About Company
Eager to push the boundaries of artificial intelligence? At Career.zycto, we are pioneering advanced machine learning solutions that transform industries. We believe in fostering a dynamic, collaborative environment where innovation thrives and big ideas become reality. Our team in Reading is at the forefront of developing scalable, intelligent systems, offering unparalleled opportunities for Machine Learning Engineers to work on cutting-edge projects from conception to deployment. Join us and contribute to a culture that values creativity, technical excellence, and continuous learning, making Career.zycto the perfect launchpad for your next career chapter in AI.
Job Description
Career.zycto is seeking a passionate and highly skilled Machine Learning Engineer to join our innovative team in Reading, England. In this pivotal role, you will be instrumental in designing, developing, and deploying advanced machine learning models and algorithms that drive our core product offerings and internal capabilities. You will work within a collaborative environment, translating complex business problems into actionable ML solutions, and ensuring the robust, scalable, and efficient operation of our AI infrastructure. This is an exciting opportunity to contribute to a company that is committed to leveraging artificial intelligence to solve real-world challenges, offering significant scope for technical growth and impact. We are looking for an individual who is not only proficient in ML techniques but also possesses a strong understanding of software engineering principles, capable of building production-ready systems. Your expertise will directly influence our product roadmap and strategic initiatives, making this a high-impact position for a proactive and detail-oriented engineer eager to make their mark in the AI landscape.
Key Responsibilities
- Design, develop, and implement robust and scalable machine learning models and algorithms from concept to production.
- Build, optimize, and maintain end-to-end ML pipelines, covering data ingestion, feature engineering, training, and inference.
- Collaborate with cross-functional teams to translate business requirements into effective, measurable ML solutions.
- Evaluate and recommend appropriate ML frameworks, tools, and cloud services for optimal performance and deployment.
- Monitor deployed ML models in production, troubleshoot issues, and implement continuous improvements and retraining strategies.
- Conduct rigorous experimentation, analysis, and validation of models, communicating findings clearly to stakeholders.
- Stay abreast of the latest advancements in AI/ML, actively exploring and applying innovative techniques.
Required Skills
- Minimum of 3 years of professional experience as a Machine Learning Engineer or similar role.
- Exceptional proficiency in Python and core ML libraries (TensorFlow, PyTorch, scikit-learn).
- Deep understanding of machine learning algorithms, statistical modeling, and data structures.
- Proven experience with MLOps practices, including model deployment, monitoring, and CI/CD.
- Practical experience with major cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Strong analytical and problem-solving skills, capable of delivering effective solutions independently and in a team.
- Bachelor's or Master's degree in Computer Science, AI, or a related quantitative field.
Preferred Qualifications
- Experience with big data processing technologies like Apache Spark or Hadoop.
- Specialized knowledge in specific ML domains (e.g., NLP, Computer Vision, time-series).
- Contributions to open-source ML projects or publications in relevant conferences.
- Familiarity with designing A/B tests and experimentation for model validation.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health and wellness package.
- Generous paid time off and flexible working arrangements.
- Opportunities for professional development, training, and conference attendance.
- Modern office environment with collaborative workspaces and amenities.
- Company pension scheme and life assurance.
- Regular social events and team-building activities.
How to Apply
Ready to innovate with us? If you’re a forward-thinking Machine Learning Engineer eager to make a significant impact, we encourage you to apply today! Please click on the application link below to submit your resume and cover letter. We look forward to reviewing your application and exploring how your skills can contribute to Career.zycto’s success.
