About Company
Pioneering the next generation of intelligent solutions, Hiring.zycto is at the forefront of leveraging advanced machine learning to solve complex real-world challenges. For a Machine Learning Developer passionate about building robust predictive systems, our dynamic environment offers unparalleled opportunities to innovate and see your work come to life. We foster a culture of curiosity, collaboration, and continuous learning, providing the resources and support needed to push the boundaries of AI. Join us and contribute to impactful projects that redefine industry standards, working alongside a talented team dedicated to making a tangible difference.
Job Description
Hiring.zycto is actively seeking an exceptional Machine Learning Developer specializing in Predictive Systems to join our innovative and growing team in Edinburgh. This is a crucial opportunity to significantly influence the future of intelligent decision-making by designing, developing, and deploying cutting-edge machine learning models. You will be instrumental in building robust predictive engines that drive our core products and services, translating complex datasets into actionable insights and strategic advantages across various business functions. We are looking for someone who is not only proficient in the technical aspects of ML but also possesses a keen understanding of how these systems integrate into broader enterprise solutions to deliver tangible business value.
In this pivotal role, you’ll find yourself at the dynamic intersection of data science, software engineering, and business strategy. Your day-to-day responsibilities will encompass deep dives into diverse, often large-scale datasets, crafting sophisticated algorithms, and meticulously evaluating model performance to ensure the highest levels of accuracy, reliability, and ethical compliance. You’ll work hands-on with high-volume, real-time data streams, developing scalable and resilient solutions that can adapt and learn over time. We expect you to not only implement pre-defined models but also to contribute significantly to the architectural design of our ML pipelines and infrastructure, ensuring they are efficient, maintainable, secure, and future-proof. This includes selecting appropriate technologies, designing data schemas, and establishing best practices for model lifecycle management.
You will collaborate closely with data scientists, fellow software engineers, and product managers to understand evolving business requirements, define precise technical specifications, and integrate advanced ML solutions seamlessly into our existing and future platforms. This role covers the full lifecycle of ML model development, from initial data exploration and rigorous feature engineering to model training, validation, deployment, and ongoing monitoring in production environments. We highly value a proactive approach, encouraging you to research new technologies, experiment with novel machine learning techniques, and bring fresh, innovative ideas to the table to continuously improve our predictive capabilities. If you thrive in a challenging, fast-paced environment where your technical contributions directly impact product innovation and operational efficiency, and you’re eager to solve complex real-world problems with elegant and powerful ML solutions, then we strongly encourage you to apply. This role offers an unparalleled chance to grow your expertise within a supportive and forward-thinking team dedicated to pushing the boundaries of what’s possible with artificial intelligence.
Key Responsibilities
- Design, develop, and deploy scalable machine learning models and predictive systems from conception to production.
- Build and maintain robust, high-performance data pipelines for training, inference, and real-time data processing.
- Collaborate with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
- Conduct research and experimentation with new ML algorithms and techniques to enhance existing models and develop innovative features.
- Optimize model performance, reliability, and computational efficiency through continuous monitoring and iteration.
- Ensure data quality, integrity, and adherence to best practices in data governance and security.
- Develop and maintain MLOps practices, including model versioning, testing, and automated deployment.
- Contribute to the architectural design and evolution of our machine learning platform and infrastructure.
Required Skills
- Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of machine learning algorithms, statistical modeling, and predictive analytics.
- Experience with data manipulation and analysis tools (e.g., Pandas, NumPy) and SQL.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes).
- Proficiency with version control systems, especially Git.
- Demonstrated ability to develop, deploy, and maintain machine learning models in production environments.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
Preferred Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or a related quantitative field.
- Experience with big data technologies (e.g., Apache Spark, Kafka).
- Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow).
- Knowledge of deep learning architectures and techniques.
- Experience in a specific domain where predictive systems are critical (e.g., finance, healthcare, e-commerce).
- Contributions to open-source projects or relevant publications.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and public holidays.
- Opportunities for professional development, including conferences and training courses.
- Modern office environment with state-of-the-art tools and equipment.
- Collaborative and inclusive company culture.
- Company pension scheme.
- Regular team social events.
How to Apply
To apply for this exciting opportunity as a Machine Learning Developer – Predictive Systems, please click the application link below. Ensure your resume highlights your experience with machine learning, predictive systems, and relevant projects. We look forward to reviewing your application and potentially welcoming you to our innovative team at Hiring.zycto.