City of London, London, United Kingdom Hybrid / WFH Options
E.ON Next
consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neuralnetworks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising more »
Central London / West End, London, United Kingdom Hybrid / WFH Options
E.ON Next
consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neuralnetworks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising more »
cluster computing and containerization Experience working in parallel/scalable languages such as Spark or Dask Experience working with knowledge graphs and graph neuralnetworks Biotech or biopharma experience, ideally within R&D Experience in a startup or scale-up environment Dewpoint Therapeutics is the first company founded 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 »
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 »
Possess a strong foundational knowledge of AI, ML, and data science principles, including signal/pattern recognition, classification techniques, and deep neuralnetwork training. Have practical experience with various Data Science and ML frameworks or tools. Excellent verbal and written communication skills Proficient in using MS Office more »
management skills, with a proven track record of delivering projects on time and within scope. fundamentals in programming, statistics, mathematics, and ML algorithms (neuralnetworks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML/DS more »
Leicestershire, England, United Kingdom Hybrid / WFH Options
Harnham
across the business personalising the customer shopping experience online through past behaviours and predictive modelling building and working with models from scratch, across neural networking, segmentation, regression, propensity to buy/churn/lapse analyse the performance and success of statistical modelling, personalisation and marketing performance overseeing a more »
experience in configuring training and inference setups for open-source models. Proficiency with vector databases such as Milvus and Pinecone. Excellent understanding of neuralnetworks and advanced LLM architectures. Good experience in programming with languages such as Java, Python, or Go. more »
systems, motor control systems or engine control systems Experience with advanced control strategies or machine learning approaches (e.g., fuzzy logic, adaptive systems, recursive neuralnetworks, convolutional neuralnetworks) Analytical approach to developing control algorithms Extensive knowledge with a range of digital and analog interfaces including GPIB 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 »
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 Learning … 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 »
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 »
CUDA/OpenCL Kernel Development and a deep understanding of hardware architecture. Responsibilities: Design and develop high-performance CUDA kernels for neuralnetwork inference, training, or other compute-intensive tasks. Optimise existing CUDA kernels to improve performance, reduce latency, and minimise power consumption What we need: Strong more »
We are looking for a goal oriented and driven AI/ML Engineers with relevant experiences. Key Responsibilities: NeuralNetwork Training : Develop and train advanced neuralnetwork models to meet specific functional requirements. Deployment and Integration : Efficiently deploy these neuralnetworks on … trends. Skills and Qualifications: Minimum 2 years of experience in building AI/ML software. Strong expertise in machine learning and neuralnetwork algorithms. Proficient in programming languages like Python, and frameworks such as TensorFlow or PyTorch. Experience with server deployment, cloud computing environments, and API development. more »
London, England, United Kingdom Hybrid / WFH Options
E.ON Next
consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neuralnetworks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising more »
or Java, as well as familiarity with machine learning frameworks such as TensorFlow or PyTorch. Strong understanding of AI concepts and techniques, including neuralnetworks, deep learning, and reinforcement learning. Experience with cloud computing platforms such as Azure, AWS, or Google Cloud, and familiarity with containerization technologies such more »
whilst supporting our employees. We are currently looking for a researcher in our Computing Research Group, working on exploring how the use Graph NeuralNetworks for healthcare related applications. We have a strong preference for the development of AI techniques that can be applied in the real … world and that directly contribute to social good. Your role will involve: The development of new state-of-the-art Graph NeuralNetwork techniques to be applied to large scale data coming from healthcare applications Implementation of these techniques into proof-of-concept code and demonstrations that more »
academic publications Excellent written and verbal communication skills The following skills are optional but desirable: · Experience with Graph based algorithms such as Graph NeuralNetworks · Working with knowledge graphs and graph databases · Experience in a healthcare related field such as cell simulation, bio-informatics or genomics Achieve together more »
with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy). Strong knowledge of machine learning techniques and algorithms (e.g., regression, classification, clustering, neuralnetworks). Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and proficiency in SQL for data extraction and manipulation. Excellent problem-solving skills more »
with the ability to write algorithms with ease. Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neuralnetworks, and sequence-based models. Experience with advanced machine learning techniques, including LLM and generative AI for generating high-quality metadata and artwork. Proven more »
Bedford, England, United Kingdom Hybrid / WFH Options
Understanding Recruitment
Proficiency in Python Strong NLP experience – NumPy, Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neuralnetworks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure more »
Architect to join their new NPU development centre in Cambridge. This company is developing never-before-seen technology for next generation neuralnetwork accelerators for edge devices and datacenters. They are building their Architecture team, seeking a NPU Architect with to innovate NPU (Neural Processing … code, with strong knowledge of either: Computer architecture (CPU/GPU), dataflow architecture, ISA design OR - AI acceleration, machine learning, dataflow architecture, or Neural Processing Unit (NPU)The successful candidate will earn an excellent salary and really enjoy working within this friendly, fast-paced and hugely innovative team. more »
Performance Tools Engineer in Cambridge, UK About Neubla As pioneers of innovative neural computing, Neubla is transforming the future of computing by bringing the enormous potential of neural computing to the highest performance in most data-intensive applications. Neubla is made up of people with expertise … CPU. However, in AI accelerator domain, the performance model has often been taken lightly due to the regular computation patterns of neuralnetwork models. However neuralnetwork models are getting bigger and much more complex every month, and it became almost impossible to estimate more »
Cheltenham, England, United Kingdom Hybrid / WFH Options
Ripjar
on a daily basis to help our customers detect financial crime and other risks will include: Entity Resolution, Natural Language Processing (NLP) techniques, NeuralNetworks, Large Language Models and Visual Analytics. You will therefore need to be able to pick up new ideas and concepts quickly and be more »