1 to 25 of 33 Neural Network Jobs in the UK excluding London

engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills, with a passion for More ❯

pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points More ❯

equivalent qualification, or other evidence of equivalent knowledge. Professional or research experience in some of the following: ML/NLP tools like PyTorch, Scikit-learn, Transformer architecture and Neural Networks. Coding and software engineering in mainstream programming languages, such as Python. Statistical packages for data manipulation and in development of predictive and prescriptive models (e.g. R, SAS). More ❯

world problems; Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar; Experience with multi-GPU and distributed training at scale More ❯

scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops workflows Work alongside Data Engineers and DevOps Engineers to ensure continuous integration and deployment of machine learning models in production. Proactive learning and researching … Computer Science, Physics, Mathematics, Artificial Intelligence) is preferable Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to … leave days per year Pension: Award winning pension scheme (up to 10% employer contribution) Wellbeing: Employee Assistance Programme with access to free mental health support, financial wellbeing support and network groups to demonstrate our ongoing commitment to diversity & inclusion (Enable, Pride, Equalise, Reservists, Carers) Lifestyle: Discounted Gym membership, Cycle to work scheme Training: Free access to more than More ❯

related discipline. Strong numerical and statistical knowledge (e.g. Bayesian/frequentist methods, probability distributions). Solid understanding of machine learning algorithms (e.g. linear/logistic regression, random forests, neural networks, time series models). Experience with multiple programming languages — with Python and SQL preferred. Interest or familiarity with large language models and prompt engineering (desirable). A proactive More ❯

engineering, mathematics, physics, statistics Experience of data science in finance, insurance or Ecommerce is an advantage but not required Experience of deployment in a cloud environment Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas Experience with API development SQL experience Software engineering experience DevOps/MLOps experience Good working understanding of CI/CD If More ❯

or MATLAB Minimum of 3 years hands-on experience in developing image processing algorithms: segmentation, classification, object detection and other image analysis applications Familiarity with machine learning and neural networks (YOLO, CNNs, etc.) Experience using TensorFlow, PyTorch, or similar frameworks Understanding of image-processing pipeline design, numerical methods, and … statistics Strong problem-solving ability, able to move from analysis to prototype quickly Desirable Experience Experience with TensorRT, Nvidia Deepstream, or other deployment frameworks Background in neural network design or edge inference Programming in C/C++ and CUDA Realtime or embedded vision applications Why Join AssetCool? Tackle some of the toughest challenges in robotics, vision, and More ❯

or MATLAB Minimum of 3 years hands-on experience in developing image processing algorithms: segmentation, classification, object detection and other image analysis applications Familiarity with machine learning and neural networks (YOLO, CNNs, etc.) Experience using TensorFlow, PyTorch , or similar frameworks Understanding of image-processing pipeline design , numerical methods , and … statistics Strong problem-solving ability, able to move from analysis to prototype quickly Desirable Experience Experience with TensorRT , Nvidia Deepstream , or other deployment frameworks Background in neural network design or edge inference Programming in C/C++ and CUDA Realtime or embedded vision applications Why Join AssetCool? Tackle some of the toughest challenges in robotics, vision, and More ❯

with a deep-tech start-up seeking a highly skilled AI engineer to join their growing team. This role will focus on developing AI algorithms for Neural Network-based NLP and Computer Vision, while collaborating with institutional, academic, and commercial partners. The Role Develop and refine AI models for Natural Language Processing (NLP) and Computer Vision Adapt … Key Requirements Active SC Clearance is required PhD or MSc in Computer Science, Electrical Engineering, Mathematics, or a related field, or equivalent industry experience Expertise in Neural Network-based NLP and Computer Vision Strong programming skills in Python Proven ability to work collaboratively within a research team Strong analytical and problem-solving skills Preferred Skills PhD in More ❯

with a deep-tech start-up seeking a highly skilled AI engineer to join their growing team. This role will focus on developing AI algorithms for Neural Network-based NLP and Computer Vision, while collaborating with institutional, academic, and commercial partners. The Role Develop and refine AI models for Natural Language Processing (NLP) and Computer Vision Adapt … Key Requirements Active SC Clearance is required PhD or MSc in Computer Science, Electrical Engineering, Mathematics, or a related field, or equivalent industry experience Expertise in Neural Network-based NLP and Computer Vision Strong programming skills in Python Proven ability to work collaboratively within a research team Strong analytical and problem-solving skills Preferred Skills PhD in More ❯

role focuses on advancing the field of AI by optimizing and deploying pioneering models, particularly Large Language Models (LLMs) and Generative AI algorithms. This involves deep analysis of neural networks, optimizing software and hardware, developing innovative solutions, and collaborating with teams to build high-performance AI systems. Responsibilities : Your responsibilities involve working with major ML frameworks (PyTorch, TensorFlow … allowing you to influence both IP and system architecture. Required Skills and Experience : • A background in computer science, software engineering or other comparable skills • Experience training and debugging neural networks with TensorFlow and PyTorch using Python • Understanding, deploying, and optimizing Large Language Models (LLMs) and Generative AI algorithms. • Experience using software development platforms and continuous integration systems • Familiarity … a protected veteran. Company: ARM Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Neural Networks , NLP , United Kingdom More ❯

