AI Engineer

Accenture UK; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Accenture is seeking an AI/ML Computational Scientist in London to design, build and operationalize enterprise AI/ML solutions. You will work on custom models, cloud services, and DevOps/MLOps pipelines, spanning data assessment, model selection, and production deployment.

You will apply Deep Learning, Gen AI, and LLMs to client needs, building scalable data pipelines and collaborating with cross-functional teams to deliver reliable, value-driven outcomes.

Qualifications

• Significant experience as a machine learning engineer or scientist, deploying models in production at scale.
• Experience in distributed computing systems and architecture, including big data and cloud computing.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Experience with language models and LLM APIs.
• Programming languages: Python, C++, Java, R, SQL.
• Strong communication and cross-functional collaboration.
• MS or PhD in related field preferred.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML models and data pipelines for training and production.
• Customize Deep Learning and Gen AI models for various use cases.
• Engage in R&D of new AI and high-performance compute algorithms.
• Work with large-scale datasets and data preprocessing for high quality input.
• Implement and maintain data storage and retrieval for models and knowledge.
• Collaborate with business and technical teams to deliver end-to-end projects.

Skills

Python

LLM APIs

Machine Learning

Education

Bachelor's Degree or equivalent

MS or PhD in related field preferred

Tools

TensorFlow

PyTorch

Job description

Role title: AI Engineer
Location: London

Please Note: Any offer of employment is subject to satisfactory BPSS and DV security clearance which typically requires 10 years continuous UK address history usually including no periods of 30 consecutive days or more spent outside of the UK and declaration of being a British passport holder with no dual nationalism at the point of application.

Note: The above information relates to a specific client requirement

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.

We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.

“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO.

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 or equivalent

BASIC (REQUIRED) QUALIFICATION

• 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 in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming

• Experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks

• Some experience in building and deploying AI/ML based software to a cloud environment.

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

• MS or PhD in related field preferred (computer science, engineering, etc.)

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. 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 world’s 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. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.