32 Nlp Engineer jobs in Nigeria

Company Description
Lagos Data School is a learning institute dedicated to training professionals in data science. We specialize in teaching how to analyze, visualize, and report data using various tools. Our mission is to equip our students with the practical skills needed to excel in the field of data science.

Role Description

This full-time role is for a Data Science Instructor, located on-site in Ikeja, Lagos State. The instructor will be responsible for developing and delivering course content, lesson planning, and assessing student progress. Daily tasks include teaching data science concepts, guiding students through practical exercises, and providing support to ensure their understanding and application of the material.

Qualifications

• Experience as an Instructor and ability to create effective course outline.
• Strong analytical and problem-solving skills
• Excellent communication and presentation abilities
• Ability to work and engage with students of diverse backgrounds
• Bachelor's degree in Data Science, Computer Science, Mathematics, or a related field.
• Ability to train on data science, AI and ML.
• Experience in data analysis and visualization tools is a plus

Today

Lagos Full Time

Energy & Utilities NGN 600, ,000

Easy Apply

We are seeking a motivated Junior Database Administrator (DBA) – Level 1 to provide first-line support in managing and maintaining enterprise databases. This entry-level role involves assisting senior DBAs with database monitoring, troubleshooting, backup, and basic performance tuning while gaining exposure to data science and analytics environment

• Minimum Qualification : Degree
• Experience Level : Mid level
• Experience Length : 3 years

Responsibilities:

• Provide first-level support for database incidents and service requests.
• Monitor database performance, availability, and alerts.
• Assist in database backups, restores, and routine maintenance tasks.
• Support data quality checks and ensure data integrity.
• Work with data analysts and developers to provide access to required datasets.
• Document incidents, configurations, and solutions for knowledge sharing.
• Escalate complex database issues to Level 2/3 DBAs.
• Learn and apply best practices in database administration, data governance, and security.
  Participate in on-the-job training and continuous development.

Requirements:

• HND/Bachelor's degree in Computer Science, IT, or a related field.
• Minimum of 3-5 years' experience in IT/database support.
• Basic understanding of relational databases (SQL Server, Oracle, MySQL, or PostgreSQL).
• Familiarity with SQL queries and scripting is an advantage.
• Awareness of database backup, restore, and security concepts.
• Eagerness to learn database administration and data science support.
• Certifications such as CompTIA Data+, Microsoft SQL Fundamentals, or Oracle Junior DBA are a plus.
• Strong problem-solving and communication skills.

Company Description

IJAN Africa, located in Lagos, Nigeria, is at the forefront of advancing Africa's digital and technology workforce. Our mission is to empower young people to lead prosperous professional lives through in-demand tech and non-tech digital skills. We offer training and certification in various fields including Data Analysis, Full-Stack Web Development, UI/UX, Product Design, Human Resources, and more. Additionally, we provide language proficiency programs in Spanish, German, and French to enhance global work opportunities for our participants.

Role Description

This is a full-time hybrid role for a Data Science Instructor based in Lagos, Nigeria. The Data Science Instructor will be responsible for developing lesson plans, teaching data science concepts, mentoring students, and grading assignments. The instructor will be expected to create an engaging learning environment and stay updated with industry trends. Some work from home is acceptable.

Qualifications

• Skills in Science Education, Physics, and Mathematics
• Qualified Teacher with Lesson Planning experience
• Strong communication and presentation skills
• Ability to work independently and as part of a team
• Experience in the tech industry is a plus
• Bachelor's or Master's degree in Data Science, Education, or a related field

Company Description

Wedigraf Technologies Ltd is Nigeria's leading Tech Training and Innovation Hub, offering market in-demand training programs delivered as project-based modules. Our mission is to produce job-ready individuals and entrepreneurs by equipping them with relevant industry-required digital skills. With services ranging from ICT training to software development and talent outsourcing, Wedigraf is committed to fostering digital empowerment. Located in Port Harcourt, we provide a variety of training courses including website design, mobile app development, digital marketing, and data analytics.

Role Description

This is a part-time on-site role for a Data Science Instructor located in Port Harcourt. The Data Science Instructor will be responsible for developing and delivering comprehensive data science lessons, guiding students through practical, project-based modules, and evaluating student progress. The instructor will also be involved in lesson planning, preparing teaching materials, and providing support to students to ensure they achieve their learning objectives.

