Machine learning and data
Python, PyTorch, classical statistics, experiment design, data versioning, model deployment and monitoring. Care about evaluation protocol counts for more than familiarity with the newest architecture.
Careers
We do not publish a list of openings. We are always willing to hear from engineers and researchers whose skills match the work described here.
Skills
Few people cover all of these, and nobody is expected to. Depth in one area and curiosity about a second is a good profile for our work.
Python, PyTorch, classical statistics, experiment design, data versioning, model deployment and monitoring. Care about evaluation protocol counts for more than familiarity with the newest architecture.
Application and network testing, threat modelling, secure development pipelines, cloud hardening, embedded and industrial protocols, and clear report writing.
C++ and Python, ROS 2, state estimation, planning and control, simulation, Linux on embedded computers, and fieldbus interfaces.
Linear algebra, quantum circuits, Qiskit or PennyLane, numerical optimisation, and applied cryptography including the post-quantum standards.
Analogue front-end design, LED and photodiode circuits, FPGA or software-defined baseband, digital communications theory and network engineering.
The ability to explain a result to a non-specialist, write a specification that can be tested, and keep a project's documents current.
How we work
Projects are small enough that each engineer sees the whole system. You would write code, run experiments, review a colleague's design and explain results to a client, often in the same week. Every project keeps a written record of decisions, and code is reviewed before it is merged.
We value people who state uncertainty clearly, who check a surprising result before announcing it, and who prefer a simple method that works to a sophisticated one that impresses.
Apply
Email your CV to info@liformatics.com with the subject line "Career enquiry". In the message, tell us:
We read every message. We contact applicants when their skills fit current or upcoming work. Personal data in your application is handled as described in our privacy policy.
These pages show the kind of work you would be doing.
Mission, approach, values, research focus and team.
About usThe five practices and what each one delivers.
View servicesHow our engineers write about technical questions.
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