Tech Lead - AI/ML, GenAI, Data Engineering

An exciting opportunity for a Tech Lead with experience in: AI/ML, GenAI, Data Engineering, Leadership, Stakeholder management, Ownership to join a World Leading Energy Trading company. Rates are flexible depending on experience. Key Responsibilities: - Technical Leadership, lead the design, development, and deployment of AI/ML and GenAI solutions across business domains. - Architect robust data pipelines and platforms to support model training, inference, and monitoring. - Evaluate and integrate state-of-the-art LLMs, foundation models, and GenAI frameworks into enterprise applications. - Ensure code quality, scalability, and performance through best engineering practices. Team & Project Management: - Mentor and guide a team of data scientists, ML engineers, and data engineers. - Drive agile delivery of AI/ML projects from ideation to production. - Foster a culture of experimentation, learning, and continuous improvement. Stakeholder Engagement: - Collaborate with product owners, business leaders, and domain experts to translate requirements into AI-driven solutions. - Communicate complex technical concepts to non-technical stakeholders with clarity and impact. - Influence strategic decisions through data-driven insights and AI capabilities. Ownership & Innovation: - Take full ownership of solution delivery, from architecture to deployment and post-production support. - Stay ahead of emerging trends in AI/ML, GenAI, and data engineering to drive innovation. - Champion responsible AI practices, including fairness, transparency, and explainability. Required Qualifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. - 8+ years of experience in AI/ML and data engineering, with at least 3 years in a technical leadership role. - Proven experience with GenAI technologies (e.g., OpenAI, Hugging Face, LangChain, RAG pipelines). - Strong programming skills in Python, SQL, and familiarity with cloud platforms (Azure, AWS, GCP). - Expertise in data architecture, ETL/ELT pipelines, and distributed computing frameworks (e.g., Spark, Databricks). - Excellent communication, stakeholder management, and team leadership skills. Preferred Qualifications: - Experience with MLOps, CI/CD for ML, and model governance. - Exposure to multi-modal AI (text, image, audio). - Contributions to open-source AI/ML projects or publications in top-tier conferences. With a focus within Energy Trading, Oil & Gas, Financial Markets and Commodities, we offer a transparent Recruitment Service that has proven to be reliable and effective for over 40 years. We are ISO accredited and proud of our excellent TrustPilot Reviews. Your search for a New Contract Assignment or for a New Permanent Job will be in safe hands with Eaglecliff Recruitment. Please telephone for an immediate response or email your CV for a quick response. Eaglecliff Ltd is acting in the capacity of an employment agency for permanent recruitment and an employment business for contractor resourcing.