CrawlJobs Logo

Assistant Buyer Floral

woolworths.com.au Logo

Woolworths Supermarkets

Location Icon

Location:
Australia , Sydney

Category Icon
Category:

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

Assistant Buyer for Floral Category. Sydney-based 24-month Fixed-term contract. This role follows a set roster, including weekdays and one weekend day each week, with early 6 am starts.

Job Responsibility:

  • Ensure all products(Fruit & Veg) meet quality specifications prior to purchase, and drive category sales to support budget delivery (best deals and offers for customers and for Woolworths)
  • Negotiate competitive pricing to achieve the right customer and financial outcomes
  • Manage operational stakeholders and build effective stakeholder relationships (internal and external)
  • Partner with a large number of suppliers and stakeholders to communicate seasonality/ seasonal adjustments
  • Ensure stores’ stock requirements are met, and manage DC(Distribution Centre) stock levels to company standards while delivering to inventory targets

Requirements:

  • Strong foundational knowledge of buying, demand forecasting, and stock management, including an understanding of Distribution Centre (DC) operations
  • Experience with Microsoft Excel and Google Workspace for data analysis
  • SAP experience (pricing, product, and order maintenance) is highly regarded
  • Proven ability to manage complex admin systems, maintain high attention to detail, and perform accurate forecast planning under tight deadlines
  • Demonstrated success in negotiating with suppliers and collaborating with cross-functional internal teams to solve problems and influence outcomes
  • Highly organised ways of working with exceptional written and verbal communication skills, bringing a proactive approach to prioritising tasks in a fast-paced environment

Nice to have:

SAP experience (pricing, product, and order maintenance)

What we offer:
  • Team discounts across our range of Woolworths Group brands you know and love and a robust rewards program that celebrates and incentivises purpose-driven work
  • Parental Leave provision - applies to permanent team members

Additional Information:

Job Posted:
January 22, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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

Briefcase Icon

Similar Jobs for Assistant Buyer Floral

New

Team member

You’ll be the heartbeat of the restaurant – serving up great food, good vibes, a...
Location
Location
United Kingdom , Cobham
Salary
Salary:
12.21 GBP / Hour
kfc.ie Logo
KFC Dublin - Jervis Centre
Expiration Date
February 14, 2026
Flip Icon
Requirements
Requirements
  • Keep calm and crack on – pressure’s part of the game
  • Care about quality – of the food, the service, and the team
  • Spread good vibes – your attitude makes the shift
Job Responsibility
Job Responsibility
  • Serve up good vibes – greet every guest like they’re family
  • Own the front – take orders, handle the tills, and keep things clean and slick
  • Stay cool under pressure – rush hour? No problem
  • Prep like a pro – slice, dice, and get the goods ready fast
  • Keep it spotless – hygiene’s not optional, it’s the standard
What we offer
What we offer
  • Onsi app and benefits
  • Pension scheme
  • 25% KFC discount
  • Discounted gym membership
  • Full employee assistance programme
  • Free mortgage advice
  • Fulltime
Read More
Arrow Right
New

Personal Banker

Wells Fargo is seeking an Associate Personal Banker (SAFE) for our National Bran...
Location
Location
United States , Reno
Salary
Salary:
21.00 - 28.00 USD / Hour
https://www.wellsfargo.com/ Logo
Wells Fargo
Expiration Date
February 07, 2026
Flip Icon
Requirements
Requirements
  • 6+ months of interacting with customers experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • This position requires SAFE registration at the time of employment
  • Ability to work a schedule that may include most Saturdays
  • Maintains cash drawer, cash handling and balancing and spends time completing service-related tasks as needed
  • This position is not eligible for Visa sponsorship
Job Responsibility
Job Responsibility
  • Participate in delivery of exceptional customer experience by building relationships through proactive outreach as well as proposing appropriate products, services, and digital solutions to help customers succeed financially
  • Assist customers with basic requests related to opening new accounts, completing service requests, and submitting credit applications
  • Receive direction from managers and exercise judgement within defined policies and procedures
  • Develop understanding of bank products and services to connect to customers' needs
  • Interact with customers to demonstrate care and build relationships
  • Provide appropriate options for bank products and services to customer
  • Refer customers' financial needs to other bankers and partners as needed
What we offer
What we offer
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Fulltime
Read More
Arrow Right
New

Senior Staff Machine Learning Engineer - Driver Pricing & Marketplace Optimization

We’re seeking an exceptional Senior Staff ML Engineer to lead breakthrough ML in...
Location
Location
United States , Sunnyvale, California; San Francisco, California
Salary
Salary:
267000.00 - 297000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master’s degree with 12+ years of industry experience
  • 10+ years of experience building and deploying ML models in large-scale production environments
  • Expert-level proficiency in modern ML frameworks (TensorFlow, PyTorch, JAX) and distributed computing platforms (Spark, Ray)
  • Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, Algorithmic Game Theory, and Large-scale Ads Ranking/Auction Systems
  • Proven track record of leading complex ML projects from research through production with significant measurable business impact
  • Strong programming skills in Python, Java, or Go with experience building production ML systems
  • Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second)
  • Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives
Job Responsibility
Job Responsibility
  • Lead the design and implementation of advanced ML systems for dynamic pricing algorithms serving millions of drivers across 70+ countries around the world
  • Architect real-time ML infrastructure handling 1M+ pricing decisions per second with sub-50ms latency requirements
  • Drive breakthrough research in causal ML, reinforcement learning, algorithmic game theory, and multi-objective optimization for marketplace optimization with strategic agents
  • Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
  • Build scalable ML architecture and feature management systems supporting Driver Pricing and broader Marketplace teams
  • Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies
  • Establish ML engineering best practices, monitoring, and operational excellence across the organization
  • Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms
  • Partner with Product, Operations, and Earner Experience teams to translate complex business requirements into ML solutions
  • Collaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML research
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible for various benefits
  • Fulltime
Read More
Arrow Right
New

