Machine Learning Engineer

As our portfolio of work continues to grow, we are looking for an experienced
Machine Learning Engineer to join our data science and machine learning team. The
individual will work closely with the data and machine learning specialists, software
engineers and commercial teams to deliver machine learning models and
applications.

We work across the trading business, operations, and other support functions; so
the individual will need to be comfortable working with a variety of stakeholders and
technologies.

The Machine Learning Engineer at Vitol has visibility and impact across the full
project workflow: from working with business stakeholders to help define the
project, to data collation and processing, exploratory analysis, model selection and
tuning, and implementation of production models.

The successful candidate will join a team of experienced, collaborative practitioners,
who are (pragmatically) solving some of the most challenging and impactful
problems the energy industry is facing; as well as pushing the boundaries around the
‘art of the possible’.

Core Responsibilities include:
• Being an energetic and enthusiastic member of a team uniquely positioned to
bring the power of data to bear on the inner workings of the energy industry
• Leading design, development, and deployment of machine learning systems,
bringing their technical knowledge and experience into the team, and using
this to create real solutions to real problems.
• Collaborating with cross-functional technology teams to gather requirements
and ensure the solutions align with business objectives
• Helping integrate the team’s solutions (including generative AI) into existing
systems and platforms to provide seamless user experiences and scale
adoption.
• Actively participating in code reviews, experiment design and tooling
decisions to help drive the team’s velocity and quality
• Helping build data and machine learning expertise within the business
through knowledge sharing and

Requirements

• Master's degree in Computer Science, Data Science, Machine Learning, or a
related field. Ph.D. is a plus
• Fluency in Python with the ability to write clean, modular, well-documented
code as well as a solid understanding of coding best practices
• 3-5+ years in industry developing and deploying machine learning models,
preferably in NLP, LLM and ideally generative AI domains
• Experience in successfully applying LLMs to solve business problems, solid
understanding of Gen AI design paradigms and best practices
• Experience with machine learning frameworks and libraries such as
TensorFlow, PyTorch, or Transformers
• Familiarity with cloud platforms (AWS) and containerization technologies
(Docker)
• Excellent problem-solving skills, ability to work independently and in a team
• Strong communication skills, with the ability to explain complex technical
concepts to non-technical stakeholders
• Understanding of machine learning fundamentals, including deep learning,
generative models, NLP techniques, such as sentiment analysis, and entity
recognition and disambiguation.