Machine Learning Engineer
17 hours ago
Southampton
Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles. Sign up now at and let the opportunities come to you. What You’ll Do • Lead the design and deployment of end-to-end ML systems for enterprise applications, from experimentation to production., • Apply large language models (LLMs) effectively by:, • Fine-tuning and evaluating domain-specific models, • Developing robust prompt engineering and orchestration strategies, • Optimizing inference pipelines for latency, throughput, and cost efficiency, • Write production-quality software with strong engineering rigor, including clean APIs and reliable systems, while collaborating closely with product engineers., • Build high-reliability ML infrastructure, including training pipelines, model registries, observability, and CI/CD for ML., • Ensure ML solutions meet enterprise standards for security, compliance, data privacy (e.g., SOC2, GDPR), explainability, and auditability., • Develop evaluation and monitoring frameworks to measure accuracy, fairness, robustness, and drift in deployed models., • Partner with product and GTM teams to identify high-value enterprise use cases for ML and translate them into scalable solutions., • Collaborate directly with customer-facing teams to deliver high-impact enterprise projects., • Mentor engineers and raise the bar for technical excellence across the organization., • Influence technical strategy and help define the company’s long-term AI roadmap. Who You’ll Be • An experienced Python developer with strong knowledge of data structures, algorithms, and CI/CD pipelines., • A Machine Learning professional skilled in data wrangling (SQL, pandas, NumPy), supervised and unsupervised learning, model evaluation, and feature engineering., • Knowledgeable in Deep Learning frameworks such as PyTorch, with experience in neural networks and NLP models; exposure to generative and multi-modal models is a plus., • Experienced in MLOps, including model serving, orchestration (Kubernetes), and experiment tracking, with the ability to design and deliver large-scale ML systems focused on cost optimization and reproducibility., • Equipped with a solid foundation in linear algebra, probability, statistics, and calculus., • An effective communicator who can translate technical concepts into clear business value and collaborate with non-technical stakeholders., • A mentor and leader who provides guidance through code reviews, architectural decisions, and technical direction. Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles. Sign up now at and let the opportunities come to you.