Royston, Hertfordshire, South East, United Kingdom
Vector Recruitment Ltd
Engineer Strong foundation in Python Excellent knowledge of ML libraries and frameworks like TensorFlow, PyTorch, Keras and scikit-learn. Experience with neuralnetwork architectures, deep learning techniques, and building and training deep learning models. Creating and handling large datasets including pre-processing steps and familiarity with data more »
Eastleigh, Hampshire, United Kingdom Hybrid / WFH Options
Platinum Recruitment Consultancy
following predictive modelling techniques e.g. Logistic regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets. Experience of Emblem and Radar. Experience in the use of programming language such as Matlab and Python. Very strong planning, prioritisation and organisational 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 »
Manchester Area, United Kingdom Hybrid / WFH Options
Vermelo RPO
or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical more »
The Role: Your day-to-day responsibilities will include: Working on core segmentation, churn, and recommender system-based projects, alongside deep learning and neuralnetworks to support core clients Part of a team of 8 reporting to the Head of Data Science - working closely with a wider Engineering more »
you: Proficiency in Python Strong NLP experience – NumPy, Pandas Commercial hands-on experience with Hugging Face and finetuning LLMs Expertise in learning algorithms, neuralnetworks and ML frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big more »
PCA and clustering to glean real-time data from inline process measurements for enhanced process monitoring Developing soft sensors based on PLS and neural net models to predict slurry particle size and viscosity Implementing Bayesian methods and/or state-of-the-art methods for optimising the Design more »
Science, Mathematics, Statistics, Physics, Engineering, or a related field. Strong background in deep learning, with hands-on experience in developing and implementing deep neuralnetworks using frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages such as Python and experience with data manipulation and analysis libraries 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 »
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 »
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 »
and Large Language Models (LLMs). Knowledge of distributed computing and cloud platforms (AWS, Azure, or Google Cloud). Research experience in Graph NeuralNetworks would be a plus. Strong publication record in relevant conferences or journals. Benefits (Remote must be within 4-5 hours of CET timezone more »
Swindon, England, United Kingdom Hybrid / WFH Options
Nationwide Building Society
business problems, using coding in SAS/Python/R or similar Have deep knowledge of different advanced techniques, such as Gradient Boosting, NeuralNetworks, Support Vector Machines, unsupervised learning methodologies etc., including of their merits and limitations Have hands-on experience of leading, motivating and mentoring a 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 »
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 »
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 »
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 »
testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neuralnetworks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If more »
testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neuralnetworks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If more »
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 »
Science or Robotics. Relevant publications or talks at industry conferences or in journals. Developed machine learning applications in Python. Experience with compilers for neural networks. Experience developing and fielding autonomous systems. Familiarity with Google Cloud Platform. The Candidate Journey: Multi-Step and Two-Way No-one wants to more »
Your meticulous attention to detail ensures data quality and integrity throughout the preprocessing phase. You excel in training and fine-tuning neuralnetwork-based language models, leveraging large-scale text corpora to optimise model performance for specific NLP tasks. Your experience extends to selecting appropriate model architectures … for specific NLP tasks through exploratory data analysis (EDA) and validation against ground truth or domain knowledge. Demonstrated experience in training neuralnetwork-based language models from scratch using large-scale text corpora. Proficiency in selecting appropriate model architectures, hyperparameters, and training strategies to optimize model performance 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 »