Artificial Intelligence Engineer

We are seeking a talented Artificial Intelligence Engineer to join our dynamic team in Cambridge. The ideal candidate will have a robust background in machine learning algorithms, natural language processing, and data analysis, with a passion for developing innovative AI-based solutions.

Category: Information Technology (IT) and Software Development - Artificial Intelligence and Machine Learning
Full-time

• £45,000 - £65,000 / Year

Closing Date: 2024-11-21
Location: Cambridge

• Evaluate and implement machine learning frameworks and tools.
• Collaborate with data engineers to streamline data collection and processing.
• Develop prototypes and proof-of-concept applications using AI.
• Stay updated with the latest advancements in AI and machine learning.
• Assist in project planning and timeline estimation.

• Bachelor's degree in Computer Science, Data Science, or a related field
• Master's degree preferred
• Python Strong Python programming skills with experience in machine learning libraries.
• TensorFlow Proficient in TensorFlow for developing and training AI models.
• Natural Language Processing Experience in NLP techniques and their applications.
• Data Analysis Strong analytical skills with experience in data manipulation and visualization.
• Machine Learning Algorithms In-depth knowledge of various machine learning algorithms and their applications.
• Critical Thinking Excellent problem-solving and analytical skills.
• Team Collaboration Ability to work effectively with diverse teams.
• Communication Strong verbal and written communication skills.
• Certified Artificial Intelligence Practitioner
• AWS Certified Machine Learning – Specialty
• English (Fluent)

• Hands-on experience with GPU programming: Experience in programming with CUDA for accelerated computing.
• Understanding of ethical AI: Knowledge of ethical considerations and implications of AI solutions.

• Comprehensive health and wellness benefits
• Retirement plans with employer contributions
• Remote work options available
• Annual learning and development budget

• Diversity and Inclusion: A commitment to creating a diverse workforce and an inclusive culture.
• Work-Life Balance: We respect work-life balance and offer flexible scheduling to support our employees.

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