ai engineer for enterprise clients

HireHi; Greater London; On-site; GBP 70,000 - 120,000; Full time

Job summary

Accenture is seeking an experienced ML Engineer to translate real-world problems into efficient AI and ML solutions. You will develop models, build scalable data pipelines, and apply Deep Learning and Gen AI techniques to client use cases.

The role requires delivering production-ready software across distributed computing environments, including edge devices and HPC, with collaboration across business and technical teams to achieve end-to-end project goals.

Qualifications

• Bachelor's degree or equivalent required.
• Significant experience deploying ML models to production at scale.
• Background in theory CS, systems, and programming.
• Experience with distributed computing and cloud environments.
• Proficiency with ML frameworks such as TensorFlow and PyTorch is a plus.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML algorithms and models.
• Build scalable data pipelines for model training and production.
• Apply Deep Learning and Gen AI models to business use cases.
• Collaborate with cross-functional teams to deliver end-to-end projects.

Skills

ML Engineer

Production deployment

Distributed computing

Python

Education

Bachelor's degree or equivalent

Tools

TensorFlow

PyTorch

Python

C++

Java

SQL

Job description

Описание:

Accenture is a global professional services company providing strategy and consulting, interactive, technology, and operations services, with digital capabilities across these areas.

Задачи:

• 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 for model training and production with DevOps and MLOps
• Customize and apply Deep Learning and Gen AI models to use cases based on business needs, data availability, and system and infrastructure requirements, including edge devices and HPC
• Research and develop AI and high-performance computing algorithms, models, and simulations to solve complex business problems at client sites
• Work with large-scale datasets and preprocess data to ensure high-quality inputs for training and production
• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge
• Justify the value of model approaches for 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 solutions into production

Требования:

• Bachelor's degree or equivalent
• Significant experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing, and auditing
• Considerable experience applying theoretical computer science foundations, including computer system architecture, systems engineering, and programming
• Experience with distributed computing systems and architecture, potentially including big data, high-performance computing, engineering simulations, scientific computing, grid and cloud computing, and distributed networks
• Some experience building and deploying AI/ML-based software to a cloud environment
• Будет плюсом: Proficiency in Python and Python-based AI/ML frameworks, familiarity with libraries and frameworks such as TensorFlow and PyTorch, experience with language model APIs and optimizing their usage for specific applications, experience with Python, C++, Java, R, and SQL, strong written and verbal communication skills, ability to explain complex technical concepts to non-technical stakeholders, client-facing skills in a consulting environment, cross-functional collaboration skills, an entrepreneurial mindset, curiosity about emerging technology and driving innovation, an MS or PhD in a related field such as computer science or engineering

Условия:

Employment offer is subject to satisfactory BPSS and DV security clearance Security clearance typically requires 10 years of continuous UK address history, usually including no periods of 30 consecutive days or more spent outside the UK, and declaration of British passport holder status with no dual nationality at the point of application