National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Software Engineer (Platform, Orion)

Preqin
London
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer

Senior Software Engineer C# - Near Edinburgh Hybrid

Senior Software Engineer – API & ML Infrastructure

Senior Software/Data Engineering Lead

Senior C++ Software Engineer

Senior Data Engineer

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?

National AI Awards 2025

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.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.