london (city of london), south east england, united kingdom Hybrid / WFH Options
Singular Recruitment
data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch More β―
slough, south east england, united kingdom Hybrid / WFH Options
Singular Recruitment
data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch More β―
fundamentals in software engineering: testing, version control, CI/CD, clean architecture Passion for building internal tools, research frameworks, or working on data-heavy systems Bonus: Exposure to pandas, NumPy, asyncio, Cython, or PyArrow. Familiarity with C++ is a plus Bonus++: Experience working with quants, data scientists, or in trading environments Tech Stack: Python 3.11+ (fast, modern, typed) Dask, pandas β¦ PyArrow, NumPy PostgreSQL, Parquet, S3 Airflow, Docker, Kubernetes, GitLab CI Internal frameworks built for scale and speed Why Join: Engineers own projects end-to-endβfrom design to deployment to impact Work side-by-side with quants, traders, and researchers in a flat, fast-moving team Competitive compensation at the top of the market, with research-aligned bonuses No bureaucracy. More β―
Yarnton, Kidlington, Oxfordshire, England, United Kingdom Hybrid / WFH Options
Noir
Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's β¦ Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science, and engineering to push More β―
South East London, London, United Kingdom Hybrid / WFH Options
Certain Advantage
scalable, and maintainable applications using Python and Azure cloud technologies for commodities trading solutions. Leverage strong proficiency in Python, including use of numerical and scientific libraries such as Pandas, NumPy, SciPy etc. Utilize a second strongly typed programming language (e.g., C#, C++, Rust, or Java) as needed. Implement application architecture and DevOps best practices, including Infrastructure as code, Kubernetes, Docker β¦ into technical specifications and software products. Mandatory Skills Extensive experience in Python application development, especially within trading, finance, or quantitative domains. Proficiency with major Python numerical libraries (e.g., pandas, numpy, scipy, stats). Experience with at least one additional strongly typed programming language (C#, C++, Rust, Java, etc.). Strong background in Azure cloud application development, including security, observability, storage More β―
Required Experience - Jira, Python, Docker, ROS2, C++ Minimum 3 years of production-level software engineering in robotics or related fields. Developed robotic manipulators (kinematics, dynamics, motion planning) using Python (NumPy) and C++ (Eigen). Integrated sensors (RGB, depth, LiDAR) for navigation/localisation on platforms like Clearpath using ROS2 . Worked in Agile (Scrum) teams, managing tasks with Jira , contributing β¦ Knowledge of CUDA for C++ real-time optimisation. To Apply: Please email your CV Desired Skills and Experience Python: Advanced proficiency in Python, leveraging scientific and numerical libraries (e.g., NumPy, SciPy) for robotics software development and AI integration. C++: Strong expertise in C++ for performance-critical tasks, including motion control, kinematics, dynamics, and real-time robotic systems, using libraries like More β―
Required Experience - Jira, Python, Docker, ROS2, C++ Minimum 3 years of production-level software engineering in robotics or related fields. Developed robotic manipulators (kinematics, dynamics, motion planning) using Python (NumPy) and C++ (Eigen). Integrated sensors (RGB, depth, LiDAR) for navigation/localisation on platforms like Clearpath using ROS2 . Worked in Agile (Scrum) teams, managing tasks with Jira , contributing β¦ Knowledge of CUDA for C++ real-time optimisation. To Apply: Please email your CV Desired Skills and Experience Python: Advanced proficiency in Python, leveraging scientific and numerical libraries (e.g., NumPy, SciPy) for robotics software development and AI integration. C++: Strong expertise in C++ for performance-critical tasks, including motion control, kinematics, dynamics, and real-time robotic systems, using libraries like More β―
Proficient Python Programming Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices Key practices: Version control with More β―