to unlock valuable insights. Responsibilities Spearhead projects with cross functional leaders Use models like regression and propensity models, time-series, ensemble methods and neuralnetworks Seek out opportunities to make an impact using the latest ML methods (NLP and Gen AI) Be the go-to authority for data more »
selection, PCA, hypothesis testing, time series, queuing theory, survival analysis, clustering, linear programming. Experience with machine learning methods, such as regularization, random forests, neuralnetworks and deep learning. Ability to write algorithms and implement pipelines in Python. Knowledge of Scala, R, is a plus. Experienced in SQL. Familiarity more »
London, England, United Kingdom Hybrid / WFH Options
BenchSci
well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture. Expertise in graph machine learning (i.e. graph neuralnetworks, graph data science) and practical applications thereof. This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with more »
other database languages Experience Desirable Software Development experience, especially with containerised software in Docker and/or Singularity Experience Desirable Experience implementing deep neuralnetworks in PyTorch or TensorFlow Experience Desirable Experience analysing Genomic/Transcriptomic datasets Skills Essential Ability to develop computational approaches to analyse data to more »
and industry-leading computing tools to apply and build ML models from the ground up, utilizing new and established techniques and methods like neuralnetworks, reinforcement learning, deep learning, and natural language processing. Remain connected to the broader research community, staying on top of the latest research and more »
of working with probability and statistics, inclusive of machine learning, experimental design, and optimisation Experience using Gradient Boosting Machines, Random Forest, NeuralNetwork or similar algorithms Proven and successful track record of leading high-performing data analyst teams through the successful performance of advanced quantitative analyses and more »
of working with probability and statistics, inclusive of machine learning, experimental design, and optimisation Experience using Gradient Boosting Machines, Random Forest, NeuralNetwork or similar algorithms Proven and successful track record of leading high-performing data analyst teams through the successful performance of advanced quantitative analyses and more »
behavior. Job Summary: We are seeking passionate Senior Developers and Data Scientists to join our team. You will work on novel Deep-Learning NeuralNetworks for machine vision applications, serving key clients in the UK public sector and defense and aerospace industries. Our eDNNs bridge the gap between … current Transformer and CNN solutions and future Spiking NeuralNetworks (SNN). These eDNNs address challenges in computer vision and object recognition, with continuous enhancements from our neuroscience-inspired research. Joining us means engaging in cutting-edge research, directly impacting product development and customer relationships. Your contributions will … Meet project milestones and deliverables. Job Skills & Qualifications: Required: Strong experience in Python and Pytorch Ability to create and explain customized neuralnetwork solutions. Proficiency in discussing and applying the latest deep learning/computer vision research. Experience in developing Transformer and CNN-based applications. Proven track more »
Role: Your day-to-day responsibilities will include: Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neuralnetworks to support core clients Part of a team of 12 reporting to the Head of Data Science Chance to have 1 direct report more »
London, England, United Kingdom Hybrid / WFH Options
BenchSci
knowledge graphs (KG) by reasoning over and inferencing from existing KG data using graph data science (GDS), graph machine learning (GML), and Graph NeuralNetworks (GNNs) approaches. Benefits and Perks: An engaging remote-first culture A great compensation package that includes BenchSci equity options A robust vacation policy more »
generalized linear models, logistics/linear Regression, Tree based and Boosting models, Decision trees, Random Forest, XGBoost etc.- Basic understanding of Neuralnetwork and deep learning models). Possess experience with Machine learning/Pattern recognition areas. Should possess basic Data Engineering experience to ingest, cleanse and more »
The Role: Your day-to-day responsibilities will include: Deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neuralnetworks to support core clients Part of a team of 9 reporting to the Head of Data Science - working closely with a wider Data more »
