About this role
Salary: £50,000 - 75,000 per year
Requirements: Bachelors degree or equivalentSignificant experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing, and auditingExtensive experience applying theoretical foundations of computer science, including computer system architecture, system engineering, and programmingWell versed in distributed computing systems and architecture, which may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, and distributed networksEstablished experience building and deploying AI/ML-based software to a cloud environmentProficiency in Python and Python-based AI/ML frameworks, with familiarity in relevant libraries and frameworks such as TensorFlow and PyTorchExperience working with language models and LLM APIs, and optimizing their usage for specific applicationsExperience with programming languages such as Python, C++, Java, R, and SQLStrong written and verbal communication skills, with the ability to communicate complex technical concepts to non-technical stakeholdersStrong client-facing skillsets in a consulting environmentStrong cross-functional skills with the ability to collaborate with a variety of internal and client-side teamsEntrepreneurial mindset with curiosity and passion for emergent technology and driving innovationMS 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 clientsAssess client needs and data, and select, customize, and apply models including Deep Learning, Generative AI, and Large Language ModelsDesign scalable data and MLOps/LLMOps pipelines for training and productionFormulate real-world problems into practical, efficient, and scalable AI and machine learning solutionsDevelop and implement machine learning algorithms, models, and computational systemsDesign and build scalable data pipelines to support model training and production with DevOps and MLOpsCustomize and apply Deep Learning and Gen AI models for use cases based on business needs, data availability, system requirements, and infrastructure requirements, including edge device and HPCEngage in research and development of new AI and high-performance compute algorithms, models, and simulations to solve complex business problems at client sitesWork with large-scale datasets and use data preprocessing techniques to ensure high-quality input for training and productionImplement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate toolsJustify the value of model approaches in business problemsCollaborate 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: AIBig DataCloudDevOpsSupportJavaLLMMachine LearningMLOpsModel TrainingPyTorchPythonSQLTensorFlowUX UI Design More:
We are Accenture, a leading global professional services company helping the worlds leading businesses, governments, and other 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 today, and we are one of the worlds 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. This is a full-time role based in London. We are committed to equal employment opportunity and value diversity across our teams.
last updated 36 week of 2026