Sam Oliver


As a Senior Contract Consultant, Sam specialises in placing generative AI specialists within large enterprise businesses and scale-ups across Europe.

Sam has a deep understanding of the technical and creative skills required in the generative AI field, ensuring that each organisation's unique needs are met efficiently. 

His extensive knowledge of the European AI landscape and a strong network of industry professionals enable him to successfully navigate the complexities of both established enterprises and fast-growing scale-ups.

Committed to fostering long-term relationships, Sam takes a client-centric approach that aligns talent solutions with broader business objectives. Leveraging innovative sourcing strategies, he delivers high-quality candidates swiftly, providing scalability and flexibility for diverse project needs. His mission is to connect exceptional AI talent with forward-thinking companies, driving innovation and growth within the rapidly evolving field of artificial intelligence.

 

Jobs from Sam Oliver

Remote work, Switzerland
AI Data Engineer
We are looking for an experienced Data Engineer to join a growing data and AI team, helping to build modern data solutions that support advanced analytics and machine learning.This role centres on building robust data ingestion pipelines within Snowflake and delivering predictive analytics using Snowflake Cortex. While the majority of machine learning will leverage Snowflake's managed ML capabilities, there will also be opportunities to develop bespoke Python models where business requirements extend beyond native functionality.You will play a key role in designing scalable data engineering solutions, preparing high-quality datasets, and ensuring production-ready machine learning outputs are delivered to downstream applications.Key ResponsibilitiesDesign, build and maintain scalable data ingestion pipelines into Snowflake from structured and time-series data sources.Develop predictive analytics solutions using Snowflake Cortex, including forecasting, anomaly detection and classification.Prepare machine learning datasets through feature engineering, windowed aggregations and time-series transformations.Develop custom machine learning models using Python and Snowpark (including scikit-learn, XGBoost and LightGBM) where native Snowflake capabilities are not suitable.Integrate machine learning outputs into downstream applications and analytics platforms.Monitor and maintain production data pipelines and machine learning solutions, including data quality, model refreshes and performance monitoring.Optimise Snowflake performance and ensure data engineering best practices are followed.Required Skills & ExperienceStrong commercial experience with Snowflake, including SQL, Streams, Tasks, Snowpipe and performance optimisation.Experience using Snowflake Cortex ML capabilities for forecasting, anomaly detection and classification.Strong Python development skills, including Snowpark.Experience building data pipelines and preparing datasets for machine learning.Knowledge of time-series data processing and feature engineering techniques.Experience developing machine learning models using libraries such as scikit-learn, XGBoost or LightGBM.Understanding of production monitoring, data quality and model lifecycle management.Desirable ExperienceExperience with Snowflake ML features such as Model Registry and Feature Store.Knowledge of Azure Data Lake, Microsoft Fabric or other modern cloud data platforms.Familiarity with Snowflake AI capabilities such as AISQL, Cortex Search or related technologies.
Sam OliverSam Oliver
London, Greater London, South East, England
AI Research Engineer
Location: London (Hybrid - 3 days a week on site)Contract: Long-term ContractWe're recruiting for a leading global technology organisation seeking a Research Engineer to join a world-class AI research team working on large language models, AI agents and next-generation machine learning systems.ResponsibilitiesDesign, build and evaluate large-scale machine learning systems.Develop AI agents and LLM-based solutions using Python and PyTorch.Run experiments on large models and datasets.Collaborate with researchers and engineers to deliver cutting-edge AI solutions.Contribute high-quality, production-ready code in a fast-paced research environment.Required ExperienceStrong Python development skills.Hands-on experience with PyTorch or similar ML frameworks.Experience working with machine learning models at scale.Exposure to LLMs, Generative AI or AI agents.Bachelor's, Master's or PhD in Computer Science, Machine Learning, Mathematics, Physics or a related technical field.Strong problem-solving skills with the ability to execute in a research-driven environment.Nice to HavePhD or research-focused Master's.Experience in ML research, AI startups or leading technology companies.Experience with LLM post-training or agentic AI.What's on OfferOpportunity to work on cutting-edge AI research.Collaborate with some of the industry's leading researchers and engineers.Work on technology that will shape the future of AI.Long-term contract with a highly respected global technology organisation.
Sam OliverSam Oliver
Remote work, Switzerland
AI Engineer
