Senior AI Engineer
ago
Location
Waterloo, London
Hybrid
Salary
Competitive
Employment Type
Full Time
Experience Level
Entry
Junior
Mid
Senior
Expert
Our Client
Global Energy Company
SPECIALTY
Upstream/Downstream, Bio-Fuels, Integrated Gas, New Energies, Chemicals, Energy and Trading
INDUSTRY
Energy
Company Size
80000+ Employees
Aubay's Take
Our client is one of the Super Major global energy companies with who are 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. In your role you will be expected to enact change and deliver value globally across business lines and geographies.
Benefits from Aubay
At Aubay UK, people are at the heart of our business. We offer a competitive remunerations package which includes a range of benefits. 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.
25 Days Annual Leave
Work From Home Opportunities
Pension Scheme
Opportunities to Work Directly with our Client
Training Opportunities
Discount Holidays at I'Aero Chalet
Role Summary
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 retrievalaugmented system.
Required Skills and Experience:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field.
- More than five years of advanced data science / AI engineering experience in industry.
- Proven experience delivering full-cycle AI software and deploying production-ready solutions.
- Strong proficiency in Python and core AI/data science libraries, such as:
- PyTorch, TensorFlow, ScikitLearn, Keras, NumPy, Pandas
- PyTorch Geometric, JAX, XGBoost, OpenCV
- Transformers, LangChain, Pinecone
- Hands-on experience with cloud computing systems for training, optimising, and deploying models.
- Strong communication skills and the ability to provide strategic architectural guidance.
Desired Skills and Experience:
- Experience in reliability, corrosion, WRFM (well and reservoir facility management), process engineering, or advanced sensing technologies.
- Exposure to downstream customer platforms and trading ERP systems.
- Experience with platforms such as Azure ML Studio, Foundry, and Databricks Mosaic.
- Familiarity with NLP, LLM deployment, Agentic AI frameworks (MCP, A2A, N8N), and retrieval-augmented generation (RAG) systems.
Roles and Responsibilities:
- Lead the end-to-end development and delivery of AI and machinelearning solutions for enterprise clients.
- Apply advanced AI methods, including deep learning, ML, GNNs, object detection, sensor fusion, vector embeddings, RAG, and generative AI models.
- Architect scalable AI systems capable of independent learning and continuous evolution.
- Provide strategic input on AI architectures, model deployment, and cloud-based scaling strategies.
- Collaborate across multidisciplinary teams to build AI-driven systems that enhance decision-making and operational efficiency.
- Develop solutions that autonomously analyse data and generate actionable insights.
- Act as a thought leader on state-of-the-art AI technologies, including large language models and generative AI innovations.