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

Nominate & Attend

Python Data Engineer - Systematic Trading - Hedge Fund

Tempest Vane Partners
London
1 month ago
Applications closed

Related Jobs

View all jobs

Python Data Engineer | Outside IR35 | London | £700pd | 6 months

Python Data Engineer | Outside IR35 | London | £700pd | 6 months

Python Data Engineer

Python Data Engineer | Outside IR35 | London | £700pd | 6 months

Senior Python Data Engineer - AI

Senior Python Data Engineer - AI

The Client
My client is a market leading alternative asset manager focused on multi-asset systematic investing.

Check out the role overview below If you are confident you have got the right skills and experience, apply today.

The are looking for a Python focused Data Engineer to join their quantitative platform team.

What You'll Get
An opportunity to work in one of the most exciting and fast growing buy-side businesses in the City.
An opportunity to join a strong team with a very high talent density presenting lots of opportunity for learning and development.
Incredible career progression opportunities with potential access to all areas of the business.
A market leading compensation package including basic salary and annual bonus.
Benefits including a pension, private healthcare, life assurance and 25 days annual leave.

What You'll Do
Build and maintain the data infrastructure that fuels the funds research and trading strategies.
Take responsibility for the end-to-end lifecycle of diverse datasets – including market, fundamental, and alternative sources – ensuring their timely acquisition, rigorous cleaning and validation, efficient storage, and reliable delivery through robust data pipelines.
Work closely with quantitative researchers and technologists to tackle complex challenges in data quality, normalisation, and accessibility, ultimately providing the high-fidelity, readily available data essential for developing and executing sophisticated investment models in a fast-paced environment.

What You'll Need
Strong academic background in a STEM or Computer Science focused discipline.
Strong Python engineering experience.
Experience building ETL pipelines using Python.
Experience of SQL and relational databases.
Experience with AWS or similar Cloud technology.
Experience with S3, Kafka, Airflow, and Iceberg will be beneficial.
Experience in the financial markets with a focus on securities & derivatives trading.
Exceptional communication skills, attention to detail, and adaptability.

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 Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.