Machine Learning Engineer

About our client:

Our client is a leading global player in the energy sector, with a dynamic, entrepreneurial culture that empowers talent to thrive. The company offers opportunities to work on impactful projects in major energy hubs, with a strong commitment to growth in renewables and innovative infrastructure solutions. They provide exceptional support and development, making this the perfect environment to advance your career and shape the future of energy.

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.

Core Responsibilities

• 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 teams 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 teams velocity and quality
• Helping build data and machine learning expertise within the business through knowledge sharing

Qualifications

• 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.

If you are ready to apply your technical skills, contribute to impactful projects, and thrive in a fast-paced, innovative environment, we would love to hear from you!

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