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Principal Machine Learning Engineer - Johannesburg (Hybrid, Permanent)

A senior, hands-on engineering leadership role within an elite Data & AI environment, leading the design and delivery of complex, real-time, production-scale machine learning systems. The role combines deep technical capability with architectural leadership, strategy input, mentorship, and thought leadership.

Key Technical Requirements

Architecture & Engineering

*

Proven experience designing end-to-end ML ecosystems, not just building models
*

Strong capability in real-time, event-driven, and streaming architecture
*

Deep experience building highly scalable, fault-tolerant production systems
*

Strong understanding of data governance, robustness, security, and quality engineering
*

Extensive experience working with microservices architectures



Data Streaming & Real-Time Processing

*

Expert-level hands-on experience with:

*

Kafka
*

Flink
*

Beam (advantageous)

*

Strong understanding of real-time ingestion, processing, and event pipelines



Cloud & Infrastructure

*

Significant experience architecting and delivering on multi-cloud platforms

*

Primary strength required: AWS
*

Plus meaningful experience across GCP and Azure

*

Expected depth across services such as:

*

Lambda, S3, RDS, DynamoDB, VPC (or equivalents in other clouds)

*

Strong containerisation & orchestration capability:

*

Kubernetes
*

Docker



Programming & Software Engineering

*

Strong multi-language engineering background, ideally across:

*

Python
*

Go
*

Java
*

C#
*

JavaScript (beneficial)

*

Strong CI/CD mindset and modern software engineering best practices
*

Comfortable building full applications, APIs, services, and ML-supporting infrastructure



Machine Learning & Data

*

Proven production experience with:

*

Structured and unstructured data
*

Real-world deployment of ML solutions (not only experimentation)

*

Experience with:

*

Jupyter / notebook-driven environments
*

ML platform tooling (e.g., SageMaker or equivalent)
*

Semi-supervised learning approaches useful but not mandatory

*

Exposure to:

*

Large Language Models
*

Generative AI and emerging applied AI capabilities



Databases & Storage

*

Strong across:

*

SQL databases (e.g., MS SQL, MySQL)
*

NoSQL platforms (e.g., MongoDB)
*

Graph databases (e.g., Neo4j)



Ways of Working

*

Experience working in modern Agile environments (Scrum / Kanban)

Data Engineer - Automotive

We are looking for a skilled Data Engineer to help design and build the next generation of data platforms that power large-scale telematics, IoT, and fleet-management systems. In this role, you will work with high-volume, real-time data generated from connected devices, vehicles, sensors, and safety systems, and help transform this data into reliable, accessible, analytics-ready products.

You will play a key part in modernising our data ecosystem across Azure and AWS, enabling scalable ingestion, advanced analytics, machine learning, and real-time operational insights for internal teams and enterprise clients.

What You'll Do

Core Responsibilities

* Design and build cloud-native data pipelines for high-velocity telematics and IoT data using Azure and AWS services.
* Develop and maintain data lake / lakehouse architectures (S3, ADLS, Delta Lake, Iceberg).
* Implement streaming and batch processing frameworks using tools such as Spark, Databricks, Kinesis, Event Hub or Kafka.
* Build reliable ETL/ELT jobs for preparing and curating bronze/silver/gold datasets.
* Support real-time analytics, including geofencing, driver behaviour analysis, alerting, and operational monitoring.
* Create and maintain data APIs, microservices, and integrations for internal teams and external partners.
* Work closely with ML engineers to enable feature stores, training datasets, and productionised ML workflows.
* Implement robust data governance, POPIA compliance, lineage, and access controls across the data environment.
* Participate in the modernisation and migration of legacy data systems to cloud platforms.
* Optimise for reliability, cost efficiency, performance, and scalability.

What You'll Bring

Essential Skills

* Experience building data platforms on both Azure and AWS.
* Strong skills in Python, SQL, and distributed processing frameworks (e.g., Spark).
* Hands-on expertise with:

* Azure Data Factory, Event Hub, Databricks, ADLS
* AWS Glue, S3, Lambda, Kinesis, API Gateway

* Experience with streaming architectures and real-time data processing.
* Understanding of data lakehouse design, metadata management, and data modelling.
* Familiarity with IoT or telematics-style data (high-volume events, time-series data) is a strong advantage.

Nice to Have

* Knowledge of containerisation (Docker, Kubernetes).
* Experience with infrastructure-as-code (Terraform, CloudFormation, Bicep).
* Exposure to ML pipelines, driver scoring, or predictive maintenance models.
* Background in fleet, IoT, logistics, telecoms, or similar data-heavy industries.

