Senior Machine Learning Engineer, Utility Warehouse
+ Annual discretionary bonus ranging from 15-40%
More information about location
2+ days a week in office
Multiservice utilities provider
Posted today
Multiservice utilities provider
1001+ employees
Posted today
+ Annual discretionary bonus ranging from 15-40%
More information about location
2+ days a week in office
1001+ employees
Company mission
To be the nation’s most trusted utility supplier by simplifying home services, helping customers to stop wasting time and money.
Role
Who you are
- Production ML Experience: Proven experience deploying Machine Learning models into high-traffic production environments (retail, fintech, or utilities experience is a plus)
- Tech Stack: Strong proficiency in Python and software engineering best practices (unit testing, modular code, Git). Experience with containerization (Docker, Kubernetes) is essential
- MLOps Tooling: Experience with model registries and monitoring tools (e.g., MLflow, Grafana)
- Desirables: Experience with Feature Stores (e.g., Feast, Tecton). Knowledge of streaming data technologies (Kafka, Pyspark). Hands-on experience building or deploying LLM-based applications, specifically working with RAG architectures and vector databases
- You have a track record of leading high-impact initiatives that align with company strategy. You can evaluate proposed work against team goals and provide critical feedback to ensure value delivery
- You are capable of independently implementing small to medium sized features through to completion
- Continuous improvement mindset: Identify process gaps and proactively propose solutions, seeking out feedback from your team
- Experience in working in a relevant consumer-centric domain
- Can advise stakeholders on how Machine Learning Engineering can be applied to solve business problems
- Collaboration: A "Software Engineering mindset" with the ability to work empathetically with Data Scientists, understanding their workflows while enforcing production standards
- Strategic Problem Solving: Ability to break down vague, high-level business requirements into concrete, scalable technical architectures
- Clear Communication: Excellent verbal and written skills, with the ability to influence technical and non-technical audiences
- Accountability: Willingness to take ownership of critical systems and participate in on-call rotations
- Continuous Learning: Proactively seeking out the latest industry trends and introducing relevant innovations to the team
- Don’t worry if you don’t have the whole list. If you feel you have most of it and can learn the rest pretty quickly then please don’t hesitate to apply
- Overall we are looking for imaginative and pragmatic problem-solvers who want to help make a positive impact with data at UW
What the job involves
- We work in small, fully autonomous teams that have real ownership of their products. We use the best tool for the job and constantly look for better
- We are seeking a production-focused Machine Learning Engineer to bridge the gap between data science research and scalable, reliable software
- In this role, you will partner with Data Scientists to re-architect experimental models (POCs)—such as Next Best Action and Churn Propensity—for production
- You will own "Day 2" operations including deployment, latency optimization, and monitoring, while also building the infrastructure for GenAI and RAG applications powering our tools
- Predictive Modelling: Design and deploy robust ML models to solve business challenges, specifically Churn Propensity and Next Best Action (NBA) engines
- Customer Analytics: Develop advanced Customer Segmentation using clustering techniques to tailor services and communications
- Commercial Valuation: Own xLTV and ROI logic, modeling long-term customer value to optimize acquisition and retention spend
- Deployment & Ops: Collaborate with Data Engineers to productionise scalable models, ensuring continuous monitoring for drift and performance
- Experimentation: Design and analyse A/B tests to validate model effectiveness and measure commercial uplift
- Stakeholder Partnership: Translate complex statistical outputs into actionable insights for Marketing, Product, Commercial and Ops stakeholders
Application process
- Please note, if you are successful and offered a role at UW, you will be subject to a background check. Where checks are unsatisfactory or incomplete and/or a failure to reveal information relating to convictions that you are required to identify as part of the background checks, could lead to withdrawal of an offer of employment
Salary benchmarks
Our take
Budgeting for a household is no easy task, especially when you've got to keep track of various bills from different providers. That's why Utility Warehouse provides customers with all their home services – including energy, broadband, mobile and insurance – in one simple, monthly bill.
The company says that this all-in-one approach ‘makes budgeting so much easier’ for customers, which is backed up by a strong customer services record. Though it does not advertise heavily, its partners are given incentives to sign up new customers, which has contributed to its impressive growth thus far.
Boasting over 1 million customers across the services they sell, Utility Warehouse is one of the largest energy providers outside the 'Big 6'. Its unique approach, and established footing in the market, should ensure it continues to compete with other challengers as the utilities sector further evolves.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Employee endorsements
Opportunities to learn
"My manager is always looking to create more opportunities for me to have my voice heard and be stretched into areas I've not necessarily worked in..."
Company benefits
- An industry benchmarked salary. We’ll share it during your first conversation
- Annual discretionary performance based, annual bonus scheme
- Hybrid working, with 2 days in the office. (We’re definitely open to discussing flexible working arrangements)
- Holiday trading- buy & sell up to 5 days holiday each year
- Discount on our services and you get our coveted Cashback Card for free. You’ll also get access to 100s of rewards and discounts through Perkbox
- A matched contribution pension scheme and life assurance up to 4x your salary. You can also access free mortgage advice and a financial wellbeing tool
- Save as You Earn scheme
- Family-friendly policies, designed to help you and your family thrive
- Flexible benefit choices such as Private health insurance, a free Virtual GP, Gym discounts and wellbeing apps
- Electric Car salary sacrifice scheme through Tusker
- Belonging groups that help UW shape an even more inclusive future
- A commitment to helping you develop your career journey through learning, coaching and new experiences
Company values
- We’re people helping people: Because it keeps us real
- We’re open, empathetic, and foster belonging
- We get it done together: Because it helps us get things done
- We keep things simple, take ownership, and win together
- We’re all about results: Because we're ambitious
- We’re impact-focused, daring, and spirited
Company HQ
Farringdon, London, UK
Leadership
Stuart Burnett
(CEO)Stuart began his career as a corporate lawyer before working in several notable insurance firms. He joined UW in 2016 and has held several leadership roles, becoming CEO in 2021.
People progressing
Kerry
Joined as an Electricity Operations Analyst. Promoted 6 times and is now Head of Energy Operations.
Diversity, Equity & Inclusion at Utility Warehouse
Stuart Burnett (Co-CEO)
- We’re a unique bunch of people here at UW – and that’s just how we like it. We embrace different perspectives, experiences, and personalities, creating an inclusive environment where people feel they can belong
- We write job description requirements as minimally as possible to encourage candidates who may exclude themselves to apply, and the Recruitment team work with our hiring managers to minimise bias in the hiring process
- We have a number of active Employee-led Inclusion groups - Menopause Support Pride, Women in Leadership Carers Support
- We openly publish our D&I results internally and externally as well as our targets for improvement.
- We put on unconscious bias workshops and training for all team members
- We provide mental health support and other wellness initiatives to support all our team members
- We are a member of the Women in Utilities network and actively support opportunities for mentoring through the group
- We provide inclusive leadership learning to all people leaders at UW
- We have committed to the Race at Work Charter
- We have an active, zero-tolerance, Harassment and Bullying policy
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