Senior AI Engineer

Shell; United Kingdom; On-site; GBP 70,000 - 120,000; Full time

Job summary

A leading company in the energy sector is seeking a Senior AI/ML Engineer dedicated to developing and deploying data science solutions. This role offers the opportunity to work with innovative technologies and contribute to impactful projects, while embracing a culture of diversity and continuous learning. Join a talented team focused on transforming the energy landscape and advancing sustainability goals.

Benefits

Flexible working hours

Remote working possibilities

Paid parental leave

Continuous skill development

Qualifications

• Advanced degrees (Bachelor's, Master's, or PhD) in relevant fields with minimum 10 years experience.
• Solid experience designing large ML applications.
• Proven experience in cloud development & CI/CD.

Responsibilities

• Build core infrastructure around feature engineering and model deployment.
• Deploy ML models using existing and emerging technologies.
• Work closely with cross-functional teams to enhance deployment velocity.

Skills

Python

Machine Learning

Data Engineering

System Design

Cloud Development

Bash

PowerShell

Linux Fundamentals

CI/CD

Communication Skills

Education

Bachelor's degree in Engineering

Master's degree in Machine Learning

PhD in Statistics

Tools

AWS

Azure

Kafka

Job description

What’s the role

As the Senior AI/ML Engineer, you will be responsible for initiating, development and deployment of data science solutions/products in an agile fashion to meet demand across multiple business lines. In addition, you will also be accountable for adhering to Shell quality standards for producing digital solutions.

What you’ll be doing

Your responsibilities include:

• Work within the Data Science and ML team to deploy models to production, using existing and emerging methods and technologies that could be effectively applied to Shell use cases

• Build core infrastructure around feature engineering, model training, model deployment, ongoing monitoring tools, and much more

• Work closely with Infrastructure, data engineering and DevOp teams to increase our deployment velocity, including the process for deploying models and data pipelines into production

• Work closely with Product Management to translate product requirements into robust, customer-agnostic machine learning architectures

• Keep abreast of new engineering practices, technologies and continuously improving our Agile practices and building and strengthening relationships and alliances in academia, IDT and industry

• Contribute to community building initiatives like CoE, CoP

What you bring

• Bachelor's, Master's, or PhD degree in one of the following fields: Engineering, Statistics, Machine Learning, or related disciplines with minimum of 10 years related experience

• Solid experience in System design of Large Machine Learning Applications

• Demonstrated expertise in development across a wide range of , frameworks, and tools, including Python, R, Java, JavaScript/JVM, Scala, Reactive Streams, and Kafka, with a preference for Python

• Experience in designing, developing, deploying, and monitoring machine learning and deep learning solutions

• Proven experience in cloud Application Development using AWS or Azure

• Proven experience implementing, Improving, and maintaining automated CI/CD pipeline

• Good experience in applying ML algorithms, Optimization, and technologies to time series forecasting

• Good experience in Bash\Powershell Scripting and Linux Operating system and networking fundamentals

• Strong communication skills, especially explaining technical concepts to businesspeople & to collaborate in a multi-disciplinary team

• Strong desire to stay ahead of industry trends & technologies with a commitment to continuous learning

• Experience working in small, empowered, delivery focused, cross-functional and collaborating teams

• Experience of working in a virtual team and with virtual stakeholders

What we offer

You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You’ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You’ll be able to balance your priorities as you become the best version of yourself.

• Progress as a person as we work on the energy transition together.

• Continuously grow the transferable skills you need to get ahead.

• Work at the forefront of technology, trends, and practices.

• Collaborate with experienced colleagues with unique expertise.

• Achieve your balance in a values-led culture that encourages you to be the best version of yourself.

• 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.

• Take advantage of paid parental leave, including for non-birthing parents.

• Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, , and life experiences to apply.

• Grow as you progress through diverse career opportunities in and

• international teams.

• Gain access to a wide range of training and development programmes.

We'd like you to know that Shell has a bold goal: to become one of the world’s most diverse and inclusive companies. You can get to know more about how we're working towards that goal, click here.

Shell in The United Kingdom

Shell UK remains one of the North Sea’s biggest producers, supplying around 10% of the UK’s total oil and gas needs. But perhaps the most recognisable face of Shell in the UK is our network of over 1,000 Shell-branded service stations.

In the years ahead, as the UK looks to strengthen energy security and deliver its 2050 net-zero goal, Shell UK aims to play a crucial role.We aimto be a major investor in the UK energy system by helping our customers decarbonise with a focus on transport and industry.