Senior Machine Learning Engineer

Network1

Job Location:

Cape Town - South Africa

Monthly Salary: Not Disclosed

Posted on: 23 hours ago

Vacancies: 1 Vacancy

Job Summary

Join a forward-thinking team at the intersection of machine learning human performance and genetic innovation. If youre 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.

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:

Bachelors 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:

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!
Experience:

Senior IC

Join a forward-thinking team at the intersection of machine learning human performance and genetic innovation. If youre 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.As a Se...

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:

Bachelors 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

Senior IC

Apply Now

About Company

Network1

Network Recruitment specializes in talent solution services in the fields of IT, Finance, Engineering & Supply Chain. Visit our website for more info.

View Profile View Profile

AI AutoApply

Apply to 100+ jobs with one click