We are seeking a talented and motivated Mid-Level Software Engineer, specialising primarily in Machine Learning and secondarily in Artificial Intelligence.
The successful candidate will have a strong foundation in building, deploying, and maintaining machine learning models, along with hands-on experience in MLOps practices and modern Python-based ML frameworks.
You will play a key role in designing scalable ML solutions, improving model performance, and contributing to AI-driven product innovation within a collaborative engineering environment.
Key Responsibilities
- Design, develop, and deploy machine learning models for production environments
- Build and maintain scalable ML pipelines and workflows
- Implement and manage MLOps practices, including CI/CD for ML models
- Collaborate with cross-functional teams (engineering, data, and product) to deliver AI-driven solutions
- Optimise model performance, accuracy, and efficiency
- Work with large datasets for data preprocessing, feature engineering, and model training
- Monitor and maintain deployed models to ensure reliability and performance
- Contribute to code reviews, documentation, and engineering best practices
Required Skills & Competencies
- Hands-on experience with PyTorch
- Experience with Python ML libraries, including:
- scikit-learn
- pandas & NumPy
- TensorFlow (advantageous)
- Strong understanding of MLOps practices and tools, such as:
- Model versioning
- Experiment tracking
- CI/CD pipelines for ML
- Experience with data processing and pipeline orchestration tools
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Understanding of REST APIs and model integration
- Experience with containerisation tools (Docker, Kubernetes)
- Exposure to distributed computing or big data technologies
- Knowledge of model monitoring and observability tools
- Experience working in Agile development environments
Qualifications & Experience
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
- 4–5 years of professional software engineering experience
- Strong experience in Machine Learning as a primary focus
- Working knowledge of Artificial Intelligence concepts and applications
- Proficiency in Python and relevant ML libraries
Soft Skills
- Strong problem-solving and analytical thinking skills
- Ability to work independently as well as collaboratively
- Good communication skills, with the ability to explain technical concepts to non-technical stakeholders
- High attention to detail and a strong commitment to quality
