Machine Learning Engineer

3 weeks ago

London Area, United Kingdom Tech Kinect Full time

Role Overview:

As a Machine Learning Engineer Contractor, you will be responsible for designing, developing, and implementing advanced machine learning models and algorithms to solve complex business problems. You will collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand project requirements, identify opportunities for applying machine learning techniques, and deliver high-quality solutions. Your expertise in machine learning, data analysis, and programming will be critical in driving the success of our projects.


Responsibilities:


Develop and implement machine learning models and algorithms to solve business problems, employing techniques such as supervised and unsupervised learning, deep learning, natural language processing, and computer vision.

Collaborate with stakeholders to define project requirements, identify data sources, and establish success criteria.

Conduct exploratory data analysis, data preprocessing, and feature engineering to optimize model performance.

Train, validate, and fine-tune machine learning models using appropriate frameworks and libraries.

Evaluate and compare the performance of different machine learning algorithms, selecting the most suitable approach for each project.

Implement scalable and efficient machine learning pipelines to handle large volumes of data.

Collaborate with software engineers to integrate machine learning models into production systems.

Monitor and evaluate model performance in real-world scenarios, and iterate on models as necessary to improve their accuracy and robustness.

Stay up-to-date with the latest advancements in machine learning and artificial intelligence, and proactively identify opportunities for innovation and improvement within the organization.

Document code, methodologies, and findings to ensure knowledge sharing and maintain high-quality standards.

Qualifications:


Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field.

Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a strong track record of delivering successful machine learning projects.

Proficiency in machine learning techniques and algorithms, such as regression, classification, clustering, and deep learning.

Hands-on experience with popular machine learning frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, or Keras.

Strong programming skills in languages such as Python, R, or Java.

Solid understanding of data manipulation, modeling, and analysis techniques.

Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.

Experience with cloud platforms and services (e.g., AWS, Azure, GCP) for machine learning model deployment and management is advantageous.

Excellent problem-solving abilities and attention to detail.

Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

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