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3,841

Production jobs in United Kingdom

Machine Learning Engineering Manager

Deliveroo

London
On-site
GBP 60,000 - 100,000
30+ days ago
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Geo Environmental Consultant

TETRA TECH

Cardiff
On-site
GBP 30,000 - 50,000
30+ days ago

Staff Backend Engineer - ML Platform

Vayyar

London
On-site
GBP 60,000 - 100,000
30+ days ago

Product Engineer

Intercom

London
On-site
GBP 40,000 - 80,000
30+ days ago

AI Engineer

incident.io Ltd

London
On-site
GBP 110,000 - 130,000
30+ days ago
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Maintenance Engineer

ZipRecruiter

Crewe
On-site
GBP 47,000
30+ days ago

Production Systems Librarian

Harvard University

Cambridge
On-site
GBP 30,000 - 60,000
30+ days ago

Senior Software Developer

ONYX Insight

Nottingham
On-site
GBP 40,000 - 80,000
30+ days ago
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Procurement Specialist

ZipRecruiter

England
On-site
GBP 60,000 - 80,000
30+ days ago

Production Supervisor

ZipRecruiter

England
On-site
GBP 30,000 - 40,000
30+ days ago

Pharmaceutical Production Operator

Network Scientific Ltd.

West Yorkshire
On-site
GBP 25,000 - 34,000
30+ days ago

Maintenance Engineer

Yolk Recruitment Ltd

Exeter
On-site
GBP 54,000
30+ days ago

Architectural Technician/ Part II Architectural Assistant

Anderselite Ltd

Cardiff
On-site
GBP 35,000 - 55,000
30+ days ago

Deputy Maintenance Lead

Johnson Matthey

Royston
On-site
GBP 35,000 - 55,000
30+ days ago

System Engineer, Production Support

Point72 Careers

London
On-site
GBP 40,000 - 80,000
30+ days ago

Talent Pool - Supervisor/ Team Leader/ Manager

O-I Glass

Harlow
On-site
GBP 25,000 - 45,000
30+ days ago

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Machine Learning Engineering Manager
Deliveroo
London
On-site
GBP 60,000 - 100,000
Full time
30+ days ago

Job summary

An established industry player seeks a Machine Learning Engineering Manager to lead a dynamic team focused on enhancing customer experience through advanced algorithms. This role involves managing a diverse group of ML Engineers, guiding their professional growth, and deploying machine learning solutions within product teams. You'll collaborate closely with cross-functional teams to identify opportunities and create impactful roadmaps. Join a vibrant data science community that values innovation and continuous learning, contributing to one of the fastest-growing businesses in the food delivery sector. If you thrive in a fast-paced environment and are passionate about making a difference, this is the perfect opportunity for you.

Benefits

Healthcare benefits
Generous annual leave
Parental leave
Pension contributions
Charitable leave

Qualifications

  • Experience managing machine learning engineers and guiding their career development.
  • Proven track record of deploying ML algorithms to production.

Responsibilities

  • Lead the Search & Relevance team to optimize customer experience through algorithms.
  • Translate business problems into concrete ML pipelines for implementation.

Skills

Machine Learning
Team Management
Stakeholder Management
Algorithm Design
Cross-functional Collaboration
Experimentation

Education

Degree in Computer Science or related field

Tools

Machine Learning Frameworks
Job description

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

Machine Learning Engineering Manager

About the Role

At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed 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 the algorithmic products that power the company. We are embedded in product teams, close to the business problems and go after some of the hardest problems. ML Engineers translate a fuzzy business problem to a concrete pipeline that we design and implement. We then work closely with the engineers to deploy our models to production and with data scientists to run experiments based on these algorithms.

ML Engineers at Deliveroo report into our Science management team, and we have a strong, active data science community with guest lecturers, a robust technical review process, a career progression framework, and plenty of opportunities to learn new things. We have career pathways for both managers and individual contributors. Our ML Engineers come from many disciplines but have excellence in common. Many are formally trained in Machine Learning, many are not.

We are looking for a Machine Learning Engineering Manager to join our management team and lead our Search & Relevance team. This team optimises the customer experience algorithmically, mainly through recommendation engines and search & ranking algorithms. The team currently has a mix of MLEs of differing levels of seniority, 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 and input on the design and implementation of machine learning algorithms.
  • Have experience working with cross-functional teams and managing stakeholders throughout the business, helping them to identify opportunities and build roadmaps.
  • Bring together a group of individuals from many different backgrounds and skill sets to form a cohesive team.
  • Be comfortable working in an extremely fast, constantly changing environment.
  • Have a pragmatic, flexible approach, and most cares about achieving impact.
  • [bonus] Knowledge and experience with experimentation.

Workplace & Benefits

At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.

Diversity

At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.

We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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