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AI & Machine Learning Engineer (12 month Internship)

Mitsubishi Power Europe
London
8 months ago
Applications closed

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Data Scientist

Data Scientist

Sr. Data Scientist / Machine Learning Engineer - GenAI & LLM (Basé à London)

Sr. Data Scientist / Machine Learning Engineer - GenAI (Basé à London)

Sr. Data Scientist / Machine Learning Engineer - GenAI & LLM (Basé à London)

Sr. Data Scientist / Machine Learning Engineer - GenAI (Basé à London)

Reporting to theControl System and Digital Solution ManagertheAI & Machine Learning Internwill focus on supporting in the development of AI and Machine Learning initiatives to provide data led solutions for Turbine operation and maintenance activities.

Duties and Responsibilities

Support the study and development of data led solutions for the operation and maintenance subjects around Steam and Gas turbines. Support the Engineering team for Operation and Maintenance of Mitsubishi Gas Turbines, Steam Turbines, Control Systems and Auxiliary Equipment. To prepare and write technical documents, technical procedures, etc. following the instruction of the Engineering Management team Respond to internal customer requests for support in technical issue resolution, technical and analytical skills while adhering to sound engineering principles, standards, practices, and procedures. Support root cause analysis for technical issues, supporting project assigned to resolve customer technical issue. Document technical data generated by the assigned project consistent with engineering policies and procedures. Prepare technical presentations for customers ensuring the timely communication of significant issues or developments. To support unplanned/forced outages to meet availability goals. Provide commercial teams with technical support for sales and services proposal activities.

Skills and experience we’re looking for

Currently studying for a master’s in engineering, with Computer Science or AI related discipline (or just completing). Ability to demonstrate and execute a project development agenda. Good understanding of various data analysis and modelling methods Ideally possess experience in software libraries and toolboxes such as TensorFlow, Keras, Pytorch, Pandas, Matplotlib and Scikit-Learn. Efficiency in elementary topics in mathematics (calculus, probability, statistics, linear algebra, and optimization) and computer science (algorithms, data structures, parallel/distributed computing). Experience in one or more general purpose programming languages such as Python, Java, C and C++. Experience in mathematical optimisation or statistical machine learning. SQL and Power BI experience (useful) 3D CAD experience (useful) Finite Element Modelling experience (useful)

About Us

The greatest challenge facing the power sector today is ensuring reliable power generation and delivery, while reducing the CO2 emission burden in an increasingly regulated industry. As a trusted partner and pioneering leader in innovative technology and solutions, Mitsubishi Power is efficiently enabling this energy transition for our customers.

Mitsubishi Power in Europe, Middle East and Africa is a leading provider of innovative technology and solutions for the energy sector. Along with our predecessor companies, we have had a presence in the region since . Today, we have more than 1, employees across EMEA, with Centres of Excellence and customer support capabilities across the region.

Committed to decarbonizing EMEA’s power industry, our comprehensive solutions include hydrogen-capable advanced class gas turbines, battery energy storage for short duration storage and hydrogen for long duration storage.

From the delivery of complex engineering solutions through to project execution, Mitsubishi Power can offer you the chance to become part of a global company, leading in the field of thermal power generation systems and environmental technology.

National AI Awards 2025

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