AI Engineer

Accenture
London, UK
1 day ago
Apply on www.apply4u.co.uk
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Systems Engineering Big Data C++ (Programming Language) Cloud Computing Computer Programming Distributed Systems R (Programming Language) Python (Programming Language) Machine Learning
+8 more
Language Modeling Tensorflow SQL Databases Systems Architecture Pytorch Large Language Models Information Technology Machine Learning Operations

Requirements

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.) #J-18808-Ljbffr

About the company

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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.apply4u.co.uk
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

1:31 min

Essential AI and human skills for future teams

Alexander Weißhaupt Alexander Weißhaupt +1 · World Congress 2025

Videos

See all

Related articles

See all