AI Prompt Engineer

Company logo
Shell
Global energy giant exploring, producing, refining and marketing oil, gas, petrochemicals and low‑carbon solutions.
Develop and deploy GenAI solutions, prompt engineering, and MLOps pipelines.
24 days ago ago
Intermediate (4-7 years), Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Tottenham, England, United Kingdom
Hybrid
Company Size
103,000 Employees
Service Specialisms
Exploration
Production
Refining
Marketing
Trading
Chemicals
Biofuels
Lubricants
Sector Specialisms
Energy
Lubricants
Oil and Gas
Renewable Energy
Natural Gas
Liquefied Natural Gas
Gas to Liquids
Low-carbon Energy Solutions
Role
What you would be doing
ai/ml solutions
microservices
model deployment
mlops pipelines
prompt design
cloud platforms
  • Propose, design, build and deploy AI/ML solutions, frameworks, automation, and orchestration to AI applications using microservices and event driven system-based practices
  • Collaborate with Infrastructure, data engineering and DevOps teams to increase our deployment velocity, including the process for deploying models and data pipelines into production
  • Continuously grow the transferable skills you need to get ahead.
  • Designing high quality prompts to generate the desired output from GenAI systems
  • Build ML pipelines using MLOps standards for automated model deployment, model performance monitoring, data drift detection in market standard platforms like Azure Machine Learning, AWS Sagemaker or Databricks
What you bring
mlops
python
azure
llms
microservices
prompt engineering
  • Knowledge in applying ML algorithms, Optimization, and technologies to time series forecasting
  • Experience using Machine Learning (MLOps) principles and standards such as automated model deployment, model performance monitoring, data drift detection etc.
  • Experience in developing data APIs, microservices and event driven systems to integrate ML systems
  • Strong communication skills, especially explaining technical concepts to businesspeople & to collaborate in a multi-disciplinary team
  • Holds bachelor’s or master’s degree in any of the following: Engineering, statistics, machine learning, or relevant areas
  • Experience in extracting, cleansing, and manipulating large, diverse structured and unstructured data
  • Experience of working in a virtual team and with virtual stakeholders
  • Good understanding of Large Language Models (LLMs) and other generative AI frameworks for inference in production.
  • Experience working in small, empowered, delivery focused, cross-functional and collaborating teams
  • Development competency across a breadth of languages, frameworks, and tooling, such as Python, CoPilot, Azure
  • Knowledge in Bash\Powershell Scripting and Linux Operating system and networking fundamentals.
  • Deep knowledge of various prompting techniques and experience in Prompt development and refinement. Testing of prompt accuracy and efficiency
Benefits
  • Benefit from flexible working hours, and the possibility of remote/mobile working.
  • Perform at your best with a competitive starting salary and annual performance related salary increase – our pay and benefits packages are considered to be among the best in the world.
  • Grow as you progress through diverse career opportunities in national and international teams.
  • Gain access to a wide range of training and development programmes.
  • Take advantage of paid parental leave, including for non-birthing parents.
Training + Development
Information not given or found
Company
Overview
284 Billion USD
Annual Revenue (2024)
Generated through integrated operations spanning exploration to retail.
47k Stations
Mobility Retail Presence
Operates over 47,000 stations globally.
54k EV Chargers
EV Infrastructure Expansion
Provides more than 54,000 EV charging points worldwide.
  • Evolved from a merger of two companies, becoming a global energy leader.
  • Typically involves deep-water oil and gas projects, large-scale LNG, and EV infrastructure.
  • Organized into key business units, bridging traditional and emerging energy solutions.
  • Blends traditional fuels with renewable energy sources to diversify offerings.
  • Strategic pivots include doubling oil and gas production while scaling back some renewables.
  • Known for bold moves like sponsoring top sports teams and expanding into new markets.
Culture + Values
  • We live our core values of honesty, integrity and respect
  • Core values of honesty, integrity and respect help create a diverse and inclusive culture
  • Approachable leaders: an informal, flat hierarchy where doors to senior management are open
  • Teamwork: achieving goals through teamwork across physical, remote and virtual teams
  • On‑boarding buddy assigned to each new joiner
  • Supportive network helping settle in and build friendships
  • Shared purpose and passion: working alongside colleagues who share a commitment to progress
  • Personal development: learner mindset, on‑the‑job learning, coaching, mentoring, formal training
  • Global‑scale participation: involvement in external engagements, learning and sharing expertise
Environment + Sustainability
2050 Net-Zero Target
Net-Zero Emission Goal
Committed to achieving net-zero emissions by 2050.
50% Emission Reduction
Emissions Reduction Target
Aims to cut absolute emissions by 50% by 2030, measured against 2016 levels.
£19.8M Investment
Conservation Funding
Invested £19.8 million in U.S. conservation efforts between 2015 and 2017, with ongoing partnerships like NFWF.
1M tonnes/year
Plastic Waste Utilization
Aim to use 1 million tonnes of plastic waste annually in global chemical plants by 2025.
  • Aim to reduce the net carbon intensity of energy products sold by 100% by 2050 (vs 2016)
  • Emissions from own operations peaked in 2018; own operations represent <10% of total emissions
  • By 2025, aim to use 1 million tonnes/year of plastic waste in global chemical plants
  • By 2030, 30% recycled plastic in packaging; packaging to be reusable or recyclable
Inclusion & Diversity
35% women leadership target by 2025
Gender Representation
Aiming for 35% women in senior leadership roles by 2025 and 40% by 2030.
42% Board women representation
Board Composition
42% of board members and 43% of executive committee members are women as of 2023.
100% HRC CEI score
LGBT+ Inclusion
Recognized as an 'Advocate' by Workplace Pride and achieved a 100% score in the US HRC CEI since 2016.
88% employee engagement
Engagement Rate
employee engagement survey achieved an 88% response rate in 2023, up from 87% in 2022.
  • 40% of graduate hires were women in 2023; experienced hires 38% women
  • Board had three ethnic-minority members (end-2023); one ethnic-minority Executive Committee member
  • Target: 15% ethnic-minority representation in senior management by 2027
  • Disability inclusion: aim to make service stations inclusive by 2030; support and adjustments for disabled staff
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