Qualification

• Strong communication and presentation skills
• Ability to simplify complex concepts for diverse learners
• Experience with data science tools and technologies

Today

Lagos Full Time

Energy & Utilities NGN 900,000 - 1,200,000

Easy Apply

We are seeking an experienced Database Administrator (DBA) – Level 2 to support the design, administration, and optimization of enterprise databases for data science and business operations. This role involves ensuring database performance, security, and availability while assisting with advanced analytics and data-driven projects.

• Minimum Qualification : Degree
• Experience Level : Senior level
• Experience Length : 5 years

Responsibilities:

• Administer and maintain enterprise databases (SQL, Oracle, PostgreSQL, or similar).
• Monitor database performance and implement tuning, indexing, and optimization.
• Manage backup, recovery, and disaster recovery processes.
• Support data science and analytics teams with reliable, high-quality data.
• Ensure database security, access control, and compliance with data governance.
• Develop and maintain scripts for automation and database management tasks.
• Assist in data modeling, schema design, and integration activities.
• Troubleshoot and resolve database-related incidents and performance issues.
• Collaborate with Level 3 DBAs and architects on upgrades and migrations.
  Document database procedures, standards, and known issues.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Minimum of 5+ years' experience as a DBA or in database support.
• Proficiency in SQL and database management tools.
• Experience with database backup, recovery, and security practices.
• Familiarity with cloud databases (AWS RDS, Azure SQL, or Google Cloud SQL) is an advantage.
• Strong scripting skills (Python, Shell, PowerShell).
• Knowledge of data governance and compliance frameworks.
• Certifications such as Oracle DBA, Microsoft SQL Server, or AWS/Azure Data Certifications are a plus.
• Strong analytical and problem-solving skills.

Today

Lagos Full Time

Energy & Utilities NGN 1,200,000 - 1,500,000

Easy Apply

We are seeking an experienced Senior Machine Learning Engineer (Level 3) to lead the design, development, and deployment of advanced machine learning models and AI-driven solutions. This role involves driving end-to-end ML lifecycle management, optimizing data pipelines, and providing technical leadership to data scientists and engineers.

• Minimum Qualification : Degree
• Experience Level : Senior level
• Experience Length : 10 years

Responsibilities:

• Lead the development, training, testing, and deployment of machine learning models.
• Oversee the design and optimization of data pipelines for ML and AI projects.
• Collaborate with data scientists, analysts, and business teams to define use cases and deliver solutions.
• Ensure scalability, performance, and reliability of ML systems in production environments.
• Evaluate new machine learning frameworks, tools, and technologies.
• Drive automation and standardization in ML workflows (MLOps).
• Provide mentorship and technical leadership to junior and mid-level ML engineers.
• Conduct reviews of ML models, algorithms, and deployment practices.
• Maintain documentation, standards, and best practices for ML engineering.
  Ensure compliance with data governance, privacy, and ethical AI practices.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Minimum of 5+ years' experience as an ML Engineer or Data Scientist with production-level deployment experience.
• Strong proficiency in Python, TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks.
• Experience with data pipeline tools (Airflow, Spark, Kafka) and MLOps platforms (MLflow, Kubeflow, SageMaker).
• Expertise in cloud platforms (AWS, Azure, or GCP) for ML/AI solutions.
• Strong understanding of data structures, algorithms, and statistical modeling.
• Proven ability to lead teams, mentor peers

Overview:

We're seeking a highly experienced Senior Manager: Data Science to lead and scale a high-performing team of data scientists and ML engineers. In this role, you will define and execute the data science roadmap, oversee the end-to-end model lifecycle, and ensure that AI/ML solutions translate into measurable business outcomes. You will play a key role in embedding machine learning and advanced analytics into products, risk frameworks, and operational channels while championing model governance, explainability, and ethical AI practices.

At TeKnowledge, your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that

drive meaningful impact in AI, Customer Experience, and Cybersecurity. We turn complexity into clarity and potential into progress—in a place where people lead and tech empowers.

You'll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world.

Here, your work drives real change, and your ideas help shape the future of technology. We invest in you with top-tier training, mentorship, and career development—ensuring you stay ahead in an ever-evolving world.

Why You'll Enjoy It Here:

• Be Part of Something Big – A growing company where your contributions matter.
• Make an Immediate Impact – Support groundbreaking technologies with real-world results.
• Work on Cutting-Edge Tech – AI, cybersecurity, and next-gen digital solutions.
• Thrive in an Inclusive Team – A culture built on trust, collaboration, and respect.
• We Care – Integrity, empathy, and purpose guide every decision.

We're looking for innovators, problem-solvers, and experts ready to drive change and grow with us.

We Are TeKnowledge. Where People Lead and Tech Empowers.

