Nathan Wills

SENIOR ML ENGINEER FULLY REMOTE - MUST BE LIVING AND WORKING WITHIN EUROPEAN TIMEZONEWe’re looking for AI Engineers to join long-term projects pushing the boundaries of LLM development. You’ll work on fine-tuning large language models, building retrieval-augmented generation pipelines, developing multi-agent systems, and integrating LLMs into real-world products. The role is hands-on with Python and generative AI frameworks, where you’ll deliver production-ready code for high-impact projects across sectors like finance and government. You’ll join small teams of up to 8 engineers, working closely with stakeholders, and there’s room to grow into leadership over time. Requirements:5+ years in AI/ML engineering with strong PythonExperience in LLMs, embeddings, and frameworks such as LangChainFamiliarity with AWS or GCPPyTorch/TensorFlow knowledge a plusFluent English and strong communication skillsMust have great stakeholder engagement/ client facing expertise 📍 Remote within Europe, UK, or Ukraine (CET +1 preferred) 🚀 Start: December (flexible) 🤝 1-year contract, with option to extend Call Settings Override To From Record Yes No Always use these settings

We're on behalf of a client who’s building an AI-first platform to automate complex regulatory workflows. They’re urgently looking for a Senior AI Engineer to help move from traditional SaaS to results-as-a-service, using advanced LLM and agentic AI systems. Remote role (UK, Ireland, or EU-based). You’ll be working on building and scaling GenAI pipelines that power intelligent features within a compliance platform used by global enterprises. This includes training and fine-tuning LLMs to interpret regulatory documents, implementing agentic reasoning frameworks, and integrating ML capabilities into the product backend. Responsibilities include:Building and fine-tuning LLMs and advanced NLP modelsDeveloping scalable pipelines for unstructured and structured dataDeploying models using AWS tools (SageMaker, EKS, ECS) and integrating them into productionWorking with agent frameworks like LangChain, LangGraph, AutoGen, Semantic KernelMonitoring and performance tuning using Langsmith, Opik, Weights & BiasesIf you're interested, feel free to respond with your most up-to-date resume/CV and we’ll be in touch to discuss.

We're on behalf of a client who’s building an AI-first platform to automate complex regulatory workflows. They’re urgently looking for a Senior AI Engineer to help move from traditional SaaS to results-as-a-service, using advanced LLM and agentic AI systems. Remote role (UK, Ireland, or EU-based). You’ll be working on building and scaling GenAI pipelines that power intelligent features within a compliance platform used by global enterprises. This includes training and fine-tuning LLMs to interpret regulatory documents, implementing agentic reasoning frameworks, and integrating ML capabilities into the product backend. Responsibilities include:Building and fine-tuning LLMs and advanced NLP modelsDeveloping scalable pipelines for unstructured and structured dataDeploying models using AWS tools (SageMaker, EKS, ECS) and integrating them into productionWorking with agent frameworks like LangChain, LangGraph, AutoGen, Semantic KernelMonitoring and performance tuning using Langsmith, Opik, Weights & BiasesIf you're interested, feel free to respond with your most up-to-date resume/CV and we’ll be in touch to discuss.

An international tech lab is expanding its applied AI research centre, hiring to strengthen their work on large-scale recommender systems and LLMs powering global platforms across cloud, streaming, and mobile. This is more than a publication-first role. You’ll be joining a multi-disciplinary research centre that collaborates with top universities and industry partners, with real deployment as the end goal. What You’ll Do:Design and develop production-grade recommender systems and LLM-driven servicesRun experiments on massive datasets, proposing novel approaches to real-world problemsPresent and defend your research both internally and externallyMentor junior researchers and guide research direction across the teamPublish in top-tier venues, file patents, and build working prototypesPartner with global stakeholders to scale ideas and deliver impactWhat They’re Looking For:10+ years of experience in applied ML, with a strong track record in recommender systems or LLMsHands-on coding skills are a must (Python, C++, R, etc.)PhD from a top university and multiple publications + patents all focused around LLM'sIndustry background at leading tech companies (e.g. Apple, Amazon, ByteDance)Ability to lead and deliver in research environments that bridge academia and industryProcess Overview:Coding test (challenging and mandatory, even for senior profiles)Research presentation (typically PhD work or a recent project)Deep-dive with the lab or HQ team to assess alignmentFinal HR round (salary and logistics)

An international tech lab is expanding its applied AI research centre in Ireland, hiring to strengthen their work on large-scale recommender systems and LLMs powering global platforms across cloud, streaming, and mobile. This is more than a publication-first role. You’ll be joining a multi-disciplinary research centre that collaborates with top universities and industry partners, with real deployment as the end goal. What You’ll Do:Design and develop production-grade recommender systems and LLM-driven servicesRun experiments on massive datasets, proposing novel approaches to real-world problemsPresent and defend your research both internally and externallyMentor junior researchers and guide research direction across the teamPublish in top-tier venues, file patents, and build working prototypesPartner with global stakeholders to scale ideas and deliver impactWhat They’re Looking For:10+ years of experience in applied ML, with a strong track record in recommender systems or LLMsHands-on coding skills are a must (Python, C++, R, etc.)PhD from a top university and multiple publications + patents all focused around LLM'sIndustry background at leading tech companies (e.g. Apple, Amazon, ByteDance)Ability to lead and deliver in research environments that bridge academia and industryProcess Overview:Coding test (challenging and mandatory, even for senior profiles)Research presentation (typically PhD work or a recent project)Deep-dive with the lab or HQ team to assess alignmentFinal HR round (salary and logistics)