1 to 5 of 5 Machine Learning Engineer Jobs in the South East with Remote Work Options

Lead Machine Learning/Data Engineer - Fully Remote Lead Machine Learning Engineer/Data Engineer - Fully Remote - Spatial Intelligence Platform A Lead Machine Learning Engineer/Data Engineer is required for a pioneering company at the forefront of revolutionizing … industrial operations. Coming in as a Lead ML/Data Engineer you'll have the opportunity to spearhead the development of this Spatial Intelligence Platform working very closely with the CEO and CTO. The business is at the stage where it will soon become profitable and looking for … will have a real opportunity to impact the organisation that has already built a successful product with an exceptional but small team. Lead Data Engineer/ML - The Role: As a ML/Data Engineer, you'll leverage your expertise in Data Engineer and Machine Learning more »

Machine Learning Engineer I am seeking an experienced Machine Learning Engineer with expertise in developing ML models for hardware processors, to join my client creating next-gen tech for ultra-fast and efficient AI acceleration. It’s all based on years of ground-breaking … research and the successful Machine Learning Engineer will work in a multidisciplinary team to understand the hardware architecture and develop ML models, simulation tools and benchmarking frameworks accordingly. Primary responsibilities Research, implement and optimise state-of-the-art machine learning algorithms to enhance model performance … Develop benchmarking frameworks Essential experience BSc, MSc or PhD in Computer Science, EE, Mathematics or similar Minimum 2+ years in industry as an ML Engineer working on full-cycle model development for AI hardware processors Experience in benchmarking and performance analysis of machine learning models on specialised more »

Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role … UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. … Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills more »

The Machine Learning Engineer will help develop/deploy AI-powered products as we embark on a journey to build a new AI-powered sales advisor. This is a mid level role, requiring at least 2-3 years of experience in relevant roles, and an academic background … be responsible for Development of a Conversational Recommendation System which utilises Large Language Models (LLMs) and other NLP technologies Deploying scalable and cost effective machine learning systems Evolving and maintaining our machine learning stack Monitoring and analysing deployed models for performance and costs Making effective use … cloud infrastructure in our ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow HuggingFace ecosystem [optional] Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc Ability to understand and develop state more »

be about designing, planning and implementing systems based on LLM-inference, including advanced RAG. To this end you will collaborate tightly between Data Scientists, Machine Learning and Big Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and … deployment of LLM-based systems, ensuring efficient and scalable solutions that meet our business needs. Your skills and qualifications: 5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of more »