Senior AI/ML Data Architect

Job Description

Role: Senior AI/ML Data Architect

Location: West Midlands

Turner Lovell are recruiting a Senior AI/ML Data Architect with a strong background in developing and deploying artificial intelligence (AI) and machine learning (ML) solutions.

The role involves developing grid automation applications, collaborating with teams to identify data-driven opportunities, and leading AI/ML model development to optimise power systems.

You will ensure efficiency, scalability, and security in applications, leveraging your MLOps and full ML lifecycle skills.

Key Responsibilities:

1. Lead the design and implementation of AI/ML applications to deliver differentiated products and solutions in the grid automation sector.
2. Define and implement the framework for structuring and leveraging databases for AI to extract actionable insights.
3. Develop, deploy, and optimise high-quality AI/ML models on cloud- or on-premise platforms, using container or microservices architecture.
4. Work closely with R&D, product management, and regional teams to understand needs and develop innovative solutions.
5. Oversee the end-to-end lifecycle of ML models, including data pipeline development, training, deployment, and optimisation.
6. Identify areas where AI/ML can be applied to drive business efficiency, enhance customer satisfaction, and solve critical customer problems.
7. Collaborate with internal teams to ensure IP clearance and manage AI/ML model performance in production.
8. Lead and mentor teams, ensuring alignment with strategic objectives and best practices in AI/ML development.

Requirements:

1. Relevant degree in Computer Science, Electrical Engineering, Information Technology, or a related field, with at least 5 years of experience in data science, AI/ML, or power systems.
2. Proven experience in applying AI/ML techniques, including supervised/unsupervised learning and reinforcement learning, in industrial or OT (Operational Technology) environments.
3. Hands-on experience with AI/ML frameworks, MLOps (CI/CD), and cloud-deployment in environments like Azure, AWS, or Google Cloud.
4. Experience with grid power system simulations, MATLAB, PSCAD, PSS/E, Digsilent, or similar tools for power system modelling.
5. Strong background in developing and deploying AI/ML models in predictive maintenance, load forecasting, and grid optimisation.
6. Proficiency in programming such as Python, C++, Java, R, or similar.
7. Expertise in deploying ML models using Docker, Kubernetes (K8s), and related tools in virtualised environments.
8. Experience with data pipelines, Azure ML, SQL/NoSQL databases, and real-time data distribution systems.
9. Excellent problem-solving skills with a strong ability to troubleshoot, debug, and optimise AI/ML applications.
10. Proven ability to work collaboratively in cross-functional teams, leading projects from concept to implementation.
11. Strong communication and organisational skills, with the ability to lead, mentor, and provide guidance to other team members.

Desired Experience:

1. 3+ years of experience in developing ML models for power systems, including predictive analytics and optimisation techniques.
2. Experience with distributed computing using Spark, Scala, and cloud environments.
3. Familiarity with GPU computing for large-scale ML model training.
4. Advanced experience with databases such as GraphDB, SQL/NoSQL, and MS Access.
5. Knowledge of modern protection, control, and automation technologies in power distribution systems.
6. Experience with presenting technical papers at industry conferences or publishing in academic journals.
7. A proactive and adaptable approach, with a passion for continuous improvement and driving innovation.

Our client offers exciting opportunities to work on cutting-edge technologies in the energy sector. With a focus on sustainability and innovation, this is a chance to contribute to ground-breaking projects that shape the future of grid automation and power systems.

If this sounds like it could be your next challenge, please apply or contact Yana Arif (yana.arif@turnerlovell.com) / 07939 391748 for further information.