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# Senior Machine Learning Engineer (Python / C++)

- **Company:** Longshot Systems
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Automation of Tests, Microsoft Azure, C++ (Programming Language), Profiling, Continuous Integration, Information Engineering, Linux, DevOps, Monitoring of Systems, Python (Programming Language), Machine Learning, NumPy, Performance Tuning, Tensorflow, Scientific Computating, Software Engineering, Multithreading, High Performance Computing, Pytorch, Pandas, Containerization, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, C++14, Docker, Programming Languages
- **Published:** October 1, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-machine-learning-engineer-python-c/49522901

## About the Role

learn more about your background + discuss the role Technical interview - Python & C++ software engineering assessment Full assessment day (10:00-5pm) - a one day programming exercise designed to be similar to the real work we do in the team A degree in a quantitative, technical subject (e.g. Machine Learning, Maths, Physics, Computer Science etc) from a top university Strong software engineering background in Python alongside solid expertise in modern C++ (C++23) Experience building, optimizing, and integrating low-latency performance-critical components in a hybrid Python/C++ environment Strong experience designing and maintaining ML pipelines and data engineering workflows Familiarity with modern engineering practices such as CI/CD, containerisation (e.g. Docker, Kubernetes) and automated testing Experience with cloud platforms (e.g. AWS, GCP or Azure) Comfortable working in a Linux environment Nice to have: Advanced data engineering experience in Python,
e.g. with libraries like Dagster, Prefect etc Experience optimising dataframe code, e.g. in Pandas or ideally Polars Experience of machine learning techniques and related libraries and frameworks e.g. scikit-learn, Pytorch, Tensorflow etc Experience deploying and serving ML models in production, including model monitoring and real-time inference Experience in scientific computing with other languages & frameworks Strong general high performance computing (multi-threading, networking, profiling and optimisation) Familiarity with Python data science tools and frameworks (e.g. NumPy, PyTorch, Polars) Participation in the company bonus scheme. 10% matched pension contributions Private healthcare insurance Long term illness insurance Gym membership #J-18808-Ljbffr

## Description

The ideal candidate will have a strong software engineering background with a track record of building and maintaining production-grade ML pipelines. We are looking for engineers who are comfortable designing robust data engineering workflows, building reliable tooling, and writing clean, maintainable Python code alongside high-performance C++ components. You should be proficient in modern Python ML libraries while bringing solid C++ expertise to optimize our performance-critical architecture. Knowledge of common ML algorithms is a plus, but your primary strength should be in software design, performance optimization, and productionisation. We are a hybrid working company, working Thursdays in our London (Farringdon) office and flexible the rest of the week. Our typical working hours are 10 am to 6 pm UK time, Monday to Friday, but we support flexible working and trust our team to manage their own schedules to meet their goals. Our interview process is as follows: Intro call (30 mins)