Responsibilities:

• Lead and scale a high-performing team of data scientists and ML engineers.
• Define and execute the data science roadmap aligned to business priorities and monetisation opportunities.
• Oversee the end-to-end model lifecycle—from ideation, exploration, development, validation, to monitoring.
• Partner with Product, Risk, and Engineering teams to integrate models into digital and operational channels.
• Establish standards for model governance, explainability, and ethical AI practices.
• Drive innovation by exploring emerging techniques in generative AI, reinforcement learning, and real-time scoring.

Qualifications:

Education:

• Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
• Master's or PhD in Machine Learning, Applied Mathematics, Econometrics, or AI (strongly preferred).

Experience:

• 8–12 years of experience in data science, machine learning, or advanced analytics roles.
• Minimum of 3 years in a leadership or managerial capacity.
• Proven track record of delivering AI/ML models in production environments—preferably in Fintech, Banking, or Telecoms.
• Experience translating complex data science solutions into measurable business outcomes (e.g., credit scoring, fraud detection, churn prediction).
• Exposure to cloud-based ML platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI.

Preferred Certifications:

• TensorFlow, AWS ML Speciality, or Microsoft AI Fundamentals.

This is a remote position.

At FlexiSAF, we are passionate about reinventing learning, nurturing talent, and inspiring individuals to make positive career decisions. We believe that data science and artificial intelligence (AI) are two of the most important and transformative fields of our time, and we are committed to helping individuals develop the skills and knowledge they need to succeed in these fields.

Our Generative AI and Data Science program is designed to nurture the next generation of AI talents who will drive innovation and opportunities. It is designed to equip participants with the skills required to excel in this dynamic field.

The program is divided into three levels: beginner, intermediate, and advanced. Each level covers a range of topics, from the basics of data science and AI to more advanced concepts such as machine learning, deep learning, and generative AI.

Accepted Participants will learn based on a self-study approach, carry out tasks and complete projects in line with a well-structured and curated Internship Program Curriculum and resources which we provide to you at no cost, their progress will be monitored and supervised throughout the cohort to ensure that you remain on track and accountable. During the program, you will learn alongside innovative and inspiring leaders through mentorship and gain valuable experience working on real-life solutions while also acquiring some work-ready, soft-skills along the way.

NOTE: This is not a PAID opportunity therefore, payment as stipends to cover data allowance and other needs are not available for participants at this time. Every participant is expected to have a working laptop and access to data to allow FULL participation including progress tracking at different times throughout the cohort.

Requirements

• Familiarity or Working knowledge in at least one programming language such as Python and its associated libraries such as TensorFlow, PyTorch, or scikit-learnis required.
• Familiarity or Working knowledge of backend development principles, frameworks and technologies is essential. This includes experience with server-side programming languages such as Python, Java, or and frameworks such as Flask or Django, as well as proficiency in working with databases and RESTful APIs.
• Familiarity or Understanding of fundamental AI concepts and techniques such as machine learning, deep learning, neural networks and architectures, data modeling, computer vision, and NLP (Natural Language Processing).
• Familiarity with Data Manipulation and Analysis: Proficiency in data manipulation and analysis, applicants should have basic knowledge of large datasets, performing data preprocessing, feature engineering and data visualization using visualization tools such as Google Data Studio, Power BI, Tableau, e.t.c.
• Familiarity with AI Ethics and Bias.
• Accountable via set metrics and performance indicators
• Analytical and problem-solving skills.
• Communication Skills and Teamwork.
• Portfolio or Demonstrable Projects that demonstrate your skills and passion for AI development. This can include personal projects, academic projects, or contributions to open-source AI projects would be an advantage for participants joining at the Level 3 (Advanced stage).

* NOTE: Applications submitted at this time will ONLY be taken into consideration towards the January to April cohort of the program. However, intending participants whose SIWES or NYSC placement begin after January 2026 or extend beyond April 2026 are encouraged to apply and communicate their dates accordingly. *

Benefits

• Mentorship from Industry Experts: Gain valuable insights and guidance from industry-leading AI and Data Science professionals who will provide mentorship during the program.
• Hands-on Projects: Apply your learning to real-world projects, providing you with practical experience and a strong portfolio.
• Access to Tools: Explore the latest AI and Data Science tools and technologies, including generative AI frameworks, to stay ahead of the curve.
• Career Advancement: Prepare for a successful career in AI and Data Science with our comprehensive program, opening doors to exciting opportunities.
• Networking Opportunities: Connect with a diverse and supportive community of fellow learners and professionals in the field.

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