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Working at Accenture UK

  • Company employees
    15,000

Hiring in

  • Global

Office locations

Join Accenture as a Senior AI/ML Computational Scientist (Senior Manager / Associate Director level) in London, United Kingdom. In this full-time role, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, managing the full solution lifecycle from client assessment to production deployment.

Requirements

  • Bachelor's Degree or equivalent required; MS or PhD preferred.
  • Significant experience deploying machine learning models in production at scale, including monitoring and auditing.
  • Extensive experience in computer science foundations, distributed computing, and cloud environments.
  • Preferred skills include proficiency in Python, TensorFlow, PyTorch, C++, Java, R, SQL, and working with LLMs.

Skills & Responsibilities

  • Python and Frameworks: Build and implement custom machine learning algorithms and computational systems using Python, TensorFlow, and PyTorch to solve complex business problems.
  • MLOps and Cloud: Design and build scalable data pipelines and deployment workflows utilizing MLOps, DevOps, and cloud environments to support model training and production.
  • GenAI and Deep Learning: Customize and apply Deep Learning and Generative AI models, including LLM APIs, tailored to specific business needs and infrastructure requirements.
  • Cross-functional Collaboration: Partner with business owners, engineers, architects, and UI designers to ensure end-to-end project success and integrate solutions into production.
  • Potential transition routes: People from Data Science, Software Engineering, or Applied Research roles may bring strong programming and analytical skills, alongside meeting the core machine learning and distributed computing requirements.

Job description

Senior AI/ML Computational Scientist

Career Level: Senior Manager / Associate Director

#LI-UKI #LI-EU #LI-MP

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

Apply now
Accenture UK

Senior AI/ML Computational Scientist

London
-
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.)

    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.

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