Job Detail

Software Engineer: Statistics and Machine Learning; C++

Data Science and AI Remote Full–time
ID: #19534
Posted: 2026-03-25
Salary

Description

Position: Software Engineer: Statistics and Machine Learning (C++) Location: Greater London Hello World, We are hiring! We empower our people to stay resilient and relevant in a constantly evolving world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a phenomenal addition to our vibrant team. Siemens Software, a business unit of the Siemens Digital Industries, is a leading global provider of software solutions to drive the digital transformation of industry, crafting new opportunities for manufacturers to realize innovation. About the role: Work within the development team to extend and expand upon the extensive statistical, time series and machine learning capabilities of our data analytics portfolio. What you’ll bring: • Bachelor’s degree in mathematics, physics, computer science or other numerical technical discipline • A minimum of 4 years of experience writing high quality C++ code for enterprise applications • Understanding higher level mathematical and statistical research papers and then implementing those algorithms or methods in code in a robust and scalable manner • Logical problem‑solving approach and the ability to clearly communicate the situation and proposed solutions to the wider team • Familiarity with statistical, econometric time series, machine learning or other mathematical algorithms and their uses • Master’s or PhD degree in mathematical discipline • A minimum of 6 years of experience in a software engineering or research environment is a plus • Cross‑platform development experience • Experience with other programming languages in the data analytics and numerical space (Matlab/R/Python/SAS language) • Highly self‑motivated to learn • Commercial awareness & attention to detail • Logical problem‑solving skills, ability to demonstrate solutions coherently • Excellent interpersonal and team‑working skills • Good oral and written communication skills in fluent English • Self‑motivation and strong organizational skills Working at Siemens Software Siemens is not the same manufacturing company as the past. We are helping our customers get to tomorrow faster through innovation and digitalization and are transforming alongside them. We are a modern, forward‑looking software company, with the opportunities of a large corporation, where your opportunities are endless. The role you apply for today is only the first step in your Siemens journey. Working at Siemens Software means flexibility – choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software. We are diverse, show respect and believe everyone deserves an opportunity. Flattening hierarchies, celebrating individual contributions, expressing different ways of thinking and embracing flexibility to respect life beyond work. Siemens. Making real what matters If you want to make a difference – make it with us!#J-18808-Ljbffr

Hard Skills 4
Skill Source Confidence
Statistics llm_hard
100%
Time Series Analysis llm_hard
100%
Supervised Learning llm_hard
80%
Unsupervised Learning llm_hard
80%
Soft Skills 10
Skill Source Confidence
Self-Motivation llm_soft
100%
Written Communication llm_soft
100%
Teamwork llm_soft
100%
Collaboration llm_soft
100%
Problem-Solving llm_soft
100%
Logical Thinking llm_soft
100%
Learning Agility llm_soft
100%
Organization Skills llm_soft
100%
Attention to Detail llm_soft
100%
Verbal Communication llm_soft
80%
Apply Options
Publisher Direct Link
Learn4Good No Apply
API Logs for this Job
Query Country Status Response ms Created
Software Engineer: Statistics and Machine Learning; C++ extracted 4940 2026-03-28 10:51
Software Engineer: Statistics and Machine Learning; C++ classified 473 2026-03-28 10:23
machine learning engineer in London, UK gb processed 9358 2026-03-28 10:08
Raw JSON
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