3 of 3 Remote Contract Low Latency Jobs

C++ Developer - Low Latency, C++, FPGA, Linux, Market Data Systems, Order Entry Gateway Development, TCP/IP Protocols, Scripting Languages Role Overview: Join a high-performing low latency development team focusing on C++ components. The team specializes in delivering low-latency trading services using advanced technologies. Required Skills and Experience: Extensive C/C++ … development experience Familiarity with financial markets and order entry gateway development Knowledge of market data and Linux systems Scripting experience is a plus Interest in low latency development principles Understanding of TCP/IP protocols is advantageous London/Contract/Hybrid Working By applying to this job you are sending us your CV, which may contain personal More ❯

eFX Low Latency Java Developer - Contract Location: London - Hybrid 3 days per week in the office Duration: 12 months Rate: £480-£550 per day Inside IR35 Hiring for a Senior Java Developer with strong FX and low-latency experience to join an eFX Algo IT team. You will build and optimise microsecond-level pricing, market connectivity … quickly for Front Office - Work across design, development, testing and release - Provide 3rd-line support and ensure production stability Skills and Experience: - Strong Core Java - FX background (essential) - Proven low-latency engineering skills - Hands-on with Agrona, ring buffers, UDP, LMAX Disruptor/Chronicle Queue - FIX protocol knowledge - UNIX experience - Agile delivery experience Please apply for immediate interview More ❯

CD pipelines using GIT to ensure stable, reliable, and frequent model releases. Performance Engineering: Profile and optimise large-scale Spark/Python codebases for production efficiency, focusing on minimising latency and cost. Knowledge Transfer: Act as the technical lead to embed MLOps standards into the core Data Engineering team. Key Skills: Must Have: MLOps: Proven experience designing and implementing … to-Have/Desirable Skills DevOps/CICD (Pipeline experience) GCP (Familiarity with Google Cloud Platform) Data Science (Good understanding of math/model fundamentals for optimisation) Familiarity with low-latency data stores (e.g., CosmosDB ). If you have the capability to bring MLOps maturity to a traditional Engineering team using the MLFlow/Databricks/Spark stack More ❯