AI Engineer:Contract/Freelance We're looking for an AI Engineer to help deliver the next generation of intelligent applications, combining LLMs, AI agents and modern cloud technologies to solve complex business challenges.Contract Details• Initial 6-month contract• Strong likelihood of extension beyond the initial engagement• Fully remote• Candidates must be based in Europe• Day rate: €300–€325 per day, depending on experienceThe RoleThis is a hands-on engineering role focused on building robust, scalable AI solutions rather than experimentation. You'll be designing agentic workflows, integrating AI into enterprise systems, and developing production-ready applications that make effective use of large language models and retrieval-based architectures.What You'll Bring:• Strong Python software engineering experience in production environments• Proven experience building applications with LLMs, including prompt design, tool usage, structured outputs and performance optimisation• Experience developing AI agents and orchestrating complex workflows• Knowledge of RAG architectures, vector search and contextual AI techniques• Experience integrating with APIs, enterprise platforms and cloud services• Understanding of AI reliability, evaluation, security and governance best practices• Experience with Azure AI technologies and Microsoft ecosystem integrations• Experience working with modern data pipelines and cloud-based data platforms• Ability to work closely with technical and business stakeholders to translate requirements into working solutionsDesirable:• Exposure to multimodal AI, computer vision or audio-based models• Knowledge of MLOps, model lifecycle management and deployment practices• Previous experience delivering AI solutions within people, talent or workforce-focused environmentsThis is an excellent opportunity for a contractor who enjoys building practical AI solutions, working with emerging technologies, and helping shape how organisations adopt intelligent systems at scale.
Sam OliverSam Oliver
Remote Work, Poland
AI Engineer
AI Engineer:Contract/Freelance We're looking for an AI Engineer to help deliver the next generation of intelligent applications, combining LLMs, AI agents and modern cloud technologies to solve complex business challenges.Contract Details• Initial 6-month contract• Strong likelihood of extension beyond the initial engagement• Fully remote• Candidates must be based in Europe• Day rate: €300–€325 per day, depending on experienceThe RoleThis is a hands-on engineering role focused on building robust, scalable AI solutions rather than experimentation. You'll be designing agentic workflows, integrating AI into enterprise systems, and developing production-ready applications that make effective use of large language models and retrieval-based architectures.What You'll Bring:• Strong Python software engineering experience in production environments• Proven experience building applications with LLMs, including prompt design, tool usage, structured outputs and performance optimisation• Experience developing AI agents and orchestrating complex workflows• Knowledge of RAG architectures, vector search and contextual AI techniques• Experience integrating with APIs, enterprise platforms and cloud services• Understanding of AI reliability, evaluation, security and governance best practices• Experience with Azure AI technologies and Microsoft ecosystem integrations• Experience working with modern data pipelines and cloud-based data platforms• Ability to work closely with technical and business stakeholders to translate requirements into working solutionsDesirable:• Exposure to multimodal AI, computer vision or audio-based models• Knowledge of MLOps, model lifecycle management and deployment practices• Previous experience delivering AI solutions within people, talent or workforce-focused environmentsThis is an excellent opportunity for a contractor who enjoys building practical AI solutions, working with emerging technologies, and helping shape how organisations adopt intelligent systems at scale.
Sam OliverSam Oliver
Remote work, Portugal
AI Engineer
AI Engineer:Contract/Freelance We're looking for an AI Engineer to help deliver the next generation of intelligent applications, combining LLMs, AI agents and modern cloud technologies to solve complex business challenges.Contract Details• Initial 6-month contract• Strong likelihood of extension beyond the initial engagement• Fully remote• Candidates must be based in Europe• Day rate: €300–€325 per day, depending on experienceThe RoleThis is a hands-on engineering role focused on building robust, scalable AI solutions rather than experimentation. You'll be designing agentic workflows, integrating AI into enterprise systems, and developing production-ready applications that make effective use of large language models and retrieval-based architectures.What You'll Bring:• Strong Python software engineering experience in production environments• Proven experience building applications with LLMs, including prompt design, tool usage, structured outputs and performance optimisation• Experience developing AI agents and orchestrating complex workflows• Knowledge of RAG architectures, vector search and contextual AI techniques• Experience integrating with APIs, enterprise platforms and cloud services• Understanding of AI reliability, evaluation, security and governance best practices• Experience with Azure AI technologies and Microsoft ecosystem integrations• Experience working with modern data pipelines and cloud-based data platforms• Ability to work closely with technical and business stakeholders to translate requirements into working solutionsDesirable:• Exposure to multimodal AI, computer vision or audio-based models• Knowledge of MLOps, model lifecycle management and deployment practices• Previous experience delivering AI solutions within people, talent or workforce-focused environmentsThis is an excellent opportunity for a contractor who enjoys building practical AI solutions, working with emerging technologies, and helping shape how organisations adopt intelligent systems at scale.
Sam OliverSam Oliver