476 to 500 of 2,074 Machine Learning Jobs in the UK

function performance - engagement pipeline, outcomes, team development, and capacity. What You Bring Required Experience • Extensive experience in software engineering and AI/ML engineering, with significant time leading senior engineering teams or functions. • Demonstrated experience taking AI ideas from sketch to working software at speed, in customer-facing engineering roles. … #AGTech Skills Artificial Intelligence (AI), Artificial Intelligence Ethics, Artificial Neural Networks (ANNS), Classification Models, Deep Learning, Intelligent Automation (IA), Machine Learning (ML), Model Evaluation, Predictive Modeling, Python (Programming Language), Test Documentation Why GSK? Uniting science, technology and talent to get ahead of disease together. ...

latency and throughput, and cost per task; feed user signals and human feedback into continual improvement cycles and ongoing model updatesApply data science and ML skills as needed to materially improve platform performance or reliability: data preparation, feature engineering, model selection, training, validation, and reproducible evaluation pipelinesDesign for secure enterprise … applicationsSolid system design and architecture skills, with deep familiarity with cost optimization and computational tradeoffs for LLM workloadsAbility to apply data science and ML skills to improve system performance: feature engineering, model selection, training, validation, and reproducible evaluation pipelinesStrong engineering fundamentals: clean, testable, maintainable code; code review; version control; automated ...

retrieval systemsSearch and retrieval architectures (lexical, vector, hybrid)Evaluation methodologies for IR and generative AI systemsAdvanced programming skills in PythonExperience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack)Experience working with Databricks or similar distributed data/ML platformsStrong understanding of experimentation design … large-scale search, ranking, or recommendation systemsFamiliarity with scientific, biomedical, or scholarly datasetsExperience with knowledge graphs, ontologies, or semantic enrichment systemsExposure to production ML systems and MLOps practicesPublications or applied research contributions in NLP, IR, search, or generative AIExperience building AI systems in regulated, high-trust, or content-rich domainsWhy ...

complex data into insight that informs product strategy and partner-facing solutions. This role sits within a growing Data organisation that includes Data Science, Machine Learning, Data Engineering, Business Intelligence and Data Product Management, offering the opportunity to contribute to decisions that shape the next generation of rail … delivery. Help define how we measure success across TPS products and partner solutions. Contribute to a growing Data organisation that includes Data Science, Machine Learning, Data Engineering, Business Intelligence and Data Product Management. Support the development of innovative retail and enterprise solutions that help shape the future ...

find below JD for ML engineer/Architect: Perform designing, implementing and maintaining systems that detect, investigate and mitigate financial crimes primarily be focused on model development and associated data science activities Engineers/data science backgrounds with transaction monitoring background The role combines transaction monitoring domain expertise with technical … skills in Data Science, Machine Learning, PySpark programming. Experience in designing and deploying AI/ML products, hands-on and as a manager Develop and maintain AI driven monitoring engines that scrutinize financial transactions in real time. Identify suspicious pattern, anomalies or deviations indicative or money laundering ...

ownership of architecting, building, and deploying modern data pipelines in Snowflake, dbt and Dagster You will lead the designing of scalable data models and machine learning models Key Responsibilities Pipeline & Architecture Ownership: Design and implement automated, modular transformation pipelines in a modern cloud data warehouse … following a clean, tiered physical data architecture (from raw ingestion to governed marts). Experience with machine learning models - Needs experience with ML development life cycle within Snowflake (Martech experience highly desirable) Governance & Security: Implement enterprise-grade data security standards, including automated quality testing, role-based access control ...

help scale and productionise machine learning solutions. You'll be responsible for building robust deployment pipelines, improving model monitoring, and ensuring ML systems are reliable, secure, and performant in production. Key Responsibilities Build and maintain ML deployment pipelines. Develop CI/CD processes for machine learning ...

collaborating with talented engineers worldwide? If so, we'd love to talk. We collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor's global engineering organization. What You'll DoData Engineering & Data Products & EnablementOwn the full lifecycle of business critical data … anomaly detection, and lead incident response and root-cause analysis. Define scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. Design, build, and maintain robust ETL/ELT data pipelines that process terabyte- to petabyte ...

will doHelp to lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as its integration with our platform for deploying and running those models in productionPartner with Quantitative Researchers to conduct research: test … Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar8+ years of hands-on experience MLOps, Research Engineering, or ML ResearchA strong background in mathematics and statisticsStrong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and rayDemonstrated ...

