Hire the best Classification Specialists in the United Kingdom

Check out Classification Specialists in the United Kingdom with the skills you need for your next job.

Get started

$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
$10 hourly
Imtiaz U.
- 5.0/5
- (6 jobs)
Computer Engineer with Experience in Python, C/C++, MATLAB -Competitive Programming experience in C++ involving Data Structures and Algorithms -Passionate for Teaching -Experience in Digital Image Processing in Both Python And MATLAB -

Classification
Convolutional Neural Network
Neural Network
Image Processing
Machine Learning
Data Science
Deep Learning
Natural Language Processing
Keras
Machine Learning Model
TensorFlow
Model Tuning
Computer Vision
Python Scikit-Learn
Python
$25 hourly
Amir T.
- 5.0/5
- (3 jobs)
I'm Amir, a dedicated Python & MATLAB developer with over 9 years of hands-on experience in biomedical engineering, specializing in AI, machine learning, and deep learning for medical signal & image processing. My passion lies in developing smart algorithms that drive innovation and improve outcomes in healthcare diagnostics. What I’m Good At: ✔ Expert in Python & MATLAB for AI development, data analysis, and automation. ✔ Hands-on proficiency with TensorFlow, PyTorch, NumPy, Pandas, OpenCV for robust model building. ✔ Extensive experience working with diverse medical signals and imaging data, including EEG, ECG, MRI, and CT scans. ✔ Strong background in feature extraction, classification, and clustering techniques. ✔ Deep expertise in deep learning for pattern recognition, medical diagnostics, and advanced imaging analysis. ✔ Published ML researcher with articles in IEEE & SN Computer Science, demonstrating a commitment to cutting-edge advancements. ✔ Peer reviewer at Frontiers in Neuroscience, ensuring high standards in scientific research. Cool Projects I’ve Worked On: ✅ Sleep Apnea Detection – Developed a signal analysis and machine learning approach for apnea detection using wrist actigraphy signals and feature extraction. ✅ 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 – Utilized CNNs & LSTMs for Parkinson’s & ADHD detection. ✅ EEG & ECG Processing – Created robust QRS detection, EEG clustering, and advanced signal feature extraction. ✅ Medical Image Classification – Trained a YOLO model on MRI scans with advanced image enhancement. ✅ Psychiatric & Neurological Disorder Detection – Developed deep learning models for bipolar disorder & epilepsy. ✅ Lung & Bone Fracture Detection – Applied Inception-v3 & Hough Transform for CT & X-ray analysis. I am passionate about building AI-driven healthcare solutions and am always seeking exciting projects in medical technology and deep learning. Let’s connect and create something truly impactful together!

Classification
Biomedical Engineering
Digital Signal Processing
Artificial Intelligence
Feature Extraction
OpenCV
pandas
MATLAB
Python
Image Processing
Machine Learning Model
Deep Learning
$55 hourly
Hilda J.
- 0.0/5
- (0 jobs)
I am a data analyst with over 3 years of experience in data collection, data cleaning, analysis, visualization, and reporting. Holds a Master's degree in Data Science and a Bachelor's in Computer Science Engineering. - Proven ability to extract insights from structured and unstructured datasets to support business decision-making. - Proficient in Python, R, SQL, Excel, and business intelligence tools like Power BI and Tableau. - Skilled in machine learning (ML) algorithms, data modeling, and statistical analysis.

Classification
Seaborn
Matplotlib
NumPy
Feature Extraction
Feature Engineering
Logistic Regression
Decision Tree
Hierarchical Clustering
K-Means Clustering
Microsoft Excel
Python
pandas
Data Extraction
Data Analysis
$100 hourly
Jordan C.
- 0.0/5
- (0 jobs)
I’m an experienced ML/AI industry expert with a focus on building production-ready systems across language, voice, and retrieval-based modalities. I lead deep learning at Chattermill AI (clients include Uber, Amazon), where I’ve delivered scalable solutions using bespoke LLMs, retrieval-augmented generation (RAG), semantic search, and agentic workflows. I have published papers at top journals (EMNLP, ICLR, NAACL and COLING). Academically, I earned a Distinction MSc in Computing (Machine Learning & AI) from Imperial College London with an average of 92% and won a prize for first-author work with Google DeepMind published at EMNLP. My open-source footprint spans working for LAION AI and contributing to MMTEB, Hugging Face Transformers, I have fine-tunes ranging up to 70B parameters on Hugging Face downloaded 300k+ times.

Classification
Machine Learning Model
Artificial Intelligence
Fraud Detection
Time Series Analysis
PyTorch
Deep Learning
Model Deployment
Data Science
Machine Learning
Recommendation System
Hugging Face
Generative AI
AI Model Training
Retrieval Augmented Generation
$20 hourly
Hira Beril K.
- 0.0/5
- (0 jobs)
I am an artificial intelligence engineer with a bachelor's and master's degree in electrical-electronics engineering and computer engineering. In addition to my more than 4 years of Python programming experience, I have more than 3 years of expertise in deep learning, computer vision and natural language processing (NLP).

Classification
Convolutional Neural Network
Recurrent Neural Network
Artificial Neural Network
Neural Network
Artificial Intelligence
Object Detection
Regression Analysis
Keras
TensorFlow
PyTorch
Python Scikit-Learn
Deep Learning
Machine Learning
Python
$25 hourly
Atiyeh A.
- 0.0/5
- (0 jobs)
I'm a Signal Processing expert with experience in Machine Learning, especially Audio applications. I can help with: - Speech signal Pre-processing, De-noising and Enhancement - Audio signal (e.g. Healthcare, Urban Sounds, ...) Classification PhD in Signal Processing | 7+ years experience | Python, MATLAB | Published researcher (ICASSP, IEEE) Recent projects: Respiratory sound classification for healthcare, spatial audio for VR, speech enhancement systems.

Classification
Recurrent Neural Network
Convolutional Neural Network
Deep Learning
Matplotlib
Python
Jupyter Notebook
Python Scikit-Learn
Machine Learning
MATLAB
Digital Signal Processing
Want to browse more freelancers?
Sign up