1 to 6 of 6 Machine Learning Engineer Jobs in the South East

Machine Learning Engineer, South Cambridge - £60k - £85k + Superb benefits. Cutting Edge R&D We have a fantastic new opportunity for a Machine Learning Engineer to join a state-of-the-art R&D company based in South Cambridgeshire. You will be working across … will join the friendly and supportive R&D group, developing technology that makes a difference and has real-world impact. You'll use your Machine learning to develop systems that apply ML to a broad range of tasks. The projects will test your broad exposure to the ML … O, cleaning and preparation, rapid code prototyping, iterating model designs and deploying and packaging code into brand new products. This role would suit a Machine Learning innovator, someone looking to push forward what is possible with ML and see their concepts develop into real world solutions and tangible more »

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 »

Senior Machine Learning Engineer - London - Exciting Health-Tech Start-Up Permanent + Fun Social Team + Share options Are you a Machine Learning Engineer/Software Engineer looking for an exciting and challenging position? Heres your chance to be a part of a … experiencing super high growth at the moment, and have grown from 3K users to 100k users in 14 months - over 3000% growth! As a Machine Learning Engineer on their talented engineering team, you'd be working cross-functionally with other teams to build the company's product. … This is a fantastic opportunity for a mid-senior Machine Learning Engineer to work closely with the founders and CTO to make an impact and shape the future of the company. You'd be looking to out perform their other competitors and work with some of the 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 »

/or industry experience. Experience Extensive experience solving computer vision problems – such as object detection and human pose estimation – with the application of appropriate machine learning methods, such as CNNs and ViTs, in conjunction with non-ML algorithms. Demonstrated experience using leading-edge methods for modelling human and … novel techniques for extracting value (building insights) from multi-disciplinary high-fidelity and unstructured data. Examples of working with large spatio-temporal datasets, and machine learning expertise for solving time-series domain issues. Experience delivering the full ML development lifecycle, taking systems from research prototypes through to development more »