Machine Learning Engineer
UK Visa Sponsorship Analytics
Occupation Type
Programmers and software development professionals
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,700
(£28.05 per hour)
Occupation rate applies
Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.
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Description
Job title: Machine Learning Engineer
Location: London, Bristol, Edinburgh (including Hybrid)
Salary: £63,200 - £86,900
Reporting to: Head of Data Science & Products
This role is based in the UK and requires existing right to work in the UK.
At this time, we are not able to offer visa sponsorship for this role. We are committed to building a diverse, global team and our sponsorship policy is evaluated on a role-by-role basis. We encourage you to keep an eye on our careers site to stay informed about future opportunities where we are able to offer visa sponsorship.
Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today’s challenges while accelerating the shift to a clean, electrified future.
Our platform orchestrates millions of real-time decisions across homes, devices, markets and grids. By combining predictive algorithms with human-centred design, Kaluza makes clean energy dependable, affordable and adaptive to everyday life.
With teams across Europe, North America, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen.
At Kaluza we embrace a flexible, hybrid work model that balances autonomy with the power of in-person connection. Many of our teams find value in coming together regularly to collaborate, strengthen relationships, and accelerate progress. We’re focused on shaping thoughtful, team-driven approaches that support both business impact and individual well-being.
Where in the world of Kaluza will I be working?
Location: London, Bristol, Edinburgh (including Hybrid)
Salary: £63,200 - £86,900
Reporting to: Head of Data Science & Products
This role is based in the UK and requires existing right to work in the UK.
At this time, we are not able to offer visa sponsorship for this role. We are committed to building a diverse, global team and our sponsorship policy is evaluated on a role-by-role basis. We encourage you to keep an eye on our careers site to stay informed about future opportunities where we are able to offer visa sponsorship.
Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today’s challenges while accelerating the shift to a clean, electrified future.
Our platform orchestrates millions of real-time decisions across homes, devices, markets and grids. By combining predictive algorithms with human-centred design, Kaluza makes clean energy dependable, affordable and adaptive to everyday life.
With teams across Europe, North America, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen.
At Kaluza we embrace a flexible, hybrid work model that balances autonomy with the power of in-person connection. Many of our teams find value in coming together regularly to collaborate, strengthen relationships, and accelerate progress. We’re focused on shaping thoughtful, team-driven approaches that support both business impact and individual well-being.
Where in the world of Kaluza will I be working?
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.
What will I be doing?
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.
Key responsibilities include:
What will I be doing?
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.
Key responsibilities include:
- 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).
- 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.
We’re keen to meet people from all walks of life — our view is that the more inclusive we are, the better our work will be. We want to build teams which represent a variety of experiences, perspectives and skills, and we recognise talent on the basis of merit and potential.
We understand some people may not apply for jobs unless they tick every box. But if you're excited about joining us and think you have some of what we're looking for, even if you're not 100% sure, we'd still love to hear from you.
We’re on a mission, We build together, We’re inclusive, We get it done, We communicate with purpose.*
Our values are not words on a wall — they are at the heart of our culture. They are how we make decisions and how we treat each other. They are concrete and clear, and reflect what we as people, and as a business, really care about.
Kaluza’s vision is to power a world where net-zero is within everyone’s reach. Would you be interested in joining us to help achieve this?
From us you’ll get
Find out more about working in Kaluza on our careers page and LinkedIn.
Kaluza’s vision is to power a world where net-zero is within everyone’s reach. Would you be interested in joining us to help achieve this?
From us you’ll get
- Pension Scheme
- Discretionary Bonus Scheme
- Private Medical Insurance + Virtual GP
- Life Assurance
- Access to Furthr - a Climate Action app
- Free Mortgage Advice and Eye Tests
- Perks at Work - access to thousands of retail discounts
- 5% Flex Fund to spend on the benefits you want most
- 26 days holiday
- Flexible bank holidays, giving you an additional 8 days which you can choose to take whenever you like
- Progressive leave policies with no qualifying service periods, including 26 weeks full pay if you have a new addition to your family
- Dedicated personal learning and home office budgets
- Flexible working — we trust you to work in a way that suits your lifestyle
- And more…
Find out more about working in Kaluza on our careers page and LinkedIn.