77 E Learning jobs in Nigeria

People Learning

New
Lagos, Lagos NGN3500000 - NGN7000000 Y Club Concierge Africa

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Job Description

Strategic Development & Execution

  • Design and implement a learning and development strategy aligned with the company's business goals, culture framework, and growth trajectory.
  • Lead the execution of training plans for different business units (operations, vacation ownership,  marketing, members services, finance, product and innovation, IT, reservations, finance, people ops etc.).

Training Design & Delivery

  • Develop and deliver onboarding programs for new hires across all business units.
  • Create and facilitate in-house training on soft skills, product knowledge, systems, customer service, and sales techniques.
  • Design interactive and engaging learning materials (manuals, guides, slides, e-learning modules, etc.).

Needs Analysis and Stakeholder Collaboration

  • Conduct regular Training Needs Analysis (TNA) through collaboration with team heads, performance data review, and surveys.
  • Develop engaging learning interventions, including instructor-led sessions, e-learning, coaching, cross-functional projects, and workshops.
  • Customize training to support timeshare-specific functions such as telemarketing, sales presentations, customer relationship management, and compliance.
    Work closely with department heads to identify team-specific training needs.
  • Customize training content for the Vacation Ownership and Travel Agency teams.
  • Align training interventions with business objectives and service standards.

Coaching & On-the-Job Training

  • Provide on-the-floor coaching, shadowing, and feedback to reinforce learning.
  • Support team leads in mentoring and building frontline capability.

Assessment & Reporting

  • Evaluate training effectiveness through tests, feedback, and performance metrics.
  • Maintain accurate training records and prepare progress reports for leadership.
  • Continuously improve training methods based on data and learner feedback.

Knowledge Management & Continuous Learning

  • Develop a knowledge base and facilitate knowledge-sharing sessions.
  • Keep up with industry best practices and incorporate them into training.

Program Delivery & Evaluation

  • Facilitate training sessions and workshops, or coordinate internal/external facilitators.
  • Implement learning systems and tools to deliver, track, and evaluate training programs (e.g., LMS platforms).
  • Monitor effectiveness and ROI of training programs through post-training evaluations, KPIs, and impact assessments.

Culture, Engagement & Talent Development

  • Partner with the People Ops  team to foster a learning culture that drives innovation, ownership, and growth.
  • Champion talent development pathways including high-potential programs, career progression tracks, and succession planning.
  • Drive learning initiatives around service excellence, emotional intelligence, cultural intelligence, and leadership in hospitality.

Vendor Management & Budgeting

  • Source, assess, and manage external training vendors, consultants, and platforms.
  • Develop and manage L&D budgets, ensuring cost effectiveness and value generation.

Qualification/Experience/Skills

  • Bachelor's Degree in Human Resources, Organizational Development, Business, or related field. A Master's Degree or L&D certifications (CIPD, SHRM, ATD, etc.) is an advantage.
  • 5+ years of experience in learning and development, preferably in hospitality, tourism, or customer experience-driven industries.
  • Proven ability to design and implement strategic training programs across diverse functions.
  • Strong facilitation, coaching, and instructional design skills.
  • Familiarity with LMS platforms, learning technology, and digital content tools.
  • Experience in startups or high-growth environments is highly desirable.
  • Excellent communication, stakeholder management, and project leadership skills.
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Corporate Learning

New
Lagos, Lagos NGN4800000 - NGN12000000 Y H. Pierson Associates Limited

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Job Description

Today

H

Corporate Learning & Development Officer
H. PIERSON ASSOCIATES LIMITED
Human Resources

Lagos Full Time

Confidential

  • Minimum Qualification :
  • Experience Level : Senior level
  • Experience Length : 5 years
Job Description/Requirements

Job Summary

Located on Lagos Island, our company is a boutique consulting firm with over 40 seasoned professionals with varied experiences in both the private and public sectors. The firm plays a leading role in providing management consulting services targeted at clients in key sectors of the economy (Power, Oil & Gas, Financial Services, and Manufacturing, etc), in Nigeria and the West Coast.

Job Responsibilities

The Corporate Learning & Development Officer will be assigned the following primary responsibilities, among others:

  • Develop curricula for courses being delivered to corporate clients across sectors
  • Strong knowledge of board programs
  • Develop learning solutions proposals to clients across sectors
  • Effectively coordinate the delivery of corporate courses via virtual or physical modes.
  • Carry out extensive business development at the executive levels of corporate clients
  • Relationship Management to deepen existing corporate relationships
  • Continuous research to track changing client learning needs
  • Meet quarterly market share and financial targets
  • Deliver weekly and monthly performance reports.
  • conducting training needs analysis surveys and research
    Liaising with managers and creating training processes.

