Trainee AI Specialist
| Posting date: | 29 December 2025 |
|---|---|
| Salary: | £25,000 to £30,000 per year |
| Hours: | Full time |
| Closing date: | 28 January 2026 |
| Location: | London, UK |
| Remote working: | Hybrid - work remotely up to 5 days per week |
| Company: | Nxsteprecuitment |
| Job type: | Permanent |
| Job reference: |
Summary
Trainee AI Specialist
Job Description
We are seeking motivated individuals to join our team as AI Specialist Trainees. This entry-level role is perfect for those eager to build a career in AI and machine learning, specializing in the development and application of cutting-edge AI technologies. As an AI Specialist Trainee, you will collaborate with experienced AI professionals to design, develop, and optimize AI systems under expert guidance.
Key Responsibilities
Support the creation and testing of AI models for tasks like natural language processing or image recognition.
Assist in data collection, preprocessing, and analysis to ensure high-quality datasets.
Write and debug code for AI applications using Python and frameworks like TensorFlow or PyTorch.
Help deploy AI models in controlled environments and monitor performance.
Contribute to research on new AI techniques and tools.
Participate in team discussions to refine AI project goals and deliverables.
Qualifications
Bachelor’s degree (or pursuing) in Computer Science, Artificial Intelligence, Engineering, or a related field.
Proficiency in Python programming; familiarity with R, Java, or C++ is a plus.
Basic understanding of AI/ML concepts (e.g., neural networks, deep learning) preferred but not mandatory.
Strong analytical and problem-solving skills with a keen interest in AI.
Ability to work in a collaborative, fast-paced team setting.
No prior AI work experience required—comprehensive training provided.
Nice-to-Have Skills
Knowledge of data manipulation libraries (e.g., Pandas, Scikit-learn).
Familiarity with version control systems like Git.
Exposure to AI deployment platforms (e.g., AWS SageMaker, Azure AI).
Benefits
Structured mentorship and hands-on AI training programs.
Competitive health, dental, and vision insurance plans.
Flexible work schedules and [remote/hybrid] options.
Clear career path to roles like AI Specialist or Machine Learning Engineer.
Access to AI certifications and professional development resources.
Job Description
We are seeking motivated individuals to join our team as AI Specialist Trainees. This entry-level role is perfect for those eager to build a career in AI and machine learning, specializing in the development and application of cutting-edge AI technologies. As an AI Specialist Trainee, you will collaborate with experienced AI professionals to design, develop, and optimize AI systems under expert guidance.
Key Responsibilities
Support the creation and testing of AI models for tasks like natural language processing or image recognition.
Assist in data collection, preprocessing, and analysis to ensure high-quality datasets.
Write and debug code for AI applications using Python and frameworks like TensorFlow or PyTorch.
Help deploy AI models in controlled environments and monitor performance.
Contribute to research on new AI techniques and tools.
Participate in team discussions to refine AI project goals and deliverables.
Qualifications
Bachelor’s degree (or pursuing) in Computer Science, Artificial Intelligence, Engineering, or a related field.
Proficiency in Python programming; familiarity with R, Java, or C++ is a plus.
Basic understanding of AI/ML concepts (e.g., neural networks, deep learning) preferred but not mandatory.
Strong analytical and problem-solving skills with a keen interest in AI.
Ability to work in a collaborative, fast-paced team setting.
No prior AI work experience required—comprehensive training provided.
Nice-to-Have Skills
Knowledge of data manipulation libraries (e.g., Pandas, Scikit-learn).
Familiarity with version control systems like Git.
Exposure to AI deployment platforms (e.g., AWS SageMaker, Azure AI).
Benefits
Structured mentorship and hands-on AI training programs.
Competitive health, dental, and vision insurance plans.
Flexible work schedules and [remote/hybrid] options.
Clear career path to roles like AI Specialist or Machine Learning Engineer.
Access to AI certifications and professional development resources.