About Company
Career.zycto is at the forefront of innovation, empowering businesses to harness the transformative power of data. We’re a dynamic consultancy driven by a passion for solving complex challenges with cutting-edge artificial intelligence and machine learning solutions. For a Machine Learning Consultant, this means access to diverse projects across various sectors, pushing the boundaries of what’s possible. Join a collaborative environment where your expertise is valued, your ideas are heard, and your professional growth is a priority. We thrive on intellectual curiosity and deliver measurable impact for our clients.
Job Description
Career.zycto is seeking a highly skilled and passionate Machine Learning Consultant to join our innovative team in Edinburgh. This is an exceptional opportunity for an experienced professional to leverage their expertise in AI and ML to drive significant business transformation for our diverse client base. If you are driven by complex challenges, thrive in a dynamic consulting environment, and are eager to shape the future with data-driven insights, we invite you to apply.
As a Machine Learning Consultant, you will play a pivotal role in designing, developing, and deploying cutting-edge machine learning solutions. You will work closely with clients across various industries, from initial problem definition and data strategy to model development, deployment, and ongoing optimization. Your work will directly contribute to enhancing operational efficiency, uncovering new revenue streams, and providing competitive advantages through intelligent systems. This role demands a blend of technical prowess, strategic thinking, and excellent client-facing skills, enabling you to translate complex technical concepts into clear business value. You will be instrumental in guiding clients through their AI journey, ensuring robust and ethical implementation of ML solutions that deliver tangible and measurable impact.
Key Responsibilities
- Lead discovery sessions with clients to understand business challenges and translate them into actionable ML use cases.
- Design, develop, and implement robust machine learning models and algorithms (e.g., supervised, unsupervised, reinforcement learning) for various applications.
- Perform extensive data analysis, feature engineering, and data preprocessing to prepare datasets for model training.
- Evaluate model performance, interpret results, and communicate findings effectively to technical and non-technical stakeholders.
- Architect and implement scalable MLOps pipelines for model deployment, monitoring, and retraining.
- Collaborate with data engineers, software developers, and business analysts to integrate ML solutions into existing client systems.
- Provide strategic advice on AI/ML adoption, data governance, and ethical AI practices to clients.
- Stay abreast of the latest advancements in machine learning, artificial intelligence, and related technologies, applying new insights to client projects.
- Mentor junior team members and contribute to the internal knowledge base and thought leadership initiatives.
- Prepare and deliver compelling presentations, proposals, and reports to client executives and project teams.
Required Skills
- Proven experience (4+ years) in machine learning engineering, data science, or a related consulting role.
- Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
- Solid understanding of various machine learning algorithms, statistical modeling, and predictive analytics.
- Experience with cloud platforms (AWS, Azure, GCP) for building and deploying ML solutions.
- Proficiency in SQL for data querying and manipulation.
- Excellent problem-solving skills and ability to approach complex business problems with a data-driven mindset.
- Strong communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences.
- Demonstrated experience in the full ML lifecycle, from data acquisition to model deployment and monitoring.
Preferred Qualifications
- Master's or Ph.D. in Computer Science, AI, Machine Learning, Statistics, or a related quantitative field.
- Experience with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow, Airflow).
- Familiarity with big data technologies (e.g., Spark, Hadoop).
- Prior consulting experience in a client-facing role.
- Publications or contributions to open-source ML projects.
- Certifications in cloud ML services (e.g., AWS Certified Machine Learning Specialty).
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Generous paid time off, including public holidays and extended parental leave.
- Comprehensive health, dental, and vision insurance plans.
- Flexible hybrid work model promoting work-life balance.
- Professional development budget for conferences, courses, and certifications.
- Opportunities for career advancement within a rapidly growing firm.
- Vibrant office culture in the heart of Old Town, Edinburgh with regular social events.
- Pension contribution scheme.
- Access to cutting-edge tools and technologies.
- Cycle to Work scheme.
How to Apply
Ready to make a significant impact? We encourage all qualified candidates to click on the application link below to submit their resume and a cover letter detailing their experience and why they are a great fit for Career.zycto. We look forward to reviewing your application!
