Machine Learning Engineer

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Geospatial Data Analytics, Maritime, EnergyIndustries

Requirements

Candidates should possess a Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field with coursework in machine learning, statistics, software engineering, and databases. Required skills include Python, ML frameworks like TensorFlow, PyTorch, or scikit-learn, SQL, distributed computing, and version control. A minimum of 1 year of experience in ML engineering or data engineering is necessary, along with eligibility to work in the US or UK. Preferred qualifications include experience with data orchestration tools, MLOps, big data technologies, time-series analysis, data governance, real-time data streaming, Kubernetes, and energy/maritime domain knowledge.

Responsibilities

The Machine Learning Software Engineer will build data pipelines to integrate and fuse large-scale datasets from various sources, ensuring data quality and reliability. Responsibilities include designing and deploying models for pattern recognition, anomaly detection, and time-series forecasting, as well as contributing to model training and optimization. The role also involves developing production ML systems in Python on Google Cloud Platform and building/maintaining APIs for data ingestion and model serving. Additionally, the engineer will take on increasing responsibilities, help shape technical direction, and incorporate new technologies and best practices.

Skills

Machine Learning

Data Engineering

Large-scale data processing

Python

Google Cloud Platform

APIs

Data Pipelines

Data Fusion

Data Quality

Pattern Recognition

Anomaly Detection

Time-series Forecasting

Model Training

Model Validation

Model Optimization

Syntax

Investment analytics and portfolio management tools

About Syntax

Syntax provides financial technology solutions that focus on investment analytics and portfolio management. Their platform allows users to access detailed profiles of companies and Exchange-Traded Funds (ETFs), helping investors understand risks and opportunities. They also create proprietary benchmark indices for accurate performance metrics and employ algorithms for tax-efficient strategies. Syntax aims to enhance decision-making for individual and institutional investors through subscription-based access to their tools and data.

New York City, New YorkHeadquarters

N/AYear Founded

VENTURE_UNKNOWNCompany Stage

Fintech, Financial ServicesIndustries

51-200Employees