901 to 925 of 4,294 Machine Learning Jobs in the UK

lead a team of solution architects, and drive best practices in data governance, security, and advanced analytics. You will work closely with business leaders, data engineers, and AI/ML teams to build a modern, future-proof data ecosystem that supports data-driven innovation. The ideal candidate must have: Experience in data architecture, solution architecture, or cloud data engineering, with … mentoring teams in data platform architecture and solution design. Extensive experience with data integration, MDM, data governance, and data quality tools. Experience designing and integrating Machine Learning (ML) architectures on Azure, including: MLOps and model lifecycle management in Azure ML and Databricks. Model deployment, serving, and monitoring within a Lakehouse or Data Mesh framework. Proficiency in Apache Spark More ❯

Job ID: Amazon Development Centre (Scotland) Limited We're looking for a Machine Learning Scientist in the Personalization team for our Edinburgh office experienced in generative AI and large models. You will be responsible for developing and disseminating customer-facing personalized recommendation models. This is a hands-on role with global impact working with a team of world … class engineers and scientists across the Edinburgh offices and wider organization. You will lead the design of machine learning models that scale to very large quantities of data, and serve high-scale low-latency recommendations to all customers worldwide. You will embody scientific rigor, designing and executing experiments to demonstrate the technical efficacy and business value of your … which is both statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment. BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the More ❯

of our Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Operations Research, Machine Learning, Statistics and Econometrics models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with other Supply Chain Optimization Technology … and clearly communicate results and recommendations to leadership - Act as an active member of the science community by researching, applying and publishing internally/externally the latest OR/ML techniques from both academia and industry BASIC QUALIFICATIONS - PhD, or a Master's degree and 5+ experience applying theoretical models in an applied environment - Experience in solving business problems through … years experience in developing OR algorithm for non-convex and non-linear optimization problems - 2+ years experience with Stochastic Optimization algorithms (e.g. Stochastic Linear Programming, Stochastic Dynamic Programming) and ML for Probabilistic Forecasting - Sharp analytical abilities, excellent written and verbal communication skills - Ability to handle ambiguity and fast-paced environment PREFERRED QUALIFICATIONS - Experience in professional software development - Reinforcement Learning More ❯

build, and deliver end-to-end robotic systems. Our team is also responsible for core infrastructure and tools that serve as the backbone of our robotic applications, enabling roboticists, machine learning scientists, software engineers, and hardware engineers to collaborate and deploy systems in the field. Key job responsibilities We have several open positions for candidates with varying levels … but not limited to tracking, object recognition, visual SLAM, motion prediction, reconstruction) - Machine learning (e.g. reinforcement learning, supervised learning, Bayesian methods, online learning systems, ML for robotics) - Control (e.g. impedance and direct force control, dynamics, trajectory control, motion planning, simulation) BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research … or academic research experience in developing algorithms for robotic computer vision and/or motion planning/control. - Experience in one or more relevant technical areas: robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, distributed systems, or simulation. - Experience in publishing at major robotics and related conferences (e.g. RSS, NIPS, ICRA, CVPR, CORL, ICCV) or More ❯

build, and deliver end-to-end robotic systems. Our team is also responsible for core infrastructure and tools that serve as the backbone of our robotic applications, enabling roboticists, machine learning scientists, software engineers, and hardware engineers to collaborate and deploy systems in the field. Key job responsibilities We have several open positions for candidates with varying levels … but not limited to tracking, object recognition, visual SLAM, motion prediction, reconstruction) - Machine learning (e.g. reinforcement learning, supervised learning, Bayesian methods, online learning systems, ML for robotics) - Control (e.g. impedance and direct force control, dynamics, trajectory control, motion planning, simulation) BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research … or academic research experience in developing algorithms for robotic computer vision and/or motion planning/control. - Experience in one or more relevant technical areas: robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, distributed systems, or simulation. - Experience in publishing at major robotics and related conferences (e.g. RSS, NIPS, ICRA, CVPR, CORL, ICCV) or More ❯

