Machine Learning Engineer

Machine Learning Engineer

We are working with a range of innovative technology companies looking to hire Machine Learning Engineers to build and deploy scalable AI solutions.

These opportunities span across startups, scale-ups, and established organisations, offering the chance to work on cutting-edge machine learning projects across various industries.

The Role:

• Design, build, and deploy machine learning models into production environments
• Work with large datasets to develop predictive and data-driven solutions
• Collaborate with cross-functional teams including data engineers and software engineers
• Optimise model performance, scalability, and reliability
• Contribute to MLOps practices including model deployment, monitoring, and maintenance

Requirements:

• Strong programming skills in Python
• Experience with machine learning frameworks such as TensorFlow or PyTorch
• Proven experience deploying ML models into production
• Experience working with large datasets and data pipelines
• Familiarity with cloud platforms such as AWS, GCP, or Azure

Nice to have:

• Experience with MLOps tools and workflows
• Knowledge of deep learning, NLP, or computer vision
• Experience with containerisation (Docker, Kubernetes)
• Understanding of software engineering best practices

What’s on offer:

• Salary: $150,000 – $200,000\+
• Competitive benefits package
• Opportunities across a range of industries and products
• Flexible working options (remote/hybrid/on-site depending on role)
• Exposure to cutting-edge AI and machine learning projects

If you're a Machine Learning Engineer looking for your next opportunity, we’d love to hear from you.