201 to 225 of 1,157 Machine Learning Jobs in the UK

Product Specialist - Artificial Intelligence, Generative AI, LLM, Machine Learning Our global law firm client are actively looking to take on a new AI Product Specialist (Artificial Intelligence, Generative AI, LLM, Machine Learning) to join them on a permanent basis. Our client have recently undergone a merger … from shaping the vision and client experience through execution and delivery. to be considered for this AI Product Specialist (Artificial Intelligence, Generative AI, LLM, Machine Learning) role, it's ideal that you have: 2 + Years in a similar role Ideal but not required law firm or professional ...

Product Specialist - Artificial Intelligence, Generative AI, LLM, Machine Learning Our global law firm client are actively looking to take on a new AI Product Specialist (Artificial Intelligence, Generative AI, LLM, Machine Learning) to join them on a permanent basis. Our client have recently undergone a merger … from shaping the vision and client experience through execution and delivery. to be considered for this AI Product Specialist (Artificial Intelligence, Generative AI, LLM, Machine Learning) role, it's ideal that you have: 2 + Years in a similar role Ideal but not required law firm or professional ...

Vitality London Office.Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Proven machine learning expertise Strong MLOps and deployment capability Demonstrated stakeholder and influence skills What this role is all about: At Vitality, data scientists … projects.We are seeking highly skilled AI Engineers to join our growing team. You will design, develop, and deploy AI-driven applications leveraging both traditional machine learning and LLM based applications. The role involves building internal and external AI solutions such as Retrieval-Augmented Generation (RAG) systems, chatbots ...

scientific R&D capability. This is a rare opportunity to join a rapidly growing, venture-backed business that combines advanced sensor technology, AI/ML, data science and chemical sensing to build products capable of detecting and interpreting biological and environmental signals in ways not previously possible. The company … limitations and deployment suitability Working closely with hardware and engineering teams on sensor integration Collaborating with data scientists to interpret sensor outputs and improve ML models Helping turn early-stage concepts into scalable commercial products Supporting the development of the company's growing sensing and AI platform Influencing future hiring ...

scientific R&D capability. This is a rare opportunity to join a rapidly growing, venture-backed business that combines advanced sensor technology, AI/ML, data science and chemical sensing to build products capable of detecting and interpreting biological and environmental signals in ways not previously possible. The company … limitations and deployment suitability Working closely with hardware and engineering teams on sensor integration Collaborating with data scientists to interpret sensor outputs and improve ML models Helping turn early-stage concepts into scalable commercial products Supporting the development of the company's growing sensing and AI platform Influencing future hiring ...

ML Ops Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines that feed models … with clear SLAs, reproducibility guarantees, and observable behaviour. This is not a research role; it is a hands-on engineering role focused on making ML systems work reliably at scale. What Youll Work On ML lifecycle infrastructure Productionizing models: packaging, deployment, versioning, and rollback Designing CI/CD pipelines ...

propose and deliver across our rapidly growing Financial Services Business unit. This is a pivotal role, requiring you to balance deep AI and machine learning expertise with commercial and strategic leadership. We’ll look to you to define a differentiated technical vision for clients across banking, insurance … other media Who we're looking for: You are an experienced technology leader, with a proven track record of successfully leading AI/ML strategy and project delivery You bring a strong understanding of MLOps, with experience deploying commercially valuable AI applications within the financial services sector You have experience ...

pivotal role in defining how some of the UK's largest organisations adopt and scale AI. From Generative AI and autonomous agents to machine learning and enterprise data platforms, you'll be at the forefront of designing solutions that move beyond proof-of-concepts into real-world impact. … architecture of complex AI solutions, working across discovery, design, implementation and scale. Lead the architecture of enterprise AI, Generative AI and Machine Learning solutions Design intelligent agent frameworks and next-generation AI-powered applications Define AI governance, security and Responsible AI standards Advise executive stakeholders on AI strategy ...

Fraud team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible for developing and enhancing fraud detection systems. Software engineers, data analysts … vision is: Build a globally scalable fraud prevention and detection engine to maintain Wise as a secure environment for our legitimate customers. Utilise machine learning techniques to identify potential risks associated with customer activity. Foster a strong partnership between our fraud investigators and the product team to develop ...

opportunity for a technically strong architect who can hit the ground running from day one, providing architectural leadership across enterprise data platforms, analytics initiatives, machine learning capabilities and emerging AI solutions. You'll be responsible for defining and governing data architecture standards, designing scalable data solutions, and ensuring … Senior Data Architect capacity Strong expertise in data architecture, data modelling and information management Experience designing modern data platforms supporting analytics, reporting and machine learning workloads Knowledge of data governance, lineage, metadata management and data quality frameworks Experience defining technical standards, patterns and architectural principles Excellent stakeholder management ...

opportunity for a technically strong architect who can hit the ground running from day one, providing architectural leadership across enterprise data platforms, analytics initiatives, machine learning capabilities and emerging AI solutions. You'll be responsible for defining and governing data architecture standards, designing scalable data solutions, and ensuring … Senior Data Architect capacity Strong expertise in data architecture, data modelling and information management Experience designing modern data platforms supporting analytics, reporting and machine learning workloads Knowledge of data governance, lineage, metadata management and data quality frameworks Experience defining technical standards, patterns and architectural principles Excellent stakeholder management ...