What We Offer

* Work on high-impact, real-time data systems used by thousands of businesses and millions of devices.
* Opportunities to innovate within cloud, IoT, telematics, and AI-driven analytics.
* A modern engineering environment with autonomy, collaboration, and continuous learning.
* Competitive salary, benefits, and growth opportunities.

Dynamics 365 Business Central Consultant - Cape Town Or Johannesburg

This is a fantastic opportunity to work for an award winning Microsoft Partner as a Dynamics 365 BC Consultant

This client is in a unique industry and is looking for someone in Cape Town, SA to work internally on their global platform. This role will involve developing relationships, gathering requirements & delivering Business Central projects for their internal finance and supply chain systems, working alongside some top BC professionals in SA

The ideal clients will have:
*Strong Dynamics Business Central Consulting/Stakeholder Management
*Financial Experience
*Experience implementing D365 BC end to end.
*Integration experience

Perks include:

- Competitive package

- Collaborative & supportive culture.

- Clear progression route.

Interested? Please contact Emma ASAP directly on +44 191 338 7671 or send CV to e.townsend@tenthrevolution.com

Nigel Frank International is the leading Microsoft Dynamics recruiter worldwide, advertising more Dynamics jobs than any other agency. We deal with Microsoft Partners and End users throughout South Africa and the world and have never had such a large demand for Microsoft Dynamics professionals. By specialising in placing candidates in markets in South Africa I have developed excellent relationships with employers in South Africa.

NAV/ ERP/ Navision/ Dynamics/ Microsoft Dynamics NAV/ Business Central/ Consultant

Dynamics 365 Business Central Consultant

This is a fantastic opportunity to work for an award winning Microsoft Partner as a Dynamics 365 BC Consultant

This client is a long standing Dynamics BC specialized partner and have a huge range of customers across Africa in the D365 space. This role will involve developing relationships, gathering requirements & delivering Business Central projects for their finance and supply chain systems, working alongside some top BC professionals in SA.

The company offer a warm, collaborative culture with an opportunity to grow and expand your skillset rapidly through exposure to large scale projects and experienced team members.

The ideal clients will have:
*Strong Dynamics Business Central Consulting/Stakeholder Management
*Financial Experience Beneficial
*Experience implementing D365 BC end to end.
*Supply Chain and Manufacturing experience essential.

Perks include:

- Competitive package

- Collaborative & supportive culture.

- Clear progression route.

- Remote working.

Interested? Please contact Emma ASAP directly on +44 191 338 7671 or send CV to e.townsend@tenthrevolution.com

Nigel Frank International is the leading Microsoft Dynamics recruiter worldwide, advertising more Dynamics jobs than any other agency. We deal with Microsoft Partners and End users throughout South Africa and the world and have never had such a large demand for Microsoft Dynamics professionals. By specialising in placing candidates in markets in South Africa I have developed excellent relationships with employers in South Africa.

NAV/ ERP/ Navision/ Dynamics/ Microsoft Dynamics NAV/ Business Central/ Consultant

Senior DevOps Engineer

An established technology-driven organisation is looking for a Senior DevOps Engineer to lead the design, automation, and optimization of scalable, secure, and high-performing systems. The ideal candidate will bring a balance of hands-on technical expertise, strong operational discipline, and the ability to drive engineering best practices across teams.

Key Responsibilities

Infrastructure & Automation

*

Design, deploy, and maintain Kubernetes clusters for reliable, large-scale application delivery.
*

Develop automation scripts using tools such as Bash, Python, PowerShell, and YAML to enhance build, deployment, and monitoring efficiency.
*

Build and optimize CI/CD pipelines and implement infrastructure-as-code (IaC) using technologies like Terraform, Ansible, Jenkins, GitHub Actions, or Azure DevOps.
*

Champion automation and observability practices across the full software delivery lifecycle (SDLC).

Security & Compliance

*

Enforce cloud and infrastructure security best practices, incorporating DevSecOps principles.
*

Manage database operations and ensure secure, efficient performance across systems.
*

Support compliance initiatives by ensuring systems adhere to governance and regulatory standards.

Collaboration & Delivery

*

Work closely with software engineering, QA, security, and infrastructure teams to deliver reliable, scalable solutions.
*

Provide technical guidance and mentorship to promote a culture of continuous learning and improvement.
*

Liaise with stakeholders to clarify technical requirements and align DevOps initiatives with business needs.

Performance & Continuous Improvement

*

Monitor system performance and resolve production issues to ensure high availability and resilience.
*

Document configurations, automation processes, and best practices for internal teams.
*

Keep up to date with emerging DevOps technologies and recommend improvements to existing systems.

