Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

C++ Market Data Developer (Contract)

BMLL Technologies
London
10 months ago
Applications closed

Related Jobs

View all jobs

Principle Data Engineer

Lead R Data Scientist - Sustainability

Data Analyst (SQL, Risk/ Controls, Data Quality)

Data Scientist

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Resilience Data Analyst

About BMLL:

We are a historical data and analytics company, solving some of the most complex and challenging problems in big data and financial markets. We have built an award-winning data analytics platform for processing vast quantities of granular limit order book data and are in the process of productising this platform.

We have a fantastic team and our culture is inclusive and highly collaborative, a place where our employees are encouraged to be themselves.

We offer a combination of remote and office (London-based) working, weekly team lunches and plenty of office snacks!

About the Role:

At BMLL we process historical market data in a process we call parsing. This process is equivalent to the feed handlers used in real-time market data processing. We curate the data to ensure the highest quality of delivery to our customers. Every day we consume 250GB of new data across 750,000 securities to deliver into our platform, our dashboard products and data services. These are accessed by our customers who are dependent on our services for their own workflows.

The role we are hiring for is to take care of a number of exchange protocol changes that affect the parsers/feed handlers that we run in production, to support the team with bug fixes to existing parsers, and continue a process of migrating those parsers/feed handlers from Python to C++. When we do this, we maintain the integrity of the data by rigorously comparing the Python output with the C++ output with both unit tests and by running tools to compare entire days of output. The Python parser and the data will be provided. We have already converted a number of parsers, and there is a pattern to follow.

Responsibilities

  • Handling exchange protocol upgrades
  • Fixing bugs in existing C++ parsers as they arise
  • Migration of Python data parsers into C++ to improve performance, precisely maintaining existing functionality
  • Development of Google Test unit tests for the new C++ code, in existing framework
  • Comparison of the C++ / Python output using existing tools

Requirements

ESSENTIAL:

  • Experience of working with market data protocols such as ITCH, EOBI, iMpact, Optiq, GTP (Group Ticker Plant).
  • Industry experience of writing production-level C++ and delivering functioning, well-tested systems.
  • Industry experience of developing in Python
  • Industry experience of developing on a Linux platform with git
  • Experience of industry-standard development methodologies such as source code control, unit testing and continuous integration
  • Strong problem solving skills
  • Strong communication skills
  • Computer science or other STEM degree

Benefits

  • Combination of remote and London based office working
  • Collaborative culture
  • Weekly team lunches
  • Free fruit, snacks and drinks provided throughout the day (when office based)
  • Fridge fully stocked with beer and wine (when office based)
  • Regular Team Socials

We are an inclusive employer and welcome applicants from all backgrounds. We pride ourselves on our commitment to Equality and Diversity and are committed to removing barriers throughout our hiring process - if you have any special requirements or require reasonable adjustments to help you access career opportunities at BMLL, please do let us know

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.