At a Glance
- Tasks: Design and build AI/ML solutions for real-world problems using cutting-edge technologies.
- Company: Join a forward-thinking tech company that values innovation and diversity.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on creativity and entrepreneurial spirit.
- Why this job: Make a tangible impact by solving complex business challenges with AI and ML.
- Qualifications: Experience in machine learning engineering and proficiency in Python and relevant frameworks.
The predicted salary is between 60000 - 80000 £ per year.
As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.
THE WORK
- Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions.
- Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps.
- Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC.
- Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites.
- Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production.
- Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools.
- Justify the value of model approaches in business problems.
- Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production.
EDUCATION
Bachelor's Degree in Computer Science, Computer Engineering, Data Science, or a related field.
BASIC (REQUIRED) QUALIFICATION
- Work or coursework experience with machine learning engineering or machine learning science, deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing.
- Work or coursework experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming.
PREFERRED QUALIFICATION
- Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).
- Experience working with language models like LLM's APIs and optimizing their usage for specific applications.
- Experience with the following programming languages: Python, C++, Java, R, SQL.
- Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders.
- Strong client-facing skillsets in a consulting environment.
- Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams.
- Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation.
