Senior AI/ML Computational Scientist

Accenture PLC; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Accenture PLC in London seeks a Senior AI/ML Computational Scientist to design, build, and deploy enterprise AI solutions, combining custom models with cloud services to deliver production-ready outcomes.

The role spans the full lifecycle, from problem framing and data assessment to model selection, MLOps pipelines, validation, and collaboration with clients and cross-functional teams to drive measurable business value.

Qualifications

• Significant experience deploying models in production at scale, including monitoring and auditing.
• Extensive knowledge of computer science foundations, systems engineering, and programming.
• Experience with distributed computing, big data, HPC, and cloud computing.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop ML algorithms and data pipelines for training and production with DevOps & MLOps.
• Customize Deep Learning and Gen AI models to meet business needs.
• Engage in R&D of new AI algorithms and simulations for client applications.
• Work with large-scale datasets and ensure high-quality data inputs.
• Implement and maintain data storage and retrieval for models and knowledge.
• Justify model approaches in business terms.
• Collaborate with business and technical teams to deliver end-to-end projects.

Skills

ML engineering

Distributed computing

Python

MLOps

Communication

Education

MS or PhD in computer science or related field

Tools

TensorFlow

PyTorch

LLMs APIs

Python

C++

Job description

Senior AI/ML Computational Scientist

Career Level: Senior Manager / Associate Director

YOU ARE

As a senior 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

• Significant experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.
• Extensive experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
• Well versed in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks
• Established 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.)