At a Glance
- Tasks: Design and operationalise AI/ML solutions for enterprise clients using cutting-edge technologies.
- Company: Join Accenture, a global leader in professional services and innovation.
- Benefits: Competitive salary, diverse work culture, and opportunities for growth.
- Other info: Collaborative environment with a focus on innovation and technology.
- Why this job: Make a real impact by solving complex business problems with AI and ML.
- Qualifications: Experience in machine learning and deploying models at scale is essential.
The predicted salary is between 72000 - 88000 £ 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 or equivalent.
BASIC (REQUIRED) QUALIFICATION
- Proven experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing.
- Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming.
- Hands-on experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks.
- Experience in building and deploying AI/ML based software to a cloud environment.
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.
- MS or PhD in related field preferred (computer science, engineering, etc.).
AI ML Computational Scientist in London employer: All The Top Bananas
Accenture is an exceptional employer for AI/ML Computational Scientists, offering a dynamic work culture that fosters innovation and collaboration. With a commitment to employee growth, you will have access to cutting-edge technology and diverse projects that challenge your skills while working alongside industry leaders in a supportive environment. Located globally, Accenture provides unique opportunities to engage with clients across various sectors, ensuring that your contributions make a meaningful impact.
