Machine Learning Engineering Manager

Get started with your online applicationReady to apply Before you do, make sure to read all the details pertaining to this job in the description below.Not quite your dream role? Sign up to get notified when the right vacancy comes along.Machine Learning Engineering ManagerAbout the RoleAt Deliveroo, we have an outstanding data science organization with a mission to enable the highest quality human and machine decision-making. We work across product, business, and platform teams using analysis, experimentation, causal inference, and machine learning techniques. We are uniquely positioned to use data to help make better decisions and improve data literacy across Deliveroo.Machine Learning (ML) Engineers work in cross-functional teams of engineers, data scientists, and product managers to build algorithmic products that power the company. We are embedded in product teams, close to business problems, and tackle some of the hardest challenges. ML Engineers translate fuzzy business problems into concrete pipelines, design and implement them, deploy models to production, and collaborate with data scientists to run experiments.ML Engineers at Deliveroo report to our Science management team. We have a strong, active data science community with guest lecturers, a robust technical review process, a career progression framework, and many learning opportunities. We offer career pathways for both managers and individual contributors. Our ML Engineers come from diverse disciplines but share a common excellence; many are formally trained in Machine Learning, many are not.We are seeking a Machine Learning Engineering Manager to join our management team and lead our Search & Relevance team, which optimizes the customer experience through recommendation engines and search & ranking algorithms. The team includes ML Engineers of various seniorities, including mid-level, Senior, and Staff.Ideal candidates will:Have experience line-managing machine learning engineers and guiding their career development.Have built and deployed machine learning algorithms to production within product teams.Provide technical guidance on the design and implementation of machine learning algorithms.Have experience working with cross-functional teams and managing stakeholders to identify opportunities and build roadmaps.Bring together individuals from diverse backgrounds and skill sets to form a cohesive team.Be comfortable working in a fast-paced, constantly changing environment.Adopt a pragmatic, flexible approach focused on achieving impact.[Bonus] Have knowledge and experience with experimentation.At Deliveroo, we prioritize our people’s welfare. Benefits vary by country but generally include healthcare, well-being programs, parental leave, pensions, and generous annual leave, including time for charitable causes. Please ask your recruiter for specific details.DiversityWe believe a great workplace reflects the diversity of the world we live in. We welcome candidates regardless of gender, race, sexuality, religion, or personal preferences. All you need is a passion for food and a desire to be part of a fast-growing industry.We are committed to diversity, equity, and inclusion in our hiring process. If you require adjustments to apply or participate in interviews, please let us know. We will do our best to accommodate you.Compensation and Benefits1. CompensationCompetitive pay based on role and location.Potential eligibility for bonuses, sign-on, or relocation support.Up to 5% matched pension contributions.2. EquityShare awards may be available, offering ownership in Deliveroo.3. Food BenefitsFree Deliveroo Plus (delivery and offers).Team lunches from local restaurants.4. Time Off25 days annual leave plus bank holidays, increasing with tenure.One paid day annually for volunteering.5. Healthcare & WellbeingFunded healthcare on our core plan, with options for family coverage.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. Work Life & DevelopmentMaternity, paternity, and parental leave from day one.Supportive kit for remote work and a parent-friendly culture.Access to mortgage advice.Cycle to Work or Season Ticket Loans.Training opportunities via RooLearn platform. xpwpeyx Employee Resource Group social events such as dinners, dance lessons, and yoga sessions.#J-18808-Ljbffr