Lead 6-7 engineers on core ML infrastructure for a systematic quant fund: distributed model training, LLM hosting/fine-tuning, and scalable deployment. Use Python with working knowledge of C++/Java. Own technical direction for real-world, high-stakes systems.

Manage a team of test and DevOps engineers building CI/CD, Yocto-based embedded Linux, test automation, and cloud infrastructure (Python, C/C++, AWS/GCP/Azure) for non-invasive neuromonitoring medical devices.

Lead a team of test and DevOps engineers owning CI/CD, Yocto-based embedded Linux, and test automation infrastructure. The role uses Python, C/C++, infrastructure-as-code (Terraform, CDK), and cloud platforms (AWS/GCP/Azure) for a non-invasive neuromonitoring medical device company.

Lead a team of 7 engineers building and evolving an existing Rust-native systematic options trading platform for automated quoting, execution, pricing, and risk controls. You’ll work with Rust, C++, C, PostgreSQL, gRPC, and Node.js-based services. The team is part of Keyrock, a digital asset market maker and liquidity provider.

Lead an engineering team using Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL on Windows/UNIX. Manage offshore resources while writing advanced code, performing code reviews, and developing architecture for LexisNexis Risk Solutions' data and analytics products that help customers evaluate and predict risk.

You'll build and lead a team of 10+ engineers developing a compiler stack for Fractile's novel AI accelerator hardware, using technologies like MLIR or TVM to enable industry-leading LLM inference performance. The company is designing a full-stack AI accelerator from the ground up; the compiler team works closely with hardware, driver, runtime, and ML engineers across the stack.

Accenture★3.9 (29k)· London

Design, build, and operationalize AI/ML solutions using Python, TensorFlow, PyTorch, Deep Learning, Generative AI, LLMs, and MLOps/LLMOps pipelines. The role delivers production-ready outcomes for enterprise clients across the full solution lifecycle, from assessing data to deploying scalable systems on cloud, HPC, and edge devices.

LexisNexis Risk Solutions★3.8 (231)· London

Lead a software engineering team using JAVA/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, and Windows/UNIX environments. The role supports LexisNexis Risk Solutions, which builds data and analytics tools to help clients evaluate risk and improve operational efficiency. Manage offshore resources and oversee development, code reviews, and technical strategy.

Manages a globally distributed SRE team supporting Cboe's real-time low-latency trading platforms for US Global Trading Hours and European operations. Works with bare-metal on-premises infrastructure, cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), SQL, UNIX shell, and agile (Kanban, Scrum). Oversees SRE staff across European and APAC time zones.

Figma's Developer Tools team is building solutions for frontend and full-stack developers, including Dev Mode, MCP, Code Connect, and emerging AI-powered features. You'll manage a team of product engineers across this initiative—a major focus spearheaded from London—defining strategy and roadmap while providing hands-on technical leadership. The role emphasizes AI product experience, building high-performing teams, and balancing innovation with execution.

RELX Group★3.8 (133)· London

LexisNexis Risk Solutions seeks a Manager Software Engineering to lead large offshore teams while writing advanced code in Java, J2EE, JavaScript, JSP, C/C++, HTML, XML, and SQL across Windows and UNIX environments. The role involves managing hiring and performance, recommending technical strategy, and working directly with customers on products that combine data and analytics to help organizations evaluate risk and improve operational efficiency. You'll oversee team planning, assignments, code reviews, and architecture development.

JPMorgan★3.9 (20k)· London

As Director of Software Engineering at JPMorganChase's Equities Trading Technologies, you'll oversee ultra-low-latency C++ trading systems for equity derivatives market making, setting the technology roadmap and making strategic technical decisions across regions. You'll lead the EMEA engineering team, guide engineers at all levels, and work with global counterparts in New York, Singapore, and Hong Kong to deliver cross-regional platform capabilities while engaging trading desks and quantitative researchers to translate requirements into scalable solutions.