About the Company
Microsoft is a global technology leader committed to empowering every person and every organization on the planet to achieve more. With innovation at our core, we’re building cutting-edge solutions across cloud computing, AI, mixed reality, and more. Join us and be part of a team that’s shaping the future.
Job Description
We are seeking a talented and passionate Machine Learning Engineer to join our innovative team in Derry/Londonderry. In this hybrid role, you will be instrumental in designing, developing, and deploying robust machine learning models and systems that power our next-generation products and services. You’ll work with diverse datasets, cutting-edge technologies, and a collaborative team to solve complex problems and deliver impactful solutions.
Key Responsibilities
- Design, develop, and implement scalable machine learning models and algorithms.
- Perform data preprocessing, feature engineering, and model evaluation to ensure high performance and accuracy.
- Deploy and manage ML models in production environments, ensuring reliability and efficiency.
- Monitor and maintain deployed models, troubleshooting issues and optimizing performance.
- Collaborate with data scientists, software engineers, and product managers to understand requirements and deliver end-to-end solutions.
- Stay up-to-date with the latest advancements in machine learning and artificial intelligence, applying new techniques where appropriate.
- Contribute to the improvement of MLOps practices and infrastructure.
Required Skills
- Proficiency in Python and relevant ML libraries (e.g., scikit-learn, Pandas, NumPy).
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Solid understanding of machine learning principles, algorithms, and statistical modeling.
- Familiarity with cloud platforms (e.g., Azure, AWS, GCP) for ML model deployment and management.
- Experience with version control systems (e.g., Git).
- Strong problem-solving skills and ability to work independently and in a team.
- Excellent communication and collaboration abilities.
Preferred Qualifications
- Master's degree or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field.
- Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).
- Knowledge of distributed systems and big data technologies (e.g., Spark).
- Experience with natural language processing (NLP) or computer vision.
- Contributions to open-source projects or a strong portfolio of personal ML projects.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and holidays.
- Flexible working arrangements and a hybrid work model.
- Employee stock purchase plan.
- Opportunities for professional development and continuous learning.
- Access to Microsoft's cutting-edge technologies and tools.
- On-site amenities including modern office spaces and collaboration zones.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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