AI/ML Computational Scientist Manager

Accenture UK; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Accenture UK is seeking an AI/ML Computational Scientist to design, build and operationalize AI and machine learning solutions for enterprise clients. You will tailor models (including Deep Learning, Generative AI, and LLMs) and architect scalable data and MLOps pipelines for training and production.

You will work across client teams, handle large datasets, implement efficient storage and retrieval for models, and communicate the value of AI approaches to business stakeholders, ensuring

Qualifications

• Proven experience deploying ML models in production at scale.
• Experience with distributed computing and cloud environments.
• Strong communication with non-technical stakeholders.

Responsibilities

• Formulate real-world problems into scalable AI and Machine Learning solutions.
• Develop and deploy ML models and data pipelines with DevOps & MLOps.
• Apply Deep Learning and Gen AI models for business needs, including edge devices and HPC.
• Engage in research and development of new AI algorithms and simulations for client work.
• Handle large-scale datasets with data preprocessing for high-quality inputs.
• Implement data storage and retrieval mechanisms for models and knowledge.
• Justify the value of model approaches in business terms.
• Collaborate with business and technical teams to deliver end-to-end production.

Skills

Machine learning

Deep learning

MLOps

DevOps

Cloud computing

Edge computing

HPC

Quantitative modeling

Education

Bachelor's degree

Tools

TensorFlow

PyTorch

Python

C++

Java

R

SQL

AWS

Azure

Job description

YOU ARE

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 MLOps/LLMOps 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.
• Considerable experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming.
• 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.)

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.