126 to 150 of 8,783 Algorithms Jobs in the UK

DataBricks) and/or Dataiku. Experience with Data Science and AI tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of machine learning algorithms, statistical modelling, and AI-driven analytics. Data analysis, management, and visualisation expertise. Proactively manages conflicts within their workstack, clearly communicating any delays and managing expectations More ❯

solid software engineering foundations and experience (10+ years). Prior experience developing production quality Python is essential. Proficiency in machine learning and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines. Strong adherence to software and ML development fundamentals (e.g. code More ❯

Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like Docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS More ❯

networking, distributed systems, databases, and storage architectures. Strong Understanding of System Fundamentals: Deep understanding of how code runs on underlying hardware, including operating systems, algorithms, and data structures. Ability to optimize or troubleshoot code by understanding its execution and the impact on system resources. Incident Management: Experience handling production incidents More ❯

commitment to fostering an inclusive and innovative culture. Foundational knowledge of programming languages (e.g., React, Python, JavaScript, Java, C++, C#), databases, data structures and algorithms Understanding of software skills including business analysis, development, maintenance, and software improvement. Proficiency in developmental toolsets Basic knowledge of industry-wide technology trends and best More ❯

that shape strategic decisions and operational excellence. Key Responsibilities Advanced Data Analytics and Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regression analysis, time series forecasting, and clustering to More ❯

Optimizing processes and methodologies on a continuous improvement basis Coaching and mentoring fellow team members Innovating with data to develop new analytic techniques and algorithms Ideal Experience Required Degree in Mathematics, Science, Computer Science or similar Minimum 5 years of work experience in data analytics Demonstrable experience of successfully delivering More ❯

AI/ML platform products or setting up and scaling MLOps platforms in global organizations. Technical Expertise: Strong understanding of AI/ML technologies, algorithms, and frameworks (e.g., TensorFlow, PyTorch, ONNX), as well as experience with AI/ML workload optimization and deployment.Deep expertise in data architecture and engineering principles More ❯

languages such as Python or R Experience working with AI platforms Experience with data modelling and data architecture design An understanding of machine learning algorithms for regression, classification, clustering, and time series forecasting WHO WE ARE: We’re MiQ, a programmatic media partner for marketers and agencies. We connect data More ❯

Optimizing processes and methodologies on a continuous improvement basis Coaching and mentoring fellow team members Innovating with data to develop new analytic techniques and algorithms About you Required Degree in Mathematics, Science, Computer Science or similar Minimum 5 years of work experience in data analytics Demonstrable experience of successfully delivering More ❯

5+ years professional experience in Semiconductor Fabrication or Electronics/Optical manufacturing/operations engineering Data-oriented personality - passion for using numbers, data and algorithms to analyse situations and explain the world around us. Demonstrated ability to problem solve in unfamiliar situations in face of imperfect or ambiguous information. Great More ❯

AI, APIs, RPA and other emerging technologies A deep understanding of the principles and best practice in Machine Learning for both supervised and unsupervised algorithms Deep understanding of principles and best practice in machine learning, with a focus on NLP especially in sequence labelling tasks based on LLMs Experience of More ❯

upsell conversions, and client retention. Contribute to machine learning models for guest segmentation, attendance prediction, and personalised recommendations. Validate AI outputs and help improve algorithms using real-world feedback. Research trends in hospitality AI (e.g., dynamic pricing, sentiment analysis) and test innovative approaches. Data Infrastructure & Governance Ensure accuracy and consistency More ❯

with GraphDB, MongoDB, SQL/NoSQL, and other DBMS technologies. Understanding of system automation, protection, and diagnostics in relevant sectors. Experience with deep learning algorithms, reinforcement learning, NLP, and computer vision in applicable domains. Excellent communication, organizational, and problem-solving skills, with a strong emphasis on teamwork, collaboration, and fostering More ❯

Build, test and validate predictive models to support business needs. Implement and maintain machine learning models in production environment. Monitor model performance and refine algorithms to ensure accuracy and relevance. Partner with Data Governance to implement data governance framework to improve data quality, better decision-making and increased operational efficiency. More ❯

bets. Our software provides customers with a new level of flexibility over the way they manage their Sportsbooks to meet their financial objectives. Smart algorithms allow decisions about bets to be taken quickly at scale while enabling close control when desired, reminiscent of earlier days of sports betting. HOW WILL More ❯

upon to create models that are robust and do not suffer from issues such as data leakage etc. Have knowledge of advanced machine learning algorithms such as random forests, gradient boosting, and support vector machines Experience in feature engineering and selection techniques Understanding of model evaluation metrics and cross-validation More ❯

support the development of business cases. Run discovery analytics to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future More ❯

AI and ML solutions into existing products and systems, including working with LLMs and agentic workflows. Proficiency in Python and strong knowledge of ML algorithms-ranging from classical techniques to deep learning methods. Proven experience in training, fine-tuning, and deploying neural network models using frameworks like PyTorch, with a More ❯

experience in developing and integrating advanced generative AI and ML solutions into existing products and systems. Proficiency in Python and strong knowledge of ML algorithms, ranging from classical techniques to deep learning methods. Experience in training, fine-tuning, and deploying neural network models using frameworks like PyTorch. Expertise in containerization More ❯

experience building and launching AI-powered products and automations specifically within a performance media context. This includes hands-on experience with campaign optimization, bidding algorithms, audience segmentation, and reporting solutions• Deep understanding of AI/ML concepts and techniques, with practical experience in applying them to real-world marketing challenges More ❯

responsible for designing, developing, and deploying machine learning models to solve complex problems and improve our products. Key Responsibilities: Develop and implement machine learning algorithms and models. Analyze large datasets to extract meaningful insights. Collaborate with cross-functional teams to integrate machine learning solutions. Optimize and maintain existing machine learning More ❯

of professional experience as in C++ Development Modern C++ programming experience in C+/20 or above Knowledge of design patterns, data structures and algorithms Ability to write efficient, high performing code. Strong analytical and problem-solving skills Solid communication skills Able to work as part of a team in More ❯

years of professional experience in C++ Development Modern C++ programming experience in C++17/20 or above Knowledge of design patterns, data structures, and algorithms Ability to write efficient, high performing code Strong analytical and problem-solving skills Solid communication skills Able to work as part of a team in More ❯

5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive More ❯