1 to 25 of 411 Algorithms Jobs in the UK excluding London

Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data More ❯

Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data More ❯

Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data More ❯

Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine learning algorithms and statistical modelling 📈 Strong problem-solving and analytical mindset 🗣 Excellent communication skills and a genuine passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or cloud platforms ( AWS More ❯

Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine learning algorithms and statistical modelling 📈 Strong problem-solving and analytical mindset 🗣 Excellent communication skills and a genuine passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or cloud platforms ( AWS More ❯

Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine learning algorithms and statistical modelling 📈 Strong problem-solving and analytical mindset 🗣 Excellent communication skills and a genuine passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or cloud platforms ( AWS More ❯

solve complex challenges, and deliver impactful solutions that build tomorrows worldtoday. Job Description Join our team to help deliver fast-paced, high-impact Defence software solutions that translate complex algorithms into operational capabilities. Youll work closely with algorithm engineers to integrate mathematical and software models into production-ready, reliable, and maintainable systems. This is a unique opportunity to apply your More ❯

Data Science or Machine Learning role, ideally on consumer-facing products like search, ranking, recommendations, personalization, or discovery. Strong hands-on ability with ML modeling, including semantic search, ranking algorithms, clustering, recommendation systems, and natural language processing (NLP), with a track record of deploying models to production. Strong skills in data analysis, statistical modeling, and computational problem-solving; ideally with More ❯

ML instrumentation to extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and communicate results More ❯

ML instrumentation to extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and communicate results More ❯

ML instrumentation to extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and communicate results More ❯

deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance over time. Collaborate Across Teams More ❯

deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance over time. Collaborate Across Teams More ❯

deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance over time. Collaborate Across Teams More ❯

deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance over time. Collaborate Across Teams More ❯

Science, AI or equivalent (or imminent graduation) Solid programming skills (e.g. Python, R, Java, C++ or other modern language) Familiarity (or strong interest) in machine learning, data analytics, modelling, algorithms, or statistical methods Demonstrable experience via projects, coursework or side projects in data science, ML, optimisation or algorithmic work Strong problem-solving mindset, ability to translate complex domain challenges into More ❯

developing and improving analytical workflows. Working closely with the Mirico team, you will help drive the next stage of our gas-modelling and ML capability , validate and enhance existing algorithms, and translate advanced analytics into actionable insights for customers via the Mirico Insights cloud platform. Job Description and Responsibilities Analyse and interpret greenhouse gas emissions data from Mirico field deployments More ❯

developing and improving analytical workflows. Working closely with the Mirico team, you will help drive the next stage of our gas-modelling and ML capability , validate and enhance existing algorithms, and translate advanced analytics into actionable insights for customers via the Mirico Insights cloud platform. Job Description and Responsibilities Analyse and interpret greenhouse gas emissions data from Mirico field deployments More ❯

Intelligence, Software Engineering , or a related field Proficiency in Python, R , or other programming languages commonly used in data analysis and automation Solid understanding of machine learning concepts and algorithms Strong data literacy including data quality, collection methods, and governance principles A process-oriented mindset able to understand and map business processes before automating them Excellent analytical and problem-solving More ❯

knowledge of modern software engineering best practices across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence What's in it for you: As a Graduate Software Engineer/Developer More ❯

evaluation of AI/ML models for fraud detection Analyse complex datasets to identify patterns, anomalies, and insights Collaborate with developers and data scientists to validate results and refine algorithms Assist in developing blockchain use cases and understanding smart contract workflows Build dashboards, reports, or data visualisations to communicate findings to stakeholders Contribute to research into emerging technologies and their More ❯

in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 1 year of experience with data structures or algorithms. 1 year of experience with machine learning algorithms and tools, building production quality Machine Learning (ML) systems and infrastructure. Experience with machine learning, C++ and Python. Preferred qualifications: Master's degree in Computer Science or a related technical More ❯

based models and AI solutions that directly deliver measurable value for their organizations. What You'll Do Strong grasp of statistics and probability fundamentals Solid understanding of machine learning algorithms for supervised and unsupervised learning Understanding of Transformer based models Experience developing AI agents Strong Python and SQL skills Experience with Cloud ML tools and version control (e.g. git) Experience More ❯

Familiarity with API gateways, microservice architecture, and asynchronous messaging patterns (e.g., queues, event buses). Programming Proficiency: Strong experience with C# and .NET frameworks. Solid understanding of data structures, algorithms, and programming principles. Experience working with other relevant languages such as Python, JavaScript, or TypeScript. System Design: Ability to design and implement scalable software systems. Familiarity with distributed system patterns More ❯

Familiarity with API gateways, microservice architecture, and asynchronous messaging patterns (e.g., queues, event buses). Programming Proficiency: Strong experience with C# and .NET frameworks. Solid understanding of data structures, algorithms, and programming principles. Experience working with other relevant languages such as Python, JavaScript, or TypeScript. System Design: Ability to design and implement scalable software systems. Familiarity with distributed system patterns More ❯