Required I'm working with a deep-tech start-up looking for an experienced AI Engineer to join their expanding team. This role focuses on developing Neural Network-based NLP and Computer Vision algorithms, working alongside institutional, academic, and commercial partners. The Role • Develop/refine AI models for NLP • Design new scientific methods & experimental protocols • Analyze … meetings Key Requirements • Active SC Clearance (or eligible for SC Clearance) • MSc/PhD in CS, Engineering, Maths or relevant field (or equivalent experience) • Expertise in Neural Network-based NLP & LLM • Strong Python skills • Collaborative, analytical, and problem-solving mindset Gen AI Engineer – Hybrid (Oxford 2 Days/Week) – £100,000+ – SC Clearance Required More ❯

Computer Science, Machine Learning, or a closely related field Strong foundation in machine learning and deep learning algorithms (e.g., transformers, GNNs, supervised/unsupervised learning, reinforcement learning, deep neural networks) Excellent Python programming skills with experience in developing and debugging production-level code Desired Skills (Bonus Points): Proven experience in recommender systems, behavioural AI, and/or reinforcement More ❯

/Physics/Engineering/Text Analytics/Speech processing/Software Engineer/Research/Reseaching/Journals/AI/Artificial Intelligence/Machine Vision/Neural Networks/Developer/Algorithm ******************************************************************************** RedTech Recruitment Ltd focus on finding roles for people leaving academia entering industry. Even if the above role isn’t of interest, please visit More ❯

expansion, the company is looking to onboard a Senior Data Scientist with strong commercial experience in building Recommender Systems. Experience in designing and deploying Graph Models or Graph Neural Networks would be a significant advantage. Responsibilities Work with senior colleagues and internal stakeholders to spot business opportunities to leverage data science techniques and add business value. Build relevant … but all backgrounds considered). Excellent Python skills. Strong Machine Learning & Statistical knowledge Commercial Recommendation Engine experience Software Development best practice approach (CI/CD experience, etc.) Graph Neural Networks/Knowledge Graph experience. If this role interests you and you would like to learn more, please apply here or contact us via niall.wharton@Xcede.com (feel free to More ❯

algorithms relevant to the platform. Delivering high-quality, specification-compliant code. Utilizing tools like OpenCV, TensorFlow, and other computer vision libraries. Applying knowledge of machine learning algorithms and neural networks to enhance processing techniques. Producing high-quality design documentation that adheres to software standards for regulated industries. Demonstrating proficiency in computer vision, image processing, and deep learning methodologies. More ❯

preparation, exploratory analysis, model training, validation, and deployment. Develop and fine-tune predictive algorithms such as: Classification: Logistic Regression, Decision Trees, Random Forests. Regression: Linear Models, Gradient Boosting, Neural Networks, K-Nearest Neighbors. Build models for customer behavior prediction and risk assessment in insurance, particularly in underwriting and claims. Apply natural language processing (NLP) for tasks like document More ❯

and Experience: Previous experience within general insurance 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 Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science More ❯

Previous experience within Personal Lines Pricing is advantageous Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science More ❯

Previous experience within Personal Lines Pricing is advantageous Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science More ❯

within Personal Lines Pricing, ideally including team or project leadership Proficiency in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL Proven ability to interpret performance data and make commercial recommendations Experience with WTW’s Radar and Emblem More ❯

within Personal Lines Pricing, ideally including team or project leadership Proficiency in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL Proven ability to interpret performance data and make commercial recommendations Experience with WTW's Radar and Emblem More ❯

Mathematics, Physics, Statistics, or Engineering. Demonstrated experience developing systematic cash equity/statistical arbitrage strategies. Experience with machine learning models and/or statistical learning models (e.g. LLMs, neural networks, Deep Learning models, etc.). Capacity to excel in a fast-paced environment. Strong coding skills in at least one of the following programming languages: Python, R, MATLAB More ❯

into senior technical or leadership roles, supported by tailored mentoring and professional training opportunities. You will be encouraged to actively engage in industry and academic events, expanding your professional network and visibility within the quantum technology community. Our collaborative environment ensures that your contributions are recognised and that your career grows alongside our innovative technologies. Responsibilities: Develop robust algorithms … track record of successfully collaborating in cross-functional teams and handing off algorithms to software development teams. Nice to have experience Experience in machine learning, particularly neural network approaches to optical data analysis. Knowledge of anti-counterfeiting technologies or authentication processes. Benefits We are always listening to our team and evolving the benefits available to our people. More ❯