CERTIVATION GmbH

To accelerate AI adoption and maximize the efficiency of our internal processes across our engineering teams, we are seeking a Senior Machine Learning Engineer who combines deep expertise in LLMs, MLOps, and agentic AI with the credibility and communication skills to drive change across a multi-domain, distributed engineering organisation.# Senior Machine Learning Engineer (all genders welcome) - AI platform and developer tools force multipliers for our engineering teams. This role This is a hands-on technical role, but also suits someone able to earn trust through demonstrated expertise, bring people along through clear communication, and navigate the organisational complexity of rolling out new tools and practices across distributed teams with different tech stacks and priorities.Your first major project will be leading the technical implementation of an AI-assisted development initiative. Tasks may be evaluating and configuring our AI tool stack, building the retrieval and context systems that make those tools useful for our codebase, and instrumenting the metrics that prove the value.Develop and maintain reusable system prompts for common engineering tasks and complex technical domains.Run training sessions, document best practices, and build the internal knowledge base that raises the AI capability of the whole organization. Several years of leadership as Technical Lead or Engineering Manager in ML; 5+ years of ML engineering experience. Proven track record designing, building, and operating scalable production ML systems and software platforms with measurable business impact. Experience building platform and infrastructure tools for other engineering teams and defining development processes and workflows. Excellent Python skills, hands-on cloud experience (Azure/AWS/GCP), and strong MLOps practice (CI/CD for ML, versioning, monitoring, automation). Deep understanding of modern LLM architectures (transformers, attention) and extensive production experience with foundation and embedding models. Proficiency with agentic frameworks, multi-agent system design, and advanced prompt engineering. Excellent communication skills to convey complex technical topics clearly to diverse stakeholders. Strong influence through expertise, ability to lead without formal authority, and collaborative mindset in complex organizations. High autonomy and comfort with ambiguity, combined with a servant-leadership mindset focused on enabling other engineers. Resilient, pragmatic approach with evidence-based iteration in emerging technology areas. Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character Flexible working time, working time accounts and Home Office possible An open, informal corporate culture, where we celebrate success with social events Depending on the hiring location you may also benefit from local benefits

A leading AI solutions company in Bristol is seeking a Senior Machine Learning Engineer to drive AI adoption across teams. The ideal candidate will have extensive experience in ML engineering, particularly in scalable production systems. Responsibilities include leading technical implementations and fostering collaboration through clear communication. Candidates must demonstrate strong Python skills and MLOps practices. This role offers flexible working options and a supportive corporate culture.