Trabajos machine learning en WrexhamCrear alertas

ML algorithm development in the RF domain for electronic warfare.South East England, hybrid working; to £58,000 + Benefits.This renowned research institute is developing world-class capabilities in the understanding, management and exploitation of the electromagnetic environment through the applica

Senior Machine Learning Engineer. This is a hands-on engineering role focused on building and operating production machine learning systems rather than conducting pure research. As a Senior Machine Learning Engineer, you'll own critical ML systems from end to end, taking ideas from experimentation t

This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. Significant hands-on experience in machine learning engineering, software engineering, data engineering, or a related

Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second.We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins,

You will have taken at least one machine learning model from initial development through to embedded deployment on a live device. You will have contributed technical evidence that machine learning systems can be developed for one application and transferred to others, with appropriate adaptation and

You'll develop and optimise classical and deep learning models, improve distributed computing and large-scale parameter searches, and build efficient workflows from research through to production.

Rather than relying on simulations alone, they're combining cutting-edge machine learning with a high-throughput experimental laboratory, creating a closed-loop system where AI designs new materials, experiments validate them, and real-world results continuously improve the models. Machine Learning

Hands-on experience shipping enterprise-grade data platforms and machine learning solutions that deliver tangible commercial outcomes. Head of Data Engineering & Machine Learning. Head of Data Engineering & Machine Learning.

Research Engineers at Relation are software engineers with a deep understanding of machine learning and deep learning, acting as a critical bridge between theory and implementation: designing, building, and scaling the complex systems on which our ML research depends. Senior Machine Learning Researc

Machine Learning Scientist | AI for Energy | Hybrid. We're working with an innovative AI company that's transforming the energy sector through cutting-edge machine learning and advanced modelling techniques. Strong experience in Machine Learning and Python.

This is a great opportunity for someone who enjoys taking ML out of the lab and into production, working across software engineering, machine learning and cloud infrastructure. Strong understanding of the machine learning lifecycle. Strong understanding of the machine learning lifecycle.

Machine Learning Scientist with strong Reinforcement Learning experience. Reinforcement Learning models and agents.

We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are seeking an exceptional Machine Learning Scientist who combines strong ML fundamentals with a deep understanding of biological data, to help buil

You will contribute to advanced AI research projects by applying your expertise in frontier machine learning, helping improve the reasoning, learning, and problem-solving capabilities of next-generation AI systems. Deep understanding of modern machine learning theory, algorithms, and model developme

We are at the forefront of revolutionising Text-to-Speech (TTS) and Speech Synthesis in Conversational AI, and we're looking for a skilled Senior Machine Learning Engineer to join our expanding team. As a Senior Machine Learning Engineer, you will be instrumental in deploying state-of-the-art Text-t

Working as part of a cross-functional Data Science team, the Machine Learning Engineer will play a key role in taking machine learning models from research through to production. Support the deployment and operationalisation of both traditional machine learning and Generative AI solutions. Strong un

Develop and implement machine learning models for inventory management and customer insights, and communicate insights.

Building AI models for document understanding, knowledge graphs, and data extraction.Develop generative AI systems for research.

We are working with a fully remote gaming and entertainment business that is scaling its data and machine-learning capabilities. With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems a

Designs and deploys machine learning models to improve efficiency and growth, translating insights into actionable strategies.

Machine Learning Engineer sought for a 6-month contract to build and deploy ML models in a Financial Services environment.

Develops generative AI/ML models for multi-modal, multiscale biology, implementing large-scale ML algorithms and systems for biological datasets.Requires expertise in ML frameworks and distributed training.

Develops and optimizes on-device ML models for health monitoring, from prototyping to production.

As a Graduate Machine Learning Engineer, you’ll start building the skills to research machine learning models and evaluate how they can be applied within our specialist domain, working alongside and learning from a small team who deliver AI capabilities for the UK government. Model Research & Eval

Develops machine learning solutions for financial data processing, including model building, LLM customization, and MLOps infrastructure.

Operationalising machine learning models and ensuring they are production-ready.

Good understanding of software engineering concepts, particularly with machine learning development. Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn. Understanding of, including published work within, related academic fields such as NLP, Computer Visio

Develops and optimizes machine learning architectures, models, and pipelines for high-performance computing, working with hardware and software teams.

Develops high-fidelity reasoning traces and data strategies for training advanced LLMs, focusing on real-world decision-making.

Develop and deploy ML models, write production-ready code, and build AI workflows.Collaborate across teams to improve systems and understand client needs.

Tagged as: Data Visualization, Industry, Machine Learning, NLP, United Kingdom. Machine Learning Engineer – AI for Advanced Materials – Oxford / Remote (UK). We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing how the world designs and

Senior Machine Learning Engineer to design and deploy Generative AI and LLM applications on GCP.

Are you looking to benefit from a new career in Data Analysis?.If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst.We do this using our specialised Data Analyst career pro

Become a food delivery driver with Deliveroo and find work that suits you.Make money on your own schedule with your own vehicle (scooter, bike or car).Work when you want to, at the tap of a button.Scooter, bike or car (with license and insurance).Smartphone with iOS 12 / Android 6 or above.Proof of

Cleaner (2) (Permanent) (15/5057) (15/5188).Join our award-winning school cleaning team.We’re proud of our award-winning service, recognised with:.ASSIST-FM Contribution to Cleaning Award - 2022.APSE Building Cleaning Innovation Award - 2023.Building Cleaning Most Improved Performance Networks Awa

The salary advertised is full time (35 hours per week, 52 weeks per year).Part-time hours / sessional posts will be pro-rated accordingly.This is a 52-week non-sessional post i.You will be asked to indicate which post(s) you would like to be considered for when you complete the application form.To a