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Accenture UK & Ireland

AI/ML Junior Computational Scientist

Accenture UK & Ireland
United Kingdom · Full-time · Entry

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 DevOps & MLOps 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 in Computer Science, Computer Engineering, Data Science, or a related field


  • Basic (required) Qualification


  • Work or coursework experience with machine learning engineering or machine learning science, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.
  • Experience (work or coursework) in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming


  • 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
  • Key Skills

    Ranked by relevance

    machine learning ai python deep learning devops mlops artificial intelligence tensorflow storage pytorch cloud java sql ui c
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    Posted
    Jun 30, 2026
    Type
    Full-time
    Level
    Entry
    Location
    London

    Industries

    IT Services IT Consulting

    Categories

    Research Analyst Information Technology

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