7 of 7 Transfer Learning Jobs in England

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Working with a FTSE 100 retail client who looking for 2x Machine Learning Engineers to expand their existing engineering team - this will be to support the delivery of advanced AI solutions. … requirement is for talented Machine Learning Engineers with excellent Python development skills and the ability to take ownership of the entire machine learning lifecycle. The successful candidate will be responsible for building, training and deploying machine learning models for end users, while also investigating, preparing and transforming ...

EngineeringRemote , London,United KingdomCardiff,United KingdomEdinburgh,United Kingdom We are looking for a passionate AI Engineer specializing in Natural Language Processing (NLP) and Machine Learning (ML) to contribute to Data Enrichment efforts within Meltwater. As part of this role, you will work with experienced team members and product managers … design, test, and implement machine learning solutions. Through Meltwater's innovative social listening platform, we ensure our clients never miss any mention of their brand or essential topics across various platforms, automating the entire social listening process. Partner with us and be part of a diverse community that values ...

Memories: we take a user's entire photo library and turn it into albums worth printing. Almost all of that is powered by machine learning we build ourselves: computer vision models that run on device across millions of phones, curation pipelines that work out what an album … questions and read the existing code first, so that constraints surface on day one rather than in review Design, train and deploy deep learning models that reach customers every day, on device and on server Keep your work visible: short written updates, tickets that move, and interesting intermediate results ...

solve complex deployment and inference challenges in resource-constrained environments Required Expertise PhD in computer science, physics, engineering, or related field with significant machine learning focus 2+ years of hands-on experience building and deploying real-world AI systems that solved genuine business problems Mastery of machine learning fundamentals with deep understanding of model architecture design Proven experience with advanced deep learning concepts such as CNNs, time-series models, and transfer learning Exceptional problem-solving abilities with a bias toward practical solutions Eligible to work in the UK Preferred Qualifications Experience deploying ...

real-world AI systems that solved genuine business problems Experience deploying ML inference in C++ (e.g. ONNXRuntime, TensorRT, libtorch) Proven experience with advanced deep learning concepts such as CNNs, time-series models, and transfer learning Exceptional problem-solving abilities with a bias toward practical solutions Eligible … package 25 days holiday plus bank holidays and extra Christmas holidays Central London location with excellent facilities(in-person role) Regular team events and learning opportunities #J-18808-Ljbffr ...

financial time series. Fine-tune and post-train foundation models for alpha generation, pricing, market making, execution, and risk-management tasks. Study scaling laws, transfer across instruments and asset classes, regime robustness, data efficiency, and the trade-offs among model quality, inference cost, and latency. Design evaluation protocols that … evaluation, and model-serving components with ML infrastructure engineers. Required Qualifications, Capabilities, and Skills Advanced degree (Master's, PhD, or equivalent experience) in machine learning, computer science, statistics, mathematics, operations research, engineering, or a related quantitative field. Demonstrated experience pre-training a large model from scratch (Transformer/ ...

financial time series. Fine‐tune and post‐train foundation models for alpha generation, pricing, market making, execution, and risk‐management tasks. Study scaling laws, transfer across instruments and asset classes, regime robustness, data efficiency, and the trade‐offs among model quality, inference cost, and latency. Design evaluation protocols that … evaluation, and model‐serving components with ML infrastructure engineers. Required Qualifications, Capabilities, And Skills Advanced degree (Master's, PhD, or equivalent experience) in machine learning, computer science, statistics, mathematics, operations research, engineering, or a related quantitative field. Demonstrated experience pre‐training a large model from scratch (Transformer/ ...