AI/ML Computational Scientist Manager

Accenture PLC; Greater London; Híbrido; GBP 90.000 - 140.000; Jornada completa

Descripción de la vacante

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

You will own the full solution lifecycle from problem framing to deployment, including data prep, model training, MLOps pipelines, and cross-functional collaboration with clients and engineering teams.

Formación

• Proven experience deploying ML models to production at scale.
• Strong CS foundations and experience with distributed compute.
• Experience deploying AI/ML software to cloud environments.

Responsabilidades

• Translate real-world problems into scalable AI/ML solutions.
• Develop algorithms and data pipelines to support training and production with DevOps & MLOps.
• Customize DL and Gen AI models for business needs, including edge/HPC.
• Join R&D on new AI and HPC algorithms and apply to client problems.
• Work with large-scale data and preprocessing for high-quality model input.
• Implement storage/retrieval for models and knowledge.
• Justify model approaches in business terms.
• Collaborate with diverse teams to deliver end-to-end projects.

Conocimientos

ML model deployment

Distributed computing

Cloud-based AI/ML

DevOps / MLOps

Communication with stakeholders

Educación

Bachelor's Degree or equivalent

Herramientas

TensorFlow

PyTorch

Python

LLM APIs

Descripción del empleo

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.)