1,576 to 1,600 of 4,814 Machine Learning Jobs in the UK

development principles. Proficiency in modern cloud platforms, particularly AWS, with experience in designing and managing scalable cloud-based solutions. Experience in integrating AI and machine learning technologies into software solutions to enhance functionality and user experience. Strong skills in database design, optimization, and maintenance, with experience in ensuring … Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines Ability ...

reliable systems that power smarter decisions? You could be part of our team, joining our Pricing and Underwriting domain to bridge the gap between machine learning, data science, and engineering. What you’ll do Shape the architecture of data products built for: analytics forecasting feature engineering customer behavior … tooling and frameworks that enable teams to: ingest data store data transform data serve their own data products confidently Partner closely with: data scientists machine learning engineers Improve and evolve the overall data infrastructure Experiment with emerging technologies Explore open-source tools Engage with the broader tech community ...

Qualifications:5+ years of Product Management experience delivering technical products, data products, analytics solutions, AI-powered applications, or enterprise software.Experience working within analytics, data, machine learning, AI, or other technical product domains.Strong understanding of how users interact with data and analytics products to answer questions, generate insights … define requirements, prioritize work, and deliver products iteratively.Strong familiarity with modern AI technologies, including generative AI, Large Language Models (LLMs), conversational AI, or machine learning-powered experiences.Understanding of concepts such as retrieval-augmented generation (RAG), AI agents, orchestration frameworks, evaluation approaches, or similar AI product patterns.Strong analytical ...

from discovery through delivery and iteration, incorporating rapid experimentation, prototyping, and AI-assisted development Identify, shape, and prioritise AI/GenAI/agentic/ML use cases, translating them into scalable product features and measurable business outcomes Partner closely with data science and engineering teams to bring ML models … responsible AI by embedding governance, explainability, and regulatory considerations into product design and lifecycle Mentor and lead multidisciplinary teams, fostering a culture of experimentation, learning, and AI & data fluency What We’re Looking For Experience in developing and delivering digital products/portfolios across B2B, B2C, or B2B2C contexts ...

product team Hands-on experience analysing high-volume text, conversation, messaging, or document data Deep understanding of NLP, semantic analysis, or text-focused machine learning techniques Strong Python and SQL skills Experience applying statistical and machine learning methods such as classification and regression Proven ability ...

have the opportunity to shape the next generation of IT professionals, by bringing your real-world experience into a modern, industry-focused learning environment.We are keen to engage with you if you specialise in Artificial Intelligence and are looking to join us as Lecturer or Senior Lecturer … postgraduate), including our highly regarded degree apprenticeships.This isn't purely theoretical teaching—you'll:Teach modern practices in Artificial Intelligence (e.g. Data Analysis & Visualisation, Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, AI Ethics, Governance & Responsible AI)Work with apprentices employed in industry, bringing real ...

Vitality London Office. Full time, 37.5 hours per week. We are happy to discuss flexible working!Top 3 skills needed for this role:Demonstrated Machine Learning ExpertiseAdvanced Python & SQL MasteryProven Stakeholder CollaborationWhat this role is all about:We're looking for a Data Scientist to play … partner with experts from across the organisation and contribute to the next generation of AI-enabled underwriting and claims capabilities. Key ActionsApply data science, machine learning and AI techniques to improve underwriting and claims decision-making, customer outcomes and business performanceDevelop predictive models, analytical tools and dashboards that ...

teams.Your responsibilities will includeArchitectural Blueprinting & Design Recommend the reference architectures for AI related solutions across the enterprise.Design end-to-end pipelines for Generative AI, Machine Learning, and Agentic workflows.Ensure that AI solutions are modular, reusable, and aligned with enterprise security and compliance standards.Recommend the optimal technical stack … Bachelor’s or Master’s Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field is required. Solid foundational knowledge in Machine Learning and Software Architecture is essential.Experience:5+ years of significant experience in designing end-to-end technical architectures for Machine Learning ...

teams.Your responsibilities will includeArchitectural Blueprinting & Design Recommend the reference architectures for AI related solutions across the enterprise.Design end-to-end pipelines for Generative AI, Machine Learning, and Agentic workflows.Ensure that AI solutions are modular, reusable, and aligned with enterprise security and compliance standards.Recommend the optimal technical stack … Bachelor’s or Master’s Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field is required. Solid foundational knowledge in Machine Learning and Software Architecture is essential.Experience:5+ years of significant experience in designing end-to-end technical architectures for Machine Learning ...

