Junior AI Software Engineer

JR United Kingdom; South Kesteven; On-site; GBP 30,000 - 45,000; Full time

Job summary

A dynamic renewable energy company seeks a Junior AI Software Engineer to enhance AI capabilities. The role involves improving AI applications, collaborating with teams, and integrating AI solutions into engineering processes. Ideal candidates have a computer science background and programming skills, with a passion for renewable energy.

Benefits

25 Days annual leave

8 flexible bank holidays

Private Medical Healthcare

Cycle to work scheme

Professional development opportunities

Professional fees paid

Company social events

On-site parking with EV charging

Qualifications

• Strong foundation in engineering principles.
• Proficiency in developing end-to-end software solutions.
• Expertise in at least one relevant programming language.

Responsibilities

• Collaborate to evolve LLM Application for usability.
• Evaluate and implement improvements in workflows.
• Define best practices for integrating AI into engineering.

Skills

Analytical

Problem Solving

Communication

Collaboration

Education

Degree in Computer Science

Degree in Data Science

Degree in Artificial Intelligence

Degree in Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Google Cloud

MS Azure

Job description

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Green Cat Renewables Job Advertisement – RenewablesJunior AI Software Engineer

Location: Edinburgh, Glasgow or Biggar

The Company

Green Cat Renewables (GCR) is a dynamic, innovative company that provides the complete range of technical services required to deliver renewable energy projects. The team of over 90 Engineers and Environmental Consultants deliver projects on behalf of clients from four offices in Edinburgh, Glasgow, Livingston and Biggar. GCR also works closely with its three sister companies Green Cat Contracting and Green Cat Hydrogen based in the UK and Green Cat Renewables Canada based in Calgary and Halifax.

The company has four main departments - Engineering, Environmental & Planning, Geotechnical Services and Technical & Asset Management Services. Underpinning these are the main administrative functions of the business, including a growing Artificial Intelligence (AI) team. Projects are typically based on wind, solar, and hydro power, with an increasing requirement for grid management, battery storage, and alternative technologies.

To enhance its services and bolster technological and data analytic capabilities, GCR is seeking an Artificial Intelligence (AI) Software Engineer with a strong background in software engineering to help deliver improvement projects using state-of-the-art AI techniques. The successful candidate will work closely with the Lead AI Engineer and other key collaborators to identify opportunities and implement AI solutions to drive productivity and advance engineering processes.

*Please note that Green Cat Renewables do not offer any form of visa sponsorship*

The Role

The role will initially be focused on improving the useability of AI in several key projects:

• Ensuring the usability of our custom LLM Application: collaborate with internal end user stakeholders to evolve our LLM Application such that they appreciate its added value in their workflows.
• Engineering our ANN energy models to be accessible: work with internal stakeholders of varying technical expertise to have the model accessible at levels they are comfortable with.
• Enhancing our Reporting Speed and Quality: evaluate the current workflows and identify and implement incremental improvements which together will make a major positive development.

As time progresses, we expect your contributions to extend across the broader business:

• Assessment and Analysis: continuously evaluate GCR’s business processes, data infrastructure, and technological capabilities; identify opportunities for AI integration and optimisation; analyse GCR’s needs, objectives, and constraints to develop tailored AI strategies that align with business goals and priorities.
• Establishing and Leading Engineering Practices: Define and implement best practices for integrating AI into engineering workflows. Lead the development of standards, processes, and tools that enhance collaboration and ensure high-quality engineering outcomes.
• Research and Development: conduct research and evaluate industry best practices; specify innovative AI solutions that drive value and competitive advantage; seek to improve existing AI solutions.
• AI Data and Model Management: working with the internal IT team, manage cloud services and hardware used for deploying AI models, particularly with respect to ongoing data size and cost efficiencies.

The Candidate

The Candidate would ideally have the following:

• A degree in computer science, data science, artificial intelligence, engineering or a related field.
• 1 year’s relevant work experience but not essential.
• Strong foundation in engineering principles and the ability to integrate AI solutions into engineering processes.
• Proficiency in developing end-to-end software solutions.
• Expertise in at least one relevant programming language (e.g., Python, Java, or C++)
• Familiarity with at least one AI framework (e.g., TensorFlow, PyTorch, or Scikit-learn).
• Knowledge of AI algorithms, machine learning techniques, and data analytics methodologies, with an emphasis on engineering applications.
• Understanding of data preprocessing, feature engineering, and statistical analysis.
• Familiarity with at least one cloud service for deploying AI models (e.g., AWS, Google Cloud, or MS Azure).
• Ability to transfer knowledge and skills effectively (with AI assistance or otherwise).
• A desire to learn and to keep abreast of the latest developments in software and AI.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Business acumen.
• High self-motivation and ethical standards.
• Interest in or knowledge of renewable energy systems.
• 25 Days annual leave and 8 flexible bank holidays
• Private Medical Healthcare
• Cycle to work scheme
• Professional development opportunities and support
• Professional fees paid for by the company
• Company social events and team building days
• On-site parking with EV charging points available to staff (Edinburgh Office only).