At a Glance
- Tasks: Develop and deploy machine learning models for real-world home networking challenges.
- Company: Global media technology organisation at the forefront of innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for skill development.
- Other info: Collaborate with diverse teams and work on large-scale, complex products.
- Why this job: Make a real impact on cutting-edge technology in a dynamic environment.
- Qualifications: 2+ years in machine learning, strong Python skills, and experience with TensorFlow.
The predicted salary is between 60000 - 60000 £ per year.
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.
Machine Learning Engineer employer: 5V Video
5V Video is an excellent employer that fosters a collaborative and innovative work culture in the vibrant location of Isleworth, UK. Employees benefit from continuous professional development opportunities, competitive compensation, and a supportive environment that encourages creativity and growth. Join us to be part of a forward-thinking team dedicated to pushing the boundaries of video technology.