Requirements

  • HR or related background with a 2:1 or first class from a top-tier university
  • A second degree or professional qualification is a plus
  • Minimum 5 years Learning & Development Experience.
  • Curriculum Development experience
  • Evidence of meeting and exceeding sales targets at Executive levels
  • Excellent business writing and presentation skills
  • Strong B2B Business Development skills
  • Strong experience in the Financial Services, Technology, or Energy Sectors
  • Excellent verbal communication skills
  • Strong networking ability
    Board-level training experience is an added advantage

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HR: Learning

New
Lagos, Lagos NGN4800000 - NGN7200000 Y MIM Finance Company Limited

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Job Description

Role Overview

We are seeking a proactive and versatile HR & Learning and Development Manager to lead staff performance, drive employee development, and enhance overall employee experience within our organization. This role combines Learning & Development, Performance Management, HR Administration, and Employee Experience to ensure a highly engaged, high-performing workforce that supports the company's growth strategy.

Key Responsibilities

Learning & Development (L&D)


• Conduct training needs analysis and develop annual learning calendars.


• Design, implement, and evaluate training programs to build employee capabilities.


• Facilitate workshops, onboarding sessions, and leadership development programs.


• Partner with department heads to align learning initiatives with business goals.

Performance Management


• Lead the performance review process (quarterly and annual).


• Develop and implement KPIs, appraisal tools, and performance frameworks.


• Provide coaching and support to managers in driving employee performance.


• Track performance metrics and prepare management reports.

HR Administration


• Maintain employee records, contracts, and HR databases.


• Ensure compliance with labor laws, company policies, and HR best practices.


• Oversee payroll inputs, leave management, and staff documentation.


• Support recruitment, onboarding, and exit processes as required.

Employee Experience & Engagement


• Design and implement employee engagement initiatives to foster a positive work culture.


• Lead staff recognition and wellness programs.


• Conduct employee surveys, analyze feedback, and recommend improvements.


• Serve as a trusted partner for employee relations, handling concerns with empathy and confidentiality.

Requirements


• Bachelor's degree in Human Resources, Business Administration, or related field (HR certification is an advantage).


• 5+ years' HR experience with strong exposure to L&D and performance management.


• Proven track record in designing and implementing HR and training initiatives.


• Excellent interpersonal, facilitation, and communication skills.


• Strong organizational skills with the ability to manage multiple priorities.


• High level of discretion, professionalism, and problem-solving ability.

What We Offer


• Competitive salary and benefits package.


• Opportunities for professional growth and development.


• A collaborative and innovative work environment.

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Training, Learning

New
Lagos, Lagos NGN1440000 - NGN2880000 Y TenderDexta

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Job Description

Job Title: Training, Learning & Development Executive

Location:
 Remote (Work from Home)

Job Type:
 Full-time, Salary-based

About Us:

We are looking for a highly motivated and experienced Training Executive to join our team. In this role, you will be responsible for designing, developing, and delivering exceptional training programs for Virtual Assistants, Customer Service Representatives, and other related courses. Your expertise will help our clients acquire the skills and knowledge needed to excel in their roles.

Key Responsibilities:

  • Design and Develop Training Programs:
  • Create comprehensive training programs for Virtual Assistants, Customer Service Representatives, and other related courses.
  • Develop training materials, including presentations, manuals, and interactive activities.
  • Ensure training programs align with company goals and values.
  • Develop quality trainings for a Learning Management System (LMS).
  • Handle the affiliate training program.
  • Deliver Training Sessions:
  • Conduct training sessions in various formats, such as cohorts, webinars, on-the-job training, etc.
  • Provide ongoing coaching and support to ensure students meet performance targets and expectations.
  • Assess training needs and create customized training programs to address specific areas for improvement.
  • Evaluate Training Effectiveness:
  • Monitor and evaluate the effectiveness of training programs.
  • Gather feedback from trainees and make necessary changes to improve outcomes.
  • Provide regular reports on training program effectiveness and outcomes to the management team.
  • Stay Up-to-Date with Industry Trends:
  • Stay current with customer service trends, industry developments, and best practices.
  • Incorporate industry trends and best practices into training programs.
  • The possibility of putting out content for the courses that are to be sold
  • Training Attendance and Applications:
  • Oversee the management of training programs, ensuring that all team members attend relevant sessions and apply the knowledge gained to their roles.
  • Coordinate training schedules, track attendance, and evaluate the effectiveness of training initiatives.
  • Business Networking Event Attendance sponsored by the company:
  • Represent the organization at various business networking events, fostering relationships with industry peers, potential clients, and strategic partners.
  • Actively participate in discussions, share insights, and identify partnerships and collaboration opportunities.
  • Overseeing the Course Creators:
  • Manage the team of course creators, providing guidance and support to ensure the development of high-quality educational content.
  • Set clear objectives, review course materials, and ensure alignment with organizational standards.
  • Overseeing the Interns:
  • Supervise the internship program, providing mentorship and support to interns.
  • Assign tasks, monitor progress, and offer feedback to help interns develop their skills and contribute effectively to the organization.
  • Overseeing the Affiliate Marketers:
  • Lead the affiliate marketing team, developing strategies to enhance affiliate partnerships and drive sales.
  • Set performance targets, analyze campaign results, and optimize marketing efforts to maximize ROI.
  • Offering Training as the Training Executive in Areas of Expertise:
  • Leverage your expertise to deliver training sessions in specific areas, sharing knowledge and best practices with team members.
  • Design training materials, conduct workshops, and evaluate the impact of training on employee performance.