will be joining an organisation where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great opportunity for someone … their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design, code reviews, and architecture decisions. … We’re Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and More ❯

will be joining an organisation where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great opportunity for someone … their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design, code reviews, and architecture decisions. … We’re Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and More ❯

solutions meet business and user needs. In addition to a focus on observability, you will contribute hands-on by developing features, automating workflows, and supporting the deployment of advanced machine-learning models. Strong communication skills are vital for working effectively with engineers, product teams, and stakeholders across the organization. About AudioStack AudioStack is the world's most powerful … automating these processes. You'll also take a key role in developing our product and customer analytics at AudioStack. You will be working as part of our AI/ML team, working closely with our machine learning engineers, software engineers, and product owners to ensure we are best in the industry. What you'll be doing: Responding to … platform Investigating performance issues and runtime errors Writing and shipping features for our customers - we expect everyone to be engineers as well! Accelerating our CI/CD process Deploying Machine Learning models onto GPU-based systems on AWS Supporting engineers on high-value deployments and teaching best practices about CI/CD to these engineers Identifying and resolving More ❯

delivering 10x improvements by supporting them in their day-to-day tasks. Responsibilities: Contributing by processing, analyzing, and synthesizing information applied to a live client problem at scale. Developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision. The role requires skills in both prototyping and developing … Learning, Deep Learning, NLP and Computer Vision. Experience with Large Scale/Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb. Hands-on capability developing ML models using open-source frameworks in Python and R and applying them on real client use cases. Proficient in one of the deep learning stacks such as PyTorch or More ❯

party publishers; and extends across US, EU and an increasing number of international geographies. We are looking for a dynamic, innovative, and accomplished Senior Applied Scientist to work on machine learning initiatives that power our brand safety solutions. The role requires developing and fine-tuning Large Language Models at scale, designing content filtering systems, implementing alignment techniques, and … and classification, traffic quality prediction (robot and fraud detection), Security forensics and research, Viewability prediction, Brand Safety and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems. BASIC QUALIFICATIONS - Experience programming in Java, C++, Python or related language … Experience with neural deep learning methods and machine learning - Experience in building machine learning models for business application - Experience in applied research - PhD in ML and 5+ year of industry experience PREFERRED QUALIFICATIONS - Demonstrated expertise in scaling Large Language Models (LLMs) for production environments, including optimization techniques for inference and training Amazon is an equal More ❯

fine-grained access control (FGAC) on sensitive data. We create logging solutions that generate access events from thousands of services for evidence collection. Additionally, we implement rule-based and machine learning systems to monitor access to customer data, detect anomalous activities, and demonstrate compliance. We are seeking a talented, self-directed Applied Scientist to work on the cutting … Master's Degree plus 4+ years of experience in Computer Science, Machine Learning, Operational Research, Statistics, or a other quantitative field; - 3+ years of practical experience applying ML to solve complex problems; - Algorithm and model development experience for large-scale applications; - Experience using Java, C++, or other programming language, as well as with R or Python; - Experience distilling … informal customer requirements into problem definitions, dealing with ambiguity and competing objectives. PREFERRED QUALIFICATIONS - Practical experience applying ML to solve complex problems; - Significant peer reviewed scientific contributions in premier journals and conferences; - Strong fundamentals in problem solving, algorithm design and complexity analysis; - Experience with defining research and development practices in an applied environment; - Proven track record in technically leading and More ❯

division within the client, operating similarly to a B2C fintech venture. Its mission is to democratize quantitative finance by offering global remote-work opportunities and educational resources in AI, ML, and quant finance. The AI platform enables external contributors to submit signals, data, and other resources through an advanced crowdsourcing model. Position: AI Researcher - AI Platform The client is looking … implement and test new features and datasets. Stay current with the latest AI and LLM advancements and explore their applications in quantitative finance. Qualifications: Technical Skills: Proficiency in AI, ML, and LLMs; strong programming skills in Python and C++; experience with PyTorch or TensorFlow. Quantitative Background: Solid foundation in mathematics, statistics, and quantitative modeling; experience with financial data is a … interest in financial markets. Team Collaboration: Excellent communication and presentation skills; ability to thrive in a collaborative, team-oriented environment. Desired Skills and Experience Technical Skills: Proficiency in AI, ML, and LLMs; strong programming skills in Python and C++; experience with PyTorch or TensorFlow. Quantitative Background: Solid foundation in mathematics, statistics, and quantitative modeling; experience with financial data is a More ❯

