Remote Reinforcement Learning Jobs in London

2 of 2 Remote Reinforcement Learning Jobs in London

Principal Data Scientist

TW75QD, Syon, Greater London, United Kingdom
Hybrid/Remote Options
Sky
Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder … platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking More ❯
Employment Type: Permanent
Posted:

Machine Learning Engineer

City of London, London, United Kingdom
Hybrid/Remote Options
JLA Resourcing Ltd
Role - Machine Learning Engineer Location Hybrid, 1 day on site in London (with flex) Salary - £70,000 to £75,000 The Opportunity Were partnering with a client in the financial services sector who are looking to bring on a Machine Learning Engineer to their growing Intelligent Automation Team of 50. Following a period of significant transformation and with … a strong benefits package. The position is hybrid, typically one day per week on site in London (with flexibility around which day). The Role Reporting to the Machine Learning Lead, youll be a hands-on Machine Learning Engineer with a strong track record of building and deploying ML solutions at scaleparticularly in NLP and GenAI. You will … ARM, Terraform). A test-driven development mindset and commitment to engineering quality. Broad understanding of ML approaches, with the ability to explain methods clearly: Regression, clustering, decision trees, reinforcement learning Gradient boosting, CNNs, RNNs, LSTMs Attention models, encoder/decoder architectures, transformers, vector semantics Demonstrable experience developing GenAI applications in real-world settings. The confidence to communicate More ❯
Employment Type: Permanent, Work From Home
Salary: £70,000
Posted:
Reinforcement Learning
London
10th Percentile
£65,975
25th Percentile
£83,563
Median
£95,000
75th Percentile
£98,125
90th Percentile
£103,000