Discover an impactful opportunity to shape the future of AI and Machine Learning at BT, the world's first telecommunications company. This Senior Machine Learning Engineer role is not just a job; it's a chance to be at the forefront of a significant digital transformation, driving innovation and delivering scalable, secure, and high-impact solutions.
For ambitious professionals, this role offers a compelling blend of technical leadership, strategic influence, and career growth. You'll be instrumental in industrializing ML and AI across BT, collaborating with a diverse array of teams to build robust, production-ready systems. If you're passionate about MLOps, cloud-native AI, and leading engineering teams, this position presents a unique platform to make a tangible difference.
Key Advantages for Candidates:
- Pivotal Role in Transformation: Contribute directly to BT's strategic shift, leveraging data, machine learning, and AI to enhance business operations and customer experiences. This is an opportunity to be part of a company's evolution.
- End-to-End ML Lifecycle Ownership: You will be involved in architecting, building, deploying, and maintaining ML/AI pipelines. This includes designing real-time APIs, batch systems, handling operational challenges like zero-downtime updates and drift monitoring, and ensuring systems are secure, cost-efficient, and compliant.
- Leadership and Mentorship: This role offers the chance to lead and develop an engineering team, fostering a culture of learning, collaboration, and continuous improvement. This is an excellent step for those looking to hone their leadership skills.
- Cutting-Edge Technology Stack: Work with advanced MLOps stacks, cloud platforms (AWS, GCP, Azure), and emerging technologies like LLMs and Generative AI. Experience with platforms such as Amazon Bedrock and Google Vertex AI will be highly valued.
- Focus on FinOps and Security: Embed financial accountability (FinOps) and robust security and data privacy practices into the core of ML/AI development. This emphasis ensures responsible and sustainable AI deployment.
- Hybrid Working Flexibility: Enjoy a balance between in-office collaboration (3 days) and remote work (2 days), promoting a healthy work-life integration.
- Comprehensive Benefits Package: BT offers a competitive salary, attractive bonus potential, extensive leave, a strong pension scheme, and a range of lifestyle benefits including mobile discounts, broadband packages, and more.
- Impactful Company Mission: Be part of a company with a rich heritage and a clear vision for the future, playing a central role in revolutionizing connectivity across the UK.
Key Considerations for Your Career Path:
- Technical Depth and Breadth: The role demands deep expertise in at least one major cloud platform (AWS, GCP, Azure) and a strong understanding of ML/AI engineering principles. Candidates should possess production-level fluency in Python, Docker, and experience with CI/CD and MLOps tooling.
- Leadership Aspirations: If you are looking to grow into a leadership position, this role provides direct experience in leading, mentoring, and developing a team. Be prepared to demonstrate your leadership potential and collaborative approach.
- Problem-Solving Aptitude: The challenges involved in industrializing ML/AI require a proactive and analytical mindset. Candidates should be adept at identifying and solving complex operational issues.
- Continuous Learning: The AI and ML landscape is constantly evolving. A growth mindset and a commitment to staying abreast of new technologies and best practices are essential for success in this role and for long-term career development.
- Cross-Functional Collaboration: Success will depend on your ability to work effectively with Data Scientists, other engineering teams, and stakeholders. Strong communication and interpersonal skills are key.
- Strategic Impact: While deeply technical, this role also requires a commercial awareness and the ability to translate technical solutions into business value.
This is an exceptional opportunity for a seasoned Machine Learning Engineer who is eager to drive innovation, lead teams, and make a significant impact within a leading telecommunications organization. If you are ready to take the next step in your career and contribute to shaping the future of AI at BT, we encourage you to explore this exciting prospect.