26 to 50 of 71 scikit-learn Jobs in the North of England

and Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to More ❯

and Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to More ❯

and Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to More ❯

and Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to More ❯

and Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to More ❯

in Data Science, Computer Science, Mathematics, Statistics, Sports Science, or a related field Additional Qualities We Value: Experience working with large datasets and using tools such as Pandas, Scikit-Learn, or similar Any experience training or implementing Large Language Models and related generative AI technologies would be a plus Strong time management skills and the ability to break More ❯

problems. You'll need: • Experience developing, deploying, and maintaining machine learning models • Strong Python skills - can write clean, testable code, and have experience with pandas/polars, numpy, scikit-learn, TensorFlow/PyTorch, etc. • Experience using SQL and managing large datasets from disparate sources • Familiarity with cloud-based tools such as AWS SageMaker, Lambda, CDK • Strong understanding of More ❯

Unix-based systems, git, and github for collaboration and review). Machine/Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases). An understanding of Language Models, using and training/fine-tuning and a familiarity with industry-standard LM families. Master's degree or PhD More ❯

What We’re Looking For A strong foundation in data structures, algorithms, data modelling, and software architecture. Solid hands- on experience in Python and its ecosystem ( Jupyter, Pandas, Scikit- learn, Matplotlib), and comfort working with SQL for data analysis. Experience with LangChain is a plus. Experience of delivering AI and ML- based products into production environments, with an More ❯

2+ years of experience in data science or machine learning roles. Strong knowledge of behaviour biometrics or sensor-based or time series data. Solid Python skills (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch). Experience with time-series data or sensor-based or behavioural biometric data, and sequential modelling (e.g., LSTMs, Transformers). Comfortable working with SQL and More ❯

Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code; Familiarity with medical or life science data is a strong plus; Expertise in SQL, Pandas, Scikit-learn, and modern data workflows; Comfortable working in Google Cloud Platform (GCP) environments. Bonus points for experience with: State-of-the-art NLP models, Transformers, Agentic Approaches for mixed More ❯

guidance to junior data science team members. What We're Looking For Essential Skills Python : Advanced proficiency in data manipulation, machine learning, and data science libraries (e.g., pandas, scikit-learn, TensorFlow, etc.). SQL : Strong skills in querying large datasets and optimizing performance for analysis. Machine Learning : Proven hands-on experience with various techniques including regression, classification, clustering More ❯

understanding of data structures, software architecture, and data modeling. Experience with tabular data, computer vision, imagery, point clouds, and game datasets. Proficiency with ML libraries like NumPy, OpenCV, scikit-learn, PyTorch/PyTorch3D, TensorFlow, Keras; familiarity with CI/CD, version control (GitLab, Perforce), and cloud platforms (preferably AWS). Benefits include: 22 days holidays + Christmas closure More ❯

implementing, and optimizing computer algorithms for mission-critical systems. Proficiency in creating computer programs, including integration with larger software systems. Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and algorithm development tools. Experience with rapid-response R&D, including prototyping and experimental evaluation in dynamic environments. Strong problem-solving skills and the ability to bridge algorithm More ❯

Improving how data scientists collaborate Thanks! We'll get back to you very soon. Oops! Something went wrong while submitting the form. With a team of industry-leading specialists, we conceive and build open-source solutions that break new ground. More ❯

Python Technical Architect Location: Bradford Working Arrangement: Hybrid, 3 days per week onsite Start Date: ASAP Duration: 6 Months Day Rate: Competitive DOE Inside IR35 Our client, a large global consultancy, is seeking an experienced Python Backend Architect to lead More ❯

Start Date: ASAP Duration: 6 Months Day Rate: Competitive DOE Inside IR35 We’re seeking an experienced Python Backend Architect to lead the design and development of secure, scalable backend systems. The role involves setting coding standards, guiding development teams More ❯

📍 Location: [Manchester - Hybrid/Home working] 💼 Job Type: Full-time 💷 Salary: £50,000 - £80,000 base AI/ML Engineer – Start-Up – Stock Consideration We are looking for a mid-level AI/Machine Learning Engineer to join a vibrant More ❯

3 days ago Be among the first 25 applicants Direct message the job poster from Queen Square Recruitment Senior Delivery Partner at Queen Square Recruitment Python Technical Architect Location: Bradford Start Date: ASAP Duration: 6 Months Day Rate: Competitive DOE More ❯

ata Scientist - Permanent Role Location: York or Manchester Type: Permanent Reporting to: Head of Data Science A leading financial services company is seeking a talented Data Scientist to join their innovative technology team, driving impactful solutions that shape the business More ❯

ata Scientist - Permanent Role Location: York or Manchester Type: Permanent Reporting to: Head of Data Science A leading financial services company is seeking a talented Data Scientist to join their innovative technology team, driving impactful solutions that shape the business More ❯

someone who enjoys solving real business problems and seeing their work make a difference. What they're looking for: Strong Python skills and experience with ML libraries like scikit-learn, TensorFlow or PyTorch A good understanding of the full ML lifecycle - from data wrangling to live deployment Comfortable working with both structured and unstructured datasets Ideally some experience More ❯

business that is investing in its data capabilities! Requirements Experience developing and deploying machine learning models Skills in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn Hands-on experience with Databricks (either on AWS or Azure) Understanding of ML Ops principles is beneficial Confident working independently with a can-do attitude Benefits Salary up More ❯

with cloud-based tools like AWS SageMaker and Lambda, and you'll know your way around Git, SQL, and common Python data science libraries (like pandas/polars, scikit-learn, xgboost/lightGBM, and TensorFlow/PyTorch). Bonus points if you've worked with linear programming, or have experience in time series forecasting, agent-based modelling, and More ❯

or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of public sector data More ❯