Key Deliverables

*

Scalable Infrastructure: Robust, automated Kubernetes and cloud environments supporting continuous growth.
*

Efficient CI/CD: Streamlined pipelines accelerating delivery and reducing deployment risk.
*

Enhanced Security: Implementation of DevSecOps principles ensuring compliance and reliability.
*

Continuous Improvement: Optimization of systems and processes through innovation and mentorship.
*

Clear Communication: Well-documented processes and knowledge sharing across technical teams.

Experience & Skills

*

7+ years of practical DevOps experience in complex, multi-environment ecosystems.
*

Proven expertise with Kubernetes administration and advanced kubectl usage.
*

Strong scripting and automation capabilities using Bash, Python, PowerShell, or YAML.
*

Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps).
*

Proficiency across major cloud environments (AWS, Azure, GCP).
*

Working knowledge of the SDLC and modern project delivery methodologies.
*

Solid understanding of security practices for cloud and containerized systems.
*

Experience managing infrastructure-as-code (Terraform, Ansible).
*

Familiarity with database systems, reporting tools, and monitoring platforms is advantageous.
*

Excellent analytical, troubleshooting, and communication skills.
*

Ability to collaborate effectively across teams while maintaining high levels of autonomy and accountability.
*

Passion for automation, innovation, and operational excellence.

Qualifications

*

Bachelor's degree in Computer Science, Information Systems, or a related discipline (or equivalent practical experience).

Would you like me to turn this version into a LinkedIn job post format next -

Principal Machine Learning Engineer - Johannesburg (Hybrid, Permanent)

A senior, hands-on engineering leadership role within an elite Data & AI environment, leading the design and delivery of complex, real-time, production-scale machine learning systems. The role combines deep technical capability with architectural leadership, strategy input, mentorship, and thought leadership.

Key Technical Requirements

Architecture & Engineering

*

Proven experience designing end-to-end ML ecosystems, not just building models
*

Strong capability in real-time, event-driven, and streaming architecture
*

Deep experience building highly scalable, fault-tolerant production systems
*

Strong understanding of data governance, robustness, security, and quality engineering
*

Extensive experience working with microservices architectures



Data Streaming & Real-Time Processing

*

Expert-level hands-on experience with:

*

Kafka
*

Flink
*

Beam (advantageous)

*

Strong understanding of real-time ingestion, processing, and event pipelines



Cloud & Infrastructure

*

Significant experience architecting and delivering on multi-cloud platforms

*

Primary strength required: AWS
*

Plus meaningful experience across GCP and Azure

*

Expected depth across services such as:

*

Lambda, S3, RDS, DynamoDB, VPC (or equivalents in other clouds)

*

Strong containerisation & orchestration capability:

*

Kubernetes
*

Docker



Programming & Software Engineering

*

Strong multi-language engineering background, ideally across:

*

Python
*

Go
*

Java
*

C#
*

JavaScript (beneficial)

*

Strong CI/CD mindset and modern software engineering best practices
*

Comfortable building full applications, APIs, services, and ML-supporting infrastructure



Machine Learning & Data

*

Proven production experience with:

*

Structured and unstructured data
*

Real-world deployment of ML solutions (not only experimentation)

*

Experience with:

*

Jupyter / notebook-driven environments
*

ML platform tooling (e.g., SageMaker or equivalent)
*

Semi-supervised learning approaches useful but not mandatory

*

Exposure to:

*

Large Language Models
*

Generative AI and emerging applied AI capabilities



Databases & Storage

*

Strong across:

*

SQL databases (e.g., MS SQL, MySQL)
*

NoSQL platforms (e.g., MongoDB)
*

Graph databases (e.g., Neo4j)



Ways of Working

*

Experience working in modern Agile environments (Scrum / Kanban)

Job Description



I am actively representing one of the South Africa's leading Microsoft Gold Partner's, as they look to add to their award winning, consultancy team with a functional Dynamics NAV/Business Central developer. This is a fantastic opportunity to join a growing, successful D365 BC solution provider and forge a career in Dynamics 365 implementation - working in a like minded team environment on a host of exciting customer implementations in 2026 and beyond.



My client offers industry leading, certified training, a progression plan for internal career growth, and the opportunity to utilise prior NAV implementation skills on fresh project roll outs in the latest technology - D365 Business Central.



This brilliant new role is Based in JHB or CPT, with the expectation of 4 days per week in office.

Role & Responsibilities



* Configure and develop the core D365 Business Central implementation.

* Integrate D365 Business Central with the broader IT estate.

* Assist with solution design where necessary.

