Overview
About Us:
We are a forward-thinking organization committed to driving innovation across various industries through the power of Machine Learning (ML) and Artificial Intelligence (AI). Our projects span from enhancing technological solutions, optimizing operations, to creating sustainable and ethical AI practices. If you are a recent graduate eager to apply your ML knowledge and skills in real-world applications, we offer an exciting opportunity to kickstart your career in a dynamic, supportive, and innovative environment.
The Role:
As a Graduate Machine Learning Engineer, you will be part of a multidisciplinary team working on developing, implementing, and optimizing ML models to tackle diverse challenges. This role is perfect for individuals who have a strong foundation in ML/AI, programming, and data analysis, and are keen to apply their skills to contribute to meaningful projects.
Key Responsibilities:
• Design and implement ML models to solve industry-specific problems.
• Work… with large datasets: cleaning, preprocessing, and extracting features to prepare data for analysis.
• Collaborate with cross-functional teams to understand project requirements and deliver ML solutions that meet business needs.
• Stay updated with the latest ML technologies, frameworks, and best practices; actively participate in workshops and conferences related to ML and AI.
• Address ethical considerations in AI by ensuring fairness, privacy, and transparency in all ML models and data handling practices.
Requirements:
• Educational Background and Technical Proficiency:
• Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.
• Proficiency in Python or R, and familiarity with ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Understanding of software development practices and version control (e.g., Git).
• Foundational Machine Learning Knowledge:
• Strong grasp of ML concepts, algorithms, and model evaluation techniques.
• Demonstrated experience with ML projects, including data preprocessing, feature engineering, and model optimization.
• Analytical and Problem-Solving Skills:
• Ability to analyze large datasets and derive insights.
• Creativity and problem-solving aptitude in developing effective ML solutions.
• Communication Skills and Team Collaboration:
• Excellent communication skills for explaining ML findings to non-technical audiences.
• Proven experience in collaborative projects, showing effective teamwork and interdisciplinary coordination.
• Ethical Considerations and Industry Awareness:
• Awareness of ethical issues in AI/ML and a commitment to responsible AI practices.
• Keen interest in staying abreast of industry trends and emerging technologies in ML and AI.
What We Offer:
• Competitive salary of £30,000 per annum.
• A vibrant and inclusive work culture that fosters innovation and creativity.
• Opportunities for professional development and growth in the ML/AI field.
• Access to cutting-edge technology and resources for ML projects.
Job Type: Full-time
Salary: £30,000.00 per year
Work Location: In person
Company:
B-Spatial
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
