351 to 375 of 1,239 Machine Learning Jobs in the UK

practices, including CI/CD and automation, is advantageous. Knowledge of R and Julia is a good-to-have. Knowledge of setting up modern machine learning frameworks (e.g., PyTorch, Google Colab) is considered an asset. Good communication skills, ability to work cross‐functionally. MSc in Finance or Sciences. ...

vendors. 15+ years in investment management workflows. Knowledge of advanced RAG and multi-agent systems. Relevant certifications (Databricks GenAI, SnowPro GenAI, AWS ML). CFA charterholder or active candidate. ...

communicate model selection, deployment strategies and the rationale behind technical decisions, fostering transparency and trust. Mentor and develop team members, promoting innovation, continuous learning, and professional growth within the London Data Science team. Maintain rigorous quality assurance and governance protocols for all AI projects, ensuring compliance with ethical … translating technical insights into business value. Experience in AI governance, ethical frameworks, and regulatory compliance. Skills: Advanced proficiency in data science techniques, including machine learning, optimisation, simulation, deep learning, and generative AI. Comprehensive understanding of the mathematical foundations underpinning AI algorithms. Strong stakeholder engagement and relationship-building ...

GenAI technologies, including LLMs (Large Language Models), generative models, and related frameworks (e.g., LangChain, TensorFlow, etc.) Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying ...

cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques … regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson ...

functions. Candidate Profile Technical Expertise 8–15+ years’ experience delivering production machine‐learning or advanced analytics solutions. Strong background in statistical and ML modelling including: Regression and classification Time‐series forecasting Gradient boosting and clustering Anomaly detection and optimisation Solid engineering foundation: Python, distributed systems, APIs, and cloud … experience with at least one) Data Science & Optimisation Python ecosystem (Pandas, NumPy, SciPy, Statsmodels) Scikit‐learn, XGBoost, LightGBM, CatBoost Time‐series forecasting (Prophet, SARIMAX, ML‐based approaches) Optimisation frameworks (OR‐Tools, Pyomo) Agentic AI & LLMs (Nice to Have) LangChain or Semantic Kernel Vector databases (Pinecone, Weaviate, Milvus, Azure Vector ...

seeing your work drive outcomes. Expect high standards, strong mentorship, and the space to move quickly. What you’ll work on Build and improve ML/AI models that solve measurable business problems Take ownership of end-to-end workflows: data ingestion → feature engineering → modelling → evaluation → deployment Run experiments, quantify … technical bar Ownership early: you’ll ship real work within weeks, not months Growth runway: mentorship, code reviews, clear progression, and exposure to modern ML tooling What we’re looking for A recently completed Master’s degree (Russell Group preferred) in Data Science, Computer Science, Mathematics, Physics, Engineering, or similar ...

opportunities, and change management. What You Bring Expertise in cloud platforms (AWS, Azure, GCP) and multi-cloud integration. Deep understanding of large language models, machine learning frameworks, and AI architectures. Proficiency in programming languages (Python, Java, C#). Strong analytical and problem-solving skills for complex system design. ...

overall performance metrics Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards Build robust and real … Required - Great velocity for building and shipping agents/AI products. Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies Optional - Demonstrated ability to do independent research ...

teams and manage large-scale projects. Preferred Qualifications Experience in Agile/Scrum methodologies. Knowledge of containerization (Docker, Kubernetes). Exposure to AI/ML, data engineering, or cybersecurity is a plus. Education Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. ...

