Machine Learning Engineer

Machine Learning EngineerAlso known as: Senior ML Engineer, Senior Machine Learning Specialist, MLOps Engineer, AI Engineer, Applied ML EngineerLocation: Bristol, UKApproach:** Hybrid Remote, typically 2-3 days per week in the officeContract: Permanent, full-timeRosenxt is revolutionizing subsea robotics and autonomous systems, and we're building a world-class engineering team at our newly established Bristol location to drive this innovation forward.We are seeking a skilled Machine Learning Engineer to join our team. This role is ideally suited to someone who is passionate about both training ML models and implementing robust, scalable, repeatable practices at all stages of the ML lifecycle.In this role, you'll work on cutting-edge technology that makes a real-world impact - from developing visual inspection tools to creating autonomous systems that operate in some of the world's most challenging environments. You'll have the opportunity to see your work in action through field trials and real-world deployments, all while working in a collaborative, hybrid environment in central Bristol.What you can expectWe work in an exciting and dynamic environment where every day is likely to be a little different but here are some of the main responsibilities you will have in the role: Design, deploy, and optimize machine learning models and algorithms to solve real-world problems in the robotics domain. Build ML models that meet performance, reliability, and scalability expectations.* Prepare data for ML processing and develop rapid experimentation infrastructure.* Contribute to MLOps infrastructure and optimize CI/CD pipelines for efficient ML model deployment and testing.* Monitor deployed models for performance, proposing improvements to meet business objectives.* Stay up to date with ML and MLOps advancements, assessing their applicability to our goals.What you bringYou’ll thrive at Rosenxt if you are creative, self-reliant and collaborative and want to help the team do its best work.Essential skills:* Proven experience designing and deploying ML models in production.* Strong experience with MLOps practices and tooling (e.g., Docker, GitHub Actions, CI/CD pipelines).* Strong experience with ML for robotic applications (image, video, LiDAR), Visual Language Models (VLMs) and Large Language Models ( LLMs).* Technical expertise in AI: Deep Learning, Machine Learning, Reinforcement Learning, Statistics.* Strong proficiency with Python and writing high quality code, or strong experience in other languages and a willingness to learn Python.* Excellent awareness of software engineering and coding best practices.* Passion for building scalable and reliable ML systems.Desirable skills:* Knowledge or experience of Autonomous Surface Vehicles and Autonomous Underwater Vehicles.* Deployment of ML on edge devices.* Experience with synthetic data generation for training (e.g. with a simulator).* Experience with large language models.* Experience with reinforcement learning.* Experience with Agentic decision-making.* Experience in the marine or GIS domains.* Experience with AWS, Azure, or other cloud platforms.* Experience with PyTorch, PyTorch Lightning, OpenCV, CVAT, Docker, ROS.* Experience with edge computing frameworks like TensorRT is a plus.Soft skills:We value individuals who excel in teamwork, and are looking for a blend of the following soft skills alongside technical expertise: Communication: Efficiently explain technical concepts to diverse audiences and work well with cross-functional teams. Adaptability: Flexibly navigate shifting requirements, new technologies, and business landscapes, including hybrid work settings. Time-management: Handle multiple tasks and projects with prioritisation. Attention to detail: Maintain high standards for model quality and reliability.* Curiosity and continuous learning: Eager to explore new technologies and trends in ML and MLOps.* Team player: Collaborate to meet common goals and mentor junior team members.* Passion. Drive to impact customers positively and contribute to meaningful change.* Self-starter. Proactive approach in uncharted technology areas, demonstrating autonomy and motivation.Look forward to* Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character* Funded career and learning development opportunities.* Flexible, hybrid working.* 30 days annual leave + public holidays.* Company pension scheme where all employees receive a standard 10% employer contribution, with no obligation for employee contributions.* Company sponsored life insurance and private medical insurance.* Cycle scheme provided by Green Cycle Initiative* Competitive remuneration package.More information about the Rosenxt Group please click here:
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