Requirements and Skills:

  • Education:
  • Bachelor's degree in Business, Human Resources, Education, or a related field.
  • Experience:
  • Minimum of 2-3 years of experience in training or teaching, preferably in a customer service or educational environment.
  • Skills:
  • Excellent communication and presentation skills.
  • Strong organizational and planning skills.
  • Ability to work independently and collaboratively in a team environment.
  • Proficiency in Microsoft Office Suite and learning management systems.
  • Knowledge of adult learning principles and ability to apply them in designing and delivering training initiatives.
  • Preferred Qualifications:
  • Certification in training and development is a plus.
  • Experience working with Customer Relationship Management (CRM) systems.
  • Experience delivering virtual training sessions and working with remote teams.

What We Offer:

  • Salary: 120,000 naira per month.
  • Uncapped commission to be earned for cohort training
  • Professional development and training opportunities.
  • Career advancement potential.
  • Remote work flexibility.
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Machine Learning Engineer

New
Lagos, Lagos NGN6000000 - NGN12000000 Y Moxingaa

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Job Description

Role Description

This is a full-time on-site role for a Machine Learning Engineer located in Lagos. The Machine Learning Engineer will be responsible for designing and implementing machine learning models, analyzing data sets to identify patterns and trends, and developing algorithms to optimize performance. The individual will collaborate with cross-functional teams to integrate machine learning solutions and participate in the testing and deployment of new models. The role requires staying up-to-date with the latest advancements in the field to ensure the use of cutting-edge techniques.

Qualifications

  • Strong skills in Pattern Recognition and Neural Networks
  • Proficiency in Computer Science and Algorithms
  • Solid understanding of Statistics and data analysis
  • Experience in developing and deploying machine learning models
  • Excellent problem-solving and analytical skills
  • Ability to work collaboratively in a team environment
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • Experience in the technology or software development industry is a plus
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Machine Learning Engineer

New
Abuja, Abuja Federal Capital Territory NGN104000 - NGN130878 Y Revoui

Posted today

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Job Description

Shape the future of interactive AI

Revoui is on a mission to revolutionize how users interact with AI. We're building intelligent AI agents & systems that learn from past interactions to deliver smarter, more human like experiences. This is an early stage opportunity to be part of a team shaping the future of AI.

What You'll Do:

Develop and refine AI models that drive interactive experiences.

Work with human reviewers and past interaction data to improve AI responses.

Collaborate on cutting edge AI research to enhance our agents' intelligence and adaptability.

Contribute to architecture, pipelines, and model deployment strategies.

What We're Looking For:

Experience in machine learning, deep learning, or NLP.

Strong programming skills in Python, ML frameworks, Data Handling, Model Training & Evaluation.

Passion for building AI that interacts with humans naturally.

Self starter mindset, comfortable in an early stage, evolving environment.

Influence the design and direction of our AI products.

Work with a visionary team on next generation AI interaction.

PLEASE NOTE:

Resumes or cover letters generated using AI tools (e.g, ChatGPT or other AI assistants) will not be considered. We value authentic applications and want to see your true experience and skills.

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Machine Learning Engineer

New
NGN1200000 - NGN3600000 Y Immigify

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Job Description

About Us

At
Immigify
, we are transforming the U.S. immigration journey through smart technology and expert guidance. Our platform combines AI-powered tools with trusted human support to simplify one of life's most complex processes — immigration.

We believe immigration should be transparent, stress-free, and accessible. By blending innovation with empathy, we empower individuals, families, and businesses to focus on building their future in the United States.

At Immigify, you'll join a fast-growing, mission-driven team where your work directly impacts lives. Our culture is collaborative, innovative, and inclusive — we value people who bring fresh ideas, take ownership, and want to make a global difference.

