AI & Machine Learning Specialist
Role details
Job location
Tech stack
Job description
You'll be joining a specialist security team that is a trusted partner to governments worldwide, protecting critical national infrastructure and committed to the safety and security of our nation and global communities. Our mission focused work is innovative, inspiring and technologically challenging in a way that makes every day different and stimulating. We provide the opportunity to work on rare projects, with exciting tools and brilliant people. Everyone has access to unparalleled professional and personal development opportunities and your contribution is always valued., * Leads the extraction and analysis of big data through the application of Data Science & AI techniques to generate insight from data to support decision-making across the business or to embed in new products and services.
- Mentors other Data Science & AI professionals, helping to improve the team's abilities by acting as a technical resource.
- Monitors the latest technology and market trends related to data science and machine learning operations and artificial intelligence, sharing this knowledge with the team.
- Operates as an SME within own field of expertise, defining the technology infrastructure which enables optimal building and deployment of data science and machine learning algorithms.
- Works to identify and prioritise high-impact internal/external opportunities aligned with business goals.
Requirements
- Technology Deployment
- Solution Design
- System Design
- Growth Mindset
- Cloud Computing
What we'd like to see on your CV
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Artificial Intelligence: Experience deploying deep learning and vldl models including frontier LLMs.
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Software Development: Highly experienced with compiled and interpreted languages such as Python and Scala/Java, confident with common in libraries like Pandas, NumPy.
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MLOps: Skilled in designing and implementing scalable machine learning operations, including model deployment, monitoring, and lifecycle management. Familiar with CI/CD practices, containerization, and cloud-native ML workflows to ensure robust and reproducible solutions.
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Data Exploration: Proficient in uncovering insights through structured and unstructured data analysis. Able to identify patterns, anomalies, and trends using statistical techniques and visualization tools, supporting hypothesis generation and business decision-making.
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Big Data Platforms: Experienced in working with distributed data processing technologies such as Hadoop, Spark, and cloud-based data lakes. Capable of architecting and optimizing data pipelines for high-volume, high-velocity data environments to enable scalable analytics.
Benefits & conditions
- Competitive salary + 10% On Target Bonus
- BT Pension scheme, minimum 5% Employee contribution, BT contribution 10%
- On-call allowance (Depending on role requirements)
- 25 days annual leave (not including bank holidays), increasing with service
- Huge range of flexible benefits including cycle to work, healthcare, season ticket loan
- World-class training and development opportunities
- From January 2025, equal family leave: receive 18 weeks at full pay, 8 weeks at half pay and 26 weeks at the statutory rate. It's for all parents, no matter how your family is made up.
- Enhanced women's health support: including help with menopause symptoms, cancer screenings, period care and more.
- 24/7 private virtual GP appointments for UK colleagues
- 2 weeks paid carer's leave
- World-class training and development opportunities
- Option to join BT Shares Saving schemes.
- Discounted broadband, mobile and TV packages
- Access to 100's of retail discounts including the BT shop
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