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About the Role
Help build AI that protects the world's most valuable content by analyzing streaming, network, and behavioral data to uncover organized piracy, identify abnormal activity, and provide actionable intelligence. This role focuses on applying AI to solve real customer problems alongside software engineers, intelligence analysts, and product managers.
Responsibilities
- Explore and understand complex datasets
- Design and train machine learning models
- Build AI-powered applications
- Write clean, maintainable Python code
- Work closely with Engineering to deploy production systems
- Collaborate with Product and Operational Intelligence teams
- Experiment with new AI techniques and technologies
- Develop intelligent systems that detect organized piracy activity
- Identify abnormal behavioral patterns
- Analyze large-scale streaming and network data
- Automate investigations using LLMs and AI agents
- Discover hidden relationships across billions of events
- Turn complex data into products customers rely on every day
Requirements
- Experience in Python
- Experience in SQL
- Experience in Machine Learning
- Experience with cloud platforms such as AWS
- Experience working with large datasets
- Experience in production software development
- Experience with LLMs is useful, but not essential
- Experience with AI Agents is useful, but not essential
- Experience with PyTorch is useful, but not essential
- Experience with XGBoost is useful, but not essential
- Experience with Graph analytics is useful, but not essential
- Experience with Behavioural modelling is useful, but not essential
- Experience with Cyber security is useful, but not essential
- Experience with Network analytics is useful, but not essential
Skills
- Python
- SQL
- Machine Learning
- AWS
- LLMs
- AI Agents
- PyTorch
- XGBoost
- Graph analytics
- Behavioural modelling
- Cyber security
- Network analytics
- Scikit-learn
- Docker
- GitHub
- Claude Code
- GitHub Copilot
Location
- Manchester (Hybrid)
- London (Hybrid)
Work Type
- Hybrid
Benefits
- 25 days of annual leave (Incl. Bank Holidays) + 1 day off for your birthday
- Enhanced Pension - 5% employee and 5% employer contribution
- Life Assurance - on the successful completion of your probation (4x your salary)
- BUPA (on the successful completion of your probation)
- Employee Assistance Programme
- Enhanced Maternity, Paternity and Adoption Leave (after a qualifying period)
- Various Learning and Development Platforms
- A flexible Benefits and Wellbeing Platform
- Full tech set up to ensure you have what you need to be successful in your role
- Weekly breakfasts in the office
- Mentorship: Direct access to senior data scientists and engineers in a supportive, high-growth environment.
- Impact: The chance to work on technology that protects some of the most valuable media rights in the world.
- Growth: A clear career progression path within a private-equity-backed, global tech company.
About the Company
- Friend MTS helps the world's leading broadcasters, sports organisations and streaming platforms understand, detect and disrupt digital piracy at internet scale.
- We're investing heavily in AI to solve problems that traditional software can't.
- We are dedicated to nurturing and expanding a culture of belonging where everyone feels seen, heard, valued for who they are.
- By embracing the diversity of our people (and future people!) we achieve our best work, together.
Equal Opportunity
- We ensure that at all stages of our hiring process, your education level, neurodivergence, background, race, religion, colour, sex, age, sexual orientation, national origin, or disability will not influence your chances for selection.
- If you are interested in applying for a role at Friend MTS and need special assistance, please make us aware and we will support you in accommodating this.