About this role
Salary: £51,000 - 91,000 per year
Requirements: Strong academic background in a STEM fieldAt least 2 years of Data Science or Machine Learning experience for mid-level roles, or at least 5 years for senior rolesStrong foundation in probability and statisticsExperience with geospatial data or routing is a plus, particularly for our Mapping teamA background in operations research or combinatorial optimization is a plus, particularly for our Matching and Pricing teamsExperience deploying real-time or latency-sensitive machine learning systems is a plus Responsibilities: Collaborate with engineers, designers, and product managers to solve ambiguous problemsResearch, prototype, and deploy machine learning models in productionContinuously improve existing algorithms and identify opportunities to develop new onesOwn the process from ideation and research through production deployment Technologies: SupportLLMMacBookMachine Learning More:
Were Wheely, redefining premium transportation across major cities in Europe, the US, and the Middle East by combining cutting-edge technology with five-star chauffeuring. More than 100,000 active riders and 1,200 corporate accounts use our service. Were a profitable, fast-growing scale-up with $43 million raised and more than $100 million in annual revenue, expanding rapidly across the US and EMEA following our launch in New York City. Were hiring mid-level and senior Data Scientists and Machine Learning Engineers for teams working in Mapping, Matching, Pricing, or Supply on challenges such as ETA prediction, routing, map matching, dynamic pricing, bipartite matching, driving-style prediction, and LLM integration. This is an office-based role in West London, four days a week, with flexible start and finish times and one remote day of your choice. We offer a salary of £90,000–£110,000, employee stock options, private medical and dental insurance, life and critical illness cover, a latest-generation MacBook Pro and 4K display, monthly credit toward Wheely journeys, a Cycle to Work scheme, a professional development stipend, and relocation support including visa sponsorship and an allowance. We collect, store, and process personal information in accordance with our Candidate Privacy Notice.
last updated 40 week of 2026