4 of 4 Permanent AI Jobs in Warwick

presales activities, including RFIs, RFPs, proposals, and business case development. Partner with cross-functional teams to create scalable, cost-effective, and innovative solutions. identify and drive opportunities for automation, AI, and data analytics to improve business performance. Build strong, collaborative relationships between business and technology teams. Contribute to governance, compliance, and prioritisation processes within the technology function. Promote the reuse More ❯

delivers end-to-end cloud solutions for practices and businesses. Youll work with innovative tools, a collaborative culture and meaningful career progression Role Overview: As a Senior/Lead AI Engineer, you will take full ownership of our LLM Ops platform and the orchestration of multi-agent AI systems. You will collaborate with cross-functional teams to design, implement, and … scale AI-driven solutions that power intelligent automation across various domains. Key Responsibilities: Own and lead the development and operations of our LLM Ops platform, ensuring scalability, reliability, and high performance. Design and implement multi-agent orchestration frameworks for autonomous AI workflows. Optimise LLM performance, fine-tuning pipelines, and monitoring inference efficiency. Collaborate with product, research, and engineering teams to … integrate AI solutions into production systems. Qualifications: Bachelors or Masters degree in Computer Science, AI/ML, or a related field. 5+ years of experience in AI/ML engineering, with a focus on large language models and AI operations. Strong expertise in designing and deploying LLMs in production environments. Experience with multi-agent systems, orchestration, and workflow automation. Proficiency More ❯

progress, risks, and decisions clearly to all levels of the organisation. Data & Digital Enablement Leverage data to inform product decisions and measure success. Champion the use of data science, AI/ML, and visualisation to enhance product value. Support data democratisation and contribute to Communities of Practice About You Essential: Proven experience as a Product Owner or similar role in … squads Desirable: Experience in the energy, infrastructure, or regulated industries. Familiarity with tools like JIRA, Confluence, Power BI, Snowflake, or Azure DevOps. Exposure to data engineering, data science, or AI/ML concepts. What You'll Get A competitive salary between £55,000 – £69,000 dependent on capability As well as your base salary, you will receive a bonus based More ❯

up - establishing engineering standards, building a culture of quality, and watching graduates develop into strong engineers. When your team needs deep ML expertise, you'll partner with our experienced AI Platform team. Your focus is on delivery, production excellence, and growing your team's capabilities. Key Responsibilities: Building People You'll manage 7-10 graduate AI engineers, helping them grow … into clear tasks, assign work thoughtfully based on skills and growth goals, and keep things moving. Designing Workflows You'll architect production-grade workflow automations using Langflow that integrate AI capabilities - LLMs, document processing, entity extraction - into reliable business processes. Integrating Systems You'll build complex API integrations connecting internal systems with external services. Writing Code When off-the-shelf … are comfortable with the reality that managing 7-10 people is demanding work. Technical DepthYou've been writing Python professionally for 5+ years and have strong software engineering fundamentals. AI Integration ExperienceYou've integrated AI/LLM APIs into production systems and understand both their capabilities and limitations. This is a full-time, permanent role, with a flexible hybrid working More ❯