techniques such as time-series methods, machine learning and NLP to extract value from dataAnalyze large data sets using advanced statistical and ML methods to identify trading opportunitiesHelp to develop statistical and ML based tools and techniques to solve complex data related problems throughout the firm. Typical … Primary focus throughout the day is on researching new statistical and ML techniques and exploring datasetsDiscuss and present research results with other researchersDeploy and monitor models used to generate trading signals. Required Qualifications: Quantitative background - includes advanced degrees in computer science, machine learning/NLP, statistics, signal processing ...

across cloud, on-premises, hybrid and restricted environments. Who you'll work withAs a member of our AI Lab, you'll collaborate with senior machine learning engineers, software developers, platform engineers, and security and infrastructure specialists as well as scientific domain experts across Viridien. Learn more about … work and the team on our website, in a recent blog post featuring one of our senior machine learning engineers and from our Voices of Viridien. What you'll work onContribute to design and implementation of production architectures for agentic AI, LLM and vision-language applications. Adapt agent ...

design. All underpinned by technology created with purpose. We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks … pitch contribution, and client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE We’d love to meet someone ...

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such ...

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such ...

keen ability to assess, analyse, and meet client-specific needs. You will play a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI) solutions for our clients, along with providing key advice around innovation and new techniques to stakeholders. You will be designing solutions … complex challenges and will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.) to tackle real world problems, applying tools and techniques, and developing novel approaches where required. Building ...

keen ability to assess, analyse, and meet client-specific needs. You will play a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI) solutions for our clients, along with providing key advice around innovation and new techniques to stakeholders. You will be designing solutions … complex challenges and will integrate code with software engineers. Responsibilities will include: · Leading and delivering technical consulting projects. · Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.) to tackle real world problems, applying tools and techniques, and developing novel approaches where required. · Building ...

About our TeamData Science Life Sciences is a diverse team focusing on GenAI, ML, NLP. We mainly develop best-in-class enrichment pipelines for Elsevier's life science .com products such as Reaxys, Embase and Pharmapendium. About the RoleAs Principal Data Scientist (AI/NLP & Generative AI), you will provide … involvement will be occasional, on high priority or high risk work. Responsibilities: Technical Direction & OversightSet technical direction and architectural standards for AI/ML, NLP, and generative AI solutions across teams, including LLM powered workflows, RAG systems, retrieval, ranking, and recommendation capabilities. Guide how scientific metadata, ontologies, taxonomies, and knowledge ...

Data Science, based in any of our Brussels (Belgium), Slough (UK) or Raleigh (US).About the roleYou will help shape how advanced AI, machine learning, and computational methods support clinical development. You will design, validate, and deploy models that help teams make evidence-based decisions in areas such … guidance. You understand supervised, unsupervised, Bayesian, and deep learning methods, and can apply them to real-world scientific questions. You have experience with ML infrastructure, reproducible research, Linux or HPC environments, and software or platform development. You communicate clearly with scientific, technical, medical, and business partners, and enjoy working ...

677Skills: AI, Agentic AI, ML Lifecycle, AWS, Azure, Python, Microsoft Copilot StudioSenior Data Science Consultant60k - 70k + bonus and benefits (multiple positions available at different levels)London, Manchester or Glasgow/Hybrid Working Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This … Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients ...

Engineering teams to develop and deploy machine learning and AI solutions that deliver measurable business impact. Key Responsibilities Own end-to-end ML projects, from problem definition and model development through to production deployment, monitoring and optimisation. Build predictive models for pricing, demand forecasting, customer propensity, personalisation … models in production. Strong understanding of MLOps, model monitoring, statistical modelling and experimentation. Practical experience developing GenAI/LLM applications. Experience with cloud-based ML platforms, ideally GCP/Vertex AI. Familiarity with Docker, Git, CI/CD and software engineering best practices. Strong stakeholder management skills and a commercially ...

Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients … great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic ...

Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients … great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic ...

Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients … great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic ...

client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).Our consultants are at the heart of everything we do, and we have been recertified as a 2025 Great Place to Work. This … presentation skillsAbility to build effective internal and external relationshipsStrong influencing and negotiation skillsCreative thinker with the ability to propose innovative solutionsPassion for continuous learning and self‐developmentLeadership capability, either formally or through delivery ownershipTo qualify for this role, you must have: Multi-skilled experience in one or more ...

have introduced a brand-new Data Scientist position to support their Head of Analytics in delivering data for successful business solutions. You'll build machine learning, forecasting and identity resolution solutions on Snowflake … Azure DevOps, with models powering web apps, mobile apps and Power BI. Skills & Experience Strong SQL and Python skills. Proficient experience using AI/ML in Snowflake. Hands-on experience building, testing and training ML models, including classification, forecasting and inference. Experience with Power BI, Tableau or other visualisation tools. ...