JOB OVERVIEW

We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, artificial intelligence, and data analysis. You will be responsible for designing, implementing, and optimising machine learning models and algorithms to solve complex problems and enhance our products. Your expertise in programming languages and data processing frameworks will be crucial in driving innovation within our organisation.

REQUIREMENTS

• Proven experience in machine learning or a related field.
• Proficiency in programming languages including Python, Java, C, R, and VBA.
• Familiarity with big data technologies such as AWS, Hadoop, Spark, and SQL.
• Strong understanding of database design principles.
• Experience with data analysis tools like SAS and data mining techniques.
• Knowledge of Bash (Unix shell) for scripting tasks.
• Excellent problem-solving skills with the ability to work independently or as part of a team.
• Strong communication skills to effectively convey technical concepts to non-technical stakeholders. If you are passionate about leveraging technology to drive advancements in machine learning and AI, we encourage you to apply for this exciting opportunity.
  Job Type: Part-time
  Pay: £20.00 per hour
  Expected hours: 1 – 4 per week

Benefits:

• Work from home

Work Location: Hybrid remote in Weybridge KT13 9U

• Develop and implement machine learning models to analyse large datasets and extract meaningful insights.
• Collaborate with cross-functional teams to define project requirements and deliver solutions that meet business needs.
• Utilise tools such as TensorFlow, Spark, and Hadoop for data processing and model training.
• Conduct data mining activities to identify trends, patterns, and anomalies within datasets.
• Design and maintain databases to ensure efficient data storage and retrieval.
• Write clean, maintainable code in languages such as Python, Java, C, and R.
• Implement natural language processing techniques to enhance AI capabilities.
• Perform testing and validation of models to ensure accuracy and reliability.
• Document processes, methodologies, and findings for future reference.