Nathan Wills

I'm currently supporting a well-backed SaaS scale-up on a mission to reshape how global companies navigate product compliance and market access — through applied Generative AI.They’ve already begun integrating LLMs and intelligent agents across their platform and are now hiring a Head of AI to lead this transformation into a fully AI-powered offering — moving from software-as-a-service to what they’re calling “results-as-a-service”.Here’s a snapshot of the opportunity:🔹 Build & scale an internal AI function — growing a high-performing team of engineers & scientists🔹 Drive vision & hands-on strategy across GenAI, NLP, data pipelines, and inference at scale🔹 Architect AI agents that automate complex regulatory tasks using varied unstructured data🔹 Collaborate directly with the CTO and cross-functional teams to deliver AI-driven product capabilities🔹 Be the internal champion of AI across the company, while shaping externally-visible thought leadership🧠 Ideal profile they’re looking for:15+ years of experience in Data Science / AI in commercial environmentsProven record of leading AI teams and scaling generative AI into productionStrong depth in ML, data engineering, and cloud-native architecturesProficiency with Python and modern ML libraries; experience with AWS is a plusAbility to set technical direction while remaining hands-on when needed💼 Remote-first (UK/Ireland)💬 Clear path to influence strategy at C-level with strong internal support for innovationIf this sort of challenge aligns with your experience — or if you'd be curious to explore it in more detail — feel free to send your CV/resume and we'll be in touch to discuss further!

I'm currently supporting a well-backed SaaS scale-up on a mission to reshape how global companies navigate product compliance and market access — through applied Generative AI.They’ve already begun integrating LLMs and intelligent agents across their platform and are now hiring a Head of AI to lead this transformation into a fully AI-powered offering — moving from software-as-a-service to what they’re calling “results-as-a-service”.Here’s a snapshot of the opportunity:🔹 Build & scale an internal AI function — growing a high-performing team of engineers & scientists🔹 Drive vision & hands-on strategy across GenAI, NLP, data pipelines, and inference at scale🔹 Architect AI agents that automate complex regulatory tasks using varied unstructured data🔹 Collaborate directly with the CTO and cross-functional teams to deliver AI-driven product capabilities🔹 Be the internal champion of AI across the company, while shaping externally-visible thought leadership🧠 Ideal profile they’re looking for:15+ years of experience in Data Science / AI in commercial environmentsProven record of leading AI teams and scaling generative AI into productionStrong depth in ML, data engineering, and cloud-native architecturesProficiency with Python and modern ML libraries; experience with AWS is a plusAbility to set technical direction while remaining hands-on when needed💼 Remote-first (UK/Ireland)💬 Clear path to influence strategy at C-level with strong internal support for innovationIf this sort of challenge aligns with your experience — or if you'd be curious to explore it in more detail — feel free to send your CV/resume and we'll be in touch to discuss further!

Our client, a ML Focused consultancy are looking for a German-speaking AI Engineering Consultant to join a fast-growing team in Basel and drive impactful AI transformations! (They also have a several ongoing projects in Zurich)🔥💡 Why this role?You’ll be at the forefront of AI & ML adoption, helping organizations design, build & scale ML solutions beyond prototypes. You won’t just write code—you’ll shape AI strategy, implement best practices, and enable teams to unlock the full potential of AI.🌍 Your impact:✅ Consult & Engineer: Work with cutting-edge ML, LLMs & Generative AI technologies to solve real-world challenges.✅ End-to-End AI Operations: Design & optimize data, model & code pipelines (DataOps, MLOps & DevOps).✅ Technical Leadership: Be a trusted advisor, shape solution blueprints, and drive AI engineering excellence.✅ Collaboration & Enablement: Work closely with teams to operationalize AI & ensure reliability, scalability, and automation.🔍 What you bring:🔹 3+ years of experience in ML, AI, or Software Engineering🔹 Hands-on expertise in ML models, LLMs, and Data/AI platforms (Snowflake, Databricks, etc.)🔹 Strong understanding of DataOps, DevOps, and MLOps best practices🔹 Passion for scaling AI beyond POCs & driving enterprise AI success