* Work with the QA team to help plan, develop, coordinate, and document test scripts.
* Write implementation runbooks and actively participate in development, testing and UAT activities.



Skills & Qualifications

* Dynamics 365 Business Central/NAV development experience

* A strong software development background, with a software engineering degree or equivalent work experience.

* A/L extensions and a background with C/AL would be advantageous.

* Good problem-solving and communication skills.

* A pragmatic approach to software development.

* Experience in working in agile teams using Scrum.
* Microsoft SQL Server configuration and troubleshooting.



Benefits





* A brilliant starting salary up to R80,000 PM (experience dependant)



* Quarterly bonus incentives



* The opportunity to get hands on with fresh, D365 BC implementation projects locally in SA & internationally



* Certified Microsoft training and a tailored career progression plan



* A fun, enthusiastic work culture and environment, where no 2 days are the same





Interested in taking a fresh step with Dynamics 365 Business Central? Apply today for a confidential consultation!



To discuss this exciting opportunity in more detail within the Dynamics NAV/ 365 BC market, please contact Emma Taylor on e.townsend@tenthrevolution.com

Nigel Frank International is the global leading Microsoft Dynamics Recruitment firm, providing the most Dynamics NAV/ 365 BC opportunities within the global market. Dealing with both Microsoft Gold Partners and End Users, our specific Microsoft Dynamics NAV/ 365 BC team specialise in the highest amount of exclusive live roles within the SA market, enabling us to match your requirements with a broad range of exciting opportunities. Our client relationships have been built up through our extensive knowledge and experience within the industry, with clients using our service time and again for the best experience within the Dynamics NAV/ 365 BC market.

I am interested in speaking to any Dynamics candidate who is seeking their next career move, and can ensure complete confidentiality in the process. To talk further about exclusive live opportunities in the SA Dynamics market, please contact me ASAP.

Head of Data & Analytics

An established organisation is seeking an experienced Head of Data & Analytics to lead its data function and drive innovation through analytics, machine learning, and insight-led strategy. This senior role involves shaping the company's data vision, scaling a high-performing analytics team, and ensuring data-driven decision-making across all business areas.

Key Responsibilities

Leadership & Strategy

*

Define and deliver a comprehensive data strategy aligned to business objectives.
*

Build, lead, and mentor a multidisciplinary team of data scientists, engineers, and analysts.
*

Partner with senior stakeholders across technology, finance, commercial, and operations to implement impactful data initiatives.

Technical Delivery

*

Oversee the design, development, and deployment of advanced analytics and machine learning models.
*

Champion best practices in experimentation, data science governance, and model lifecycle management.
*

Stay current with emerging technologies in AI/ML to maintain a culture of continuous innovation.

Business Enablement

*

Translate data into clear, actionable insights that inform strategy and performance.
*

Quantify and communicate the ROI of key data projects.
*

Identify opportunities to leverage data for competitive advantage, customer insight, and operational improvement.

Data Infrastructure & Governance

*

Ensure data platforms and pipelines are scalable, secure, and reliable.
*

Promote strong data governance, accuracy, privacy, and ethical AI practices.

Reporting & Collaboration

*

Ensure timely delivery of analytical reports and dashboards to stakeholders.
*

Collaborate with internal teams to resolve data discrepancies and improve reporting consistency.

Required Experience

*

8+ years' experience in data science or advanced analytics roles.
*

At least 3 years in a leadership or people management capacity.
*

Proven ability to communicate technical insights to senior, non-technical audiences.
*

Strong commercial awareness and problem-solving capability.
*

Deep experience with statistical modelling, predictive analytics, and machine learning.
*

End-to-end project ownership of data science solutions from concept to production, including ML life cycle management (e.g., MLflow, Weights & Biases).
*

Exposure to streaming technologies (Kafka, Kinesis, Azure Event Hubs).
*

Proficiency in Python, R, SQL, and common ML frameworks (scikit-learn, TensorFlow, PyTorch).
*

Familiarity with cloud data environments (AWS, Azure, GCP) and orchestration tools such as Airflow, Spark, DBT, or Purview.

Qualifications

*

Master's or PhD in Computer Science, Statistics, Mathematics, Engineering, or related discipline preferred.

If you're a strategic data leader passionate about scaling teams and delivering measurable business value through data, we'd love to connect.

About the Role

We're seeking an experienced AI Engineer to lead the design and implementation of AI-driven solutions within a complex enterprise environment. This is a strategic role requiring strong technical depth and the ability to influence architecture decisions at an enterprise level. You'll work closely with senior stakeholders to shape AI road maps and deliver impactful solutions.



