4 of 4 Remote/Hybrid Machine Learning Jobs in Leeds

expertise. We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. You’ll work end to end on LLM-powered conversational agents and support the training, optimisation … Offer Train, evaluate and deploy agentic AI systems and computer vision models for real-world use Collaborate with product and engineering to integrate ML systems into user-facing features Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines Stay up-to-date with ...

engineering quality, automation and innovation. Why candidates choose this role You gain ownership over cloud direction and standards. You join a team that encourages learning, experimentation and the use of new technologies. You work in an environment that values both independence and collaboration. You build platforms that directly support ...

direct business impact. Technical Leadership: Influence our technical stack and help define the engineering culture of a rapidly scaling startup. Requirements Technical Depth: Extensive ML engineering experience with a deep understanding of LLM architecture, training and fine-tuning (you don't just call APIs). You know … memory and tool-calling in production. Engineering Mindset: Ability to write clean, testable Python and familiarity with modern MLOps stacks. Product Experience: Experience shipping ML systems in production for real users, with an experimental mindset and high bar for AI ethics. Why Join Wilgot? Practical AI at Scale: Solve real ...

delivering cutting-edge AI solutions. You'll shape architecture, engineering standards, and delivery outcomes across high-impact projects while working with modern AI/ML tooling, cloud technologies, and scalable engineering practices. Technical Lead - AI Responsibilities Lead AI-focused architecture, design, and engineering delivery across client engagements. Oversee … implementation of AI/ML solutions, from concept through to production. Act as the senior engineering authority, ensuring high-quality outputs across wider teams. Establish best-practice engineering ecosystems, including CI/CD pipelines, automation, developer tooling and QA methodologies. Maintain expertise across modern tech stacks, cloud platforms and industry ...