About the role Join our Optimization team at Taktile as a Full-Stack Engineer. You will build isolated, scalable data warehouses for finance data on AWS. Develop operational, ML/AI and visualizations tools to help customers derive value from their data. Your contributions will directly enhance our automated decisioning platform, allowing users to improve financial decision policies at scale … What You'll Do Build customer facing data interfaces with React to manage and communicate decision policy performance Develop data-backed tools for improving policy performance, such as training ML models on historical data and backtesting at scale. Design and develop scalable RESTful APIs using Python on AWS, leveraging services such as Lambda, S3 and SQL. Optimize data warehouse efficiency … Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and More ❯

BigQuery and PostgreSQL) proficiency and Python programming skills Experience with Google Cloud Platform Experience with big data warehouse systems (Google BigQuery, Apache Hive, etc) Hands on experience working with machine learning teams; understanding of the core concepts of model evaluation techniques and metrics, and suitable choices of their usage Experience working with data visualisation tools, particularly … Grafana Strong communication skills for client-facing interactions Collaborative mindset for cross-functional work Nice to Have Experience with image based machine learning Experience with AI/ML deployment workflows Experience communicating with non-technical stakeholders (client and internal) Startup experience This position offers significant growth potential in a fast-paced environment where you'll work with cutting More ❯

BigQuery and PostgreSQL) proficiency and Python programming skills Experience with Google Cloud Platform Experience with big data warehouse systems (Google BigQuery, Apache Hive, etc) Hands on experience working with machine learning teams; understanding of the core concepts of model evaluation techniques and metrics, and suitable choices of their usage Experience working with data visualisation tools, particularly … Grafana Strong communication skills for client-facing interactions Collaborative mindset for cross-functional work Nice to Have Experience with image based machine learning Experience with AI/ML deployment workflows Experience communicating with non-technical stakeholders (client and internal) Startup experience This position offers significant growth potential in a fast-paced environment where you'll work with cutting More ❯

skills coverage across the below items. If you consider yourself an expert in 1 or more of these skills then we would love to work with you! AI/ML Solution Architecture: Designing and deploying machine learning models and AI solutions tailored to engineering and data team workflows. Agentic AI Design: Expertise in building autonomous AI agents capable … data pipelines, ETL automation, and leveraging AI for data quality and governance. AI Infrastructure & MLOps: Experience with cloud AI services, model deployment, monitoring, and CI/CD pipelines for ML models (MLOps best practices). Example Tools & Technologies: Frameworks & Libraries: LangChain, Hugging Face Transformers, PyTorch, TensorFlow, Scikit-learn Agentic AI Tools: OpenAI GPT models, Crew,AI, Cohere, Pinecone (for vector … databases), AutoGPT Data Engineering & ML Pipelines: Apache Airflow, MLflow, Kubeflow, dbt, Prefect Cloud & Deployment Platforms: AWS SageMaker, Azure ML, Google Vertex AI APIs & Orchestration: OpenAI API, Anthropic Claude, Weaviate, FastAPI (for AI applications) MLOps & Experimentation: Weights & Biases, DVC (Data Version Control), Docker, Kubernetes General 2+ years of professional experience in relevant fields. Experience mentoring, coaching, or teaching others in a More ❯

research and develop technology that improves the lives of shoppers and sellers around the world. Overview of the role The Business Research Analyst will be responsible for Data and Machine learning part of continuous improvement projects across the Discoverability space. This will require collaboration with local and global teams. The Research Analyst should be a self-starter who … data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/LLM solutions in terms of precision & recall, efficiency and scalability. The Research Analyst should be able to write clear and detailed functional specifications based on business requirements. Key job … and foster a customer-centric focus on the quality, productivity, and scalability of our services. • Find the scalable solution for business problem by executing pilots and build Deterministic and ML/LLM models. • Manages meetings, business and technical discussions regarding their part of the projects. • Makes recommendations and decisions that impact development schedules and the success for a product or More ❯

