Open roleExternal
Senior Machine Learning Engineer
- bristol, south west england, BS1 4DJ, United Kingdom
- Remote
- Full time
- £92,000 - £92,000 Per Annum
Job Description
About the Role
Our client is seeking a highly skilled Senior Machine Learning Engineer to join their innovative and fully remote data science team. This role is critical in developing, deploying, and maintaining cutting-edge machine learning models and AI-driven solutions. You will work on challenging problems, leveraging large datasets and advanced algorithms to create impactful products and services. This position offers an exceptional opportunity to contribute to a forward-thinking company, collaborating with a talented group of engineers and researchers in a flexible, remote setting.
Key Responsibilities
- Design, build, train, and deploy machine learning models for various applications, including prediction, classification, and natural language processing.
- Develop and maintain robust ML pipelines for data preprocessing, feature engineering, model training, and evaluation.
- Collaborate with data scientists and software engineers to integrate ML models into production systems and applications.
- Optimize ML models for performance, scalability, and efficiency in a cloud environment.
- Stay abreast of the latest advancements in machine learning and AI, and propose innovative solutions.
Requirements
- Master's or PhD in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering or applied data science.
- Strong programming skills in Python and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with MLOps practices and tools for model deployment and monitoring.
- Solid understanding of cloud platforms (AWS, Azure, GCP) and big data technologies.
Benefits
- Highly competitive salary and performance-based bonuses.
- Fully remote work arrangement fostering optimal work-life balance.
- Comprehensive health, dental, and vision insurance.
- Generous stock options and long-term incentive plans.
- Significant investment in professional development and cutting-edge research.