GitHub Actions - CI/CD Firebase - Feature flags Cloudflare - CDN and DNS AI & Machine Learning Python BAML - LLM prompt engineering DSL Vertex - ML Ops Why Join Us This is a ground-floor opportunity to shape the product and the codebase from day one. You won’t just ...

ensuring industry best practices to develop well-structured code that is testable, maintainable, performant, scalable and secure (no compromise) Partner with Product, Design and ML teams to translate conceptual AI features into scalable user-facing products Provide technical mentorship and guide team members in system design, architecture reviews … validate emerging AI techniques What You Bring 7–12 years of total experience in software development, with at least 3 years in AI/ML systems engineering or Generative AI Experience with cloud native deployments and services in AWS/GCP/Azure with the ability to architect distributed systems ...

expanding its Data & AI practice and looking for a Data Science Offering Lead to shape and build their end-to-end data science and ML capability. This role focuses on designing offerings, leading client engagements and delivering practical, production-ready ML and AI solutions that create measurable value. What … doing Leading the development of the firm’s Data Science, ML and AI offering and go-to-market strategy. Working closely with clients to understand business problems and translate them into robust data-driven solutions. Designing and overseeing ML models, AI prototypes, PoCs, MVPs and scalable production solutions. Driving standards ...

utilization across the enterprise. Support real-time and batch data processing using big data technologies and cloud platforms. Optimize data workflows to enable AI, machine learning, and advanced analytics applications. Provide technical support and troubleshooting for GridOS Data Fabric deployments. Stay up to date with advancements in grid ...

utilization across the enterprise. Support real-time and batch data processing using big data technologies and cloud platforms. Optimize data workflows to enable AI, machine learning, and advanced analytics applications. Provide technical support and troubleshooting for GridOS Data Fabric deployments. Stay up to date with advancements in grid ...

utilization across the enterprise. Support real-time and batch data processing using big data technologies and cloud platforms. Optimize data workflows to enable AI, machine learning, and advanced analytics applications. Provide technical support and troubleshooting for GridOS Data Fabric deployments. Stay up to date with advancements in grid ...

utilization across the enterprise. Support real-time and batch data processing using big data technologies and cloud platforms. Optimize data workflows to enable AI, machine learning, and advanced analytics applications. Provide technical support and troubleshooting for GridOS Data Fabric deployments. Stay up to date with advancements in grid ...

utilization across the enterprise. Support real-time and batch data processing using big data technologies and cloud platforms. Optimize data workflows to enable AI, machine learning, and advanced analytics applications. Provide technical support and troubleshooting for GridOS Data Fabric deployments. Stay up to date with advancements in grid ...

consistent data models and standards Support underwriting analytics and reporting teams to ensure data accuracy and usability Work alongside data science teams to productionise machine learning pipelines Contribute to DevOps and CI/CD practices within an agile delivery model Act as a trusted technical partner, advising ...

internet actually works Experience with Splunk & SPL SQL or similar data manipulation skills Exposure to network security products HTML, CSS, JavaScript Data Science or Machine Learning experience Location & Flexibility Edinburgh-based engineers : hybrid working (typically 2 days in office) Fully remote options available for the right candidate Cutting ...

internet actually works Experience with Splunk & SPL SQL or similar data manipulation skills Exposure to network security products HTML, CSS, JavaScript Data Science or Machine Learning experience Location & Flexibility Edinburgh-based engineers : hybrid working (typically 2 days in office) Fully remote options available for the right candidate Cutting ...

looking for experience in the following skills: Deep technical expertise in SAP Business Technology Platform (BTP), with a strong focus on AI, Machine Learning, and Generative AI integration. Hands-on experience with SAP AI Core, Generative AI Hub, and SAP HANA Cloud Vector Engine (for Retrieval-Augmented Generation ...

STEM, Computer Science, Mathematics, Statistics , or a related quantitative field. Scientific Python Ecosystem: Proficiency in Python for data science (pandas, numpy, scipy) and machine learning (sklearn, XGBoost, CatBoost, PyTorch). Data Engineering: Strong experience in SQL and data engineering principles (ETL/ELT), with the ability to handle ...

both prototypes and production applications. Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face. Bachelor's degree in Computer Science, Computer Engineering, Data Science, and/or comparable ...

data governance frameworks Experience complying with data security requirements. Experience designing data models. Excellent problem-solving, communication, and documentation skills. Familiarity with AI/ML data pipelines and analytics platforms. Preferred Qualifications Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud). Experience with big data technologies (e.g., Hadoop ...