opportunity for a technically strong architect who can hit the ground running from day one, providing architectural leadership across enterprise data platforms, analytics initiatives, machine learning capabilities and emerging AI solutions. You'll be responsible for defining and governing data architecture standards, designing scalable data solutions, and ensuring … Senior Data Architect capacity Strong expertise in data architecture, data modelling and information management Experience designing modern data platforms supporting analytics, reporting and machine learning workloads Knowledge of data governance, lineage, metadata management and data quality frameworks Experience defining technical standards, patterns and architectural principles Excellent stakeholder management ...

opportunity for a technically strong architect who can hit the ground running from day one, providing architectural leadership across enterprise data platforms, analytics initiatives, machine learning capabilities and emerging AI solutions. You'll be responsible for defining and governing data architecture standards, designing scalable data solutions, and ensuring … Senior Data Architect capacity Strong expertise in data architecture, data modelling and information management Experience designing modern data platforms supporting analytics, reporting and machine learning workloads Knowledge of data governance, lineage, metadata management and data quality frameworks Experience defining technical standards, patterns and architectural principles Excellent stakeholder management ...

encompasses the products and systems closest to the customer journey - search, pricing, payments, fare intelligence, and conversational interfaces. You will define and lead the ML strategy, team, and delivery across this domain. That means building and scaling ML and AI capabilities that measurably improve the customer experience and drive business … outcomes. The work spans traditional ML systems and emerging agentic/LLM-based capabilities. You will lead multiple ML teams through their respective team leads, reporting to the Director of AI & ML. You’ll be accountable for the people (2 ML Managers and ~10 ICs), delivery, and budget across your ...

consideration to driving action. As a Senior MLOps Engineer you will play a critical role in building the operational infrastructure that brings AI and ML models into production at Global:IQ. You will own the platforms, pipelines and processes that enable Data Science and Applied ML teams to deploy, monitor … capabilities. This position demands a hands-on engineer with deep expertise in operationalising machine learning systems, a strong understanding of cloud infrastructure, ML lifecycle management, and production monitoring. You will work closely with Data Scientists, Data Engineers and Product teams to create robust, scalable and maintainable MLOps workflows ...

unlock them with AI. We’re hiring a Head of AI Engineering, Commercial to lead a high-autonomy tiger team of Data Scientists and ML Engineers in London. You will architect and ship production AI systems—from intelligent agents to predictive analytics—that directly reshape how our global commercial organization … advisory role. You will own the roadmap, build the team, and deliver. What you will be doing Own the AI/ML roadmap for FIS’s global commercial organization—translating strategic priorities into a sequenced delivery plan with measurable outcomes. Design, build, and deploy AI Agents at enterprise scale: automated ...

Recursion’s drug discovery platform. From model training pipelines to production deployment systems, to agent infrastructure and Large Language Models, you will ensure our ML models can operate at massive scale across our supercomputing infrastructure, both on‐prem and in the cloud. You will work cross‐functionally across ML engineering … data science, and research teams to translate requirements into robust, scalable ML infrastructure solutions. In This Role You Will: Enable AI/ML, LLM, and Agentic Systems teams for scale – build and operate platforms that allow data scientists and ML engineers to train, deploy, and monitor models across Recursion ...

actively to codebases and architectural decisions Developing and deploying production-grade AI systems using Azure, Databricks and Generative AI tooling Owning the implementation of ML pipelines, APIs and data integration workflows Enforcing MLOps best practices, coding standards, version control and performance optimisation Collaborating cross-functionally with data scientists, product managers … Python proficiency (async programming, concurrency, multithreading) Expertise in RESTful API design, OpenAPI/Swagger documentation and API lifecycle best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation ...

high‐impact problems end‐to‐end. Build end‐to‐end production‐ready pipelines from ideation to deployment. Key Responsibilities Develop and deploy large‐scale ML and GenAI‐powered products and pipelines. Own all stages of the data science project lifecycle: develop, deploy, monitor, and scale models through the full Software … Development Life Cycle, perform exploratory data analysis, proof‐of‐concepts, model benchmarking, and validation experiments for both ML and GenAI approaches, partner with business leaders, domain experts, and end‐users to gather requirements and align on success metrics, follow coding standards, perform code reviews, optimize data science workflows, and evaluate ...

research that supports both our applications and the broader scientific community Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Key Responsibilities Shape and communicate the strategic vision for research across the organization Oversee multiple high-impact … research projects and ensure alignment with organizational goals Drive breakthroughs in machine learning and artificial intelligence through innovative re-search Mentor and provide leadership to senior researchers and research teams Represent the team in external partnerships, collaborations, and policy discussions Influence organizational research priorities and contribute to policy ...

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 ...

ML Ops Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines that feed models ...

hiring in Miami, London and Milan. Description -- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets. -- Required: experience training ML models end to end (from … data processing to fine tuning), experience training across transformers/generative models/RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions/industry experiences. -- Positives but not requirement: PhD. Reference: AMC/AHU/NW/SPH001 ...

flows, connectors and agent behaviours, defining secure, scalable solution architectures. Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks. Implement end-to-end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production … about you... Degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering or a closely related field. Previous experience in AI, data science, ML engineering or advanced analytics. hands-on experience designing, building and deploying Copilot and/or agentic AI solutions (e.g. Microsoft 365 Copilot extensions, Azure OpenAI-based ...

market. The product team is ambitious and well-resourced, with a long-term roadmap and real appetite for innovation - including AI and machine learning integration. The Role You'll be the voice of the user across the product team - owning the research programmes that shape product direction … research - interviews, surveys, observational studies, and usability evaluations Translating findings into personas, journey maps, wireframes, prototypes, and user flows Designing UX for AI and machine learning-powered features, including efficacy testing and governance Running usability tests, iterating on designs based on evidence Collaborating with product managers, engineers ...