CrawlJobs Logo

Senior Machine Learning Engineer

deliveroo.co.uk Logo

DELIVER

Location Icon

Location:
United Kingdom , London

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our engineering and product teams tackle some of the most exciting challenges in tech, building systems that impact millions daily. We’re looking for a Senior Machine Learning Engineer to join our Care team. In this role, you’ll help shape the decision making systems that directly impact customer experience, trust, and fairness at Deliveroo. Care is an area with significant opportunity and real customer impact. This is a new headcount role where you’ll take ownership of existing models and help define strong ML foundations in spaces that are still evolving. Your work will span two equally impactful areas: 1) LLM powered customer support and automation. You’ll help build and evolve machine learning systems that understand customer sentiment and tone of voice, supporting a customer support chatbot powered by large language models. A key part of this work is ensuring quality, reliability, and trust in production ML systems. 2) Customer compensation and refund decisions. You’ll design and build machine learning models from the ground up to move beyond static rules and heuristics. These models will determine fair and consistent compensation outcomes across a wide range of customer scenarios, balancing customer satisfaction, cost, and long term trust.

Job Responsibility:

  • Owning the design, development, and productionisation of machine learning models used in customer support and decision making systems
  • Building monitoring, evaluation, and alerting frameworks to detect model underperformance, drift, or unexpected behaviour
  • Partnering closely with Product Managers, including teams working on decision platforms and customer experience, to turn ambiguous problems into robust ML solutions
  • Working with data scientists and engineers across Deliveroo to productionise models and embed them into scalable systems
  • Providing technical leadership in areas with unclear ownership, setting best practices for ML quality, reliability, and maintainability

Requirements:

  • 5+ years' experience as an ML Engineer or Data Scientist
  • 5+ years' experience writing production code in Python
  • Experience using tools like Git, Docker, Kubernetes, CircleCI
  • Experience productionising Generative AI workstreams or Agentic AI projects
  • You know the fundamentals of Generative AI and have a good understanding of the science behind it, including LLMs, VLMs, transformers and fine-tuning techniques.
  • A robust understanding of traditional ML and evaluation techniques, and a good understanding of the research and developments around Generative AI evaluation techniques.
  • You get satisfaction from seeing your work shipped and driving measurable impact to the business
  • Experience mentoring others in the team.
  • You have a bias to simplicity, where you care most about achieving impact

Nice to have:

  • Experience with evaluation harnesses and frameworks for Generative AI
  • Experience with observability, monitoring, and safety techniques for deployed GenAI systems
  • Experience in strongly typed languages such as Go
What we offer:
  • A competitive and comprehensive compensation and benefits package
  • Up to 5% matched pension contributions
  • Some roles may be eligible for share awards
  • Free Deliveroo Plus: free delivery and access to special offers
  • Team lunches from the best local restaurants
  • 25 days annual leave plus bank holidays, increasing with length of time spent working at Deliveroo
  • One day of paid leave per year to volunteer with a registered charity
  • Funded single cover healthcare on our core plan, with the option to add family members at own cost
  • On-site gym (HQ), discounted external gym membership
  • Access to wellbeing apps such as LesMills+, Strava, Headspace, Yogaia via GymPass
  • Discounted dental insurance and a range of other flexible benefits, such as critical illness cover, partner life cover, travel insurance, health assessments
  • Life assurance
  • Maternity, paternity and maternity and shared parental leave, eligible from day one of employment
  • Excellent kit to enable working from home and a parent-friendly working culture
  • Access to free mortgage advice
  • Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel
  • Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high-quality training and content
  • Regular Employee Resource Group (ERG) led social events – examples include dinners, dance lessons and in-office yoga sessions
  • Summer and end-of-year parties

Additional Information:

Job Posted:
January 18, 2026

Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Machine Learning Engineer

Senior Machine Learning Engineer

Atlassian is looking for a Senior Machine Learning Engineer to join our Central ...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
  • 6+ years of related industry experience in the data science domain
  • Expertise in Python or Java with the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Explain data science concepts to diverse audiences, create a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • Drive the development and implementation of cutting edge machine learning algorithms
  • Training sophisticated models
  • Collaborating with product, engineering, and analytics teams
  • Build the AI functionalities into each Atlassian products and services
  • Designing system and model architectures
  • Conducting rigorous experimentation and model evaluations
  • Providing guidance to emerging ML engineers
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

