Machine Learning Engineering Manager

DELIVEROO; London; On-site; GBP 70,000 - 110,000; Full time

Job summary

An established industry player is looking for a Machine Learning Engineering Manager to lead a dynamic team focused on enhancing customer experience through advanced recommendation engines and search algorithms. This role involves managing a diverse group of ML Engineers, guiding their professional growth, and driving impactful projects within a fast-paced environment. The company fosters a culture of inclusivity and offers a range of benefits, including competitive compensation, healthcare, and generous leave policies. If you are passionate about machine learning and eager to make a difference, this opportunity is for you.

Benefits

Healthcare

Generous annual leave

Free Deliveroo Plus

Team lunches

On-site gym

Discounted gym memberships

Access to wellbeing apps

Life assurance

Training opportunities

Parental leave from day one

Qualifications

• Experience managing machine learning engineers and guiding their career development.
• Built and deployed machine learning algorithms to production.

Responsibilities

• Lead the Search & Relevance team to optimize customer experience.
• Provide technical guidance on machine learning algorithm design.

Skills

Machine Learning

Team Management

Cross-functional Collaboration

Algorithm Design

Stakeholder Management

Education

Degree in Computer Science or related field

Job description

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Machine Learning Engineering Manager

About the Role

At 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.

Diversity

We 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 Benefits

1. Compensation

• Competitive pay based on role and location.
• Potential eligibility for bonuses, sign-on, or relocation support.
• Up to 5% matched pension contributions.

2. Equity

• Share awards may be available, offering ownership in Deliveroo.

3. Food Benefits

• Free Deliveroo Plus (delivery and offers).
• Team lunches from local restaurants.

4. Time Off

• 25 days annual leave plus bank holidays, increasing with tenure.
• One paid day annually for volunteering.

5. Healthcare & Wellbeing

• Funded 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 & Development

• Maternity, 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.
• Employee Resource Group social events such as dinners, dance lessons, and yoga sessions.