126 to 150 of 1,181 Machine Learning Jobs in the UK

Responsibilities/Principal Accountabilities: Develop and integrate software solutions using Python, focusing on advanced GIS functionalities and AI applications such as computer vision and machine learning. Leverage ESRI APIs to employ advanced spatial data manipulation and visualisation techniques, supporting LabX’s strategic objectives. Implement and customise GeoAI techniques, using … models (and others) and frameworks like TensorFlow and PyTorch, to analyse geospatial data from imagery, video, point clouds, and text. Design, implement, and optimise machine learning models for urban planning applications, applying libraries such as Shapely, Rasterio, and others for intricate geospatial analysis. Engage in the strategic growth more »

for collaboration (London), a strong benefits package including a personal L&D budget with access to external library content, conferences and a career/learning path, plus a salary between £60,000 - £90,000. My client is entering their 5th year of business with an industry leading production software. … build new product features and expand their capabilities for their clients which includes global businesses such as Tesco, Virgin Media, Liberty Global & more. Using Machine Learning and Automation, the AI tool integrates with clients accounts and ERP systems to track, monitor and flag anything from fraud detection, over more »

team. This role involves developing a cutting-edge desktop application and its associated Python backend. The app enables users to deploy, use, and build ML models collaboratively and perform data analytics in a privacy-preserving manner. The application runs on the user’s hardware, posing unique challenges in maintaining flexibility … Role Python : Proficiency in Python and Python unit testing + 5 years MLOps : Experience with machine learning operations, including training and deploying ML models. Automated Testing Frameworks : Knowledge of frameworks that contribute to continuous integration pipelines. Container Technologies : Experience with tools such as Docker. Desktop Application Development : Familiarity … with developing and deploying desktop applications. DevOps Practices : Understanding modern DevOps practices, version control systems (e.g., Git), and CI/CD pipelines. ML Frameworks : Experience with PyTorch, TensorFlow, or NumPy. More about you: An experienced engineer with a track record in modern software engineering and DevOps practices. Passionate about performance more »

Strong proficiency using Python and attached libraries. Experience in data manipulation and analysis using relevant libraries and frameworks. Solid understanding of statistical concepts and machine learning techniques. Proficiency in data visualization tools and techniques to effectively communicate insights. Experience with database querying languages (e.g., SQL) and working with more »

generation data experience for scientists, engineers, and decision-makers - increasing productivity, and reducing time spent on "data mechanics" Provide best-in-class AI/ML and data analysis environments to accelerate predictive capabilities and attract top-tier talent Aggressively engineer data at scale to unlock the value of our combined more »

ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best practices - test driven development, CI/CD, etc. Desirable: experience and interest in machine learning, data engineering, and data visualization Cultural Fit: Represent the firm in a professional manner and uphold its values and culture in all more »

our unique data to answer business problems. Collect, clean, and pre-process large datasets from multiple sources to ensure data integrity and reliability. Develop machine learning models and algorithms to optimize user engagement, customer segmentation, cohort analysis and pricing strategies. Conduct exploratory data analysis to uncover patterns, trends more »

Digital is one of the fastest-growing Cloud Consultancies in the UK and with deep expertise in areas such as big data, data science, machine learning, and cloud computing. With a focus on creating sustainable, efficient, and intelligent solutions, we empower our clients to harness the full potential more »

any modern organisation and Aviva is no different. Our Data Engineering team sits within Aviva Quantum our global Data Science Practise (covering areas including Machine Learning, Analytics, Data Engineering, AI and many more). You will form a vital part of our business, contribute to our first-class more »

a fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. About you: Our team is our more »

ensure the scalability of their software. The platform itself is cloud agnostic (AWS, GCP, and Azure), leverage the most modern advancements in AI and Machine Learning, and use open-source software for an unmatched performance. Requirements Bachelor’s degree in Computer Science, Engineering, or a related field (or … Flexible working hours and remote work options. Genuine ownership of your own technical projects Opportunity to work with a talented and passionate team. Continuous learning and professional development opportunities. Inclusive company culture. more »

Expert Software Engineer with around 5-10 years’ experience designing and building complex, large-scale distributed systems, sought by a Global Leader in Electronic Markets. Our client is a mega-successful Electronic Trading business business which holds leadership positions in more »

The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyse raw data: assessing quality, cleansing, and structuring … Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C++, Java, SQL) Familiarity with Big Data frameworks and visualization more »

of structured and unstructured data, including the integration of data through AWS and Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered an advantage. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in the design and more »

Azure Data Factory. Implement and optimize data solutions using Kubernetes for container orchestration. Collaborate with data scientists and analysts to integrate advanced analytics and machine learning models into data workflows. Ensure data security, compliance, and quality standards are met. Provide support and expertise in data-related projects and more »

cloud services (preferably GCP ) and understanding of its ETL frameworks. Desired : experience with data pipeline and workflow management (Airflow, Composer). Desired : Familiarity with machine learning algorithms and data science principles is a plus. Qualifications Degree in Computer Science, Engineering, or related field. Excellent communication skills, adept at more »

re interested in this position, apply now! Keywords: Claims, Insurance, Financial Services, Analytics, Business Intelligence, BI, Stats, Qlik, Power BI, SQL, Data, Data Science, Machine Learning, London Markets, Lloyd’s of London, General Insurance more »

Experience with other data analytics tools and platforms (e.g., Tableau, Qlik). Knowledge of Python or R for data analysis and scripting. Familiarity with machine learning concepts and tools. How to Apply: If you are a skilled Power BI and Analytics Specialist looking to make a significant impact more »

passion for quality and continuous improvement. Preferred Qualifications: Master's degree or PhD in a quantitative discipline (e.g., statistics, applied mathematics, econometrics).Experience with machine learning frameworks and techniques for model validation and testing. Knowledge of software development methodologies such as Agile, Scrum, or DevOps. Certification in quality more »

Data Architect/Cloud Data Architect (GCP) Google Cloud/GCP, Machine Learning/Generative AI Remote-based or Hybrid should you prefer (London) £100k-£140k basic salary + bonus Benefits: 25 days holiday + bank holidays Private Healthcare Discounted Gym Membership (Nuffield + Hussle) Life Insurance, Income more »

and accessible and in making data-driven decisions. Co-own customer data and insights in collaboration with the Marketing teams. Apply advanced statistical and machine learning techniques, including clustering, regression analysis, and predictive modelling, to extract deeper insights from customer data. Build predictive models to forecast customer behaviour more »

build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in Generative AI, electronic payments, cybersecurity, machine learning, and cloud development. Our $15B+ annual investment in technology enables us to hire people to create innovative solutions that will not only more »

APIs, integrating external systems, and other tasks related to server-side development. Qualifications Quantitative finance experience in any asset class. Understanding of AI and ML techniques. Strong knowledge of Back-End Development, Software Development, and OOP principles Understanding of Front-End Development processes Proficiency in a programming language such as more »

Expert ability to troubleshoot issues and make system changes as needed to resolve issue. • Expert knowledge of computer hardware and software. • Experience in deploying ML models. • (optional) Experience in game development and 3D modeling. • (optional) Experience in developing/using physics simulators. Education: • Bachelor's degree in computer science, software more »

our founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsMax™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable customers to efficiently manage data, leverage data science to more »