Senior Machine Learning Engineer

**Senior Machine Learning Engineer (LLM \& Client\-Facing)** **Work Mode:** Hybrid **Location:** London **What You’ll Do:** **Design \& Architect AI Solutions:** * Architect and implement advanced LLM systems (RAG, fine\-tuning, agents, copilots) from concept to production. * Design end\-to\-end AI pipelines encompassing data processing, model evaluation, deployment, and monitoring. * Select and optimize the use of commercial and open\-source LLMs (e.g., GPT, Claude, LLaMA) for performance, cost, and security. * Build scalable, secure, and cost\-efficient cloud\-based AI architectures. **Lead Client Delivery \& Advisory:** * Act as the primary technical point of contact for enterprise clients, translating business needs into technical requirements and solutions. * Lead workshops, solution walkthroughs, and presentations for both technical and executive audiences. * Own project delivery timelines, manage risks, and ensure projects are delivered on time and within scope. **Drive Team Leadership \& Growth:** * Mentor and coach junior and mid\-level data scientists and ML engineers. * Contribute to hiring, onboarding, and the establishment of technical standards and best practices. * Lead and scale a high\-performing AI delivery team, fostering a culture of excellence. * Establish robust practices for code quality, documentation, model governance, and MLOps. **What We’re Looking For:** **Must\-Have Qualifications:** * 6\+ years of professional experience in data science, machine learning, or AI engineering. * Proven, hands\-on experience building and deploying LLM applications (RAG, agents, fine\-tuning) in production environments. * Expertise in Python and deep learning frameworks (PyTorch or TensorFlow). * Deep technical knowledge of prompt engineering, retrieval\-augmented generation (RAG) architectures, fine\-tuning, and inference optimization. * Solid experience deploying and monitoring models in production on a major cloud platform (AWS, Azure, or GCP). * Proven client\-facing, consulting, or stakeholder management experience with excellent communication and presentation skills. **Nice\-to\-Have Qualifications:** * Experience directly mentoring or leading technical teams. * Strong MLOps skills (CI/CD, containerization, model monitoring) using tools like MLflow, Weights \& Biases, etc. * Experience working in regulated industries (finance, healthcare, enterprise SaaS). * Knowledge of AI governance, responsible AI, data privacy, and security standards. * Experience scoping projects, estimating timelines, and writing technical proposals. **What Success Looks Like in Your First Year:** * Successfully deliver multiple end\-to\-end LLM projects for key clients, achieving defined success metrics. * Become the go\-to trusted AI advisor for a portfolio of clients and internally for company leadership. * Design and socialize reusable frameworks, patterns, and best practices that elevate our team's efficiency and quality. * Take on clear leadership responsibilities for a growing team, contributing directly to their development and the team's productivity gains. Job Types: Full\-time, Permanent Pay: £70,000\.00\-£100,000\.00 per year Application question(s): * What are your total annual compensation expectations for this role, in British Pounds (GBP)? Please provide a base salary range. * This is a Hybrid role and requires significant collaboration with teams based in North American time zones. Are you able and willing to work this schedule consistently? * If successful, what would be your earliest possible start date? Please include your current notice period. * Do you currently have the right to work in the UK without requiring visa sponsorship? Work Location: Hybrid remote in London