AI Engineer (Remote) in London

Aubay UK is seeking a highly skilled and versatile Senior AI Engineer for our leading oil and gas client. The Senior AI Engineer is responsible for designing, developing, and deploying advanced AI and machine-learning solutions for enterprise-level clients. The ideal candidate will have a strong foundation in mathematics or computer science and a proven track record of delivering innovative AI capabilities across diverse industries. This role requires both strategic and hands-on technical expertise, with the ability to operate autonomously, evaluate trade-offs, recommend optimal approaches, and own the end-to-end development of impactful AI solutions.

The engineer will work collaboratively across multidisciplinary teams, providing thought leadership in cutting-edge AI technologies, including deep learning, graph neural networks, generative AI, and retrieval augmented systems.

• 5+ years of professional experience delivering advanced AI / ML solutions in industry or engineering environments.
• Strong expertise in Python and AI/ML libraries.
• Proven hands-on experience deploying models in production and building scalable AI software.
• Deep understanding of advanced modelling methods: deep learning, GNNs, computer vision, sensor fusion, vector embeddings, RAG, generative AI.
• Experience designing AI/ML architectures and providing strategic technical guidance to enterprise clients.
• Proficiency with cloud compute platforms for training and deployment (Azure, AWS, GCP, or similar).
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or related STEM field.
• Background in reliability engineering, corrosion, WRFM (Well & Reservoir Facility Management), advanced sensing, or process engineering.
• Hands-on experience with platforms such as Azure ML Studio, Palantir Foundry, or Databricks Mosaic.
• Familiarity with NLP, LLM deployment, agent-based AI (MCP, A2A, N8N), and advanced RAG architectures.

Lead the end-to-end development, deployment, and delivery of AI and machine learning solutions for enterprise clients, ensuring scalability, reliability, and real-world impact. Apply advanced AI techniques—including deep learning, classical ML, graph neural networks, object detection, sensor fusion, vector embeddings, retrieval-augmented generation (RAG), and generative AI models—to design systems that learn, adapt, and operate autonomously. Provide strategic architectural guidance on AI systems, ensuring efficient design, cloud-ready deployment, and alignment with enterprise architectural standards. Collaborate with multidisciplinary teams (engineering, product, domain experts) to create AI-driven solutions that automate analysis, enhance decision-making, and generate actionable insights. Lead the design and implementation of AI pipelines, including experimentation, model training, evaluation, optimisation, and production deployment. Serve as a thought leader on emerging AI technologies, including LLMs, generative AI, agent-based systems (MCP, A2A, N8N), and advanced RAG frameworks, helping guide innovation and best practices. Ensure all AI solutions meet standards for performance, security, cloud governance, and operational reliability, leveraging modern cloud environments for model training and deployment.

Our client is one of the Super Major global energy companies working to power progress through cleaner energy solutions. You will have the opportunity to work in a challenging but rewarding environment that is fast-paced and changing fundamentally, and work towards transforming the business of a Super Major energy company to meet the ambition to be a net-zero emissions energy business by 2050, whilst delivering a world-class business case that has a strong societal license to operate. You will receive continuous support from our dedicated team of Talent Acquisition Specialists who will support your career development and success during your assignment with our client.