Senior Machine Learning Engineer - Marketplace Pricing

Uber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pri...
Location
Location
United States , Sunnyvale; San Francisco; Seattle; New York
Salary
Salary:
202000.00 - 224000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
  • 4+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments, delivering measurable business impact over multiple quarters and making significant technical contributions
  • Proficiency in programming languages such as Python, Scala, Java, or Go
  • Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
  • Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
  • Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization)
Job Responsibility
Job Responsibility
  • Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
  • Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
  • Collaborate with the team leads to set the team's technical direction and own its implementation, providing technical mentorship to junior engineers
  • Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible for various benefits
  • Fulltime
Read More
Arrow Right
New

Staff Machine Learning Engineer

Uber AI Solutions is one of Uber’s biggest bets with the ambition to build one o...
Location
Location
United States , San Francisco; Sunnyvale
Salary
Salary:
232000.00 - 258000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline
  • Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI
  • Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems
  • Excellent problem-solving and analytical abilities
  • Proven ability to collaborate effectively as a team player
  • 8+ years of industry experience in ML/AI
  • A strong publication record in top-tier AI/ML conferences and journals, demonstrating a history of impactful research
  • Proven track record of training large models on distributed infrastructure
  • Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach
  • Experience collaborating effectively across an organization, not limited to just within teams
Job Responsibility
Job Responsibility
  • Contribute to and influence the technical direction for Uber AI Solutions, particularly around ML applications and research
  • Identify and choose the right problems that will benefit from ML expertise
  • Design and develop a suite of ML models that will help solve the above problems
  • Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms
  • Explore novel ideas and innovative solutions that can lead to a step change in our products
  • Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly
  • Provide mentorship to engineers on the team and across partner orgs to help raise the technical bar
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible for various benefits
  • Fulltime
Read More
Arrow Right
New

Staff Machine Learning Engineer - Marketplace Pricing

Uber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pri...
Location
Location
United States , Sunnyvale; San Francisco; Seattle; New York
Salary
Salary:
232000.00 - 258000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
  • 6+ years experience leading the development and deployment of ML models and optimization algorithms in large-scale production environments at top-tier ML companies (e.g. 1M+ predictions/sec or 100M+ users)
  • Track record of delivering outstanding business impact over multiple quarters
  • Proficiency in programming languages such as Python, Scala, Java, or Go
  • Proficiency with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
  • Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
  • Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
  • Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. multi-objective, LP, convex optimization)
Job Responsibility
Job Responsibility
  • Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform-level architecture decisions, executive communication and alignment, technical mentorship, and cross-team technical influence
  • Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
  • Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
  • Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible for various benefits
  • Fulltime
Read More
Arrow Right
New

Senior Machine Learning Engineer

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’...
Location
Location
United States , San Francisco
Salary
Salary:
202000.00 - 224000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 4 years of working experience in the ML/Robotics industry
  • Bachelor degree in computer science, computer engineering or related fields
  • Proficient in Python and Linux
  • Familiar with OpenCV, TensorFlow/PyTorch
Job Responsibility
Job Responsibility
  • Design and deliver software and tools as part of our state-of-the-art Machine Learning platform
  • Systems architecture design, including management of upstream and downstream dependencies
  • Provide technical leadership, influence and partner with fellow engineers to architect, design and build scalable solutions for ML technology that can stand the test of scale and availability, while reducing operational overhead
  • Deliver datasets to accelerate ML technologies, sensor data collection, processing, labeling, indexing, etc
  • Participate in periodic on-call rotations and be available for critical issues
  • Collaborate with platform, product and security engineering teams, and enable successful use of the latest machine learning techniques
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible for various benefits
  • Fulltime
Read More
Arrow Right
New

Staff Machine Learning Engineer

Have you ever ordered a car service on Uber, and when the ride arrives, wondered...
Location
Location
United States , New York; Seattle; San Francisco; Sunnyvale
Salary
Salary:
232000.00 - 258000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Masters or PhD or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field
  • 7 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling
  • Proficiency in multiple object-oriented programming languages (e.g. Python, Go, Java, C++)
  • Experience with any of the following: Spark, Hive, Kafka, Cassandra
  • Experience building and productionizing innovative end-to-end Machine Learning systems
  • Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design
  • Experience working with cross-functional teams(product, science, product ops etc)
Job Responsibility
Job Responsibility
  • Build statistical, optimization, and machine learning models
  • Develop innovative new earner incentives that earners for choosing our network and optimizing Uber’s new earner incentives spend
  • Optimize Uber’s background check spend and onboarding funnel
  • Design recommendation engines to recommend the most relevant earning opportunities and early lifecycle content
  • Develop matching algorithms for driver to driver mentorship program
  • Model and predict earner behaviors to improve earner experience throughout the onboarding funnel
  • Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction
  • Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive ML system development end-to-end from conceptualization to final product
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible for various benefits
  • Fulltime
Read More
Arrow Right