using frameworks such as FastAPI, Django, Flask or similar.
  • Integrate ML and LLM workflows into production systems with clear error handling, observability and maintainability.
  • Work closely with engineering, product and operations teams to turn real business problems into scalable automation systems.

What We're Looking For

  • Strong Python backend engineering experience.
  • Experience with API frameworks such as FastAPI, Django, Flask or similar.
  • Production experience with NLP, ML, information extraction, retrieval, ranking or summarisation systems.
  • Ability to take research ideas or prototypes into production.
  • Strong understanding of evaluation, metrics and quality measurement for ML / LLM systems.
  • Practical experience with retrieval systems such as RAG, BM25, embeddings, hybrid search or reranking.
  • Comfortable working with messy, ambiguous or incomplete real-world data.
  • Ability to build reliable services around ML workflows, including monitoring, testing and failure handling.
  • Good understanding of LLM limitations, hallucination risks and safe user-facing AI.
  • Strong ownership mindset and ability to work independently in ambiguous product areas.

Nice to Have

  • Experience building AI or LLM agents.
  • Experience with document understanding, email parsing, entity extraction or CRM enrichment.
  • Experience with LLM evaluation, prompt/version management or human-in-the-loop review workflows.
  • Experience with vector databases or search infrastructure.
  • DevOps or CI/CD experience for deploying ML-backed services.
  • Experience testing ML systems on complex production datasets.
  • Experience with typed programming languages such as TypeScript, Java, C#, C++, Kotlin, Scala or similar.

What Success Looks Like

  • Useful information can be extracted from emails and documents with measurable quality.
  • Client communication histories can be summarised safely, clearly and with relevant context.
  • Retrieval and ranking systems improve over time through evaluation and feedback.
  • ML and LLM workflows are reliable, observable and production-ready.
  • Operations and product teams can trust the outputs and understand when human review is needed.
  • Unstructured data from acquired agencies becomes usable inside Dwelly faster and with less manual work.
Backend Software Engineer at Dwelly
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
Alex Yeates on cord
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