National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Graduate Energy Engineer

Lower 48 BESS
London
6 months ago
Applications closed

Related Jobs

View all jobs

Graduate Data Engineer

Delivery Manager - Software Development Focus

Experimental Physicist

Graduate Image Analysis Scientist

Graduate/Trainee Recruitment Consultant

Graduate Electronics Engineer

Lower 48 Energy (L48) is a UK based BESS development platform. We are accelerating the clean energy transition by developing and deploying BESS assets at strategic locations in the UK.

Our vision is to develop and own a UK Battery Storage portfolio of 250 MW in the next 2-3 years, expanding into further European territories and delivering a capacity of 1GW of capacity in the next 5-7 years.

CCI is a leading global energy commodities merchant and infrastructure asset investor headquartered in Stamford, USA with European offices in London and Geneva.

Lower 48 Energy is constructing its first project, a 45 MW, 90 MWh in Preston, Lancashire with COD in Q2 2025 and is working on two more projects to start design in 2024.

Lower 48 Energy’s organic pipeline is 800 MW in various stages of development.

Graduate Energy Engineer

Lower 48 Energy is looking for a Graduate Engineer to join our company as ‘Energy Engineer.’

As a Graduate Energy Engineer, you will be at the forefront of the energy transition, contributing to the development, deployment, and optimization of cutting-edge energy storage technologies. Working closely with our team of experienced engineers, you will play a key role in driving forward our mission to accelerate the adoption of renewable energy and support the transition to a low-carbon future.

Key Responsibilities:

  • Technical Analysis and Design: Conduct technical analysis and feasibility studies for BESS projects, including system sizing, performance optimization, and integration with renewable energy sources.
  • Project Development: Support the development of BESS projects from concept to execution, including site selection, permitting, grid interconnection, and regulatory compliance.
  • System & Revenue Modelling: Utilize advanced modeling and simulation tools to predict the performance of BESS systems under different operating conditions and optimize system design parameters.
  • Performance Monitoring and Optimization: Implement monitoring protocols to track the performance of deployed BESS systems and identify opportunities for performance optimization and efficiency improvements.
  • Research and Development: Stay abreast of the latest advancements in BESS technologies, industry trends, and regulatory requirements, and contribute to ongoing research and development initiatives within the company.
  • Collaboration and Stakeholder Engagement: Collaborate with internal teams, external partners, and stakeholders to ensure the successful implementation of BESS projects and foster positive relationships within the industry.

Qualifications:

  • Bachelor’s or Master’s degree in Engineering (Electrical, Mechanical, or related field) with a focus on renewable energy, energy systems, or electrical engineering
  • Strong understanding of energy storage principles and technologies, with specific knowledge of battery energy storage systems (BESS) preferred.
  • Familiarity with energy modeling and simulation software (e.g., MATLAB/Simulink, HOMER, PSS/E) and proficiency in data analysis tools (e.g., Python, R) is advantageous.
  • Excellent analytical, problem-solving, and decision-making skills, with a keen attention to detail and a proactive approach to learning.
  • Effective communication and interpersonal skills, with the ability to work collaboratively in a multidisciplinary team environment.
  • Passion for sustainability, renewable energy, and addressing the challenges of climate change.
  • Competitive salary and benefits package.
  • Opportunities for professional development and career growth.
  • Exposure to diverse and challenging projects in the renewable energy sector.
  • A supportive and collaborative work environment focused on innovation and sustainability.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.