Machine Learning Engineer
Ziphire.hr
United Kingdom
•2 hours ago
•No application
About
- Join our innovative team at Ziphire.hr as a Machine Learning Engineer! In this role, you will play a crucial part in developing and implementing machine learning models that drive our products and empower our data-driven strategies. You will work collaboratively with data scientists and software developers to transform data into actionable insights that enhance user experiences and optimize performance.
- Key Responsibilities
- Build and refine machine learning models tailored to specific business needs and goals.
- Analyze large, complex datasets to extract meaningful trends and patterns.
- Implement efficient data preprocessing techniques to prepare data for training and evaluation.
- Optimize existing machine learning algorithms for performance improvements.
- Utilize version control for code management and ensure best practices in software development.
- Work closely with cross-functional teams to integrate machine learning solutions into business applications.
- Stay abreast of the latest research and trends in machine learning and AI to continually enhance our capabilities.
- Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 2+ years of experience in machine learning engineering or data science roles.
- Strong proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning frameworks such as TensorFlow or PyTorch.
- Solid understanding of statistical analysis and data modeling techniques.
- Ability to work with both structured and unstructured data.
- Preferred Qualifications
- Experience with cloud computing platforms (AWS, GCP, Azure) for deploying machine learning models.
- Knowledge of big data technologies (e.g., Hadoop, Spark).
- Strong problem-solving skills and the ability to communicate technical information clearly.
- What We Offer
- Competitive salary and benefits package.
- Opportunities for professional development and career advancement.
- A collaborative and innovative work environment.
- The chance to work on cutting-edge projects that drive advancements in artificial intelligence.




