About Company
At the forefront of innovation, Career.zycto empowers businesses through cutting-edge talent acquisition. We champion environments where machine learning pioneers can thrive, pushing boundaries and shaping the future. This role offers an unparalleled opportunity to contribute to transformative AI projects, collaborating with a passionate team dedicated to measurable impact. Join us in building intelligent solutions that redefine industries and create lasting value, fostering your growth in a supportive and dynamic setting.
Job Description
Are you a visionary Machine Learning Developer eager to make a tangible impact? Career.zycto is seeking a talented and driven individual to join a dynamic team in Glasgow’s vibrant Byres Road area. This is an exceptional opportunity to dive deep into complex data, craft innovative algorithms, and deploy intelligent solutions that drive real-world business outcomes. We’re looking for someone who breathes data science, loves problem-solving, and is passionate about transforming raw information into actionable insights.
In this role, you will be instrumental in the end-to-end lifecycle of machine learning models, from initial research and experimentation to deployment and ongoing optimization. You will work on diverse projects, tackling challenges in areas such as predictive analytics, natural language processing, computer vision, and recommendation systems. Your expertise will directly influence strategic decisions, enhance product offerings, and improve operational efficiencies for our clients. This isn’t just about writing code; it’s about pioneering solutions that genuinely move the needle.
We operate in a fast-paced, collaborative environment where continuous learning and knowledge sharing are highly encouraged. You’ll have access to state-of-the-art tools and technologies, working alongside seasoned professionals who are passionate about their craft. Expect to engage in stimulating discussions, contribute to architectural design, and present your findings to both technical and non-technical stakeholders. If you’re someone who thrives on intellectual challenge, values autonomy, and is committed to delivering excellence, then this could be your next significant career move.
This position offers a unique chance to grow your skill set, contribute to high-visibility projects, and be a key player in shaping the future of AI-driven solutions. We believe in fostering a culture where every team member feels empowered to innovate, experiment, and bring their best ideas to the table. If you’re ready to build, iterate, and deploy impactful machine learning systems, we encourage you to apply and help us push the boundaries of what’s possible.
Key Responsibilities
- Design, develop, and deploy robust machine learning models and algorithms.
- Perform data exploration, feature engineering, and data preprocessing to prepare datasets for model training.
- Evaluate model performance, conduct A/B testing, and implement strategies for continuous improvement.
- Collaborate with data scientists, software engineers, and product managers to integrate ML solutions into production systems.
- Research and experiment with new machine learning techniques, tools, and technologies.
- Develop and maintain scalable ML pipelines and infrastructure.
- Communicate complex technical concepts and results to both technical and non-technical audiences.
- Ensure the ethical and responsible deployment of AI solutions, adhering to best practices and regulatory guidelines.
- Participate in code reviews, contribute to technical documentation, and mentor junior team members.
Required Skills
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
- Strong understanding of machine learning principles, algorithms (e.g., supervised, unsupervised, reinforcement learning), and statistical modeling.
- Experience with data manipulation, cleaning, and feature engineering techniques.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for ML model deployment and scaling.
- Solid grasp of software development best practices, including version control (Git) and testing.
- Demonstrated ability to develop and deploy machine learning models in production environments.
- Excellent problem-solving skills and analytical thinking.
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., Spark, Hadoop).
- Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow).
- Knowledge of natural language processing (NLP) or computer vision techniques.
- Experience working in an Agile/Scrum development environment.
- Contributions to open-source projects or relevant publications.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health and wellness benefits package.
- Generous paid time off and flexible working arrangements.
- Opportunities for professional development, including conferences and certifications.
- Access to cutting-edge technology and research resources.
- Collaborative and inclusive work environment.
- Pension scheme.
- Regular team social events and activities.
How to Apply
Interested candidates are encouraged to apply by clicking the link below. Please submit your resume and a cover letter outlining your experience and why you are a great fit for this role. We look forward to reviewing your application!
