Job Description
This 12-month remote contract role places you on an international machine learning project through Dijkstrack for one of our global technology partners. You’ll work within a distributed engineering team to design, train, and deploy ML models using modern frameworks like PyTorch. Dijkstrack engineers enjoy access to technical community support, structured delivery processes, and the opportunity to embed within long-term global product teams.
Key Duties & Responsibilities
Design, train, and deploy machine learning and deep learning models using PyTorch
Build and maintain ML pipelines, model training workflows, and data processing components
Work with product and engineering teams to integrate models into production systems
Analyse datasets, performance metrics, and optimise models for accuracy and efficiency
Implement MLOps best practices for model versioning, deployment, and monitoring
Document models, datasets, evaluations, and maintain reproducibility standards
Participate in code reviews and uphold engineering quality in ML codebases
Essential Skills & Technical Requirements
Strong proficiency in Python for ML development
Hands-on experience with PyTorch (TensorFlow experience also welcome)
Solid understanding of machine learning fundamentals, model architectures, training loops
Ability to work with large datasets, ETL pipelines, and model optimisation
Familiarity with Git workflows, remote collaboration, and agile delivery models
Beneficial / Nice-to-Have Experience
Experience with ML Ops tools like MLflow, Weights & Biases, SageMaker, or similar
Exposure to cloud-based ML deployments (AWS, Azure, GCP)
Knowledge of microservice integration for ML models
Prior work in AI product teams or international ML research environments
Benefits of Working with Dijkstrack
Join a network of engineers delivering advanced ML solutions internationally
Technical community of senior engineers across data, backend, and product domains
Remote-first culture, global exposure, and structured technical delivery support
