> Markdown version of [/jobs/ext/63608-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/63608-senior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** Aubayat Aubay Uk - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Computer Vision, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, NumPy, Object Detection, OpenCV, Reliability Engineering, Tensorflow, Azure Machine Learning, Sensor Fusion, Google Cloud, Pytorch, Large Language Models, Deep Learning, Generative AI, Keras, Pandas, Scikit Learn, Information Technology, Xgboost, Nintex, Machine Learning Operations, Databricks - **Published:** May 28, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/x/37609577/ ## About the Role 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 system. Required Skills and Experience: 5+ years of professional experience delivering advanced AI / ML solutions in industry or engineering environments.Strong expertise in Python and AI/ML libraries: PyTorch, TensorFlow, Scikit-Learn, Keras, NumPy, Pandas, JAX, XGBoost, PyTorch Geometric, OpenCV, Transformers, LangChain, Pinecone.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).Strong communication skills, able to influence architecture decisions and explain complex concepts clearly.Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related STEM field. Desired Skills and Experience: Background in reliability engineering, corrosion, WRFM (Well & Reservoir Facility Management), advanced sensing, or process engineering.Experience with downstream customer platforms or trading ERP systems.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. Roles and Responsibilities: 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.Communicate complex technical concepts to non-technical stakeholders, providing clear strategic recommendations and architectural oversight.Ensure all AI solutions meet standards for performance, security, cloud governance, and operational reliability, leveraging modern cloud environments for model training and deployment. ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)