Senior Software Engineer

Synamedia
Weybridge, UK
29 days ago
Apply on uk.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Big Data Firmware Python (Programming Language) Machine Learning Mesh Networking Tensorflow Systems Integration Reinforcement Learning Wi-Fi Technology Data Ingestion Large Language Models Deep Learning
+3 more
Home Networking Feature Extraction Microservices

Job description

  • Develop ML models for:
  • Wi-Fi performance prediction and classification
  • Anomaly detection in home networks and CPE telemetry
  • Root-cause analysis for subscriber connectivity issues
  • Optimization of channel selection, band steering, mesh/Extender behavior
  • Traffic pattern clustering and QoE scoring
  • Build scalable pipelines for feature extraction, data ingestion, and real-time inference using cloud-based or edge-based architectures.
  • Evaluate and experiment with modern AI methods (e.g., deep learning, time-series forecasting, reinforcement learning for Wi-Fi optimization, LLM-based agents for support flows).
  • Work with broadband gateway telemetry (TR-369/USP, TR-069, proprietary CPE metrics, Wi-Fi driver outputs).
  • Analyze RF/Wi-Fi metrics such as RSSI, SNR, PHY rates, airtime, retries, congestion, DFS, client steering data.
  • Develop models that operate effectively with sparse, noisy, or delayed CPE telemetry.
  • Collaborate with firmware/hardware teams to define required CPE telemetry and event streams.

Systems Integration & Deployment

  • Integrate ML components into production systems via microservices, cloud functions, or embedded edge processing.
  • Work with large-scale datasets (millions of devices) to build reliable, high-availability intelligence pipelines.
  • Contribute to data-modeling standards and analytics architectures for broadband and Wi-Fi products.

Cross-Functional Collaboration

  • Partner with product managers to define ML-driven features for home connectivity, QoE scoring, and customer-support automation.
  • Work with engineering teams to ensure models are feasible across cloud, controller, and CPE environments.
  • Communicate results and recommendations to technical and non-technical stakeholders
  • Participate in an on-call rotation for after-hours / weekend production incidents

Requirements

Machine Learning: 3-5+ years of experience in machine learning, data science, or applied AI

ML Frameworks: Demonstratable expertise in Python, Tensor Flow, or similar

Broadband WiFi Expertise: Solid understanding of Wi-Fi standards (802.11a/b/g/n/ac/ax/be), broadband gateways, mesh networking, extenders, TR-369/USP, TR-069, telemetry models, and jome Wi-Fi KPIs and RF fundamentals

Analytical Skills: Strong analytical skills and the ability to work with noisy real-world data.

LLM: Experience with LLMs applied to networking or technical support automation

Benefits & conditions

When welcoming new talent into the team, we are always looking for opportunities to bring in new ideas, those who ask challenging questions and have the curiosity to learn. These qualities are important to us as we nurture a culture of innovation, seize more opportunities to partner with our customers and make a difference as we transform the future of video. To further support your growth and that of our talent pool, Synamedia offers an exhaustive library of skill enhancement resources from AWS, SkillSoft and other partners to help you upskill while on the job. Be it data analytics that piques your brain or content creation, there’s something for every kind of mind.

Benefits and Perks

  • Flexible working arrangements.
  • Competitive pay hikes and bonus packages.
  • Skill enhancement and growth opportunities.
  • Equal opportunity employment.
  • Health and wellbeing programmes.
  • Collaborative work with a truly global team.

About the company

At Synamedia, we’re a global team of 800+ trailblazers across 17 countries, revolutionizing how the world is entertained and informed.

Synamedia helps many of the world’s leading operators and media companies create, deliver and monetise next-generation video experiences across mobile and big screen. Combining integrated platforms, cloud innovation and trusted operational expertise, Synamedia enables customers to grow audiences, increase engagement, and accelerate digital transformation.

Our solutions have been built over the last three decades and are trusted by giants like Astro, Sky, beIN Sports, Vodafone, OSN, Etisalat and many more.

Ready to grow with us and shape the future of media and entertainment solutions? Let’s do it together!, Synamedia is committed to promoting a diverse, inclusive and equal opportunity community - a place where we can all be ourselves and succeed. Our values connect us, and we love to win together. We work with a bias to action, have a bold approach and encourage being deeply curious to grow and evolve, as a team.

In our aim to foster a people-friendly environment, we offer a range of family friendly, inclusive employment policies, flexible working arrangements, engagement activities and services to support all our colleagues across our 20 office locations. Synamedia regularly organises community events that promote cohesion and diversity among colleagues. We are proud of our mental health wellbeing initiatives, our Pride month awareness campaign, our cancer awareness programme and much more.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on uk.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:19 min

Orchestrating over-the-air firmware updates for vehicle modules

Denis Grahovac · World Congress 2021

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

43 sec

Software engineering journey and local Manchester roots

Jonathan Tang · Coffee With Developers

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

3:23 min

Exploring specialized career paths within the data science ecosystem

Julian Joseph · LIVE

Videos

See all

Related articles

See all