Senior MLOps

1 day ago

London Area, United Kingdom Nicholson Glover Full time


Senior MLOps & Computer Vision Architect

6-Month Contract | Build the Entire Production Pipeline | Azure | Sports AI

Are you a senior MLOps or Computer Vision engineer who loves
owning the whole pipeline end to end
?

Do you want to build something
from scratch
, move fast, and see your work in production within years?

If so, this is
the
role.

We're a leading sports data analytics company using computer vision to analyse live and on-demand sports footage and measure brand visibility. Our clients rely on our platform to understand the true value of global sponsorship deals.

We're now looking for a
hands-on Architect/Engineer
to own the full build of our next-generation ML pipeline — from data ingestion through to inference, metrics and human-in-the-loop feedback.

This is a rare opportunity to
design, build, and ship a complete production system
, not just contribute to part of one.


What You'll Own (End-to-End)

1. MLOps & Azure Architecture

You'll architect and build our entire cloud-native MLOps platform on Azure, including:

  • High-throughput video processing infrastructure
  • Robust data pipelines (Encord → Azure → Roboflow)
  • Automated model training + versioning
  • Deployment of high-performance inference services
  • ETL pipelines to turn predictions into client-ready metrics

This is full system ownership — and you'll be the one building it.

2. Computer Vision Strategy & Model Lifecycle

You will define how we track brand assets across sports video and social media content by:

  • Designing the CV approach (models, data strategy, optimisation)
  • Integrating Encord annotations with Roboflow training pipelines
  • Deploying and optimising the model at scale
  • Setting up monitoring to catch model drift before it becomes a problem

3. Human-in-the-Loop (HITL) Tooling

You'll build the analyst verification interface that:

  • Flags low-confidence detections
  • Lets analysts quickly confirm/correct outputs
  • Feeds improved data straight back into the training pipeline

This is the backbone of our continuous learning loop.

4. Knowledge Transfer

At the end of the project you'll hand over:

  • Documentation
  • Architecture diagrams
  • Runbooks
  • Codebase walkthroughs

So our internal team can take full ownership.


Why This Role Is Special

  • True ownership:
    You design it, you build it, you ship it.
  • No legacy tech:
    Clean slate. You choose the right tools and architecture.
  • Real-world impact:
    Your system will power visibility metrics used by global brands.
  • Massive scope:
    MLOps, CV, cloud architecture, inference, ETL, HITL — all yours.
  • Fast-moving domain:
    Sports + AI + video = one of the most exciting fields right now.

If you're tired of being one engineer on a huge team and want to
own the entire machine
, this is your chance.


What We're Looking For

You don't need every keyword — but you should have strong experience with:

  • Building production MLOps systems on
    Azure
  • Designing data pipelines and automated model lifecycles
  • Deploying and optimising
    computer vision
    models (YOLO, Detectron, etc.)
  • Working with annotation tools (Encord, Labelbox, Roboflow, etc.)
  • Creating scalable inference systems for video/image workloads
  • Building HITL or internal analyst tooling
  • Shipping production systems in fast-paced environments

This is a senior, hands-on architect role — ideal for someone who likes building things properly and getting things done.


Contract Details

  • 6-month contract (likely extension)
  • Competitive day rate
  • Hybrid initially then possible remote UK
  • Start date: Jan 2026


How to Apply

If you're excited by building an entire ML platform from scratch — and want your work to power sponsorship decisions for global brands — we'd love to speak with you.

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