Senior Software Engineer in Weybridge

Senior Software Engineer in Weybridge

Weybridge Full-Time 60000 - 75000 £ / year (est.) Home office (partial)
United States Digital Space LLC

At a Glance

  • Tasks: Develop innovative ML models and collaborate on exciting AI projects.
  • Company: Join Synamedia, a global leader in media and entertainment solutions.
  • Benefits: Enjoy flexible working, competitive pay, and endless growth opportunities.
  • Other info: Be part of a diverse team that values curiosity and innovation.
  • Why this job: Shape the future of connectivity with cutting-edge technology and impactful projects.
  • Qualifications: 3-5 years in machine learning and strong analytical skills required.

The predicted salary is between 60000 - 75000 £ per year.

Company Overview

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!

About the Job

The Gravity AI/ML Engineer will play a pivotal role in extending and shaping the machine learning and AI implementation within Gravity Cloud service. The successful candidate will be able to implement models that deliver innovative actionable intelligence for Gravity users.

Key Responsibilities

  • 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 behaviour
    • 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.

Technical Expertise

  • 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 home 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.

Growth Opportunities

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.

A Culture of Belonging

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.

Senior Software Engineer in Weybridge employer: United States Digital Space LLC

United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Software Engineer in Weybridge

Join Local Tech Meetups

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Contribute to Open Source Projects

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We think you need these skills to ace Senior Software Engineer in Weybridge

Machine Learning
Data Science
Python
TensorFlow
Wi-Fi Standards (802.11a/b/g/n/ac/ax/be)
Broadband Gateways
Mesh Networking

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at United States Digital Space LLC.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at United States Digital Space LLC

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If United States Digital Space LLC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.