89 Machine learning engineer Jobs and Work in South Africa

Senior Machine Learning Engineer
Lula —Cape Town, Western Cape
- Full-time
9d
Engineer
Transnet —Braamfontein, Gauteng
7d
Lead AI Applied Engineer: RA SC SFP (Lynnwood) (JG 11)
Sanlam —Pretoria, Gauteng
9d
Software Engineer (Machine Learning)
Sanlam —Cape Town, Western Cape
9d
QA Engineer
ASSA ABLOY —Durban, KwaZulu-Natal 3630
- Remote
Principal Generalist Engineer
Moniepoint —Home Based
- Remote
11d
Software Applications Development Engineer, Cloud-Native Platforms & AWS
NTT DATA —Cape Town, Western Cape 7708
- Full-time
Applied AI Engineer
Revolut —Home Based
- Remote
AI Engineer
Aculocity, LLC —Durbanville, Western Cape 7550
- Full-time
ML Engineer | Hybrid
Badger Holdings —George, Western Cape
- Full-time
Senior QA Engineer
ASSA ABLOY —Durban, KwaZulu-Natal 3630
- Remote
AI Operations & Solutions Engineer
Moburst —Johannesburg, Gauteng
- Remote
Asset Intelligence Engineer
Candi Solar —Sandton, Gauteng
- Full-time
- Remote
Quick Apply
Asset Intelligence Engineer Intern ZA
Candi Solar —Sandton, Gauteng
- Remote
- Internship
Quick Apply
Senior AI Engineer
Games Global Operations Limited —Durban, KwaZulu-Natal 4051
- Full-time
AI Engineer
Crypto Banter —Home Based
- Full-time
- Remote
Quick Apply
SENIOR AI ENGINEER
Media24 —Cape Town, Western Cape
AI Engineer
iqbusiness South Africa —Johannesburg, Gauteng
Research Engineer, Applied AI
HeyMilo —Western Cape
- Full-time
Quick Apply
Software Development Engineer
AnyVan —Cape Town, Western Cape
- Full-time
13d

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Senior Machine Learning Engineer

Lula
Cape Town, Western Cape

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Job Details

Full-time
9 days ago

Full Job Description

What We Do:

We're Lula. We build innovative fintech products to help SMEs make cash flow. From instant access to funding to all-in-one business banking accounts, we're on it!

Our purpose is to help SMEs manage their business better, faster, simpler, Lula, so they can spend more time doing what they love.

Speaking of love, we're looking for Lulas who love to make a difference to join our team and change the game.

CULTURE CODE

We Embrace Curiosity- We continuously seek better ways to deliver value with a solutions-over-problems mindset.

We win as One - We collaborate, build strong relationships and value diverse perspectives

We're Driven by Purpose - We are passionate and committed to delivering the best products and services for SMEs

We Execute with Ambition - We set ambitious goals, embrace challenges, and deliver with focus and determination.

ROLE OVERVIEW

You'll work at the intersection of data science and engineering to build, deploy, and scale machine learning systems. This includes improving ML infrastructure, designing reliable real-time data systems, and ensuring models run efficiently and reliably in production.

RESPONSIBILITIES:

Consult with data scientists on training machine learning models
Support improvements and additions to the ML infrastructure, including getting your hands dirty with data engineering and DevOps engineering
Design systems to meet throughput and latency requirements
Implement NFRs (Non-Functional Requirements) to ensure a high degree of system reliability

THE SKILLS AND EXPERIENCE WE ARE LOOKING FOR:

Prior experience with productionising ML systems is a must.
Prior experience training machine learning models is highly desirable.
Advanced knowledge of Python and familiarity with SQL.
Good working knowledge of Terraform for Infrastructure as Code (IaC)
A solid understanding and hands-on experience with real-time and event-driven systems such as Kafka, Kafkaconnect, Pub/Sub.
Solid experience with Kubernetes, docker, deployment types (canary, blue-green etc.)
Experience with setting up CI/CD systems using tools such as CircleCI, drone, Github actions, ArgoCD.
Working experience with Big Data technologies such as Spark, Dataflow, and Flink.
Experience with system design - keeping performance and efficiency in mind, whilst aware of trade-offs.
Experience applying software engineering rigor to ML, including CI/CD/CT, unit-testing, automation etc.
Hands-on experience with some MLOps tools such as KubeFlow, DVC, MLFlow.
Experience with cloud providers, such as GCP, AWS, or Azure
Prior experience or a strong interest in FinTech space

Apply Now

Refine Your Search

machine learning engineer jobs in south africa

Senior Machine Learning Engineer

Engineer

Lead AI Applied Engineer: RA SC SFP (Lynnwood) (JG 11)

Software Engineer (Machine Learning)

QA Engineer

Principal Generalist Engineer

Software Applications Development Engineer, Cloud-Native Platforms & AWS

Applied AI Engineer

AI Engineer

ML Engineer | Hybrid

Senior QA Engineer

AI Operations & Solutions Engineer

Asset Intelligence Engineer

Asset Intelligence Engineer Intern ZA

Senior AI Engineer

AI Engineer

SENIOR AI ENGINEER

AI Engineer

Research Engineer, Applied AI

Software Development Engineer

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