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

Apply Now

Senior Engineer - ArcticDB London

Man Group
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer II

Junior Data Engineer

Data Engineer

Junior Data Engineer

Engineering Manager, Machine Learning Platform

Senior/Data Engineer

ArcticDB is an open-source, client-side time-series database written in Python and C++. In addition to being a technology, ArcticDB is also a business: we provide features and support for ArcticDB users globally.

ArcticDB is used to store time-series data—such as the price history of a security—at scale, enabling the research and development of new trading strategies that are critical to many financial businesses worldwide, including Man Group and Bloomberg.

We are looking for a highly motivated, product-focused Python engineer with strong knowledge of C++. You will contribute to a modern Python and C++ codebase, built by experienced time-series database engineers, while also engaging with stakeholders across the business to help develop ArcticDB into a state-of-the-art database solution.

Your challenges will be varied and may include:

  1. Developing the core ArcticDB database, which currently stores over 500TB of data
  2. Collaborating with users to define and enhance analytics capabilities in ArcticDB
  3. Working with data at scale, including systems streaming over 3 billion ticks per day
  4. Designing and deploying systems to ensure production resiliency for ArcticDB

The Team
Part of Man Technology, the Arctic team is a small group of polyglot developers working with highly optimized C++17 and Python. We operate like a small startup, offering the opportunity to make a significant impact.

Our Technology

Man Group's systems predominantly run on Linux, and most of our code is written in Python, leveraging the full scientific stack: NumPy, SciPy, pandas, scikit-learn, to name just a few of the open-source libraries we use extensively. Systems requiring the highest data throughput are implemented in Java and C++.

ArcticDB is built in C++ for global users, with builds for Windows, Linux, and macOS across different Python and pandas versions. It supports multiple storage backends and cloud environments.

We use Git for source control, Jenkins and GitHub Actions for continuous integration, Grafana and Prometheus for metrics collection, Docker and Kubernetes for containerization and orchestration, and Slack for internal communication. However, our technology stack is never static—we continuously evaluate and adopt new tools and libraries.

Technology Skills
Essential

  1. Excellent Python and C++ skills
  2. Interest in modern database and storage technologies with a willingness to learn more
  3. Strong academic record and a degree with high mathematical or computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university
  4. Proficient on Linux

Advantageous

  1. Experience with modern Python data tools such as Pandas, NumPy and Spark
  2. An interest in financial markets and instruments
  3. Experience using modern cloud storage technologies such as S3, Azure Blob Storage, Google Cloud Storage

Our Culture, Values and Benefits at Man

Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equal opportunities. At Man Group we believe that a diverse workforce is a critical factor in the success of our business and this is embedded in our culture and values. There are a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and that encourage inclusion and diversity across our firm and the industry.

Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme.

We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

Man Group is a global, technology-empowered active investment management firm focused on delivering alpha and portfolio solutions for clients. Headquartered in London, we manage $174.9 billion* and operate across multiple offices globally.

We invest across a diverse range of strategies and asset classes, with a mix of long only and alternative strategies run on a discretionary and quantitative basis, across liquid and private markets. Our investment teams work within Man Group’s single operating platform, enabling them to invest with a high degree of empowerment while benefiting from the collaboration, strength and resources of the entire firm. Our platform is underpinned by advanced technology, supporting our investment teams at every stage of their process, including alpha generation, portfolio management, trade execution and risk management.

Our clients and the millions of retirees and savers they represent are at the heart of everything we do. We form deep and long-lasting relationships and create tailored solutions to help meet their unique needs.

We are committed to creating a diverse and inclusive workplace where difference is celebrated and everyone has an equal opportunity to thrive, as well as giving back and contributing positively to our communities. For more information about Man Group’s global charitable efforts, and our diversity and inclusion initiatives, please visit: https://www.man.com/corporate-responsibility.

Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com.

*As at 30 September 2024. All investment management and advisory services are offered through the investment engines of Man AHL, Man Numeric, Man Discretionary, Man FRM, Man Varagon, Man Global Private Markets and Man Solutions.

#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.

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.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.