Eviden expands the possibilities of data and technology, now and for generations to come. The Opportunity: The Artificial Intelligence and Machine Learning team blend statistical techniques and ML to create value from data for our clients. You will collaborate with business stakeholders to identify use cases and shape opportunities for delivering data science solutions, ensuring a clear connection … to business benefits. You'll extract, analyse and interpret large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning and statistical tools, in order to make it accessible to our clients. You will then present your results using clear and engaging language in a way that bridges the fundamentally theoretical aspects … Azure DevOps or similar. Passionate about the transformative impact the right information can have on a business. Strong grasp of statistical methods, experimental design and the underlying principles of machine learning algorithms. Ability to transform, analyse and model data from a variety of data sources, extracting and interpreting trends and insights. Able to evaluate the models and experience More ❯

relevance and related experiences for customers. BASIC QUALIFICATIONS - PhD, or Master's degree and 5+ years of applied science experience - Skilled in Python or alternative programming language. - Experience in ML model productionization. - Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes - Superior verbal and written communication skills, ability to convey rigorous … mathematical concepts and considerations to non-experts. PREFERRED QUALIFICATIONS - A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent) and 5+ years of experience working in data science in a consumer product company - Practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, computer More ❯

and consultancy are looking for an AI Engineer/Consultant to join their expanding AI specialist team. The chosen candidate will have experience in AI (specifically Gen AI) and ML, coupled with Azure exposure. Salary & Benefits Competitive salary of up to £60k Performance-related bonus of 10% Fully remote working Flexible working hours 25 days annual leave Monthly home working … with clients to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Demonstrate understanding of navigating AI best practices within an Azure Data Engineering environment. Conduct data analysis and preprocessing to prepare datasets … make necessary adjustments. Provide training and support to clients on AI tools and best practices. What do I need to apply for the role Proven experience in AI and machine learning, with a proven track record of successful projects. Proficiency in programming languages - Python essential. Experience with AI frameworks and libraries. Excellent communication and interpersonal skills. Experience with More ❯

ability to bridge the gap between business needs and AI solutions. Responsibilities: Design, develop, and implement AI solutions using Microsoft AI technologies such as Azure OpenAI, LLMs & SLMs, Azure Machine Learning, Cognitive Services, and Azure AI Document Intelligence, with additional experience in Fabric, PowerBI, DataBricks, and LangChain. Work closely with clients to understand their architecture and integration needs … candidate: 5+ years of experience in AI, Machine Learning, GenAI, or Data Science, with expertise in Microsoft AI technologies. Hands-on experience with Azure OpenAI, LLMs, Azure ML, Cognitive Services, Synapse, Fabric, and Power Platform AI capabilities. Strong programming skills in Python, C#, or other relevant languages for AI model development. Experience deploying AI solutions in enterprise environments More ❯

evolution of our Observability Platform , ensuring it meets the needs of our rapidly scaling systems and engineering teams. This role will also focus on leveraging Machine Learning (ML) and Artificial Intelligence (AI) to deliver advanced insights that proactively improve system health and drive down Mean Time to Detection (MTTD) and Mean Time to Resolution (MTTR) . The ideal … some of the key ingredients to the role: Platform Leadership Architect, design, and implement a cutting-edge Observability Platform to support metrics, logs, traces, and events at scale. Integrate ML/AI-driven solutions to enhance anomaly detection, root cause analysis, and predictive insights. Lead the development and adoption of platform capabilities to ensure system health, reliability, and performance. Establish … developer productivity. Drive a platform-first mindset, ensuring observability is treated as a foundational capability across all services. Implement real-time insights and proactive monitoring powered by AI/ML to reduce detection and resolution times. Operational Excellence Ensure the Observability Platform is highly available, performant, and secure across all environments. Optimize data collection, processing, and storage to balance performance More ❯

