Machine Learning & AI Engineer reference: 138741

This review offers a detailed look at the Lead AI & Machine Learning Engineer position, designed to provide prospective candidates with a clear understanding of the opportunity and its potential career advantages.

Opportunity Overview:

This is a pivotal role for a strategic and technically adept professional to spearhead the design and implementation of AI and Machine Learning solutions within a large, established organization. The position focuses on bridging the gap between advanced modeling and robust engineering practices, with a strong emphasis on productionizing AI/ML pipelines. Candidates will have the chance to not only build and optimize models but also to ensure their seamless integration, scalability, and security within existing systems.

Key Advantages for Candidates:

• Strategic Impact & Thought Leadership: This role offers the opportunity to act as a point of technical expertise and thought leadership. You will be instrumental in shaping the future of AI within the platform, driving adoption of cutting-edge technologies, and identifying opportunities for AI-driven automation.
• End-to-End Solution Ownership: The position encompasses the entire lifecycle of AI/ML solutions, from model development and optimization to deployment, operationalization, and ongoing maintenance. This provides a comprehensive experience in delivering tangible results.
• Engineering Excellence & Mentorship: You will apply and champion software development best practices, including Python testing frameworks, CI/CD, and source control. Furthermore, there's a significant opportunity for line management and/or coaching, allowing you to grow team capabilities and develop leadership skills.
• Scalability and Infrastructure Focus: A core aspect of the role involves scaling AI/ML solutions on strategic infrastructure and integrating them into existing systems. This experience is highly valuable in the current tech landscape.
• Generous Compensation and Benefits: The salary range of £90,440 - £117,040 reflects the seniority and importance of this position. The organization also offers a comprehensive benefits package, including:
  • A substantial pension contribution (up to 15%).
  • Annual performance-related bonuses and share schemes.
  • Flexible benefits to tailor to individual lifestyles.
  • A generous holiday allowance (30 days plus bank holidays).
  • Extensive wellbeing initiatives and parental leave policies.
• Commitment to Diversity and Inclusion: The organization has a strong focus on creating an inclusive workplace that reflects modern society. They actively welcome applications from under-represented groups and are committed to providing reasonable adjustments for candidates with disabilities.
• Flexible Working Options: The role supports hybrid working, allowing for a balance between office-based collaboration and remote flexibility.

Key Considerations for Candidates:

• Technical Depth & Breadth: Candidates should possess a strong foundation in AI/ML modeling techniques, including deep learning. Equally important is a solid understanding of software engineering principles, CI/CD, and robust deployment strategies. The ability to experiment with architectures, hyperparameters, and feature engineering is crucial.
• Productionization Experience: The emphasis on rapidly and efficiently deploying models into production means candidates with proven experience in operationalizing AI/ML solutions will be highly sought after. This includes implementing monitoring and retraining strategies.
• Leadership and Mentorship Skills: Beyond technical prowess, the ability to lead code reviews, mentor colleagues, and drive technical discussions is vital for success in this lead position.
• Hybrid Working Model: While flexible, the hybrid working model requires a commitment to spending at least two days per week, or 40% of time, at an office site. Candidates should consider if this arrangement aligns with their preferences.
• Long-Term Vision: The role is designed for individuals who are passionate about innovation and want to contribute to the long-term strategic direction of AI within a large organization.

Career Path Implications:

This role represents a significant opportunity for career advancement. For experienced AI/ML Engineers, it offers a pathway to leadership, strategic influence, and hands-on experience in scaling complex solutions. The exposure to diverse business challenges and the opportunity to mentor junior colleagues will further enhance your professional development, preparing you for more senior technical or managerial roles in the future. The organization's commitment to innovation and investment in technology suggests a dynamic environment where continuous learning and growth are encouraged.