Time since we first saw it
Day 15
Similar jobs usually come down between day 7 and day 54.
At Farfetch, jobs usually come down by about day 43.
From 8,126 similar postings that came down, and 12 of Farfetch’s. Coming down is not always a hire.
Machine Learning Engineering Manager
Reads like a Data Leadership role: running a data team.
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDevelop and execute the strategic roadmap for machine learning projects focused on search and recommendations, ensuring alignment with business objectives.
Work closely with senior leadership, product managers, and other stakeholders to define project requirements, set priorities, and ensure successful project delivery.
Ensure the quality and reliability of machine learning models and systems through rigorous testing, monitoring, and continuous improvement practices.
From the employer’s posting
Team Leadership: Lead, mentor, and manage a team of software engineers, data scientists, and machine learning engineers, fostering a collaborative and innovative environment. Develop and execute the strategic roadmap for machine learning projects focused on search and recommendations, ensuring alignment with business objectives. Provide technical guidance and oversight for the design, implementation, and optimization of machine learning models and systems.
Oversee the development of end-to-end machine learning solutions, including architecture implementation, data pipeline construction, model serving solutions, and productionizing models. Work closely with senior leadership, product managers, and other stakeholders to define project requirements, set priorities, and ensure successful project delivery. Ensure the quality and reliability of machine learning models and systems through rigorous testing, monitoring, and continuous improvement practices.
Work closely with senior leadership, product managers, and other stakeholders to define project requirements, set priorities, and ensure successful project delivery. Ensure the quality and reliability of machine learning models and systems through rigorous testing, monitoring, and continuous improvement practices. Foster technological innovation within the team, encouraging the adoption of state-of-the-art techniques and tools, and ensuring the team's output evolves with industry advancements.
What you’ll bring
All qualificationsCore experience
- Strong expertise in machine learning, data science, and software engineering, with hands-on experience in Python, TensorFlow, PyTorch, Scikit-learn, and other relevant libraries and frameworks.
- Proven experience in leading and managing engineering teams, with a track record of delivering successful machine learning projects.
- Ability to develop and communicate a clear vision for the team's work, aligning it with the company's goals and ensuring a strategic approach to problem-solving.
Qualification wording
Strong expertise in machine learning, data science, and software engineering, with hands-on experience in Python, TensorFlow, PyTorch, Scikit-learn, and other relevant libraries and frameworks.
Proven experience in leading and managing engineering teams, with a track record of delivering successful machine learning projects.
Ability to develop and communicate a clear vision for the team's work, aligning it with the company's goals and ensuring a strategic approach to problem-solving.
Education & alternatives
WHO YOU ARE - BSc, MSc, or PhD in relevant fields such as Computer Science, Machine Learning, Data Science, or related disciplines. - Strong expertise in machine learning, data science, and software engineering, with hands-on experience in Python, TensorFlow, PyTorch, Scikit-learn, and other relevant libraries and frameworks.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 21, 202615 days ago
- Recorded sightings
- 18
- Last seen by us
- Nov 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Farfetch is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
THE ROLE We are seeking an experienced and highly motivated Machine Learning Engineering Manager to lead our team in building an advanced personalization platform for online services. You will oversee a dynamic, interdisciplinary team comprising software engineers, data scientists, and machine learning engineers, focusing on implementing and optimising machine learning models for search, recommendations, and hyper-personalization. The platform serves millions of requests daily, powered by Python microservices and processes billions of data points to hyper-personalise the customer experience. Reporting directly to senior leadership, you will play a pivotal role in guiding the team to achieve technical excellence and deliver cutting-edge solutions. WHAT YOU'LL DO
- BSc, MSc, or PhD in relevant fields such as Computer Science, Machine Learning, Data Science, or related disciplines. - Strong expertise in machine learning, data science, and software engineering, with hands-on experience in Python, TensorFlow, PyTorch, Scikit-learn, and other relevant libraries and frameworks. - Proven experience in leading and managing engineering teams, with a track record of delivering successful machine learning projects.
Your next step
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Applying through Lever
- No account needed: one form, and Lever reads your resume into the profile recruiters search.
Already applied? Track this application
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
FARFETCH exists for the love of fashion. Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers.
We're a positive platform for good, bringing together an incredible creative community made up by our people, our partners and our customers. This community is at the heart of our business success. We welcome differences, empower individuality and celebrate diverse skills and perspectives, creating an inclusive environment for everyone. We are FARFETCH for All.
TECHNOLOGY
We're on a mission to build the technology that powers the global platform for luxury fashion. We operate a modular end-to-end technology platform purpose-built to connect the luxury fashion ecosystem worldwide, addressing complex challenges and enjoying it. We're empowered to break traditions and revolutionise, with the freedom and autonomy to make a difference for our customers all over the world.
PORTO
Our Porto office is located in Portugal's vibrant second city, known for its history and its creative yet cosy environment. You can have an informal meeting in the treehouse or play the piano during your lunch break!
THE ROLE
We are seeking an experienced and highly motivated Machine Learning Engineering Manager to lead our team in building an advanced personalization platform for online services. You will oversee a dynamic, interdisciplinary team comprising software engineers, data scientists, and machine learning engineers, focusing on implementing and optimising machine learning models for search, recommendations, and hyper-personalization. The platform serves millions of requests daily, powered by Python microservices and processes billions of data points to hyper-personalise the customer experience. Reporting directly to senior leadership, you will play a pivotal role in guiding the team to achieve technical excellence and deliver cutting-edge solutions.
WHAT YOU'LL DO
- Team Leadership: Lead, mentor, and manage a team of software engineers, data scientists, and machine learning engineers, fostering a collaborative and innovative environment.
- Develop and execute the strategic roadmap for machine learning projects focused on search and recommendations, ensuring alignment with business objectives.
- Provide technical guidance and oversight for the design, implementation, and optimization of machine learning models and systems.
- Oversee the development of end-to-end machine learning solutions, including architecture implementation, data pipeline construction, model serving solutions, and productionizing models.
- Work closely with senior leadership, product managers, and other stakeholders to define project requirements, set priorities, and ensure successful project delivery.
- Ensure the quality and reliability of machine learning models and systems through rigorous testing, monitoring, and continuous improvement practices.
- Foster technological innovation within the team, encouraging the adoption of state-of-the-art techniques and tools, and ensuring the team's output evolves with industry advancements.
- Conduct regular performance reviews, provide feedback, and support the professional development of team members.
- Promote a culture of continuous learning and improvement, staying updated with the latest advancements in machine learning and related fields, and encouraging team members to do the same.
WHO YOU ARE
- BSc, MSc, or PhD in relevant fields such as Computer Science, Machine Learning, Data Science, or related disciplines.
- Strong expertise in machine learning, data science, and software engineering, with hands-on experience in Python, TensorFlow, PyTorch, Scikit-learn, and other relevant libraries and frameworks.
- Proven experience in leading and managing engineering teams, with a track record of delivering successful machine learning projects.
- Ability to develop and communicate a clear vision for the team's work, aligning it with the company's goals and ensuring a strategic approach to problem-solving.
- Strong project management skills, including the ability to prioritize tasks, manage resources, and deliver projects on time and within budget.
- Exceptional communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
- Passion for staying updated with the best practices and tools of modern software engineering, machine learning advancements, and advocating for continuous improvement within the team.
Employment type
Full-time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Porto
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.