Machine Learning Engineer, Kaluza
£63-81k
+ Discretionary Bonus Scheme
1+ day a week in office
Intelligent software platform powering the future of energy
Posted today
Intelligent software platform powering the future of energy
501-1000 employees
Posted today
£63-81k
+ Discretionary Bonus Scheme
1+ day a week in office
501-1000 employees
Company mission
To help decarbonise the world.
Role
Who you are
- Proven experience in a real-world ML / AI role, with strong understanding of core algorithms, data structures, and model performance evaluation
- Proficiency in Python, including libraries such as Scikit-learn, Pandas, NumPy, and others commonly used in the ML ecosystem
- Hands-on experience with GenAI APIs and tools, including deployment and integration of GenAI solutions into production systems
- Strong analytical and problem-solving skills, with the ability to approach complex problems methodically while keeping business impact in mind
- Experience across the full ML lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring in production environments
- Experience with MLOps tools and practices (e.g., MLflow, SageMaker, Docker, CI/CD pipelines)
- Excellent communication and presentation skills, capable of clearly articulating technical results to both technical and non-technical stakeholders, including senior leadership
- Track record of stakeholder engagement, collaborating cross-functionally with product, engineering, and business teams
- Solid foundation in statistics, including techniques such as hypothesis testing, significance testing, and probability theory
- Comfortable working in an agile environment, contributing to iterative development cycles and cross-functional teams
- Some experience with Scala is a plus
What the job involves
- You’ll be part of the centralised Kaluza ML team and wider Data
- Community where you’ll share knowledge, support other MLEs, Analysts and Product teams. You’ll be developing optimisation, ML algorithms and GenAI solutions across Kaluza
- Data is the foundation of everything we do, and to deliver our vision we need curious, tenacious people who can turn this data into strategy and actions with their expertise
- As an MLE at Kaluza, you’ll help product teams identify patterns and solve challenges with data. Projects include Forecasting, Recommenders and HelpDesk ticket classification
- Develop ML and GenAI Solutions: Design and implement machine learning using Python, leveraging data technologies such as Databricks, Kafka, and the AWS cloud environment. Our architecture is based on microservices, allowing for dynamic deployment of new features
- Productionise Algorithms: Deploy algorithms into production environments where they can be tested with customers and continuously improved. You’ll automate workflows, monitor performance, and maintain data science products using best practices for tooling, alerting, and version control (e.g., Git)
- Contribute to a Collaborative Data Science Culture: Share your knowledge and experience with the wider team. You’ll play a key role in fostering an ML / AI community that values openness, collaboration, and innovation
- Identify Opportunities for Impact: Help uncover new opportunities where ML/AI can add value across our products and services. This includes asking the right questions, identifying high-impact areas, and contributing to the broader data strategy
Salary benchmarks
Our take
The energy landscape is one of the most dynamic and fast-evolving sectors in the world. More and more energy retailers are looking to move further toward digitisation and reap the benefits of modern technology in an increasingly connected world. But many are struggling with the transition, held back by legacy operating systems which slow them down, drain resources, and hamper innovation.
This is where Kaluza comes in. An ecosystem of platforms whose services range from energy billing to smart electric vehicle charging, Its real-time cloud platforms transform supplier operations, reducing the cost to serve and boosting customer engagement. Essentially, its platform is aimed at helping businesses streamline their operations, saving them time, effort, and money which can be better invested elsewhere.
Kaluza is riding the momentum of a growing desire for sustainable business and services. Its program relating to electric car charging, for example, will be able to capitalise on huge new demand in that sector - over 100,000 electric cars are already on the roads in the UK, and Bloomberg New Energy Finance has predicted that electric cars will account for over 50% of new global car sales by 2040. As the globe moves further towards sustainable use of energy in the coming years, Kaluza could be very well positioned to capitalise.
Freddie
Company Specialist at Welcome to the Jungle
Insights
33% employee growth in 12 months
Company
Funding (1 round)
Jun 2024
$100m
LATE VC
Total funding: $100m
Company HQ
Kensington, London, UK
Articles
Leadership
Melissa Gander
(CEO)Initially joined Kaluza as COO before becoming CEO in 2024. Previously worked at OVO Energy in a number of roles, including Managing Director of Smart Metering and Group COO. Prior to that, they worked at INEXUS as a Process and Performance Analyst and a Customer Manager.
People progressing
Joined as Senior Technical Product Manager in 2017, promoted after 2 years to Head of Product, promoted again in 2024 to their current position as Director of Product.
Joined Kaluza in 2020 as a Software Engineer, and in less than 2 years was promoted to Software Engineering Manager and again promoted in 2023 to Senior Software Engineer.
Diversity, Equity & Inclusion at Kaluza
- We are developing an dedicated Early Talent programme with a focus on underrepresented groups, offering different training opportunities within the business
- Our applicant tracking system, Greenhouse, also anonymously tracks the diversity of each candidate pipeline, so we can proactively take action when a pipeline needs to be more diverse
- We invest in tools, like Textio, and focused diversity job boards to help us reduce bias in our job postings and recruitment activity
- Commitment in improving diversity across our Tech Teams and working with companies to improve the tech ecosystem as a whole, specifically have committed to 25% Women in Tech by 2025
- We've signed up to numerous charters, like the Tech Talent Charter, Race at Work Charter and Trans in the City, to show our continuing commitment to improving I&D within Kaluza and the wider community
- Within Kaluza we have belonging communities set up, to offer support and forums for everybody
- We run monthly Inclusive Hiring Skills & Bias training that are open to all Kaluza employees
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