Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop cutting-edge machine learning solutions that make a real-world impact.
- Company: Join bp, a global energy leader committed to reimagining energy for a sustainable future.
- Benefits: Enjoy flexible working options, a supportive culture, and fantastic learning opportunities.
- Why this job: Be part of a diverse team tackling exciting challenges in AI and energy innovation.
- Qualifications: Bring your expertise in machine learning, Python, and cloud platforms to the table.
- Other info: This hybrid role offers a blend of office and remote work with no travel required.
The predicted salary is between 48000 - 72000 £ per year.
Entity:
Technology
Please ensure you read the below overview and requirements for this employment opportunity completely.
Job Family Group:
IT&S Group
Job Description:
About bp
bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero and improving peoples lives. We are committed to creating a diverse and inclusive environment where everyone can thrive. Join bp and become p…
JBLK1_UKTJ
Staff AI Engineer employer: BP Energy
Contact Detail:
BP Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff AI Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and AI, especially in areas like generative AI and NLP. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the energy sector and those already working at bp. Attend relevant meetups or webinars to connect with potential colleagues and gain insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your experience with cloud platforms and MLOps tools. Be ready to share specific examples of how you've implemented these technologies in past projects, as this will demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 4
Showcase your ability to mentor others by discussing any previous experiences where you've guided junior engineers or data scientists. This aligns well with the role's responsibilities and highlights your leadership potential.
We think you need these skills to ace Staff AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning engineering and applied data science. Emphasise your programming skills in Python and familiarity with ML libraries like PyTorch or TensorFlow, as these are crucial for the role.
Craft a Strong Cover Letter: In your cover letter, express your passion for building scalable ML systems and how your background aligns with bp's mission to reimagine energy. Mention specific projects where you've applied machine learning to real-world problems, particularly in scientific or R&D contexts.
Showcase Your Collaboration Skills: Highlight experiences where you've worked collaboratively with cross-functional teams. This role requires strong communication skills, so provide examples of how you've successfully translated business problems into ML solutions.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or research you've undertaken in machine learning or AI. Staying current with the latest ML research and tooling is important, so show that you're proactive about your professional development.
How to prepare for a job interview at BP Energy
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning algorithms and frameworks like PyTorch or TensorFlow. Bring examples of projects where you've built scalable ML systems, as this will demonstrate your practical application of skills.
✨Understand the Business Context
Research bp's mission and how they apply AI in their operations. Be ready to explain how your work can contribute to their goal of reaching net zero and improving lives, showing that you can translate business problems into effective ML solutions.
✨Prepare for Collaborative Scenarios
Since the role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve mentored junior engineers or data scientists in the past.
✨Stay Current with ML Trends
Familiarise yourself with the latest advancements in machine learning, especially in areas relevant to bp's work, such as generative AI or MLOps practices. Being able to discuss recent research or tools will show your passion and commitment to the field.