Key Responsibilities:



*

Consulting & Advisory:

*

Assess and prepare data sources for AI readiness, including APIs.

*

Provide strategic guidance on business process improvement using generative AI.

*

Implementation & Integration:

*

Deploy AI capabilities leveraging Microsoft technologies such as Copilot Studio (Lite & Full) and Azure AI Foundry.

*

Integrate AI solutions into Dynamics 365 (D365) environments.

*

Architecture & Strategy:

*

Lead architecture discussions and create solution roadmaps from scratch.

*

Ensure data readiness and security for AI applications, including cybersecurity considerations.

*

Cross-Platform Expertise:

*

Evaluate and incorporate AI offerings beyond Microsoft's ecosystem (AWS Bedrock, GCP).

*

Explore model concept protocols and multi-cloud strategies



What We're Looking For

*

Solid technical foundation with senior-level C# development experience.

*

Strong understanding of AI architecture, data integration, and Azure AI Foundry.

*

Ability to hold your own in architecture discussions and communicate complex ideas clearly.

*

Experience in enterprise environments, ideally banking or large corporate settings.

*

Familiarity with Dynamics 365, Copilot Studio, and generative AI applications.

*

Bonus: Knowledge of AWS Bedrock, GCP, and data security best practices for AI.



Why This Role?

*

Full-time allocation to a major enterprise AI initiative.

*

Opportunity to influence strategic decisions and work on cutting-edge AI projects.

*

Join a team that's ahead of the curve in implementing AI solutions at scale.

Principal Machine Learning Engineer - Johannesburg (Hybrid) / Cape Town (Remote)

Full-time | Permanent

A leading technology and data-driven organisation is looking for an exceptional Principal Machine Learning Engineer to join their Intelligent Data team. This is a senior, high-impact role driving the architecture, strategy, and delivery of advanced AI and machine learning systems.



The Opportunity

You will provide both technical and strategic leadership, shaping the next generation of real-time AI solutions. The team builds high-performance, production-grade systems with a strong emphasis on engineering excellence, governance, and scalable design.

Examples of the types of projects you may contribute to include:

*

Real-time fraud prevention systems analysing behavioural and financial signals to stop fraudulent transactions instantly.
*

Advanced event-driven telemetry solutions processing real-time device data to reduce false alerts and automate critical decisioning.
*

Cutting-edge LLM-based initiatives within an organisation with several years of production experience in applied generative AI.

This role suits a hands-on engineering leader who is passionate about building robust platforms, driving ML strategy, and inspiring a world-class technical team.

Key Responsibilities

Technical & Architectural Leadership

*

Lead the design and architecture of complex, real-time, scalable ML systems.
*

Resolve advanced engineering challenges and guide high-level architectural decisions.
*

Provide deep expertise in data streaming and event-driven tooling.
*

Evaluate new technologies and keep the practice at the forefront of industry innovation.

Strategic Contribution

*

Partner with leadership to define and evolve ML strategy and platform direction.
*

Research emerging tools and trends (LLMs, Generative AI, AI assistants) and apply them to real use cases.

Team Leadership & Mentorship

*

Coach, mentor, and uplift a high-performing technical team.
*

Drive best practices, code quality, and engineering excellence.

Thought Leadership & Communication

*

Represent the ML discipline effectively, presenting to internal and external audiences.
*

Contribute to content, talks, and community engagement.

Ideal Candidate Profile

This individual is a rare combination of technical depth, architectural thinking, leadership, and communication excellence.

Non-negotiables:

*

Hands-on ML Engineer: Proven track record building full end-to-end ML and AI application ecosystems.
*

Streaming & Platform Expertise: Strong experience with Kafka, Flink, Beam, or similar.
*

Multi-cloud engineering: Strongest in AWS, with exposure to GCP and Azure.
*

Technical versatility: Deep experience across Python, Go, Java, C#, or similar languages.
*

Leadership: Demonstrated ability to mentor, lead, and inspire engineering teams.
*

Communication: Ability to translate complex concepts for both technical and non-technical audiences; public speaking or content creation a plus.

Technical Skill Matrix

CategoryTechnologies / Concepts
Cloud PlatformsAWS, GCP, Azure
Data StreamingKafka, Flink, Beam
ProgrammingPython, Go, Java, C#, JavaScript
ArchitectureMicroservices, Event-Driven Architecture, Kubernetes, Docker
Data & MLStructured & unstructured data, semi-supervised learning, ML ops tooling
DatabasesSQL (MS SQL, MySQL), NoSQL (MongoDB), Graph (Neo4j)
ProcessAgile (Scrum, Kanban)