Description
Our client, a pioneering company focused on revolutionizing cancer cell detection through cutting-edge computer vision technology, is seeking a talented and experienced MLOps Engineer. They are looking for an enthusiastic individual to contribute their expertise in machine learning operations and play a vital role in shaping the future of healthcare technology. This contract position offers an exciting opportunity to make a significant impact, with the potential for extension based on project needs.
Responsibilities:
- Collaborate with data scientists and software engineers to deploy, manage, and optimize machine learning models for cancer cell detection using computer vision techniques.
- Develop and maintain robust pipelines for data ingestion, preprocessing, feature engineering, and model training.
- Implement scalable and efficient deployment strategies for machine learning models using containerization technologies such as Docker and orchestration tools like Kubernetes.
- Monitor model performance and implement strategies for continuous model improvement and retraining.
- Work closely with cross-functional teams to ensure seamless integration of machine learning solutions into existing infrastructure and applications.
- Maintain a strong focus on security, privacy, and compliance requirements in healthcare data management.
- Identify and address operational issues related to model deployment, monitoring, and scalability.
- Stay up-to-date with industry trends and emerging technologies in MLOps, computer vision, and healthcare.
Qualifications:
- Proven experience as an MLOps Engineer or in a similar role, preferably within the healthcare or life sciences domain.
- Strong proficiency in machine learning concepts and techniques, with hands-on experience in model development, deployment, and monitoring.
- Proficiency in programming languages such as Python, R, or Scala, and familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
- Solid understanding of containerization technologies (eg, Docker) and orchestration tools (eg, Kubernetes).
- Experience with cloud platforms such as AWS, Azure, or GCP, and knowledge of cloud-based machine learning services.
- Strong knowledge of DevOps practices, CI/CD pipelines, and automation tools (eg, Jenkins, GitLab, or Azure DevOps).
- Familiarity with data engineering concepts and tools for data preprocessing and manipulation.
- Excellent problem-solving skills and ability to thrive in a fast-paced, dynamic environment.
- Effective communication and collaboration skills, with the ability to work in cross-functional teams.
Contract Details:
- Initial contract duration: 3 to 6 months, with potential for extension.
- Competitive day rate: £500 - £750 per day, depending on experience and qualifications.
- Outside IR35: This role is classified as outside IR35.
- Location: London/Hybrid remote work is available, with occasional on-site collaboration required.
How to Apply:
If you are an enthusiastic and skilled MLOps Engineer with a passion for transforming healthcare through advanced technology, specifically in the field of computer vision for cancer cell detection, this exciting opportunity is for you. Join this leading company and contribute to the mission of reshaping the healthcare industry. Apply now!
Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates