Senior AI Engineer in City of London

Senior AI Engineer in City of London

City of London Full-Time 43200 - 72000 £ / year (est.) No home office possible
Aubay UK

At a Glance

  • Tasks: Design and deploy advanced AI solutions for a leading global energy client.
  • Company: Join Aubay UK, a forward-thinking tech company in the energy sector.
  • Benefits: Competitive salary, career development support, and a range of benefits.
  • Why this job: Make a real impact on the future of energy with cutting-edge AI technologies.
  • Qualifications: Degree in STEM and over five years of AI engineering experience required.
  • Other info: Dynamic role with opportunities to drive change in a fast-paced environment.

The predicted salary is between 43200 - 72000 £ per year.

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.

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 machine learning 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.

Aubay's Take: 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. 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 remuneration 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.

Senior AI Engineer in City of London employer: Aubay UK

Aubay UK is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to lead the development of cutting-edge AI solutions for a leading global energy client. With a strong focus on employee growth, competitive remuneration, and a commitment to sustainability, you will be part of a transformative journey towards net-zero emissions by 2050, all while receiving continuous support from dedicated Talent Acquisition Specialists to enhance your career development.
Aubay UK

Contact Detail:

Aubay UK Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior AI Engineer in City of London

✨Tip Number 1

Network like a pro! Connect with industry professionals on LinkedIn, attend AI meetups, and join relevant online forums. The more people you know, the better your chances of landing that Senior AI Engineer role.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those involving deep learning and generative AI. This will give potential employers a taste of what you can do and set you apart from the competition.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Python and AI libraries like PyTorch and TensorFlow. Practice common interview questions to boost your confidence!

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.

We think you need these skills to ace Senior AI Engineer in City of London

AI Engineering
Machine Learning
Deep Learning
Graph Neural Networks
Generative AI
Python
PyTorch
TensorFlow
Scikit-Learn
Keras
NumPy
Pandas
Cloud Computing
Natural Language Processing (NLP)
Model Deployment

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with AI technologies and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a personal touch.

Showcase Your Technical Skills: Don’t forget to list your technical skills clearly, especially your proficiency in Python and AI libraries. We’re keen on seeing your hands-on experience, so include specific examples of projects or solutions you've developed.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!

How to prepare for a job interview at Aubay UK

✨Know Your AI Stuff

Make sure you brush up on the latest AI technologies mentioned in the job description, like deep learning and generative AI. Be ready to discuss your hands-on experience with tools like PyTorch and TensorFlow, as well as any projects where you've delivered full-cycle AI solutions.

✨Showcase Your Problem-Solving Skills

Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Highlight your ability to evaluate trade-offs and recommend optimal approaches, especially in complex environments like oil and gas.

✨Communicate Clearly

Strong communication skills are key for this role. Practice explaining complex AI concepts in simple terms, as you'll need to collaborate with multidisciplinary teams. Think of examples where you've provided strategic architectural guidance.

✨Be Ready for Technical Questions

Expect technical questions that test your knowledge of AI frameworks and cloud computing systems. Brush up on your understanding of platforms like Azure ML Studio and Databricks Mosaic, and be prepared to discuss how you've used them in past projects.

Senior AI Engineer in City of London
Aubay UK
Location: City of London

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