Hire the best Classification Specialists in England

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$100 hourly
Dragos D.
- 5.0/5
- (15 jobs)
Data Science Consultant with a strong focus on Artificial Intelligence, Machine Learning, and Natural Language Processing (NLP). I have extensive experience in deploying state-of-the-art generative AI models to drive strategic initiatives and innovation across various industries, from small start-ups to large multinationals. I continuously seek to expand my knowledge and apply new techniques and methodologies into my work. ✅ Generative AI: Expertise in developing affordable and scalable AI models and systems. ✅ Machine Learning: Proficient in leveraging BERT models and other advanced machine learning algorithms for tasks such as classification, named entity recognition, and semantic search. ✅ Prompt Engineering & Fine-tuning: Advanced techniques in prompt engineering and model fine-tuning to enhance output relevance and accuracy. ✅ Storage and Retrieval: Advanced data chunking and retrieval strategies using vector databases. ✅ Monitoring and Evaluation: Implementing monitoring and guardrails to enhance safety, accuracy, and reliability of AI systems. ✅ Agentic Workflows: Developing Multi-Agent Systems that can tackle complex tasks through collaboration. ✅ Embeddings Engineering: Adept at transforming high-dimensional data representations. ✅ Cloud Computing: Familiarity with AWS, Azure, and GCP for efficient deployment and scaling. ✅ Data Analytics & Visualization: Skilled in extracting insights and visualizing data.

Classification
Analytics
Data Modeling
Data Collection
Looker Studio
Tableau
Python
Machine Learning
Statistical Analysis
Google Sheets
Data Analysis
Microsoft Excel
Natural Language Processing
Data Visualization
$40 hourly
James D.
- 5.0/5
- (10 jobs)
Looking for a versatile machine learning engineer who can help take your projects to the next level? Look no further! With over 3 years of experience in MLOps and a proven track record of developing and deploying various machine learning models across multiple industries, I am the perfect candidate for your next project. Skills👇 - Experience in fine-tuning LLMs, Alpaca and RedPajama using LoRA, - Frameworks: PyTorch, Hugging Face, PyTorch Lightning, OpenCV - Mathematics degree from the University of Warwick (ranked #3 in UK) Specialties👇 - Computer vision (YOLO, DeepSort, OCR, Detectron2 - Classification, Sematic and Instance Segmentation) - Nature Language models (Finetuning GPT models, custom transformer architectures) - Pose Detection (Previously have extended dectron2 to 3d golf club keypoints) - Generative Adversarial networks (GANs), Super resolution, Image-to-image(CycleGAN), Text-To-Image, Neural Style transfer Additional Expertise: - Deploying models on: AWS, Azure and other GPU cloud providers - Create datasets from unfiltered data, first cleaning and preprocessing the data - Data analysis and visualisation I am dedicated to ensuring client satisfaction, effective communication and timely delivery of high-quality work. If you are looking for a skilled and reliable machine learning engineer, please don't hesitate to get in touch.

Classification
Hugging Face
Data Engineering
Neural Network
Transformer Model
pandas
Python
Deep Learning
PyTorch
Computer Vision
$120 hourly
Jan P.
- 5.0/5
- (6 jobs)
Freelance machine learning engineer and data scientist with 20 years experience in capital markets, commercial sales and insurance industries and five years of applied machine learning experience. Passionate about providing actionable insights to benefit business using machine learning. I have been working in investment banking for two decades. During this time, I have worked with nine of the world’s top 40 banks by market capitalization, helping them automate business analytics using data mining and, more recently, machine learning. Commercial machine learning: • Finance: classification of legal documents for financial compliance; sentence similarity between client statements and reference viewpoints for segmentation; sentiment analysis to determine attitude to stocks • Insurance: predicting customer lifetime value (CLV) for life insurance clients • Social Messaging: text classification for propaganda and toxic message filtering. • Science: (with Florence University) using unsupervised learning to identify factors in flour packaging that increase fungal toxicity risk. Machine learning expertise. • Development: Python, Jupyter notebook, PyCharm, Spyder, NumPy, Pandas, Scikit-learn, SciPy; R, R-Studio, dplyr, tidyr, tidyverse, rshape2, tsne, caTools, ggplot2, carat, tree, C50, gmodels, lattice, corrplot, maps. • Shallow learning: decision trees, tree induction, random forests, naïve Bayes, support vector machines, linear/logistic/ridge/lasso regression and ensembles. • Deep learning: Tensorflow/TensorBoard/Keras, PyTorch ANNs, CNNs, RNNs, LSTMs and transformers. • NLP: Genism, spaCy, NLTK, 1d-CNN, LSTM with attention, BERT. • Timeseries: statsmodels, SARIMA, VARIMA, LSTM, Prophet. • Visualization: matplotlib, seaborn, plotly, ggplot2, Graphviz, Tableau. Accomplished trainer and mentor. Whilst engaged by Deutsche Bank, I managed and delivered decision analytics training to over 70 liquidity risk professionals across six teams distributed worldwide using plans, courseware and applications I developed. I have since developed courseware and delivered courses on three continents. Capable Communicator. I am experienced in stakeholder-presentation of machine learning business benefits using captivating visualizations (Tableau, ggplot) and well-constructed business cases. The board of RapidGen Ltd retains me to advise on applying automated decision-making and machine learning in their products. Strong Theoretical Knowledge. I recently consolidated my machine learning skills by earning an MSc in Machine Learning (Distinction) from Royal Holloway, University of London. I also received the outstanding project award for 2020. I also hold a PhD in computer science from UCL, London. Adept at NLP. I specialize in natural language processing (NLP) applications for paraphrasing, structured QA and explainability. I recently developed a means of using adversarial data to improve transformer models’ performance in sentence similarity tasks. Excellent Writing Skills. I have published a book, maintain a blog and have presented at conferences and corporate webinars.