5+ years of Product Management experience delivering technical products, data products, analytics solutions, AI-powered applications, or enterprise software. Experience working within analytics, data, machine learning, AI, or other technical product domains. Strong understanding of how users interact with data and analytics products to answer questions, generate insights … define requirements, prioritize work, and deliver products iteratively. Strong familiarity with modern AI technologies, including generative AI, Large Language Models (LLMs), conversational AI, or machine learning-powered experiences. Understanding of concepts such as retrieval-augmented generation (RAG), AI agents, orchestration frameworks, evaluation approaches, or similar AI product patterns. ...

analytics. Develop systems for capturing, processing, and serving pricing data across internal and external platforms. Work closely with Pricing/Data Scientist to productionise machine learning models, including feature pipelines, deployment workflows, and monitoring. Ensure pricing systems are reliable, observable, and fully automated, with strong CI/… backend services, and operational data models. Experience designing scalable APIs and data capture systems that support configuration-driven or rule-based logic. Experience productionising machine learning models in collaboration with Data Science teams (feature pipelines, deployment, monitoring, retraining workflows). Strong understanding of cloud infrastructure, CI/ ...

high-performing teams in a dynamic environment* (Desirable) Understanding of content management systems and best practices, with a preference for Sitecore* (Desirable) Knowledge of machine translation technologies and mechanisms, including integration of AI-driven translation services into enterprise architectures* (Desirable) Experience in development and deployment of generative … machine learning systems, with preference for AWS Bedrock and associated AI services* (Desirable) Experience in API management and API marketplace design* (Desirable) Experience working in a multi-cultural international organisation* Language(s): English (fluent)## Job Description* Provide architectural oversight, ownership, and guidance for the design and implementation ...

that align document understanding capabilities with diverse business needs including next-generation search and deep legal research Mentor and coach team members with varied ML/NLP abilities, building technical capability across the organization About You You're a fit for the role of Lead Applied Scientist if you have … efficiency optimization including knowledge distillation, model compression, and designing SLM-based solutions that balance performance with computational constraints Solid understanding of DL/ML approaches used for NLP tasks Experience designing annotation workflows, creating high-quality labeled datasets with clear guidelines, and developing evaluation frameworks for document understanding tasks ...

evolve the plan honestly when priorities or evidence change, rather than defending a roadmap past its usefulness. • Act as a thought leader in AI, machine learning, agentic systems and analytics trends, embedding this into product direction and helping the business understand where autonomous AI creates step-change value … single team. Write clear specs, define acceptance criteria, and stay close through delivery. • Partner with data science and engineering to spot where AI and machine learning genuinely improve the product, then design those capabilities so the output is explainable and trusted. • Translate data collection and processing into visualisation ...

fast-paced, high- performance, highly collaborative environment and demonstrate an ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. Responsibilities: Develop and execute a comprehensive sales strategy to drive revenue growth within … engineering, science, computer science, or related technical field of study. Master’s or MBA degree preferred. Experience with and understanding of AI and Machine Learning is highly favorable. Exemplary written and oral communication skills. Excellent interpersonal, planning, and organisational skills. Strong analytical skills. Sales consulting or management consulting ...

central risk books, systematic trading, and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models, including advanced machine learning and AI, to improve business performance while working closely with traders and salespeople on the trading floor to bring value … Quantitative Trading & Market Making desk, building market making and quoting strategies across FICC products.Use advanced statistical analysis and quantitative techniques such as neural networks, machine learning, and factor models to build models that drive systematic alpha strategies which make real-time trading and risk management decisions.Implement frameworks ...

