Senior Software Engineer (Platform, Orion)

Preqin

London

1 year ago

Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Software Engineer, Data Engineering

Senior Software Engineer & Data Engineer (Java/Python)

Senior Software Engineer, Cloud Native & MLOps

Senior Software Engineer – Machine Learning

Senior Software & Data Engineer (Java/Python)

About the Orion Team

The Orion project transforms the core of Preqin by changing the way we collect data. The team moves fast and independently, while also contributing to setting best practices across teams. We combine automation with Machine Learning and AI and with advanced data and engineering solutions.

Job overview

At Preqin data is at the heart of everything we do, we operate a world class data research team and provide alternative asset data highly prized by thousands of customers worldwide. Preqin engineering is evolving into a fast-paced and autonomous culture, our Software Engineers have an opportunity to significantly accelerate these changes and help shape our organisation for the future.

Working in the platform team, you will be responsible for the technical excellence of our platform services, shaping, collaborating, and creating new and changing existing implementations as necessary to raise the bar technically and improve the way we manage our services. In platform we own some of the business-critical services such as authentication as well as a series of new work streams focused on user management, data management and architectural oversight. You will also work with technical teams across the business supporting them to build, and implementing yourself, a variety of technological solutions.

The platform team is critical to the success of Preqin’s technology strategy providing the foundations for cross-team services and enablement for teams located in other business units. The team has recently adopted this direction and there is tremendous opportunity to impact the way we do technology at Preqin and helping to contribute to Preqin’s mission to unleash the power of data, increasing transparency in alternative assets and empowering the finance community to make better decisions across the global alternatives market.

Department Engineering Employment Type Permanent - Full Time Location London Workplace type Hybrid Reporting To Engineering Manager - Engineering What you’ll be doing:

Accelerate data collection at scale from millions of sources.
Design, build, and deploy workflows at scale that seamlessly combine AI/ML with human expertise.
Elevate development standards and empower others adopt them through re-usable services, frameworks, templates, and knowledge sharing.
Collaborate with engineering teams across the business to improve time to value and to ensure that the best options for internal technical solutions are known.
Explore new technologies, approaches, and ideas that help to drive our business goals in unexpected ways.

What you’ll bring to us:

Strong technical ability across the full stack:
- Backend: Python (FastAPI, pydantic)
- Frontend: REACT JS (webpack module federation, MFEs)
- Databases: postgres, Snowflake
- Cloud: AWS resources such as EC2, secrets manager, ECR, RDS, CloudWatch
Knowledge and experience using infrastructure as code (terraform), CI/CD pipelines and container orchestration software such as Kubernetes with package managers such as HELM.
A “let’s do it” and “challenge accepted” attitude when faced with the less known or challenging tasks. “Because we’ve always done it this way” is not a phrase you like to use.
Ability to perform well in a fast-paced environment, developing iterative sustainable solutions with best practices (security, code quality, documentation) and long-term vision.
Curiosity and willingness to learn about new technologies, ways of working and acquire new skills possessing a growth mindset.
Understanding that generating positive outcomes requires knowledge of the stakeholder and the problem space to allow effective use of your technical knowledge ability.
Passion to improve the capacity of engineering teams to deliver value through collaboration, excellent tooling, and thin configurable services.
Excitement to collaborate with technical and non-technical colleagues across teams.
Qualifications are not as essential as experience. If you feel you have work examples and projects that illustrate what we need, we’re happy to have a conversation.

Why join us?

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

Industry Insights

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

Jan 24, 2026

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

Jan 18, 2026

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jan 13, 2026

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.