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- Tasks: Deliver hands-on training in AI and ML, develop innovative labs, and mentor students.
- Company: Leading cyber training provider with a focus on real-world applications.
- Benefits: Competitive salary, travel expenses covered, furnished accommodation, and no income tax.
- Why this job: Join a dynamic team and shape the future of AI and cybersecurity training.
- Qualifications: Experience in AI/ML development, teaching skills, and a relevant degree.
- Other info: Relocation required; excellent growth opportunities in a fast-paced environment.
The predicted salary is between 60000 - 80000 £ per year.
Location: South East Asia & The Gulf Area (Relocation required)
Salary: Competitive package, salary above market rates, accommodation and travel covered
Contract Type: Full-time
Company Overview
Our client delivers tailored cyber training and specialised products supported by modern technology and deep operational experience. Their programmes include realistic simulation environments, practical lab-based learning, and fully customised training paths that reflect the latest industry needs and emerging threats. Their work supports government, defence, and commercial organisations, enabling teams to develop real-world capability in secure, controlled and immersive settings. They continue to invest heavily in research and development to ensure their solutions remain relevant, effective, and future-focused.
In this position, you will:
- Join a team of instructors, responsible for our cybersecurity programs.
- Conduct frontal teaching of information security and cyber courses.
- Use innovative technologies.
- Develop and teach advanced labs.
- Development of pedagogic materials and labs.
Package:
- Competitive base salary (DOE)
- Full coverage of travel expenses
- Fully furnished accommodation with an office (relocation is required for this role)
- No income tax (due to the nature of the location)
- Full medical cover
Key Responsibilities
- Training Delivery & Facilitation
- Deliver high-quality, hands-on training in AI, Machine Learning, and related domains (e.g. deep learning, NLP, data engineering)
- Facilitate practical labs, workshops, and scenario-based exercises using real-world datasets and problems
- Adapt delivery style to suit mixed audiences (engineers, analysts, operators, and leadership where required)
- Curriculum Development
- Design and continuously enhance AI/ML training programmes (ranging from foundational to advanced levels)
- Develop structured learning materials including module descriptors, syllabi, presentations, labs, and assessments
- Ensure content reflects current industry practices, tools, and emerging trends
- Practical Environment & Labs
- Design and build hands-on lab environments (e.g. Python-based ML pipelines, MLOps workflows, model deployment scenarios)
- Develop simulation-based exercises (e.g. anomaly detection, predictive maintenance, NLP pipelines, cyber/AI use cases)
- Integrate tools such as TensorFlow, PyTorch, Scikit-learn, and cloud platforms where appropriate
- Mentorship & Capability Development
- Mentor students through complex technical topics and capstone projects
- Support learners in transitioning from theoretical understanding to applied capability
- Provide technical guidance and feedback to ensure competency development
- Quality Assurance & Continuous Improvement
- Contribute to course reviews, assessment design, and quality assurance processes
- Ensure alignment with industry frameworks, standards, and best practices
- Continuously update content based on technological advancements and feedback
- Stakeholder Engagement
- Work with internal and external stakeholders to align training with operational and business needs
- Support demonstrations, executive briefings, and capability showcase where required
Required Experience & Skills
- Technical Expertise
- Strong hands-on experience in AI/ML development and deployment in real-world environments
- Proficiency in Python and common ML libraries (e.g. TensorFlow, PyTorch, Scikit-learn)
- Experience with data pipelines, feature engineering, and model evaluation
- Exposure to areas such as:
- Deep Learning
- Natural Language Processing (NLP)
- Predictive analytics
- MLOps and model lifecycle management
- Familiarity with cloud platforms (AWS, Azure, or GCP) is desirable
- Demonstrated experience applying AI/ML solutions in operational or commercial environments
- Ability to translate business or operational problems into AI-driven solutions
- Experience working in environments such as cybersecurity, defence, finance, healthcare, or industrial systems is advantageous
- Proven experience delivering technical training, workshops, or mentoring
- Ability to explain complex concepts clearly to both technical and non-technical audiences
- Strong facilitation skills with a focus on hands-on, applied learning
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
- A PhD in a relevant discipline is advantageous but not essential
- Relevant industry certifications (e.g. cloud, data science, AI/ML) are a plus
Key Attributes
- Practitioner mindset with a focus on real-world application over theory alone
- Strong problem-solving and analytical thinking
- Passion for teaching and developing others
- Ability to operate in a fast-paced, evolving technical environment
- High level of professionalism and adaptability
Desirable Experience
- Experience in building or contributing to training academies or structured learning programmes
- Exposure to simulation-based training environments, cyber ranges, or applied AI labs
- Experience designing capstone projects or challenge-based learning (CTFs, scenarios, etc.)
AI & ML Trainer in England employer: Cyber Search Partners
Contact Detail:
Cyber Search Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & ML Trainer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space, especially those who work in training or cybersecurity. Attend meetups, webinars, or conferences to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially any hands-on labs or simulations you've developed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your teaching techniques and technical knowledge. Be ready to explain complex concepts in simple terms, as you'll be working with diverse audiences in this role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI & ML Trainer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and ML, especially any hands-on projects or teaching roles. We want to see how your skills align with the job description, so don’t hold back on showcasing your relevant expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and ML training. Share specific examples of your teaching style and how you’ve successfully engaged diverse audiences in the past.
Showcase Your Technical Skills: Since this role requires strong technical expertise, be sure to mention your proficiency in Python and any ML libraries you’ve worked with. We love seeing practical applications of your skills, so include any relevant projects or experiences!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get you one step closer to joining our team!
How to prepare for a job interview at Cyber Search Partners
✨Know Your Stuff
Make sure you brush up on your AI and ML knowledge, especially around the tools mentioned in the job description like TensorFlow and PyTorch. Be ready to discuss your hands-on experience with real-world applications and how you've tackled complex problems in previous roles.
✨Showcase Your Teaching Skills
Since this role involves delivering training, think about examples where you've successfully taught or mentored others. Prepare to explain how you adapt your teaching style for different audiences, whether they’re engineers or leadership.
✨Prepare for Practical Scenarios
Expect to engage in scenario-based exercises during the interview. Familiarise yourself with practical lab setups and be ready to discuss how you would design and facilitate these environments to enhance learning outcomes.
✨Align with Industry Trends
Stay updated on the latest trends in AI and ML, especially in cybersecurity contexts. Be prepared to discuss how you would ensure that training content remains relevant and effective, reflecting current industry practices and emerging threats.