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

Apply Now

Algo Capital Group | Senior Data Engineer

Algo Capital Group
London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Researcher - Handwriting

Senior Data Engineer - Risk Technology

London, UK


About our client:


A premier $60bn quantitative hedge fund at the forefront of machine learning and financial technology innovation is expanding their risk division. They are seeking exceptional engineers to work with their proprietary trading systems and contribute to their market-leading position in global markets.


Role Overview:


Join an elite team developing real-time applications for a sophisticated trading desk in London. You'll leverage state-of-the-art technology to implement advanced trading strategies through high-precision software solutions, processing market data to facilitate quick decision-making in one of finance's most dynamic environments.


Key Responsibilities:

  • Design and develop applications and data pipelines for real-time processing
  • Partner with the risk team to enhance existing infrastructure while maintaining engineering best practices
  • Transform risk systems through innovative real-time solutions aligned with trading objectives
  • Foster collaboration across trading, quant, and technology teams while building key stakeholder relationships
  • Drive system reliability through comprehensive monitoring, logging, and scalability initiatives


Technical Requirements:

  • Strong Python programming skills with deep SQL expertise
  • Advanced knowledge of distributed messaging systems (Kafka, Kinesis)
  • Experience with building sophisticated ETL pipelines and data lake architectures
  • Proficiency with cloud-native technologies and containerization (Kubernetes, Docker, Helm)
  • Experience with real-time stream processing frameworks and event-driven architectures
  • Background in workflow orchestration platforms and scheduling systems
  • Demonstrated technical leadership and collaborative approach


This role is an exciting opportunity to join an industry leader offering exceptional compensation, accelerated career growth, and the chance to innovate alongside the brightest minds in quantitative trading.


Apply directly or email:


Follow Algo Capital on LinkedIn for latest opportunities: linkedin.com/company/algocapitalgroup

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.