Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

AI Automation & Data Engineer New London (Hybrid)

Ophelos Limited
London
5 days ago
Applications closed

Related Jobs

View all jobs

AI & Data Engineer

Business Intelligence & Technology Engineer

Data Engineer

ML Data Engineer

Data Engineer - Informatica & Snowflake

Data Engineer

At Ophelos, we believe in a different way to deal with debt. One that puts empathy and understanding front and centre, approaching our customers as individuals — no matter what they’re going through.

For too long, people in debt have borne the brunt of poor industry practices. Intimidating tactics, time-consuming customer service and a one-size-fits-all approach that overlooks the reasonsanyonecan fall into debt in the first place. Meanwhile, businesses suffer too. Poor customer experience translates to poor customer satisfaction, high churn rates, bad brand reputation and ultimately missed opportunities.

That’s why we’re taking a radically different approach. Pioneering an industry-first AI-native collections platform, we build products that help individuals clear their debts in a way that suits them, whilst providing businesses with an improved customer experience and game-changing insights into their customer base.

Since our launch in 2021, we’ve worked with some of the UK’s leading companies, including Octopus, Scottish Power and Philips — helping millions of people move toward a more stable, debt-free future. In 2023, we were acquired by Intrum, Europe’s biggest credit management service and have begun the next phase in our growth — expansion into 17 European markets over the next two years.

The Role - AI Automation & Data Engineer

We're seeking a proactive, execution-focusedAI Automation & Data Engineer to join our fast-paced team focused on transforming manual processes into intelligent automation solutions. You'll work at the intersection of data engineering and AI automation, building robust pipelines and systems that power our company-wide automation initiatives at scale, for a large enterprise operating across 17 markets.

This isn't a traditional data engineering role - you'll be building the data foundation for cutting-edge AI automations while using AI itself to code faster and smarter. You'll have the freedom to identify automation opportunities across the business and build the data infrastructure to support them.

In this role, you’ll get to:

  • Design and build data pipelines that feed our AI automation systems
  • Create end-to-end automation solutions using Python and Windmill
  • Implement data infrastructure for RAG systems and agentic AI workflows
  • Build and maintain data lakes, warehouses, and real-time processing systems
  • Develop React-based frontends when needed for data visualization and automation tools
  • Leverage AI coding assistants to rapidly prototype and deploy production systems
  • Ensure data quality and reliability across all automation workflows

About you

We believe that no one is the finished article, however, some experience in the following is important for this role:

  • Strong Python skills and experience with data pipelines (pandas, SQLAlchemy, Airflow)
  • Deep understanding of modern AI (RAG, agentic AI, MCP, vector databases)
  • Skilled in designing scalable data architectures and working with structured/unstructured data

How We Work (This is Critical)

We operate with extreme autonomy. There's no one checking if you're at your desk or micromanaging your tasks. We expect you to:

  • Own entire projects from idea to implementation without waiting for permission
  • Identify problems before anyone asks you to solve them
  • Push forward when you hit obstacles instead of waiting for help
  • Take initiative daily - if you need constant direction, this isn't the right fit

Your success here depends on your ability to self-direct and innovate constantly. We'll test for this extensively during interviews.

About Our Team

Ophelos launched in June of 2021, backed by investors such as AlbionVC, Connect Ventures and Fly Ventures. In 2023, we were acquired by Intrum, Europe’s biggest credit management service. Our growing team has team helped build some of the world’s most successful businesses, including the likes of Monzo, Google, Oracle, ASAPP, IBM and more — in addition to pioneering innovative products, sitting at the intersection of enterprise, financial technology, artificial intelligence and academia, working with institutions such as Oxford University, the University of Amsterdam and the University of Hong Kong.

Our Values

Supporting customers and businesses to improve their financial health is a long-term mission. Our company values act as our north star, steering our every move as an organisation and are the backbone of our unique company culture. Our values and culture allow us to stay true to our larger purpose, even as we continue to grow at a rapid pace.

Customers and Clients first– We exist to help real people move through debt and to get clients paid back. This commitment drives how we design products, deliver services, and interact with customers and clients daily.

Dream big– We have ambition and drive to succeed - we’re not just raising the bar, we’re confidently asserting ourselves as the benchmark.

Get it done– We’re decisive and embrace a sense of urgency; we don’t let opportunities get away from us. We’d rather act quickly and take informed risks, iterating and learning as we go.

Win as one- We work as one team, supporting each other and aiming for shared goals. At Ophelos, the team isn’t just individual departments - it’s all of us together. We challenge and support each other because we care about everyone’s growth and success.

Ophelos is committed to creating a diverse work environment and is proud to be an equal opportunity workplace, providing equal employment and advancement opportunities to all team members. We are building an environment where every Ophelos team member can thrive, feel a sense of belonging, and do the best work of their careers. We value diversity and recruit, hire, and promote individuals solely based on talent, qualifications, competence, and merit. We evaluate candidates without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, disability, or other protected characteristics as required by law and as a matter of our company values.

GDPR Notice

When you apply to a job on this site, the personal data contained in your application will be collected by Ophelos (“Controller”), which is located at 1 Finsbury Ave, London EC2M 2PF and can be contacted by emailing . Controller’s data protection officer is Paul Chong, who can be contacted at . Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment.

Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. Because the European Union Commission has determined that United States data privacy laws do not ensure an adequate level of protection for personal data collected from EU data subjects, the transfer will be subject to appropriate additional safeguards under. You can obtain a copy of the standard contractual clauses by contacting us at .

Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.

Create a Job Alert

Interested in building your career at Ophelos? Get future opportunities sent straight to your email.

Apply for this job

*

indicates a required field

First Name *

Last Name *

Email *

Phone

Resume/CV

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Do you require sponsorship now or in the future to work in the UK? * Select...

Are you able to attend our Central London office 2 days per week? * Select...


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.

10 Data Science Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With AI/ML embedded across industries, UK demand for data scientists is rising fast. Lightcast data shows +48 % year‑on‑year growth in UK job ads referencing “data science”, “ML”, “NLP” or “predictive analytics” during Q1 2025. Yet fewer than 16,000 fully credentialled data scientists are active, while monthly live roles hover around 1,700–2,000. Specialist recruiters offer the best access to curated roles, salary insights and prepped interview support. We screened 60+ agencies and included only those with: UK-registered head offices (Companies House verified) A named Data Science / Analytics practice ≥5 UK data science roles advertised between March–June 2025 This guide features the UK’s top 10 data science recruiters, salary benchmarks, in-demand skills, interview prep tips, FAQs and next steps.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.