Machine Learning Engineering Manager

Get started with your online application Not quiteyour dream role? Sign up to get notified when the right vacancycomes along. Machine Learning Engineering Manager About the Role AtDeliveroo, we have an outstanding data science organization with amission to enable the highest quality human and machinedecision-making. We work across product, business, and platformteams using analysis, experimentation, causal inference, andmachine learning techniques. We are uniquely positioned to use datato help make better decisions and improve data literacy acrossDeliveroo. Machine Learning (ML) Engineers work in cross-functionalteams of engineers, data scientists, and product managers to buildalgorithmic products that power the company. We are embedded inproduct teams, close to business problems, and tackle some of thehardest challenges. ML Engineers translate fuzzy business problemsinto concrete pipelines, design and implement them, deploy modelsto production, and collaborate with data scientists to runexperiments. ML Engineers at Deliveroo report to our Sciencemanagement team. We have a strong, active data science communitywith guest lecturers, a robust technical review process, a careerprogression framework, and many learning opportunities. We offercareer pathways for both managers and individual contributors. OurML Engineers come from diverse disciplines but share a commonexcellence; many are formally trained in Machine Learning, many arenot. We are seeking a Machine Learning Engineering Manager to joinour management team and lead our Search & Relevance team, whichoptimizes the customer experience through recommendation enginesand search & ranking algorithms. The team includes ML Engineersof various seniorities, including mid-level, Senior, and Staff.Ideal candidates will: - Have experience line-managing machinelearning engineers and guiding their career development. - Havebuilt and deployed machine learning algorithms to production withinproduct teams. - Provide technical guidance on the design andimplementation of machine learning algorithms. - Have experienceworking with cross-functional teams and managing stakeholders toidentify opportunities and build roadmaps. - Bring togetherindividuals from diverse backgrounds and skill sets to form acohesive team. - Be comfortable working in a fast-paced, constantlychanging environment. - Adopt a pragmatic, flexible approachfocused on achieving impact. - [Bonus] Have knowledge andexperience with experimentation. At Deliveroo, we prioritize ourpeople’s welfare. Benefits vary by country but generally includehealthcare, well-being programs, parental leave, pensions, andgenerous annual leave, including time for charitable causes. Pleaseask your recruiter for specific details. Diversity We believe agreat workplace reflects the diversity of the world we live in. Wewelcome candidates regardless of gender, race, sexuality, religion,or personal preferences. All you need is a passion for food and adesire to be part of a fast-growing industry. We are committed todiversity, equity, and inclusion in our hiring process. If yourequire adjustments to apply or participate in interviews, pleaselet us know. We will do our best to accommodate you. Compensationand Benefits 1. Compensation - Competitive pay based on role andlocation. - Potential eligibility for bonuses, sign-on, orrelocation support. - Up to 5% matched pension contributions. 2.Equity - Share awards may be available, offering ownership inDeliveroo. 3. Food Benefits - Free Deliveroo Plus (delivery andoffers). - Team lunches from local restaurants. 4. Time Off - 25days annual leave plus bank holidays, increasing with tenure. - Onepaid day annually for volunteering. 5. Healthcare & Wellbeing -Funded healthcare on our core plan, with options for familycoverage. - On-site gym at HQ, discounted external gym memberships.- Access to wellbeing apps like Headspace, Strava, and Yogaia. -Dental insurance, critical illness cover, partner life cover,travel insurance, and health assessments. - Life assurance. 6. WorkLife & Development - Maternity, paternity, and parental leavefrom day one. - Supportive kit for remote work and aparent-friendly culture. - Access to mortgage advice. - Cycle toWork or Season Ticket Loans. - Training opportunities via RooLearnplatform. - Employee Resource Group social events such as dinners,dance lessons, and yoga sessions. #J-18808-Ljbffr