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3,557

Machine Learning Engineer jobs in United Kingdom

Machine Learning Engineering Manager

Deliveroo

City Of London
On-site
GBP 80,000 - 100,000
30+ days ago
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Senior Data Engineer - Snowflake

Southern Lights

United Kingdom
Remote
GBP 75,000 - 85,000
30+ days ago

Senior Data Scientist - Drive Strategy & Growth

Deliveroo

City Of London
On-site
GBP 70,000 - 90,000
30+ days ago

Senior Data Scientist - Drive Strategy & Growth

Deliveroo

City Of London
On-site
GBP 70,000 - 90,000
30+ days ago

Senior Data Scientist

Deliveroo

City Of London
On-site
GBP 70,000 - 90,000
30+ days ago
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Senior Data Scientist (Economist)

Deliveroo

City Of London
On-site
GBP 40,000 - 60,000
30+ days ago

Data Scientist

Hargreaves Lansdown

Bristol
Hybrid
GBP 100,000 - 125,000
30+ days ago

Genomic Epidemiology Data Scientist: Pathogen Analytics

Ellison Institute of Technology

Oxford
On-site
GBP 45,000 - 65,000
30+ days ago
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Data Scientist Genomic Epidemiology - Pathogen

Ellison Institute of Technology

Oxford
On-site
GBP 45,000 - 65,000
30+ days ago

Graduate Data Analyst

GRAYCE

Rotherham
On-site
GBP 25,000 - 35,000
30+ days ago

Data Analyst

Michael Page (UK)

Southampton
On-site
GBP 80,000 - 100,000
30+ days ago

Data Engineer

Future

Bath
Hybrid
GBP 40,000 - 50,000
30+ days ago

Graduate Data Analyst

GRAYCE

Doncaster
On-site
GBP 25,000 - 30,000
30+ days ago

Graduate Data Analyst

GRAYCE

Sheffield
On-site
GBP 25,000 - 30,000
30+ days ago

Graduate Data Analyst

GRAYCE

East Midlands
On-site
GBP 80,000 - 100,000
30+ days ago

Pricing Analyst – Remote Data & Modelling Focus

First Central

Haywards Heath
On-site
GBP 30,000 - 45,000
30+ days ago

Advanced Digital Data Analyst - Digital Engagement

Lloyds Banking Group

Bristol
On-site
GBP 70,000 - 79,000
30+ days ago

Data Engineer

PA Consulting

Bristol
On-site
GBP 40,000 - 70,000
30+ days ago

Data Modeller for Client-Focused Data Solutions

Aberdeen Standard Investments

City of Edinburgh
On-site
GBP 45,000 - 65,000
30+ days ago

Data Modeller

Aberdeen Standard Investments

City of Edinburgh
On-site
GBP 45,000 - 65,000
30+ days ago

Senior Digital Data Analyst, Engagement & Personalisation

lloyds banking group

Birmingham
On-site
GBP 70,000 - 79,000
30+ days ago

Advanced Digital Data Analyst - Digital Engagement

lloyds banking group

Birmingham
On-site
GBP 70,000 - 79,000
30+ days ago

Senior Data Engineer Job Details | JLR

Jaguar Land Rover

Coventry
Hybrid
GBP 50,000 - 60,000
30+ days ago

Senior Research Analyst (Data)

Michael Page (UK)

Brighton
On-site
GBP 43,000 - 50,000
30+ days ago

Senior Data Engineer IND (Remote)

Remotestar

Cambourne
Remote
GBP 60,000 - 90,000
30+ days ago
Machine Learning Engineering Manager
Deliveroo
City Of London
On-site
GBP 80,000 - 100,000
Full time
30+ days ago

Job summary

A leading food delivery service in London is looking for a Machine Learning Engineering Manager to lead the Search & Relevance team. The ideal candidate should have experience in managing teams, deploying ML solutions, and collaborating with cross-functional teams. This role offers significant opportunities for impact and career development in a dynamic environment, backed by comprehensive benefits and a commitment to diversity.

Benefits

Healthcare benefits
Generous annual leave
Parental leave
Pension contributions

Qualifications

  • Experience in managing machine learning engineers.
  • Ability to work in fast-paced environments.
  • Tracks record of deploying ML algorithms in production.

Responsibilities

  • Lead the Search & Relevance team to optimize customer experience.
  • Develop recommendation engines and search algorithms.
  • Guide technical design and implementation of ML algorithms.

Skills

Line management of machine learning engineers
Building and deploying machine learning algorithms
Stakeholder management
Technical guidance on machine learning design
Flexibility in a fast changing environment
Knowledge of experimentation
Job description

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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