Senior ML Engineer: HFT, Low-Latency Systems (Remote)

Hadteg.com

London Borough of Islington

Hybrid

GBP 90,000 - 130,000

Full time

2 days ago
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Benefits offered by this job

Impact from day one
Flexible working
Learn from founders
Hybrid/Remote first
Competitive salary bonus

Job summary

Hadteg.com is seeking a technically strong contributor to design, develop and analyse high-performance trading and analytics platforms. You will collaborate with quant teams to turn prototypes into scalable production systems, and optimise for low latency, scalability and reliability.

The role emphasizes hands-on research and practical implementation, with a culture that values experimentation and rapid decision-making.

Qualifications

  • Exposure to machine learning or advanced statistical techniques.
  • Programming skills with Python (NumPy, SciPy) and C++.
  • Strong understanding of probability, optimisation and mathematical modelling.
  • Understanding of high-performance computing concepts such as multithreading.
  • Strong problem-solving mindset with an analytical, systems-focused approach.
  • Background in Mathematics, Statistics or Computer Science or a similar field.

Responsibilities

  • Design, develop and analyse high-performance trading and analytics platforms.
  • Work with quant teams to convert prototype models into scalable production systems.
  • Optimise systems for low latency, scalability and reliability.
  • Contribute to internal research projects exploring new metrics, analytical methods and innovative applications of sport data.

Skills

ML exposure
Python (NumPy/SciPy)
C++
Math/Stats Modeling
Multithreading
Analytical mindset

Education

Math/Stats/CS

Job description

Hadteg.com is seeking a technically strong contributor to design, develop and analyse high-performance trading and analytics platforms. You will collaborate with quant teams to turn prototypes into scalable production systems, and optimise for low latency, scalability and reliability.

The role emphasizes hands-on research and practical implementation, with a culture that values experimentation and rapid decision-making.

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