Lead Machine Learning Solutions Architect

Machine Learning

Lead Machine Learning Solutions Architect
Location: Hybrid (primarily based in London – onsite and ad hoc)
Duration: 6 consecutive months
Price: £800pd to £1200pd (negotiable – let us know what you are looking for)

We are looking for an experienced Lead Machine Learning Solutions Architect who brings applied AI expertise and a track record of shipping AI-enabled user-facing applications at scale. As a Lead AI Solutions Architect, you'll be able to drive the vision and execution of various AI implementations, working closely with teams internally and across our clients. Work in an exciting, fast-paced environment and lead projects that bring together talent in large-scale language models (LLM), recommender systems, machine learning, deep learning, graph learning, information retrieval, software engineering, and accountability. To do. love. We value and encourage diversity, believing that diversity leads to both a great workplace and great products.

• Manage innovative AI teams in LLM, information retrieval, artificial intelligence, machine learning, and deep learning.
• Technical leadership of AI teams in the areas of LLM, NLP, information retrieval, and machine learning.
• Develop and deploy conversation and language understanding models at scale.
• Pushing the boundaries of AI platforms through innovation and partnerships.
• Follow and promote responsible AI and privacy-protecting machine learning best practices.
• Support the recruitment, coaching, mentoring, and career development of AI engineers and solution architects to build teams focused on comprehensive and ambitious AI solutions.
• Work closely with internal and customer AI platform teams to create next-generation AI innovations for our clients' AI-enabled products and services.
• Support and develop a vibrant AI engineering culture that encourages experimentation, scientific processes, and innovation.
• Communicate internally and externally about AI research advances, breakthroughs, and product innovations through publications, presentations, and other media (e.g., blogs, press interviews, etc.).
• Internalize and defend our culture and values.


Required qualifications
• Ph.D. in computer science, mathematics, physics, statistics, or related field. Candidates with a master's degree and industry experience or publications in the fields of LLM, information retrieval, machine learning, and NLP will also be considered.
• 5+ years managing a research or engineering team in machine learning, NLP, information retrieval, or related field.
• Professional experience developing AI models for large-scale production services. We have a track record of successfully translating applied research into production.
• Strong problem solving and data analysis skills. Particularly expertise in developing or applying large-scale predictive analytics, statistical modeling, data mining, or machine learning algorithms.
• Strong people leadership skills that understand team dynamics, have the ability to retain, attract, and develop team members, and influence others.
• Advocates for diversity and inclusion based on a growth mindset.
• Customers are excited and passionate about the impact of AI products.
• Excellent verbal and written communication skills, with the ability to simplify and explain complex ideas.

Desired qualifications
• Publication record (peer-reviewed academic papers, patents, ML libraries).
• Experience speaking as an invited speaker at research/industry community conferences and other events.
• Experience conducting research as part of a research program (in an academic or industry setting).
• Experience developing and deploying large-scale products or systems at multiple points in the product cycle, from ideation to shipment.

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