AI/ML Computational Scientist - Charing Cross

Salary: £61,000 - 101,000 per year

Requirements:

• Bachelors 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
• Experience applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
• Hands-on experience in distributed computing systems and architecture, including big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, and distributed networks
• Experience building and deploying AI/ML-based software to a cloud environment
• Proficiency in Python and Python-based AI/ML frameworks, with familiarity with relevant libraries and frameworks such as TensorFlow and PyTorch
• Experience working with language models and LLM APIs, and optimizing their usage for specific applications
• Experience with programming languages including Python, C++, Java, R, and SQL
• Strong written and verbal communication skills, with the ability to communicate complex technical concepts to non-technical stakeholders
• Strong client-facing skills in a consulting environment
• Strong cross-functional collaboration skills with the ability to work with internal and client-side teams
• Entrepreneurial mindset with curiosity and passion for emerging technology and driving innovation
• MS or PhD in a related field preferred, such as computer science or engineering

Responsibilities:

• Design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients
• Assess client needs and data, and select and customize models including Deep Learning, Generative AI, and Large Language Models
• Design scalable data and DevOps/MLOps pipelines for training and production
• Ensure 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 and MLOps
• Customize and apply Deep Learning and Gen AI models for different use cases based on business needs, data availability, system, and infrastructure requirements, including edge devices and HPC
• Engage in research and development of new AI and high-performance compute algorithms, models, and simulations and their applications to solve complex business problems at client sites
• Work with large-scale datasets and use 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 business and technical teams, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

Technologies:

• AI
• Big Data
• Cloud
• DevOps
• Support
• Java
• LLM
• Machine Learning
• MLOps
• Model Training
• PyTorch
• Python
• SQL
• TensorFlow
• UX UI Design

More:

We are Accenture, a leading global professional services company helping the worlds leading businesses, governments, and organizations build their digital core, optimize operations, accelerate revenue growth, and enhance citizen services. 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, and we combine our strength in cloud, data, and AI with unmatched industry experience, functional expertise, and global delivery capability. Our services span Strategy & Consulting, Technology, Operations, Industry X, and Song, supported by a culture of shared success and a commitment to creating 360 value for our clients, each other, our shareholders, partners, and communities. We believe our rich diversity makes us more innovative, competitive, and creative, and we are committed to equal employment opportunity.

last updated 39 week of 2026