Machine Learning Engineer
Share
Job Location:
Monthly Salary:
Posted on:
Vacancies:
Job Summary
We Deliver Progress.. What youll do and how youll make an impact..
As a Machine Learning Engineer at UW your responsibilities will include:
- 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.
Qualifications :
We put people first. Its all about you..
- Technical Mastery:
- 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.
- Impact & Scope:
- 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.
- Planning & Delivery:
- You are capable of independently implementing small to medium sized features through to completion.
- Operational Excellence:
- Continuous improvement mindset: Identify process gaps and proactively propose solutions seeking out feedback from your team.
- Business & Domain Knowledge:
- Experience in working in a relevant consumer-centric domain
- Can advise stakeholders on how Machine Learning Engineering can be applied to solve business problems
- Leadership & Culture:
- Collaboration: A Software Engineering mindset with the ability to work empathetically with Data Scientists understanding their workflows while enforcing production standards.
Skills / Competencies
- 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.
Dont worry if you dont have the whole list. If you feel you have most of it and can learn the rest pretty quickly then please dont 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.
Additional Information :
Weve got big ambitions so theres going to be plenty of challenges. There are also a lot of benefits:
- An industry benchmarked salary. Well share it during your first conversation.
- Discretionary performance bonus
- Flexible remote working with the option to visit our London hubs for team meetings and company events. Youll have access to a range of hot desking spaces around the UK
- Electric Car salary sacrifice scheme through Tusker
- Discount on our services and you get our coveted Cashback Card for free. Youll 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.
- Family-friendly policies designed to help you and your family thrive.
- Discounted private health insurance access to an Employee Assistance line and a free Virtual GP. Our wellbeing app Unmind supports your mental health.
- 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
Not sure you meet all the requirements Let us decide! Research shows that women and members of other underrepresented groups tend not to apply for jobs if they think they may not meet every qualification when in fact they often do.
We provide equal opportunities a diverse and inclusive work environment and fairness for everyone. You are welcome to apply no matter your age disability gender marriage or civil partnership status pregnancy and maternity status race religion or belief or sexual orientation. Please dont be afraid to ask about what we can do to support your needs. All requests will be carefully and fairly considered.
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.
Remote Work :
No
Employment Type :
Full-time
Key Skills
About Company
From a pub in Henley back in 96, to an award-winning business with over a million customers weve come a long way. For over 20 years weve been putting money back into peoples pockets through our unique utilities bundles. We take pride in delivering simple yet powerful services t ... View more