Job Description

We are looking for a
Machine Learning Engineer
with expertise in
LangChain
to join our dynamic team. You will design, build, and deploy scalable ML solutions that power next-generation immigration tools. Working closely with data scientists, software engineers, and product managers, you'll create AI-driven applications that deliver real-world impact.

Key Responsibilities


• Design, develop, and deploy machine learning models using
Python
and
LangChain
.


• Collaborate with cross-functional teams to translate business requirements into ML solutions.


• Build, optimize, and maintain production-ready ML pipelines and LangChain applications.


• Conduct data preprocessing, feature engineering, and model performance evaluations.


• Implement best practices for model monitoring, versioning, and deployment.


• Stay current with advancements in ML, LLMs, LangChain, and generative AI.

Required Qualifications

· Minimum of 2 years' experience.

· Strong proficiency in
Python
and ML libraries (scikit-learn, TensorFlow, PyTorch).

· Hands-on experience with
Lang Chain
for building LLM-powered applications.

· Solid understanding of ML algorithms, statistical modeling, and NLP.

· Experience with data preprocessing, feature engineering, and evaluation techniques.

· Familiarity with
cloud platforms
(AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

· Ability to write clean, maintainable, and well-documented code.

· Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.

Preferred Qualifications


• Minimum of 2 years' experience.


• Experience with
deep learning frameworks
and NLP/computer vision projects.


• Knowledge of
MLOps
tools and practices.


• Strong communication skills and a collaborative mindset.

What We Offer

· Competitive salary and benefits package.

· remote with flexible work hours.

· Career growth opportunities in a fast-scaling startup.

· An inclusive, innovative, and mission-driven culture.

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Machine Learning-LLM

New
NGN4500000 - NGN9000000 Y Highbrow Technology Inc

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Job Description

  • 7+ years in ML/AI engineering, with a strong recent focus on fine-tuning and training large models.

  • Expert in PyTorch, Hugging Face Transformers, and PEFT (LoRA/QLoRA).

  • Strong experience with distributed training (DDP, FSDP, DeepSpeed, Accelerate).

Requirements

  • 7+ years in ML/AI engineering, with a strong recent focus on fine-tuning and training large models.

  • Expert in PyTorch, Hugging Face Transformers, and PEFT (LoRA/QLoRA).

  • Strong experience with distributed training (DDP, FSDP, DeepSpeed, Accelerate).

  • Skilled with evaluation frameworks (lm-eval-harness, custom metrics, task benchmarks).

  • Proven ability to reproduce and improve results from recent research papers.

  • Strong coding practices in Python, with modular, clean implementations.

  • Familiarity with experiment tracking tools (Weights & Biases, MLflow).

  • Ability to interact with customers and researchers to translate requirements into engineering solutions

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Machine Learning Operator

New
Lagos, Lagos NGN900000 - NGN1200000 Y Conclase

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Role Description

The Machine Learning Engineer will be responsible for designing and implementing machine learning models, conducting research to develop new algorithms, and applying statistical methods to improve existing systems. They will also work with neural networks to create advanced AI solutions, ensuring the accuracy and efficiency of the models.

Qualifications

  • Expertise in Pattern Recognition and Neural Networks
  • Proficiency in developing and optimizing Algorithms
  • Excellent problem-solving and analytical skills
  • Ability to work independently and remotely
  • Experience with machine learning frameworks and libraries
  • Banking or fintech experience is a must
  • minimum of 3years experience
  • Ability to deploy and maintain Machine Learning (ML) models in production reliably and efficiently
  • Should be able to build, train, and test the model and deploy, monitor, and maintain the application and infrastructure.
  • Managing and validating large, changing datasets and features to ensure reproducibility.
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Machine Learning Intern

New
NGN104000 - NGN130878 Y The African Wave

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Job Description

Company Description

The African Wave's vision is rooted in empowerment, equity, and creativity. It aspires to redefine how stories are told and consumed, giving agency to those historically silenced. The company inspires team members to innovate with purpose, motivates writers to share their truths, and invites readers to engage in a movement for authentic storytelling. The African Wave envisions a connected world of readers and writers.

Role Description

This is a role for a Machine Learning Intern. The intern will be responsible for assisting in the development and implementation of machine learning models, conducting data analysis, and collaborating with the team on various projects. This is a remote role, providing the flexibility to work from anywhere.

Qualifications

  • Strong understanding of Machine Learning and Deep Learning
  • Knowledge of Computer Science fundamentals and Algorithms
  • Background in Statistics
  • Excellent problem-solving and analytical skills
  • Effective communication skills and ability to work in a team
  • Relevant coursework or experience in machine learning projects
  • Currently pursuing a degree in Computer Science, Data Science, or a related field
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