651 to 675 of 6,392 Machine Learning Jobs in the UK

Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry‐leading language technology powering Rufus, our AI‐driven search and shopping assistant, helping customers with their shopping tasks at every … from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data‐driven insights to continuously improve our systems. Key Job Responsibilities As a Data Scientist, you will ...

large-scale datasets and improve database support Strengthen developer tools like Jupyter notebooks and SQL workbenches Tech stack: Java, Python, AngularJS, Angular AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference. Build next-generation features like cross-provider … deliver fast and flexible experiences Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration. Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech ...

term, obtain stakeholder buy in, and translate problems in the business into actionable research objectives. You'll collaborate and work with all aspects of ML and cybersecurity, across a large enterprise and complex data problems in size (trillions of events a day), asperity, and the dynamic nature of an active … staff and budget planning, and disseminate key milestones to the business leaders. Plan and prioritize team roadmaps, balancing research innovation with delivery of production ML systemsStay current with emerging trends in ML and cybersecurity, and evaluate new technologies for potential adoptionCollaborate with cross-functional teams including security research, engineering ...

software engineering concepts, plus 5+ years of applied experience building production Python systems, including web/API services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy, spaCy, PyTorch or TensorFlow). Demonstrated experience taking machine learning models from prototype to production - training, packaging … Knowledge of deep learning architectures (CNNs, transformers, sequence models) and of reinforcement learning concepts and their practical applications. Experience building self-service ML tooling - model catalogues, automated pipelines, feature stores, and explainability (SHAP, LIME) surfaced to non-technical users. Understanding of industry-standard validation and testing for LLMs ...

governance frameworks using capabilities such as Unity Catalog, lineage, access controls, metadata management, and quality controls to support scalable analytics and AI. Design modern ML, MLOps and LLMOps architectures, including feature engineering, model lifecycle management, orchestration, deployment patterns, monitoring, observability, governance, and cost-aware scaling of AI solutions. Lead client … , and Generative AI platforms. Expertise in enterprise data modelling, dimensional modelling, semantic layer design, data product thinking and information architecture. Experience designing modern ML platforms and LLMOps architectures, including model lifecycle management, AI governance, vector databases, Retrieval‐Augmented Generation (RAG), and enterprise AI deployment patterns. Strong understanding of enterprise ...

governance frameworks using capabilities such as Unity Catalog, lineage, access controls, metadata management, and quality controls to support scalable analytics and AI. Design modern ML, MLOps and LLMOps architectures, including feature engineering, model lifecycle management, orchestration, deployment patterns, monitoring, observability, governance, and cost-aware scaling of AI solutions. Lead client … , and Generative AI platforms. Expertise in enterprise data modelling, dimensional modelling, semantic layer design, data product thinking and information architecture. Experience designing modern ML platforms and LLMOps architectures, including model lifecycle management, AI governance, vector databases, Retrieval-Augmented Generation (RAG), and enterprise AI deployment patterns. Strong understanding of enterprise ...

diverse portfolio of data, products and services. LSEG's Data & Analytics division has a long history of using classical machine learning (ML) techniques, and we're also at the forefront of using GenerativeAI to build intuitive solutions that use the wealth of information in our documentation, datasets … exceptional leader to help build and scale an organization to deliver on this promise. You'll solve customer problems using a combination of classical ML and GenAI technologies, delivering products that both delight our external customers, and help internal customers do their jobs effortlessly. We are not a PoC shop ...

engineering and platform teams onMLOpstooling andinfrastructure, andhelp respond to incidents affecting live models. What You’ll Bring Essential Strong hands-on data science and ML experience, with the ability to design end-to-end models, write production-quality code, and make independent modelling and architecture decisions. Advanced Python … learn, and XGBoost/LightGBM. Experience in at least two of the following: forecasting, segmentation, recommender systems, ranking, or behavioural modelling. Proven delivery of ML projects end to end, from problem framing and exploratory analysis to production deployment. Ability to translate business problems into well-scoped data science solutions, prioritising ...

share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus … learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end‐to‐end training pipeline. Leverage state ...

5+ years of hands-on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications 5+ years of experience working with GitHub Actions Proficiency in Python or TypeScript for test automation Experience with modern testing frameworks such as Playwright … Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP) Experience with AWS, Azure, or GCP and Docker or Kubernetes ...

DoLead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. Lead the modeling framework for complex systems, guaranteeing … related quantitative field, or equivalent experience in practice. Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience ...

team partners closely with trading, technology, and risk teams to deliver impactful tools and analytics. The team specializes in building models that leverage Machine Learning, Statistics, and Operations Research to solve complex business challenges. As a Vice President in QTR Prime Finance, you will collaborate with senior stakeholders … Document models, methodologies, and processes for transparency and knowledge sharing. Required Qualifications, Capabilities and Skills Advanced degree (Masters or PhD) in Statistics, AI/ML, Computer Science, Operations Research, or related quantitative field. Significant experience in quantitative modelling, analytics, or related roles. Strong background in AI, machine learning ...

