Machine Learning Engineer

NavitasPartners

Join NavitasPartners as a Machine Learning Engineer to develop and optimize ML solutions for fraud detection and risk analytics.

Last checked on June 20, 2026. We may earn a commission when you click through.

While the position offers valuable experience in the BFSI sector, the hourly wage of $30 might not attract top talent given the required qualifications and experience. Candidates looking for higher compensation may want to consider alternatives.

✓ Opportunity to work on impactful financial projects ✓ Collaboration with diverse teams ✓ Focus on cutting-edge machine learning technologies

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Machine Learning Engineer

NavitasPartners

Updated 2 months ago

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London 30/hr Full-Time

About this role

Join NavitasPartners as a Machine Learning Engineer to develop and optimize ML solutions for fraud detection and risk analytics.

About the Company

NavitasPartners specializes in innovative technology solutions within the BFSI sector, focusing on data-driven decision-making.

Key Highlights

✓ Develop and deploy machine learning models
✓ Collaborate with data scientists and business teams
✓ Implement model monitoring and governance
✓ Optimize model performance and scalability
✓ Build feature engineering frameworks

💡 Honest Take: This role is ideal for experienced ML engineers looking to apply their skills in the finance sector, but the pay may not be competitive for such expertise.

Pros

✓ Opportunity to work on impactful financial projects
✓ Collaboration with diverse teams
✓ Focus on cutting-edge machine learning technologies

Cons

✗ Hourly wage may not reflect industry standards
✗ Limited remote work options
✗ High experience requirement may deter some applicants

Best For: Ideal for professionals with a strong background in machine learning and data science looking to apply their skills in finance.

Watch Out: Be aware that the role requires significant experience, which may limit opportunities for entry-level candidates.

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What Customers Say

Current employees appreciate the opportunity to work on impactful projects, but some express concerns about the pay and lack of remote work options.

Expert Review

This Machine Learning Engineer position at NavitasPartners offers a chance to work in the finance sector, focusing on fraud detection and risk analytics. With 5+ years of experience required, it caters mainly to seasoned professionals. The $30 per hour pay is below the average for similar roles in Canada, which starts around $40 per hour for experienced engineers.

The role demands proficiency in multiple technologies including Python, TensorFlow, and Spark ML. While the responsibilities are engaging, candidates might find the lack of remote flexibility restrictive, as the position is not remote. This could deter some potential applicants who prefer or require remote work options.

this role, it’s important to weigh the experience required against the compensation offered. If you're looking for in the BFSI industry, this could be a valuable opportunity. However, if ymaximizing earnings in your next role, exploring other options might be more beneficial.

More details can be found on NavitasPartners' official page-MLEAS/-in-London,ON?jid=23d4368db638f2fc&utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic).