Senior Machine Learning Engineer

Recruiter:

Network Recruitment

Job Ref:

ITE007670/DEP

Date posted:

Friday, May 15, 2026

Location:

Cape Town, South Africa

Salary:

900 000 Annually

SUMMARY:

Join a forward-thinking team at the intersection of machine learning, human performance, and genetic innovation. If you’re passionate about building real-world ML solutions that transform physiological and health data into actionable insights, this is your opportunity to make a measurable impact.

POSITION INFO:

As a Senior Machine Learning Engineer, you will take ownership of designing, building, and deploying scalable ML solutions that process complex physiological and biological data. Working across the full model lifecycle, you will collaborate closely with cross-functional teams to turn research and data into practical, production-ready applications.

You will be part of a technically strong team where your work directly contributes to advancing data-driven health and performance solutions.
This is an ideal opportunity for someone looking to move beyond pure development into impactful ML engineering with tangible real-world outcomes.

Key Responsibilities:

Design, build, and deploy machine learning models for physiological and performance-related predictions
Develop and maintain end-to-end ML pipelines, including data ingestion, feature engineering, model training, and deployment
Work with large-scale physiological and genetic datasets to extract actionable insights
Collaborate with cross-functional teams to translate domain expertise into scalable ML solutions
Optimise model performance, scalability, and reliability in production environments
Implement model monitoring, evaluation, and retraining processes
Ensure strong data quality, governance, and reproducibility standards

Job Experience and Skills Required:
Education:

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (Postgraduate qualification advantageous)

Experience:

5+ years’ experience in Machine Learning Engineering, Applied AI, or Data Science
Proven experience building and deploying production-grade machine learning models
Experience working with large datasets and data pipelines
Exposure to health, physiological, or biological data environments is advantageous

Skills:

Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)
Solid understanding of machine learning concepts and model evaluation techniques
Experience with data processing tools (Pandas, NumPy, Spark)
Knowledge of MLOps practices (CI/CD, model versioning, monitoring)
Experience with cloud environments (AWS, Azure, or GCP)
Strong grounding in statistics and analytical thinking

Apply now!
For more exciting IT vacancies, please visit:
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I also specialise in recruiting in the following:
Software Developers (Back-End / Front-End / Full Stack)
Mobile Developers
Business & Systems Analysts
BI & SQL Experts
UI / UX Professionals
Data Scientists / Data Analysts
Big Data Professionals
Cloud Experts
Infrastructure Specialists
DevOps / SecOps Experts
Cyber Security Specialists
SEO / Digital Designers

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

For more information, contact:
Frankie Deppe
Specialist Recruitment Consultant
Connect with me on LinkedIn!

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