1 to 25 of 71 Permanent scikit-learn Jobs in the UK excluding London

engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI ...

Python (or similar experience with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written ...

Python (or similar experience with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written ...

Python (or similar experience with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written ...

Python (or similar experience with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written ...

client in conjunction with this vacancy only. KEY SKILLS AI, Python, Machine Learning, Software Engineering, Data, APIs, Cloud, Agile, Python, TensorFlow, PyTorch, Scikit-learn, XGBoost, NLTK, OpenAI, LangChain, Pandas, NumPy, MLflow, Kubeflow, Docker, Kubernetes, Azure Machine Learning, Google Vertex ...

knowledge sharing. Ideal Background Strong analytical mindset and passion for deriving actionable insights from complex data. Proficient in Python or R (pandas, NumPy, scikit-learn, TensorFlow or equivalent) and SQL. Experience as a data scientist on client-facing software solutions, ideally in optimisation or energy-focused domains. Solid ...

Data Science, Mathematics, Statistics, Artificial Intelligence or similar Strong programming skills in Python Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn Experience working with large datasets and building data pipelines Knowledge of cloud platforms such as AWS, Azure, or GCP would be beneficial Experience ...

Scientist with production ML exposure Strong understanding of ML algorithms, model development, and deployment Experience with Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Familiarity with data pipelines and cloud or on-prem environments Understanding of MLOps principles Ability to work in secure or regulated environments Eligibility ...

Ph.D. preferred). Proficiency in programming languages, particularly Python, R, and SQL. Experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn). Strong analytical skills with a knack for problem-solving and critical thinking. Excellent communication skills, with the ability to explain complex concepts ...

Ph.D. preferred). Proficiency in programming languages, particularly Python, R, and SQL. Experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn). Strong analytical skills with a knack for problem-solving and critical thinking. Excellent communication skills, with the ability to explain complex concepts ...

high-impact work. What we need from a Lead Machine Learning Engineer: Strong Python skills and experience operationalising models with frameworks like Scikit-learn, TensorFlow, or PyTorch. Cloud and full-stack experience (AWS, Azure, or GCP) with containerisation (Docker) and orchestration (Kubernetes). Recognised technical expert with deep ...

measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working closely ...

measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working closely ...

best practices for distributed systems MSc or higher degree in Computer Science, Software Engineering or a related field Familiarity with ML frameworks (e.g. scikit-learn, PyTorch) or AI system integration Experience contributing to open-source projects or technical publications Working at Malted We’re based in Edinburgh ...

Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn Data Science experience including working with large data sets Responsibilities Join a team responsible for investigating the latest research in machine learning algorithms – largely within ...

sources. * Hands-on experience with data engineering development, automation and integration strategy/implementation. * Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and programming languages (Python, R). * Ability to translate business problems into data-driven solutions and communicate insights effectively. For the full role ...

testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR ...

someone who’s hands-on, curious, and ready to make a difference. You’ll need strong experience in Python especially with the scikit learn ecosystem and MLFlow and be confident working with SQL to manipulate and cleanse large datasets. You’ll have a solid understanding of both supervised ...

someone who’s hands-on, curious, and ready to make a difference. You’ll need strong experience in Python especially with the scikit learn ecosystem and MLFlow and be confident working with SQL to manipulate and cleanse large datasets. You’ll have a solid understanding of both supervised ...

recommendation models) Proven experience in signal engineering, feature creation, and interpretation for consumer analytics use cases Proficiency in Python and ML libraries (e.g., scikit-learn, PyTorch, TensorFlow) Experience working with large-scale consumer data and personalization or NBO platforms Nice to Have Experience in retail, CPG, telecom consumer ...

scientific computing Experience developing, training, and optimising machine learning models Familiarity with common ML tools and frameworks such as PyTorch, pandas, and scikit-learn Experience working with large datasets and high-performance computing (HPC) environments Strong analytical and problem-solving skills in complex technical environments Ability to communicate ...

exceptional candidate) Requirements for RF Data Scientist/Research Engineer: Strong Python skills for data analysis and prototyping (e.g. NumPy, SciPy, matplotlib, PyTorch, scikit-learn) Excellent understanding of digital signal processing techniques including FFTs, resampling, modulation, and filtering Hands-on experience working with SDR platforms such as bladeRF ...

lifecycle of machine learning models, including development, training, deployment, monitoring, and continuous improvement. Productionise ML models built with PyTorch, TensorFlow, or Scikit-learn, ensuring reliability, scalability, and security. Implement model versioning and experiment tracking using MLflow, along with controlled releases, rollback strategies, and continuous improvement workflows. Design, build … provisioning, environment management, and deployment using Terraform, ARM templates, or Ansible. Essential Technical Skills: Programming: Python, SQL, PySpark, Bash ML Frameworks: TensorFlow, PyTorch, Scikit-learn MLOps & Model Management: MLflow, Model versioning, CI/CD Cloud & Big Data: Databricks, Databricks APIs, MCP, Blob Storage Data Engineering: ETL/ ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...