Classification
Business Process Model & Notation
Data Visualization
Tableau
Machine Learning
Data Science
Deep Learning
Keras
PyTorch
TensorFlow
BERT
Python
Natural Language Processing
$20 hourly
Hammad A.
- 4.7/5
- (8 jobs)
We provide AI, DL, NLP and ML based services and products, with experience of more than 15 years. Our team comprises of researchers, developers with wide range of expertise. We have a wide range of expertise in data analytics, particularly in Text analytics and NLP using traditional methods as well as modern deep learning based methods. We have experience of working (academia, commercial) in England, Ireland and Pakistan. Our expertise can be briefly summarized as follows: Thematic Domains: ================= Medical Information Extraction Financial Data/Text Analytics Computer Vision Skills: ======= Deep Learning: RNNs, LSTM, ANN, CNN, GAN Regression (Linear, Logistic), SVM, Decision Trees Clustering (Unsupervised Learning) Google Sheet, Google Colab Academic Writing and Supervision ================================ We have done more than 60 academic projects including PhD, MS and UG level projects. We can provide following services: Help in writing Research Papers, Supervision, Research Assistance, Development Assistance

Classification
Artificial Intelligence
Data Mining
Predictive Analytics
Machine Learning
Machine Learning Model
Natural Language Processing
BERT
Google AutoML
pandas
NLTK
$25 hourly
Amir T.
- 5.0/5
- (3 jobs)
I'm a Python & MATLAB developer with 9+ years of experience in biomedical engineering, AI, and medical signal & image processing. I work on machine learning, deep learning, and smart algorithms for medical applications. What I’m Good At: ✔ Expert in Python & MATLAB for AI, data analysis, and automation ✔ Hands-on with TensorFlow, PyTorch, NumPy, Pandas, OpenCV ✔ Working with all kinds of medical signals, especially EEG, ECG, MRI, and CT scans ✔ Strong background in feature extraction, classification, and clustering ✔ Deep learning for pattern recognition, medical diagnostics, and imaging ✔ Published research in IEEE & SN Computer Science Cool Projects I’ve Worked On: ✅ Skin Cancer Diagnosis – Built a reinforcement learning-based AI model (Published in IEEE) ✅ Autism Detection – Designed a smart ASD diagnosis system (Published in SN Computer Science) ✅ Brain Signal Analysis – Used CNNs & LSTMs for Parkinson’s & ADHD detection ✅ EEG & ECG Processing – Created QRS detection, EEG clustering, and signal feature extraction ✅ Medical Image Classification – Trained a YOLO model on MRI scans with advanced image enhancement ✅ Psychiatric & Neurological Disorder Detection – Built deep learning models for bipolar disorder & epilepsy ✅ Lung & Bone Fracture Detection – Used Inception-v3 & Hough Transform for CT & X-ray analysis I love working on AI-driven healthcare solutions and always look for exciting projects in medical tech & deep learning. Let’s build something amazing!

Classification
Biomedical Engineering
Digital Signal Processing
Artificial Intelligence
Feature Extraction
OpenCV
pandas
MATLAB
Python
Image Processing
Machine Learning Model
Deep Learning
$25 hourly
Lampros V.
- 0.0/5
- (0 jobs)
Experienced Data Scientist with expertise in predictive modeling, NLP, and front-end development. I specialize in transforming data into actionable insights and building ML-driven solutions that improve decision-making. ✅ What I Bring to the Table 3+ years of experience in Machine Learning, NLP, and Front-End Development Expertise in data preparation, feature engineering, and model optimization Strong background in data visualization and dashboard development Experience integrating ML models with front-end applications 🚀 Successfully Delivered Projects CDIO Dashboard – Developed a front-end data visualization platform using UI Builder in ServiceNow Predictive Modeling – Built and optimized classification and regression models NLP & Topic Modeling – Implemented BERTopic for document clustering and insights Clustering & Segmentation – Applied K-Means, Hierarchical, and DBSCAN clustering Statistical & Exploratory Data Analysis – Uncovered trends and business insights from structured and unstructured data 🛠️ Tech Stack & Tools Languages: Python, R, JavaScript, SQL, SAS ML & AI Frameworks: Scikit-Learn, TensorFlow, Numpy, Pandas, BERTopic Data Visualization: Matplotlib, Seaborn, ServiceNow UI Builder Deployment & Cloud: (Currently learning AWS/Azure ML deployment) 📌 Looking to work on ML solutions, predictive analytics, and data-driven applications that drive real business impact!

Classification
Data Visualization
Data Cleaning
JavaScript
Artificial Intelligence
SQL
R
SAS
Data Analysis
Data Science
Natural Language Processing
Deep Learning
Machine Learning Model
Python
pandas
$25 hourly
Vasilis K.
- 0.0/5
- (0 jobs)
Computer Scientist with extensive experience in software engineering with a specialty in A.I. Highly skilled in Deep Leaning and Large Language model apps. Highly skilled in working on Full stack applications {Python/JS} that leverage AI technology. Skilled Cloud developers with AWS services Experienced in working with many different data modalities.

Classification
Unstructured Data
Recommendation System
Python
LangChain
Multimodal Large Language Model
Large Language Model
LLM Prompt Engineering
LLM Prompt
Natural Language Processing
Vector Database
Data Analysis
Data Mining
Machine Learning
Artificial Intelligence
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