Machine Learning Engineer

Machine Learning Engineer – Job Description
Mintus is a pioneering fintech company based in London, dedicated to revolutionizing the alternative investment landscape by creating state‑of‑the‑art AI platforms that enable financial institutions to expand asset classes, improve efficiency, and enhance investment performance.
We are looking for a highly capable machine learning engineer to optimize and enhance our machine learning systems. You will be responsible for evaluating existing processes, performing statistical analysis, and enhancing the accuracy of our ML modelsديات ensuring they remain relevant and up‑to‑date.
The ideal candidate will possess a broad understanding of data analysis and data engineering, enabling them to perform rigorous statistical analysis to resolve dataset problems and manage complex data modeling, and translate their expertise into enhanced predictive automation software that transforms decision‑making for global financial institutions.
Responsibilities

Consult with managers to determine and refine machine learning objectives.
Design machine learning systems and self‑running AI software to automate predictive models.
Utilize semantic modeling to improve the management of complex financial data sets.
Collaborate with data analysts and engineers for data solutions for modeling purposes.
Transform data science prototypes and apply appropriate ML algorithms and tools.
Ensure that algorithms generate accurate user recommendations.
affiliate familiarity with big data technologies and select appropriate datasets and data representation methods.
Solve complex problems with multi‑layered data sets, as well as optimize existing ML libraries and frameworks.
Develop ML algorithms on large volumes of historical data for predictions.
Run tests, perform statistical analysis, and interpret test results.
Document machine learning processes.
Monitor models in production utilizing appropriate metrics and reporting.

Requirements & Skills

Degree in computer science, data science, mathematics, or a related field.
Master’s degree in data analytics, or similar will be advantageous.
At least two years’ experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code writing.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In‑depth knowledge of mathematics, statistics, and algorithms.
Strong analytical and problem‑solving abilities and high attention to detail.
Great communication and collaboration skills.
Excellent time management and organizational abilities.

Seniority level: Entry level.
Employment type: Full‑time.
Job function: Engineering and information technology.
Industry: Investment management.
#J-18808-Ljbffr