Artificial Intelligence (AI) Specialist

Job Description:

An Artificial Intelligence (AI) Specialist designs, develops, and implements AI technologies, algorithms, and solutions to solve complex problems and improve automated systems.

Job Category:
IT Industry

What you will do:

As an Artificial Intelligence (AI) Specialist, you will be:

  • Developing AI strategies and solutions tailored to address specific business challenges and opportunities
  • Designing and implementing machine learning algorithms, neural networks, and AI models to process data and make predictions
  • Collecting, preparing, and analyzing data to train AI models and extract meaningful insights
  • Training AI models using datasets, fine-tuning parameters, and rigorously testing to optimise performance and accuracy
  • Creating software applications and platforms that integrate AI capabilities, such as natural language processing and computer vision
  • Writing code in languages like Python, Java, or C++ to build and deploy AI-driven applications
  • Utilizing deep learning techniques to develop and improve complex AI models like deep neural networks
  • Staying current with AI advancements, conducting research, and experimenting with cutting-edge technologies to enhance AI capabilities
  • Collaborating with cross-functional teams, including data scientists, engineers, and domain experts, to ensure AI solutions align with business needs
  • Identifying challenges and using AI techniques to solve intricate problems in fields like healthcare, finance, robotics, and more
  • Addressing ethical concerns related to AI, such as bias, privacy, and transparency in algorithmic decision-making
  • Creating clear and comprehensive documentation for AI models, code, and solutions to facilitate collaboration and knowledge sharing
  • Ensuring seamless deployment of AI solutions in real-world scenarios and monitoring their performance
  • Staying updated with AI trends, attending conferences, workshops, and engaging in continuous learning to remain at the forefront of the field
  • Exploring novel AI applications, developing prototypes, and pushing the boundaries of AI technology


You will need:

  • knowledge in machine learning algorithms,  mathematics, natural language processing, computer vision, optimization, cloud computing, version control, domain expertise
  • knowledge of data preprocessing, cleaning, feature engineering, and statistical analysis to prepare data for training and testing models
  • proficiency in programming languages like Python, Java, or R for developing AI models, working with data, and creating applications
  • familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and techniques for building and training complex neural networks

As well as:

Illustration of employee looking at workspace

Entry Requirements:

To become an AI Specialist, you should focus on the following GCSE subjects to build a strong foundation for further education and a career in artificial intelligence:

  1. Mathematics: Mathematics is crucial for understanding the mathematical principles behind AI algorithms and data analysis.
  2. Computer Science or ICT: These subjects provide a fundamental understanding of programming, algorithms, and computational thinking.
  3. Physics: Physics can help you understand concepts related to optimization, algorithms, and problem-solving in AI.
  4. Statistics: Statistics knowledge is important for data analysis, probability theory, and machine learning techniques.
  5. English: Strong communication skills are essential for explaining complex AI concepts to non-technical audiences.
  6. Design and Technology: Developing skills in technology and design can be useful for creating AI-driven applications and projects.
  7. Science Subjects: Depending on your area of interest within AI, subjects like biology, chemistry, or electronics might be relevant.

Remember that while these subjects provide a solid foundation, pursuing higher education such as a bachelor’s or master’s degree in computer science, data science, or a related field is essential for becoming a proficient AI Specialist.

To become an AI Specialist, you typically need the following qualifications and requirements:


A bachelor’s degree in computer science, data science, artificial intelligence, machine learning, or a related field is the minimum requirement. For more advanced roles or research positions, a master’s or PhD in a relevant field can be beneficial.

Machine Learning and AI Expertise

In-depth knowledge of machine learning algorithms, neural networks, and AI methodologies is crucial.

Portfolio and Projects

Building a portfolio of AI projects to showcase your skills and practical experience.

Continuous Learning

Keeping up-to-date with the latest advancements in AI through research, courses, and industry trends.


Obtaining certifications from reputable organizations like Coursera, edX, or the International Data Science Institute can demonstrate your expertise.

Practical Experience

Gaining practical experience through internships, personal projects, or entry-level roles in data science or AI.

Working Hours and Environment:

AI Specialists typically work full-time hours in office or remote settings, engaging in research, data analysis, model development, testing, collaboration, documentation, continual learning, and communication with stakeholders.

Career Path & Progression:

A typical career path for an AI Specialist involves starting as a junior data scientist or AI engineer, progressing to mid-level roles involving model development and optimization, and potentially advancing to senior positions or specialized roles such as AI architect, machine learning researcher, data science manager, or AI consultant.