Time since we first saw it
Day 21
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.
Senior Data Scientist - Computer Vision
Reads like a ML Engineer role: putting models into production.
Monterrey, Nuevo León, Mexico
Live, first seen by us 21 days ago- 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 postingDesign and deploy computer vision solutions that analyze complex movement from video
Take technical ownership and make informed technical decisions on solutions
Communicate technical trade-offs to technical and non-technical stakeholders
Build pose estimation and object tracking methods for fast-moving sports video
From the employer’s posting
designing, developing, and deploying advanced computer vision solutions to analyze and interpret complex movements from video
taking ownership of technical solutions, making informed technical decisions
communicating effectively with both technical and non-technical stakeholders
Experience working with video involving complex or fast movements
What you’ll bring
All qualificationsCore experience
- Hands-on experience deploying computer vision systems to production
- Proficiency in Python and PyTorch
- Experience training, fine-tuning, and evaluating deep learning models
- Strong skills in object detection, 2D pose estimation and object tracking
- Excellent English written and verbal communication
Qualification wording
Hands-on experience developing and deploying computer vision systems to production.
Proficiency in Python and PyTorch.
Experience training, fine-tuning, and evaluating deep learning models.
Object and people detection.
Excellent written and verbal communication skills in English
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 14, 202621 days ago
- Recorded sightings
- 44
- 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
- Azure
- PyTorch
Where the posting names them
- Temporal modeling across video sequences. - Proficiency in Python and PyTorch. - Experience training, fine-tuning, and evaluating deep learning models.
- Familiarity with biomechanics, human movement analysis, or movement screening. - Experience working in a Microsoft Azure environment. - Previous experience with Sports AI or sports performance analytics.
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
Has Endava posted this job before?
Yes. We’ve followed one other Senior Data Scientist - Computer Vision job there since October 2026. It is still up.
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 a highly skilled and motivated Senior Data Scientist specializing in Computer Vision and complex motion analysis to work on a world-class sports performance solution.
The role involves designing, developing, and deploying advanced computer vision solutions to analyze and interpret complex movements from video. You will work closely with the client's team, taking ownership of technical solutions, making informed technical decisions, and communicating effectively with both technical and non-technical stakeholders.
Qualifications
- Hands-on experience developing and deploying computer vision systems to production.
- Strong Computer Vision expertise in:
- Object and people detection.
- Motion analysis and understanding of complex movement patterns.
- 2D pose estimation or other advanced motion analysis techniques.
- Object tracking using modern computer vision methods.
- Temporal modeling across video sequences.
- Proficiency in Python and PyTorch.
- Experience training, fine-tuning, and evaluating deep learning models.
- Comfortable with dataset curation, annotation workflows, and model evaluation metrics.
- Experience working with video involving complex or fast movements, including challenges such as high frame rates, motion blur, and occlusions.
- Experience with custom pose estimation approaches, including developing or adapting existing models, skeleton structures, or keypoint definitions.
- Ability to independently design technical solutions, evaluate different approaches, and make informed technical decisions.
- Strong problem-solving skills, technical ownership, and the ability to work with minimal supervision.
- Excellent written and verbal communication skills in English, with the ability to explain technical decisions, discuss trade-offs, and collaborate directly with client teams.
Strong Plus:
- Experience with 3D pose estimation or 2D-to-3D pose lifting from video.
- Experience generating and rendering synthetic data for model training.
Nice to Have
- Familiarity with biomechanics, human movement analysis, or movement screening.
- Experience working in a Microsoft Azure environment.
- Previous experience with Sports AI or sports performance analytics.
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, 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
Monterrey, Nuevo León, Mexico
- 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.