Role at a glance
- Job function
-
AI & Data Machine Learning Engineering AI Research & Applied Science
- Salary
- Not Disclosed
- Location
- London, United Kingdom
- Employment
- Full-time
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Role Summary
The AI/ML Computational Scientist designs, builds, and operationalizes AI and machine learning solutions for enterprise clients. The role spans assessing client needs and data, developing and customizing models, and supporting their deployment in production.
What You'll Do
- Translate real-world business problems into practical, efficient, and scalable AI and machine learning solutions.
- Develop machine learning algorithms, models, and computational systems, and build data pipelines for training and production.
- Customize and apply deep learning and generative AI models based on business needs, data availability, and system and infrastructure...
- Conduct research and development on AI and high-performance computing algorithms, models, and simulations for client business problems.
- Preprocess large-scale datasets and implement data storage and retrieval mechanisms for models and knowledge.
- Collaborate with business and technical stakeholders to integrate solutions into production, and justify the value of model approaches.
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View full postingQualifications
Required: Bachelor's degree or equivalent; 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 applying computer science foundations, including computer system architecture, systems engineering, and programming; experience with distributed computing systems and architecture, which may include big data, HPC, engineering simulations, scientific computing, grid and cloud computing, or distributed networks; and experience building and deploying AI/ML-based software to a cloud environment.
Preferred
- Proficiency in Python and Python-based AI/ML frameworks, with familiarity with relevant libraries and frameworks such as TensorFlow and...
- Experience working with language-model APIs, including LLM APIs, and optimizing their usage for specific applications.
- Experience with Python, C++, Java, R, and SQL.
- Strong written and 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 and ability to collaborate with internal and client-side teams.
- Entrepreneurial mindset, curiosity about emergent technology, and passion for driving innovation.
- MS or PhD in a related field preferred, such as computer science or engineering.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.)
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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.
About the company
Accenture
Large Enterprise
Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.