1 to 25 of 213 scikit-learn Jobs in the UK excluding London

Hands-on expertise building and deploying deep learning models (e.g., CNNs, Transformers, graph neural networks) in real-world applications. • Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.). • Strong software engineering background: data structures, algorithms, distributed systems, and version control (Git). • Experience designing scalable ML infrastructure on cloud platforms (AWS SageMaker More ❯

and visualization tools to support AI model insights. · Write clean, well-documented, and secure code using Python, C C#, or R. · Leverage libraries such as TensorFlow, PyTorch, and Scikit-learn to prototype and optimize AI models. · Communicate complex technical concepts clearly to both technical and non-technical stakeholders. · Stay up-to-date with emerging AI trends, threat intelligence More ❯

AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and More ❯

/GenAI prompting and augmentation for textual analysis, with an interest in learning more. Experience working with commonly used data science libraries and frameworks, e.g. Spacy, pandas, numpy, scikit-learn, Keras/TensorFlow, PyTorch, LangChain, Huggingface transformers etc. Familiar with both on-premises and cloud-based platforms (e.g. AWS). Working understanding of ML Ops workflows and ability More ❯

or other medical imaging modalities and related software tools such as DICOM, pydicom, opencv, or ITK. Experience with Python and the Python scientific stack (numpy, scipy, matplotlib, pandas, scikit-learn, scikit-image). Experience with at least one major deep learning framework (Tensorflow, Keras, PyTorch, etc). Experience with writing production code and code review process. Strong More ❯

Join to apply for the Staff Machine Learning Engineer role at SecurityScorecard 2 days ago Be among the first 25 applicants Join to apply for the Staff Machine Learning Engineer role at SecurityScorecard Get AI-powered advice on this job More ❯

and relevance. • Deep understanding of AI/ML algorithms, LLMs, and modern AI architectures. • Proficiency in Python, SQL and AI/ML frameworks such as Hugging Face, LangChain, scikit-learn, TensorFlow, PyTorch and Semantic Kernel etc. • Develop compelling data visualizations and dashboards to support storytelling and real-time insights. • Ensure compliance with data governance, model explainability, and ethical More ❯

for efficient inference using formats like ONNX and TensorRT Proficiency in Python and ML/engineering frameworks such as PyTorch, TensorFlow (including Keras), Hugging Face (Transformers, Datasets) and scikit-learn, etc. Experience with MLOps tools, including MLFlow, workflow orchestrators (Airflow, Metaflow, Perfect or similar), and containerisation (Docker) Strong knowledge of cloud platforms like Azure, AWS or GCP for More ❯

intelligence, law enforcement, or government. Active EDV/UK*C security clearance. Proficient in Python and/or R, with experience using data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong statistical, mathematical, and data modelling skills. Experience with data visualisation tools (e.g., Power BI, Tableau, matplotlib, Plotly). Familiarity with big data tools and More ❯

for efficient inference using formats like ONNX and TensorRT Proficiency in Python and ML/engineering frameworks such as PyTorch, TensorFlow (including Keras), Hugging Face (Transformers, Datasets) and scikit-learn, etc Experience with MLOps tools, including MLFlow, workflow orchestrators (Airflow, Metaflow, Perfect or similar), and containerisation (Docker) Strong knowledge of cloud platforms like Azure, AWS or GCP for More ❯

for efficient inference using formats like ONNX and TensorRT Proficiency in Python and ML/engineering frameworks such as PyTorch, TensorFlow (including Keras), Hugging Face (Transformers, Datasets) and scikit-learn, etc. Experience with MLOps tools, including MLFlow, workflow orchestrators (Airflow, Metaflow, Perfect or similar), and containerisation (Docker) Strong knowledge of cloud platforms like Azure, AWS or GCP for More ❯

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in More ❯

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in More ❯

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in More ❯

Join to apply for the Data Science Consultant - Edinburgh role at Accenture UK & Ireland Join to apply for the Data Science Consultant - Edinburgh role at Accenture UK & Ireland Job Role : Data & AI Science Consultant Location: Edinburgh Career Level : Consultant Accenture More ❯

Social network you want to login/join with: Data Scientist - (Senior AI/ML Engineer), Warrington, Cheshire Job Details: Location: Manchester – Hybrid (3 days in the office/Home working) Salary: £75,000 - £100,000 (dependent on experience) Client More ❯

📍 Location: [Manchester – Hybrid 3 days in the office/Home working] 💷 Salary: £75,000 - £100,000 base (dependent on experience) Data Scientist - (Senior AI/ML Engineer) – Behavioural Biometrics/Data Science – Early Equity Opportunity We’re looking for candidates More ❯

Social network you want to login/join with: Data Scientist - (Senior AI/ML Engineer), Bolton, Greater Manchester Location: Bolton, Greater Manchester, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 8 Posted: 06.06.2025 Expiry Date More ❯

At Peregrine, were constantly seeking Specialist Talent that offer the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Project Change Professionals in large government organisations to Software Developers in the private sector More ❯

Expert knowledge of automated artefact deployment using YAML based CI/CD pipelines and Terraform Working knowledge of one or more ML engineering frameworks (e.g. TensorFlow, PyTorch, Keras, Scikit-Learn) Working knowledge of object-oriented programming and unit testing in Python Working knowledge of application and information security principles and practices (e.g. OWASP for Machine Learning) Working knowledge … roles early when the particular role and/or location has had sufficient applications. Nice-to-have skills Python SQL Numpy Pandas PySpark YAML Terraform TensorFlow PyTorch Keras Scikit-learn Unit Testing Python Scripting Docker Kubernetes AWS S3 DynamoDB Immingham, England Work experience Machine Learning DevOps Languages English Seniority level Seniority level Mid-Senior level Employment type Employment More ❯

wider strategy by supporting innovation pilots, data quality initiatives, and automation projects. What You’ll Need Strong experience in Python, SQL, and common data science libraries (e.g. pandas, scikit-learn, NumPy). Experience in developing, testing, and deploying data models in a real-world business setting. Comfortable working with unstructured data and navigating ambiguity in fast-paced environments. More ❯

messy datasets using Python. Practical expertise and work experience with ML projects, both supervised and unsupervised. Proficient programming skills with Python, including libraries such as NumPy, pandas, and scikit-learn, as well as R. Understanding and usage of the OpenAI API. NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including More ❯

such as Python, C# on Linux, Go, or similar. Utilise Advanced Technical Stack: Leverage our technical stack, including Python, SQL, PostgreSQL, BigQuery, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Pytorch, to develop robust and scalable AI/ML solutions. Strong foundation in data structures, algorithms, and problem-solving, with a clear focus on efficiency More ❯

learning, reinforcement learning) Proven ability to lead technical direction across projects or domains Expertise in model validation, explainability, governance and ethical AI principles Advanced proficiency in Python (e.g. Scikit-learn, TensorFlow/PyTorch) and SQL, plus familiarity with ML engineering and MLOps practices Nice to have: Experience in setting or influencing data science strategy in a growing organisation More ❯

📍 Location: [Manchester – Hybrid 3 days in the office/Home working] 💷 Salary: £75,000 - £100,000 base (dependent on experience) Senior AI/ML Engineer – Behavioural Biometrics/Data Science – Early Equity Opportunity We’re looking for candidates with strong More ❯