Machine Learning Engineer

5V Video; Greater London; On-site; GBP 54,000 - 66,000; Full time

Job summary

5V Video is seeking an experienced ML/AI Engineer to shape intelligence capabilities for its cloud-based broadband platform. You will apply machine learning to real-world home-networking challenges, using telemetry from millions of devices, and take models from experimentation to production deployment.

The role focuses on Wi-Fi performance, anomaly detection, and QoE optimization, with collaboration across product, cloud, firmware, and hardware teams. Hybrid West London arrangement offered.

Qualifications

• 2+ years of experience in ML, data science, or applied AI.
• Strong Python skills and TensorFlow or an equivalent ML framework.
• Experience deploying ML models in production systems.
• Ability to analyze noisy real-world datasets.
• Understanding of Wi‑Fi standards (802.11a/b/g/n/ac/ax/be).
• Knowledge of broadband gateways, CPE, mesh networks, and extenders.
• Familiarity with TR-369/USP, TR-069, and telemetry models.
• Understanding RF/Wi‑Fi metrics (RSSI, SNR, PHY rates, etc.).
• Experience with cloud or edge ML architectures.
• Exposure to LLMs for networking or diagnostics.

Responsibilities

• Develop ML models for Wi-Fi performance prediction and classification.
• Detect anomalies across home networks and CPE telemetry.
• Identify root causes of customer connectivity issues.
• Optimize channel, band steering, and mesh/extender behavior.
• Cluster traffic patterns and develop QoE scoring models.
• Build scalable pipelines for feature extraction and data ingestion.
• Experiment with deep learning, time-series forecasting, RL, and LLM-based agents.
• Develop models that stay effective with sparse/noisy telemetry.
• Integrate ML components via microservices and cloud/edge environments.
• Work with large-scale datasets covering millions of devices.
• Contribute to data models and analytics architectures for broadband/Wi-Fi.
• Collaborate with product, cloud, firmware, hardware teams to define ML capabilities.

Skills

Machine learning

Python

Model deployment

Analytical skills

Wi-Fi standards

Networking hardware

TR-069

Wi-Fi metrics

Cloud/edge ML

LLMs in networking

Tools

TensorFlow

Job description

Permanent

West London - Hybrid

Up to £60,000

I’m supporting a global media technology organisation looking for an experienced ML/AI Engineer to help shape the intelligence capabilities within its cloud-based broadband platform.

This role will focus on applying machine learning to real-world home-networking challenges, including Wi‑Fi performance, anomaly detection, connectivity issues, and quality of experience. You’ll work with telemetry from millions of connected devices, taking models from experimentation through to scalable production deployment.

What you’ll be working on:

• Developing ML models for Wi‑Fi performance prediction and classification
• Detecting anomalies across home networks and CPE telemetry
• Identifying the root causes of customer connectivity issues
• Optimising channel selection, band steering and mesh/extender behaviour
• Clustering traffic patterns and developing QoE scoring models
• Building scalable pipelines for feature extraction, data ingestion, and real‑time inference
• Experimenting with deep learning, time‑series forecasting, reinforcement learning, and LLM-based support agents
• Developing models that remain effective when telemetry is sparse, noisy, or delayed
• Integrating ML components through microservices, cloud functions, and edge‑processing environments
• Working with large‑scale datasets covering millions of devices
• Contributing to data models and analytics architectures for broadband and Wi‑Fi products
• Collaborating with product, cloud, firmware, and hardware teams to define new ML-driven capabilities

Skills Required:

• 2+ years of experience in machine learning, data science, or applied AI
• Strong Python skills and practical experience with TensorFlow or a comparable ML framework
• Experience developing and deploying ML models within production systems
• Strong analytical skills and confidence working with noisy, real‑world datasets
• Understanding of Wi‑Fi standards, including 802.11a/b/g/n/ac/ax/be
• Knowledge of broadband gateways, CPE, mesh networks, and Wi‑Fi extenders
• Familiarity with TR-369/USP, TR-069, and broadband telemetry models
• Understanding of RF and Wi‑Fi metrics such as RSSI, SNR, PHY rates, airtime, retries, congestion, DFS, and client steering
• Experience with cloud or edge-based ML architectures
• Exposure to LLMs applied to networking, diagnostics, or technical‑support automation

Why consider it?

You’ll join an international technology business operating at the intersection of media, cloud, broadband and connected‑home technology. The environment offers the opportunity to work on large‑scale, technically complex products while continuing to develop your skills across ML, cloud and data engineering.