Senior AI/ML Computational Scientist

WeAreTechWomen; Greater London; On-site; GBP 120,000 - 150,000; Full time

Job summary

Accenture seeks a Senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will combine custom models with cloud services to deliver production-ready outcomes across the full solution lifecycle.

You will work on Deep Learning, Generative AI, and LLMs, design scalable data pipelines, and ensure quality and value in deployed systems while collaborating with diverse teams.

Qualifications

• Significant experience deploying ML models to production at scale, with monitoring and auditing.
• Strong foundation in computer science, systems, and programming.
• Experience with big data, HPC, and cloud environments.
• Experience building AI/ML software for cloud deployment.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML algorithms and data pipelines with DevOps & MLOps.
• Customize Deep Learning and Gen AI models for client needs.
• Research new AI algorithms and high-performance compute methods.
• Work with large-scale datasets and data preprocessing for training.
• Implement data storage/retrieval mechanisms for models/knowledge.
• Justify model approaches in business contexts.
• Collaborate with business and technical teams to deliver end-to-end projects.

Skills

Python

TensorFlow

PyTorch

LLMs

Cloud computing

DevOps

MLOps

Distributed systems

C++

Java

R

SQL

Data preprocessing

Communication

Education

Bachelor's degree or equivalent

Tools

TensorFlow

PyTorch

Job description

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 andMLOps/LLMOpspipelines 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 Learningand Gen AI models for various use cases based on the business needs, data availability,systemand 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 andutilizedata preprocessing techniques to ensure high-quality input for training and production
• Implement andmaintainefficient data storage and retrieval mechanisms for models and knowledge usingappropriate 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

Qualification

EDUCATION

• Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

• Significant experience as a machine learning engineer or scientist, deploying models in production atscale ,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

• Proficiencyin Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch).
• Experience working with language models like LLM's APIs andoptimizingtheir 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.)

Locations

London

Additional Information

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World's Best Workplaces.

Join Accenture to work at the heart of change. Visit us at www.accenture.com .