Working at Atlassian: Atlassians can choose where they work – whether in an offi...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of related industry experience in the ML domain
  • Expertise in Python, Kotlin or Java with the ability to write performant production-quality code, familiarity with SQL, Vector database and cloud data environments (e.g. AWS, Databricks)
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • Improving productivity of help-seekers in JSM, leveraging AI
  • Using RAG methodology to scan through the Knowledge Base, index, hydrate and generate answers which are accurate
  • Expanding to supporting multiple-languages, improving correctness scores, eliminating hallucinations, expanding search space beyond Knowledge Base
  • Implementing AI/ML for generating KB articles from issues
  • Suggesting and creating workflows through AI for solving customer queries
  • Other initiatives to create impact on overall helpfulness to the help seeker
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer, Central AI

Atlassian's Central AI organization is on a mission to revolutionize AI innovati...
Location
Location
Canada , Canada
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
  • 3+ years of related industry experience in the data science domain
  • Expertise in Python or Java with and the ability to write performant production-quality code
  • familiarity with SQL
  • knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences
  • craft a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
Job Responsibility
Job Responsibility
  • development and implementation of the cutting edge machine learning algorithms
  • training sophisticated models
  • collaborating with product, engineering, and analytics teams
  • build the AI functionalities into each Atlassian products and services
  • designing system and model architectures
  • conducting rigorous experimentation and model evaluations
  • providing guidance to junior ML engineers
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

We are looking for a Senior ML engineer to join the Teamwork Graph team and a gr...
Location
Location
United States , Mountain View; Seattle; San Francisco
Salary
Salary:
165500.00 - 265800.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience building and scaling business applications and systems using large amounts of data
  • Built generalizable platforms with a keen eye on empowering applications in product
  • Experience building and scaling business applications and systems using large amounts of data
  • Agile development mindset, appreciating the benefit of iteration and improvement
  • Experience working with LLMs and RAG a bonus
Job Responsibility
Job Responsibility
  • Process and structure large amounts of graph data to power applications across Atlassian
  • Build great APIs
  • Creative use of generative AI and ML to process, structure, and reason over large amounts of data to power intelligent products
  • Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation
  • Communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

We are looking for a Senior ML engineer to join the Teamwork Graph team and a gr...
Location
Location
United States , Mountain View; Seattle; San Francisco
Salary
Salary:
165500.00 - 265800.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience building and scaling business applications and systems using large amounts of data
  • Built generalizable platforms with a keen eye on empowering applications in product
  • Experience building and scaling business applications and systems using large amounts of data
  • Agile development mindset, appreciating the benefit of iteration and improvement
  • Experience working with LLMs and RAG a bonus
Job Responsibility
Job Responsibility
  • Process and structure large amounts of graph data to power applications across Atlassian
  • Build great APIs
  • Creative use of generative AI and ML to process, structure, and reason over large amounts of data to power intelligent products
  • Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation.
  • Communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders.
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

As a Senior Machine Learning engineer, you will work on the development and impl...
Location
Location
United States , Mountain View
Salary
Salary:
175560.00 - 235000.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
  • 4+ years of related industry experience in the data science domain
  • Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • work on the development and implementation of the cutting edge machine learning algorithms
  • training sophisticated models
  • collaborating with product, engineering, and analytics teams
  • build the AI functionalities into each Atlassian products and services
  • designing system and model architectures
  • conducting rigorous experimentation and model evaluations
  • providing guidance to junior ML engineers
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning System Engineer

As a Senior ML System Engineer on the AI & ML Platform team, you will play a piv...
Location
Location
United States , Seattle; San Francisco; New York; Austin
Salary
Salary:
165500.00 - 265800.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in building machine learning systems or ML infra / MLOps platform
  • Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin and Python)
  • Experience with RESTful microservices
  • Experience using cloud tools such as Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking)
  • Experience with Continuous Delivery and Continuous Integration
Job Responsibility
Job Responsibility
  • Collaborate with your teammates to solve complex problems, from technical design to launch
  • Deliver cutting-edge solutions that are used by other Atlassian teams and products to build AI features that reach millions of customers
  • Deliver code reviews, documentation & bug fixes within a strong engineering culture
  • Partner across engineering teams to take on company-wide initiatives spanning multiple projects
  • Mentor junior members of the team
What we offer
What we offer
  • health and wellbeing resources
  • paid volunteer days
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineering Manager

Atlassian is looking for a Senior Machine Learning Engineering Manager to join o...
Location
Location
United States , Seattle; Austin; New York; Washington DC
Salary
Salary:
190300.00 - 305600.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master or PhD in a quantitative subject (Computer Science, Mathematics, Statistics, Operations Research, or relevant work experience)
  • 5+ years of experience managing machine learning engineering teams running core services at scale
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring
  • Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our Recommendation system, and other AI/ML models
  • Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation
  • Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
  • Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right