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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Computational Science Senior Analyst - **Company:** Accenture - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Big Data, C++ (Programming Language), Computer Programming, Computer Engineering, DevOps, R (Programming Language), Python (Programming Language), Machine Learning, Language Modeling, Tensorflow, Standard Sql, Systems Architecture, Data Storage Management, Pytorch, System Availability, Large Language Models, Deep Learning, Generative AI, Build Management, AI Platforms, Information Technology, Machine Learning Operations, Data Pipelines - **Published:** July 2, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=1f05e637d4b3bc0c ## About the Role * 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. * Work or coursework experience 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 ## Description 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 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., * 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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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