in a collaborative and entrepreneurial environment with great opportunities for career progression. Responsibilities: Apply the rigorous scientific method and methods such as NLP, neuralnetworks and deep learning to develop sophisticated trading models across multiple asset classes that inform highly profitable trading strategies. Work with an elite group more »
Central London, London, United Kingdom Hybrid / WFH Options
Get Staffed Online Recruitment
of Python coding and knowledge of SQL. Experience of manipulating and making sense of data from disparate sources. Experience with the likes of NeuralNetworks and TensorFlow/PyTorch. Experience with cloud-based environments such as AWS, Azure, GCP etc. Snowflake experience is beneficial. Knowledge of tools such more »
top-tier conferences (e.g. NeurIPS, ICML, ICLR, AAAI, COLT) Experience with functional programming languages (e.g. Haskell, Idris, Scala) Deep expertise in neuralnetwork architectures and a strong interest in category theory or type theory Industrial or academic experience leading a research/technical team, and implementing novel more »
City of London, London, United Kingdom Hybrid / WFH Options
Eligo Recruitment Ltd
an integral part of a growing team (20 to 40 people in 12 months!) Tech skills needed for this ML engineering role: Deep NeuralNetworks (DNN) Generative Adversarial Networks Deep Learning Define, evaluate and assess AI systems performance Explore and implement state-of-the-art algorithms to keep more »
Employment Type: Permanent
Salary: £80000 - £100000/annum Plus Bonus and benefits
/NLP/NATURAL LANGUAGE PROCESSING/DEEP LEARNING/DATA SCIENCE/LSTM/LONG SHORT TERM MEMORY/CNN/COGNETIVE NEURALNETWORKS/CLOUD INFRASTRUCTURE/ARTIFICIAL INTELLIGENCE/INNOVATION/SECURITY CLEARANCE/DV CLEARED/SC CLEARED/SC CLEARANCE/SECURITY CLEARANCE more »
AI/Python/Data scientist/Machine Learning Engineer/NeuralNetworks/Deep Learning/LLMs Role: Lead Data Scientist Location: Remote - Occasional Meetings in London (Client) Company: AI Analytics Start-Up Salary: up to £130,000 + Bonus Projects: NeuralNetworks, NLP, Machine … with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Lead a small team of data scientist on NeuralNetworks LLMs (CNN & RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR …/Deep Learning Requirements Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Experience with applied NeuralNetworks (CNN & RNN), LLMs Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and algorithms Fluency in a programming language (Python, C more »
of these areas). You will look at the latest development within ML and design and deliver these across ML and NeuralNetwork Methodologies. You will be involved in data analysis and statistical modelling. You will be writing high quality code and deploying these models both on more »
issue that will benefit National Security and Intelligence clients across the world and is equally impactful for other sectors, allowing private access to NeuralNetworks and Data sets for knowledge growth. If you are interested in delivering impactful product presentations and able to highlight mission-critical benefits of more »
issue that will benefit National Security and Intelligence clients across the world and is equally impactful for other sectors, allowing private access to NeuralNetworks and Data sets for knowledge growth. If you are interested in delivering impactful product presentations and able to highlight mission-critical benefits of more »
Employment Type: Contract
Rate: From £1,100 to £1,300 per day Outside of IR35
to join a new and growing company working on Analog AI accelerator projects which utilises Analog processing-in-memory to expedite neuralnetwork workloads. Key Responsibilities will include: Design of RRAM-based computational memory arrays and sub-arrays. Working with system-level architects to ensure specifications are more »
as we can. Applicants will be screened daily. Keywords: AI ML Artificial Intelligence Machine Learning Solutions Architect Deep Music DJ Integration NeuralNetwork Natural Language Processing (NLP) Model more »
Greater London, England, United Kingdom Hybrid / WFH Options
IC Resources
in all aspects of computer architecture relating to CPU's, GPU's and customer accelerators! My client also integrates advanced machine learning algorithms, neuralnetworks, and state-of-the-art deep learning techniques into modern blockchain grafts. What’s Required? For this ML/LLVM Compiler Engineer role more »
to join a new and growing company working on Analog AI accelerator projects which utilizes Analog processing-in-memory to expedite neuralnetwork workloads. They are looking for an experienced Analog IC Design Engineer with team leadership experience who can take responsibility for growing a team of more »