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We are hiring a Machine Learning Engineer in our ML Solutions squad to help build innovative generative AI products that provide AI-powered assistants to HelloFresh's culinary Chefs helping them editorialize content, validate recipe data, detect issues, suggest corrections, and ideate. As a Machine Learning Engineer, you will primarily contribute to our agentic generative AI system that automates recipe content production, while also supporting the MLOps platform that enables data scientists across the company to develop, deploy, and monitor ML models at scale. Lettuce Share What This Role Will Be Responsible For Develop and maintain an agentic GenAI system that integrates with HelloFresh's culinary content pipeline (API development, LLM orchestration, image generation). Design and implement production-grade AI Agent evaluations to measure quality, reliability, and performance of generative outputs. Design and build scalable, production-grade ML systems capable of handling large datasets, complex model pipelines, and real-time API integrations. Contribute to our MLOps platform — a set of tools and services built on Databricks, MLFlow, and Prefect that help data scientists develop, deploy, and maintain ML applications. Collaborate with data scientists, product managers, and culinary stakeholders to translate business needs into reliable AI & ML products. Improve operational excellence through automation, monitoring, drift detection, and data quality practices. Stay up-to-date on advancements in generative AI, agentic workflows, and MLOps tooling, and propose improvements to the team's development lifecycle. All other duties, as assigned Sound a-peeling? Here's what we're looking for Strong software development skills in Python and SQL, including DevOps practices, test-driven development (TDD), spec-driven development, and fluency working with AI coding agents. Hands-on experience building and maintaining production ML systems, including model serving, monitoring, and CI/CD pipelines. Familiarity or interest in generative AI (LLMs, image generation, prompt engineering, agentic architectures). Experience with modern MLOps tooling such as MLFlow, feature engineering, Kubernetes, and workflow orchestration (e.g., Prefect). Experience with PySpark and Databricks is a plus. A passion for building developer tools and platforms that improve productivity and enable other teams to scale ML adoption. Ability to communicate complex technical findings to both technical and non-technical stakeholders. Let’s cut to the cheese, this is why you'll love it here Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box. Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships! Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. Family Benefits - A parental leave top-up program for expectant parents. Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun! Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts. Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names! Flexible Hybrid Approach At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week. HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team. This is a posting for an existing vacancy. We are actively seeking to fill this position. Toronto, ON Pay Range $135,000—$155,000 CAD
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.