Machine Learning Engineer
Posted 4 days ago by KBC Technologies Group
Negotiable
Undetermined
Onsite
London Area, United Kingdom
Summary: We are seeking a highly skilled Senior Machine Learning Engineer who combines strong software engineering skills with data science expertise to build robust, scalable ML applications. This role is essential for bridging the gap between ML research and production-ready systems, focusing on the entire machine learning lifecycle. The engineer will design, develop, deploy, and maintain AI-powered products and features, requiring analytical rigor and exceptional software design skills. If you excel at transforming ML models into impactful solutions, we encourage you to apply.
Key Responsibilities:
- Design, develop, deploy, and maintain core AI-powered products and features.
- Bridge the gap between ML research and production-ready systems.
- Engage in the entire machine learning lifecycle, from data exploration to model development and deployment.
- Monitor and continuously improve machine learning models.
- Utilize analytical rigor and coding prowess in the development process.
Key Skills:
- Strong software engineering skills.
- Expertise in machine learning and data science.
- Experience in building scalable ML applications.
- Deep understanding of the machine learning lifecycle.
- Exceptional software design skills.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: on-site
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
Work from Office Mode: 5 Days Work from Office
JOB Description: We are seeking a highly skilled and versatile Senior Machine Learning Engineer who embodies the rare combination of a strong software engineer, a pragmatic data scientist, and an expert in building robust, scalable ML applications. This role is critical to our mission, bridging the gap between cutting-edge ML research and robust, production-ready systems. You will be instrumental in designing, developing, deploying, and maintaining our core AI-powered products and features. This demands a blend of analytical rigor, coding prowess, architectural foresight, and a deep understanding of the entire machine learning lifecycle, from data exploration and model development to deployment, monitoring, and continuous improvement. If you thrive on taking ML models from concept to customer impact and possess exceptional software design skills, we encourage you to apply.