Задачи Design and build robust, secure APIs and backend components for AI/ML, GenAI, and agentic applications; Engineer agentic systems by integrating LLMs with tools, data sources, and business workflows into reliable production-grade pipelines; Drive systems from prototype to production, owning reliability, scalability, and operational readiness; Improve code … quality, structure, and production readiness across the AI/ML stack; Debug and resolve issues across APIs, environments, and integrations; Act as the primary technical partner between Data Science and Engineering, DevOps, and Infrastructure teams; Support colleagues whose systems integrate with AI/ML and agentic components; Resolve technical ambiguity ...

data science leaders to help define AI and data strategies aligned with client objectives. Contribute to the development and delivery of LLM-based and ML-based solutions that improve customer and marketing outcomes. Lead Generative AI Innovation and Prototyping Support early-stage generative AI initiatives, helping design PoCs, prototypes … such as debt accumulation and overlapping initiatives. Promote Innovation and Best Practices Contribute to the adoption of modern data science and AI technologies, including ML pipelines, feature engineering automation, and advanced data processing. Drive the creation of reusable data science assets, frameworks, and best practices. Assist in applying advanced machine ...

Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting … hands-on contributor, working closely with experienced engineers to build reliable, high-performance systems across devices, cloud platforms, and applied ML, contributing to real-world, field-deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your ...

production-grade data products that serve analytics, search, recommendations, personalization, and machine learning. You will work closely with product managers, analysts, data scientists, ML engineers, and software engineers to turn ambiguous needs into dependable, well-documented datasets and pipelines.This is a hands-on engineering role for someone who cares … cost without compromising reliability.Enable machine learning and customer experiences• Create versioned training, validation, and inference datasets for search, recommendations, personalization, and other ML products.• Partner with ML engineers and data scientists to make feature computation reproducible and consistent across experimentation and production.• Support experimentation by delivering trustworthy exposure ...

methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services, Payments and CIB Treasury team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job SummaryAs an Associate/… tackling their most technically complex business problems. This could range from leveraging LLMs to deliver capabilities at scales never before possible, to developing ML applications that make business-critical predictions, to handling vast data sets using the J.P.Morgan's Cloud capabilities. You will be in tight partnership with the business ...

other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job SummaryAs an Associate … support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business-critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging policies ...

Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement.* Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes.* Lead the modeling framework for complex systems, guaranteeing … related quantitative field, or equivalent experience in practice.* Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring.* Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics.* Hands-on experience ...

within the Research & Development function of the Insights team. The primary focus of this role is to design and build world-leading statistical and machine learning models that provide a competitive advantage to England teams. The successful candidate will develop innovative methodologies to model diverse aspects of international … problems, using the freedom to experiment with many different approaches on long-term projects to provide genuinely novel solutions. Research emerging methods across statistics, ML/AI, and adjacent fields to evaluate their applicability to football modelling. Effectively utilise AI coding agents and tooling to accelerate the speed of development. ...

enhance the ClearScore user experience through improved dynamic content targeting and prioritisation, you will take end-to-end ownership of data science and machine learning solutions across a variety of use cases, business areas, and markets. Your contributions will directly support the Global Targeting mission, enabling the organisation … drivers of credit and affordability strategies, as well as familiarity with credit bureau data and its effective utilisation for building predictive ML models A postgraduate degree or equivalent qualification in a STEM field Why ClearScore? ClearScore is the UK's #1 credit score and report app. We are also present ...

collaborateacross teams to support shared goals and continuous improvement. In addition to training delivery, you’ll play akey role in shaping the future of learning by contributing insights to thedesign and development of cutting-edge courses. With strong technical expertisein GenAI, machine learning, Python, and the NumPy … Knowledge & Experience Desirable hands-on experience with leading AIframeworks (e.g. TensorFlow, PyTorch) Familiarity with cloud platforms (AWS, GCP,Azure) Experience working with AI/ML engineers, datascientists, and other data professionals Wider Requirements Passion for education, technology, andempowering others through knowledge sharing Qualifications: Desirable degree in Mathematics or related field ...

term business needs. Required qualifications, capabilities, and skills PhD in Computer Science, Engineering, or related fields with relevant research & work experience in AI/ML Research publications in top-tier AI/ML venues (e.g., conferences, journals) - broad conferences such as NeurIPS, ICML, ICLR, etc., or highly regarded specialized conferences … such as ICAPS, CRYPTO, etc. Deep understanding of fundamental AI/ML techniques and a strong grasp of current state of the art in specific areas of expertise. Effective verbal and written communication skills with the ability to address both technical and business audiences. Practical software development experience in collaborative ...

with stakeholders to design and deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. About the Candidate: Essential Experience … MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding packages. Strong experience in testing data models and Machine Learning Models. Deep understanding of product delivery from requirements to desirable ...

proficiency in modern programming languages and software development practices (e.g., version control, CI/CD, automated testing). Hands-on experience delivering AI or machine learning solutions at scale, including model development, deployment, and ongoing operations (MLOps). Experience with large language models (LLMs), generative AI techniques … applications in operational, trading, or engineering domains (e.g., optimisation, forecasting, natural language interfaces to enterprise data). Formal training or certification in AI/ML (e.g., AWS Machine Learning Specialty, Google Professional ML Engineer, or equivalent). Why join us? Were committed to supporting leaders who want ...