Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 70.
At Endava, jobs usually come down by about day 32.
From 4,452 similar postings that came down, and 85 of Endava’s. Coming down is not always a hire.
Machine Learning Engineer
Buenos Aires, Buenos Aires, Argentina
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDeploy models as reliable, low-latency services for the mobile app backend
Build and schedule feature pipelines, including daily customer score refresh
Integrate market-news and product analytics data into the data warehouse
Implement model monitoring, drift detection, alerting and retraining workflows
Set up deployment patterns, CI/CD and testing standards for ML in production
From the employer’s posting
Deploy models as reliable, low-latency services consumed by the mobile app backend
Build and schedule feature pipelines, including daily refresh of customer-level scores
Integrate an external market-news feed (e.g. Refinitiv/LSEG) and product analytics data (Amplitude, in-app video engagement) into our data warehouse
Implement model monitoring, drift detection, alerting and retraining workflows
Establish deployment patterns, CI/CD and testing standards for ML in our production environment
What you’ll bring
All qualificationsCore experience
- 4+ years in software or ML engineering, with models running in production
- Strong Python; model serving via REST/gRPC APIs, Docker and Kubernetes or equivalent
- Experience in high-availability environments where outages affect customers
Qualification wording
4+ years in software or ML engineering, with models running in production
Strong Python; model serving via REST/gRPC APIs, Docker and Kubernetes or equivalent
Experience in high-availability environments where outages affect customers
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 2
- Last seen by us
- Nov 5, 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
Endava is hiring
66 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- Takes jobs down at a usual pace
- 35% of open jobs were reposted
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
- AWS
- Docker
- Kubernetes
- MLflow
- S3
- SageMaker
- Airflow
Where the posting names them
- 4+ years in software or ML engineering, with models running in production - Strong Python; model serving via REST/gRPC APIs, Docker and Kubernetes or equivalent - AWS experience (e.g. S3, compute, managed ML services)
- Strong Python; model serving via REST/gRPC APIs, Docker and Kubernetes or equivalent - AWS experience (e.g. S3, compute, managed ML services) - Data pipelines and orchestration (Airflow or similar), including third-party API integration
- Financial services, brokerage or other regulated-industry experience - Feature stores and ML platforms (e.g. MLflow, SageMaker, Feast) - Market data or financial news feeds
- AWS experience (e.g. S3, compute, managed ML services) - Data pipelines and orchestration (Airflow or similar), including third-party API integration - CI/CD, infrastructure-as-code and observability tooling
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% 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 ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Job Description
We are seeking ML Engineers to take machine learning models into production for our new mobile trading app. They will deploy, operate and monitor the models, and build the data pipelines those models depend on.
What they will do
- Deploy models as reliable, low-latency services consumed by the mobile app backend
- Build and schedule feature pipelines, including daily refresh of customer-level scores
- Integrate an external market-news feed (e.g. Refinitiv/LSEG) and product analytics data (Amplitude, in-app video engagement) into our data warehouse
- Implement model monitoring, drift detection, alerting and retraining workflows
- Establish deployment patterns, CI/CD and testing standards for ML in our production environment
- Document everything needed for long-term ownership and deliver a handover plan
Qualifications
Must have
- 4+ years in software or ML engineering, with models running in production
- Strong Python; model serving via REST/gRPC APIs, Docker and Kubernetes or equivalent
- AWS experience (e.g. S3, compute, managed ML services)
- Data pipelines and orchestration (Airflow or similar), including third-party API integration
- CI/CD, infrastructure-as-code and observability tooling
- Experience in high-availability environments where outages affect customers
Nice to have
- Financial services, brokerage or other regulated-industry experience
- Feature stores and ML platforms (e.g. MLflow, SageMaker, Feast)
- Market data or financial news feeds
Additional Information
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
- Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
- Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
- Health: Global internal wellbeing programme, access to wellbeing apps;
- Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.
At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.
Company Description
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.
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
Buenos Aires, Buenos Aires, Argentina
- Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; - Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; - Health: Global internal wellbeing programme, access to wellbeing apps;
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.