An opportunity for an ML Ops Engineer to support a leading Insurancer broker as they embark on the next phase of their Data and AI journey. The successful candidate will have demonstrable experience building and maintaining a robust machine learning infrastructure, supporting the successful deployment and integration of additional AI solutions. Responsibilities: Identify and implement the best approach … features and make performance improvements. Work with infrastructure as code technology to deploy, manage and run world class MLOps and data solutions Maintain strong understanding of Databricks and Azure ML Proactively suggest and implement changes to ways of working within and beyond the team to improve platform stability and long term efficiency. Ensure smooth day to day running of ML … Ops, driving optimisation. Share knowledge with the wider data community. Skills/Attributes/Experience Profile: Proven experience deploying and managing ML models in production, in Azure Databricks. Tech stack: Databricks, Unity Catalog, Python, Git, MLFlow, Delta tables, Azure DevOps. Hands-on development experience using Python, particularly with TensorFlow, PyTorch, scikit-learn, boto3, and the Python Data Science stack (pandas More ❯

millions of data points per second from LSE, Bloomberg, and alternative data sources Autonomous AI Agents: Build intelligent agents for trading, compliance, research, and risk management Predictive Analytics: Develop ML models for earnings prediction, M&A identification, and market regime detection Technical Infrastructure Cloud-Native Architecture: Multi-region deployment (London/Dublin/Frankfurt) with auto-scaling Real-time Data … Integrations: Bloomberg Terminal, Refinitiv, prime brokerage APIs, and regulatory systems Advanced Security: Zero-trust architecture, FCA compliance, and financial-grade security protocols 🔧 Technical Stack You'll Lead AI/ML: TensorFlow, PyTorch, MLflow, NVIDIA Triton, custom financial LLMs Data: Kafka, Flink, Snowflake, ClickHouse, Neo4j, vector databases Backend: FastAPI, GraphQL, microservices, Docker, Kubernetes Frontend: React/Next.js, TypeScript, real-time dashboards … discriminate on age and experience Proven track record building and scaling B2B SaaS platforms to $50M+ ARR Financial services experience - trading systems, risk management, or regulatory compliance AI/ML expertise - LLMs, real-time ML systems, or quantitative finance applications Technical Expertise Deep knowledge of distributed systems, microservices, and cloud architecture Experience with real-time data processing and high-frequency More ❯

millions of data points per second from LSE, Bloomberg, and alternative data sources Autonomous AI Agents: Build intelligent agents for trading, compliance, research, and risk management Predictive Analytics: Develop ML models for earnings prediction, M&A identification, and market regime detection Technical Infrastructure Cloud-Native Architecture: Multi-region deployment (London/Dublin/Frankfurt) with auto-scaling Real-time Data … Integrations: Bloomberg Terminal, Refinitiv, prime brokerage APIs, and regulatory systems Advanced Security: Zero-trust architecture, FCA compliance, and financial-grade security protocols 🔧 Technical Stack You'll Lead AI/ML: TensorFlow, PyTorch, MLflow, NVIDIA Triton, custom financial LLMs Data: Kafka, Flink, Snowflake, ClickHouse, Neo4j, vector databases Backend: FastAPI, GraphQL, microservices, Docker, Kubernetes Frontend: React/Next.js, TypeScript, real-time dashboards … discriminate on age and experience Proven track record building and scaling B2B SaaS platforms to $50M+ ARR Financial services experience - trading systems, risk management, or regulatory compliance AI/ML expertise - LLMs, real-time ML systems, or quantitative finance applications Technical Expertise Deep knowledge of distributed systems, microservices, and cloud architecture Experience with real-time data processing and high-frequency More ❯