fast-paced, high- performance, highly collaborative environment and demonstrate an ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science.Responsibilities:Develop and execute a comprehensive sales strategy to drive revenue growth within … organisations.Degree in engineering, science, computer science, or related technical field of study. Master’s or MBA degree preferred.Experience with and understanding of AI and Machine Learning is highly favorable.Exemplary written and oral communication skills.Excellent interpersonal, planning, and organizational skills.Strong analytical skills.Sales consulting or management consulting experience preferred.C3 ...

experience. Essential Requirements You will have a PhD in a relevant discipline and circa 10+ years of demonstrable experience in an AI/ML role in industry or academia, preferably in the Defence sector. You will have experience of previously leading R&D teams. You will have experience of previously … Assurance activities. Proposal writing experience is essential. Of particular interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ ...

experience. Essential Requirements You will have a PhD in a relevant discipline and circa 10+ years of demonstrable experience in an AI/ML role in industry or academia, preferably in the Defence sector. You will have experience of previously leading R&D teams. You will have experience of previously … Assurance activities. Proposal writing experience is essential. Of particular interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ ...

analysis into clear recommendations and actionable outcomes.Evaluate emerging AI capabilities and identify where they can create value.Essential Skills/ExperienceData AnalysisProgrammingScriptingArtificial Intelligence/Machine LearningStatistical AnalysisDesirable Skills/ExperienceEssentialExperience applying data science techniques to solve complex real-world problems.Strong Python and Linux skills and experience with common data science … machine learning libraries.Experience developing, testing and deploying machine learning models.Knowledge of AI technologies, including generative AI and large language models.DesirableExperience working with large-scale datasets and distributed data processing platforms such as Hadoop or Spark.Knowledge of MLOps, CI/CD pipelines and container technologies.Experience working with ...

time-to-market against new threat vectors.The AI & Automation Foundation: Set the architectural and product blueprint for augmenting human intelligence. You will integrate machine learning, LLMs, and smart automation into the daily workflow of analysts—from automated data summarization and predictive task routing to AI "copilots" that draft … consumers. You understand the intricate architecture required for high-availability, low-latency workflows.AI & Automation Intuition: You don't need to be a machine learning engineer, but you know how to productize data science. You look at a manual operational workflow and immediately see how smart heuristics, predictive models ...

just proofs‐of‐concept. Expert‐level proficiency in Python is a must‐have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full‐stack development experience is a distinct advantage. Extensive hands‐on experience with Generative AI concepts, Large Language Models (LLMs … practical experience with containers and orchestration technologies, specifically OpenShift . Demonstrated ability to architect, develop, and deploy highly performant, large‐scale AI/ML systems into production environments. Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems. Proficiency with Relational (preferably, PostgreSQL ...

ideal candidate will help define the right problems to solve, not just execute against a fixed brief. The Applied Scientist role combines data science, ML and statistics to build practical systems that drive real business outcomes. It is not a pure research role, although you may explore papers … waiting to be assigned. You will be comfortable – and ideally enjoy – collaborating with others. What We Are Looking For Deep expertise in one applied ML, statistics or data science speciality. Examples could be risk modelling, LLM detection, or reinforcement learning – any area of genuine depth counts. Judgement about when ...

success and health of our games.We collaborate as a distributed team to develop innovative data pipelines, data products, data models, reports, analyses, and machine learning applications.The Data Design function within Analytics partners closely with game development, analytics engineering, and data science teams to design telemetry that is reliable … documentation that can be implemented by development teams.Review proposed telemetry designs for completeness, quality, consistency, and suitability for downstream modelling, reporting, experimentation, and machine learning use cases.Collaborate with analytics engineers to ensure telemetry is structured to reduce transformation complexity and improve reliability of curated data products.Support the Data ...

success and health of our games.We collaborate as a distributed team to develop innovative data pipelines, data products, data models, reports, analyses, and machine learning applications.The Data Design function within Analytics partners closely with game development, analytics engineering, and data science teams to design telemetry that is reliable … documentation that can be implemented by development teams.Review proposed telemetry designs for completeness, quality, consistency, and suitability for downstream modelling, reporting, experimentation, and machine learning use cases.Collaborate with analytics engineers to ensure telemetry is structured to reduce transformation complexity and improve reliability of curated data products.Support the Data ...