Machine Learning Engineer

JR United Kingdom; City of Edinburgh; On-site; GBP 40,000 - 80,000; Full time

Job summary

An innovative firm is looking for a talented Machine Learning Engineer to join their dynamic team. In this role, you will design, develop, and deploy machine learning models that tackle complex problems and enhance product offerings. You will work with large datasets, collaborate with cross-functional teams, and stay at the forefront of machine learning advancements. This position offers an exciting opportunity to make a significant impact in a rapidly evolving field, where your expertise will contribute to cutting-edge solutions and drive the future of technology.

Qualifications

• Strong background in machine learning and data analysis.
• Experience with machine learning frameworks and data visualization tools.

Responsibilities

• Develop and implement machine learning algorithms and models.
• Collaborate with teams to integrate machine learning solutions.

Skills

Machine Learning

Data Analysis

Software Development

Problem-Solving

Education

Bachelor's Degree in Computer Science

Master's Degree in Data Science

Tools

TensorFlow

Keras

PyTorch

Pandas

NumPy

Matplotlib

Hadoop

Spark

Git

Job description

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Job Description: We are seeking a talented and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, data analysis, and software development. You will be responsible for designing, developing, and deploying machine learning models to solve complex problems and improve our products.

Key Responsibilities:

• Develop and implement machine learning algorithms and models.
• Analyze large datasets to extract meaningful insights.
• Collaborate with cross-functional teams to integrate machine learning solutions.
• Optimize and maintain existing machine learning models.
• Stay updated with the latest trends and advancements in machine learning and AI.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proficiency in programming languages such as Python, R, or Java.
• Strong understanding of mathematics and statistics.
• Experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
• Knowledge of data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib).
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a team.

Preferred Qualifications:

• Experience with natural language processing (NLP) techniques.
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud).
• Experience with version control systems (e.g., Git).