Recruiters of Artificial Intelligence and Machine Learning roles
(AI & ML Recruitment)

Navigate the AI Talent Shortage with Langley James: Your Gateway to Innovation

The demand for AI and Machine Learning (AI/ML) professionals is skyrocketing, while qualified talent remains scarce. At Langley James, we bridge this gap, leveraging our extensive network of top-tier AI/ML experts to help you secure the talent that fuels innovation.

Why Choose Langley James for Your AI/ML Recruitment Needs?

• Curated Network: We cultivate a deep understanding of the AI/ML landscape, allowing us to connect you with cutting-edge researchers and engineers seeking to push the boundaries of their field. With Langley James, you gain access to talent at the forefront of innovation.
• Impactful Outcomes: We recognise the significant role AI plays in socioeconomic development. Our unwavering commitment is to secure top talent and facilitate the advancement of this groundbreaking technology for the benefit of our clients and society.
• Future-Proof Your Workforce: AI/ML jobs are here to stay, and we’re here to help you navigate this evolving landscape. We assist you in filling vital roles like AI researchers, engineers, and machine learning specialists, ensuring your team is equipped for the future.

Don’t let the talent shortage hinder your AI/ML aspirations. Partner with Langley James and gain access to the experts who will unlock your innovation potential.

AI and MI Job Titles in High Demand:

Technical Roles:

• Data Scientist: Analyzes large datasets to identify patterns, trends, and insights. Drives informed decision-making using AI techniques.
• Machine Learning Engineer: Builds, trains, and deploys machine learning models for specific tasks or applications.
• AI Researcher: Explores, develops, and improves AI algorithms and models, pushing the boundaries of the field.
• Deep Learning Engineer: Specializes in developing and optimizing deep learning models for complex tasks like image recognition or natural language processing.
• Natural Language Processing (NLP) Engineer: Designs and implements models that enable machines to understand and process human language.
• Algorithm Engineer: Crafts intricate algorithms for AI and machine learning systems to meet specific business objectives.
• Robotics Engineer: Develops and implements robots for various applications, often incorporating AI for decision-making.
• Computer Vision Engineer: Builds systems that enable machines to “see” and interpret visual information.
• AI Infrastructure Engineer: Designs and manages the hardware and software systems that support AI applications.

Non-Technical Roles:

• AI Product Manager: Drives the development and implementation of AI-powered products, prioritizing user needs and business goals.
• AI Strategist: Develops and implements an organization’s overall AI strategy, aligning it with business objectives.
• AI Ethicist: Ensures AI is developed and used responsibly, considering ethical implications and potential biases.
• AI Policy Analyst: Develops and analyzes policies related to AI development and deployment.
• AI Content Writer: Creates compelling content about AI for various audiences, from technical blogs to marketing materials.
• AI Business Analyst: Identifies opportunities to leverage AI within an organization and analyzes the potential impact.
• Data & AI Literacy Specialist: Educates and empowers employees to understand and use AI effectively.

Emerging Roles:

• Language Model Trainer: Curates and develops datasets to fine-tune large language models for specific applications.
• Explainable AI (XAI) Specialist: Makes AI models more transparent and understandable, building trust and ensuring fairness.
• AI Safety Engineer: Identifies and mitigates risks associated with deploying AI systems

Ready to discuss your specific needs? Contact us today!