476 to 500 of 4,510 Machine Learning Jobs in England

step of their shopping journey.This innovative role focuses on developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences.Our mission in conversational shopping is to make it easy for customers to find … 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 responsibilitiesAs a Data Scientist, you will be responsible ...

real user impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions.ResponsibilitiesDesign, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications.Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering … improvement.RequirementsPractical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field.Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments.Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible ...

levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

KingdomCardiff,United KingdomEdinburgh,United Kingdom We are looking for a passionate AI Engineer specializing in Natural Language Processing (NLP) and Machine Learning (ML) to contribute to Data Enrichment efforts within Meltwater. As part of this role, you will work with experienced team members and product managers to design … evaluate machine learning and deep learning algorithms for Natural Language Processing/Understanding. Assist in the design, development, and testing of ML models and pipelines for real-time processing of unstructured data. Collaborate with senior team members to analyze the impact of algorithm changes. Learn and grow ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

preclinical, clinical, external).Contribute to translational programs across disease areas and communicate modelling insights to influence decision-making.Stay current with advances in AI/ML and their application to ADME, PK/PD, and drug discovery and development, and proactively evaluate and bring appropriate innovation into practice to improve efficiency … Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language ...

good. Our work sits across the whole development lifecycle, from prototyping new machine learning models to building scalable and secure production ML systems, and everything in between. Our work spans disruptive startups, multi-national organisations, policing, and secure government sectors, providing you with the unique opportunity to make … passion for coding, machine learning, open source technologies, and setting the standards for their implementation and adoption. Strong experience building production-grade ML software in Python - this could include training and serving machine learning models, building large-scale inference services, or integrating . Experience deploying ML ...

retrain as necessary• Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutionsSkills required: • Overall 8+ years of experience.• 5+ Years of strong Python coding skills and python libraries (like NumPy, Pandas etc.)• 3 Years of solid understanding … ceremonies.• Strong communication skills.• Understanding and experience on Gen AI implementations• Experience on Langchain, Vector DB, Embeddings or related frameworks• Experience on AI/ML model implementations using scikit learn, Tensor flow etc.,• Experience with Chat, IVR, Banking will be plus• Google Cloud (GCP) knowledgeAbout NTT DATANTT DATA ...

What You’ll BringExperience 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 … 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 ...

secure use of data and AIRequired Skills:Experience in data science, machine learning, or applied analyticsStrong proficiency in Python and common ML libraries (pandas, NumPy, scikit‐learn, TensorFlow, PyTorch)Experience designing, training, and evaluating machine‐learning modelsSolid understanding of statistical methods, predictive modelling, and experimental designExperience … concepts clearly to non‐technical stakeholdersExperience working in an agile delivery environmentStrong problem‐solving skills and attention to detailDesired Skills:Experience with cloud‐based ML services (AWS SageMaker, Azure ML, Databricks)Familiarity with MLOps practices and model lifecycle managementExperience with NLP, deep learning, or computer visionKnowledge of data visualisation ...

DescriptionWe are looking for a passionate AI Engineer specialising in Natural Language Processing (NLP) and Machine Learning (ML) to contribute to Data Enrichment efforts within Meltwater. As a part of this role, you will work with experienced team members and product managers to design, test, and implement machine … evaluate machine learning and deep learning algorithms for Natural Language Processing/Understanding.Assist in the design, development, and testing of ML models and pipelines for real-time processing of unstructured data.Collaborate with senior team members to analyze the impact of algorithm changes.Learn and grow under mentorship, gaining ...

What you ll be doing As Lead Data Scientist, you ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns and insights that directly … return Fully remote working with flexibility built in. £90,000 £100,000 salary plus additional benefits. Access to huge, high-quality datasets and modern ML tooling. The chance to work on intellectually challenging problems every day. Real influence over large-scale analytical systems and strategy. Clear opportunities for career growth ...

seeking an experienced and adaptable machine learning (ML) and artificial intelligence (AI) engineering professional to join a nimble and best‐in‐class data team at The Beatport Group. The role will report to the Director of Intelligence Engineering and will share in the ownership and delivery of cutting … edge, scalable ML/AI models. Initial Workstreams Recommendations and personalization Search optimization Audio modeling As a Senior ML & AI Engineer, you will be responsible for: Developing and implementing ML and AI based solutions to enhance and optimize the Beatport customer experience, including semantic search, content recommendation/personalization engines ...

What you’ll be doing As Lead Data Scientist, you’ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns and insights that directly … return Fully remote working with flexibility built in. £90,000–£100,000 salary plus additional benefits. Access to huge, high-quality datasets and modern ML tooling. The chance to work on intellectually challenging problems every day. Real influence over large-scale analytical systems and strategy. Clear opportunities for career growth ...

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 ...

deployment frameworks, and system integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and enterprise architecture best practices (e.g., microservices, APIs, cloud-native design). AI & Data Platform Architecture/Deployment: Architect … related field 7–10 years of experience in solution architecture, software engineering, or related technical roles, with 4–5 years focused on AI/ML Proven success designing and deploying AI solutions in production environments, including GenAI, NLP, and computer vision Strong understanding of the AI solution lifecycle — from business ...

retrieval architectures (lexical, vector, hybrid) Evaluation methodologies for IR and generative AI systems Strong programming skills in Python Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph , Haystack) Experience working with Databricks or similar distributed data and machine learning platforms Understanding … ranking, recommendation, or retrieval systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies, or semantic enrichment systems Exposure to production ML systems and MLOps practices Academic or industry research experience in NLP, information retrieval, search, or generative AI Experience working in content-rich, knowledge-intensive ...

applied NLP Strong hands‐on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM‐based systems Evaluation methodologies for ML/IR/GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with … Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large‐scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards ...

adoption of the latest AI trends. You will own the full lifecycle of data science engagements: shaping ambiguous problems, designing and delivering statistical and machine learning models, and ensuring they are embedded into operational workflows. You will work across organisations at every stage of data maturity, applying sound … science areas such as: Customer analytics (segmentation, churn, LTV) Pricing and optimisation models Experimental design and causal inference Natural Language Processing (within a traditional ML framework as well as LLM‐based approaches) Other information If you feel that you would be a strong addition to our team ...

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 ...

retrieval architectures (lexical, vector, hybrid). Evaluation methodologies for IR and generative AI systems. Strong programming skills in Python. Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack). Experience working with Databricks or similar distributed data and machine learning platforms. … ranking, recommendation, or retrieval systems. Familiarity with scientific, biomedical, or scholarly datasets. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems and MLOps practices. Academic or industry research experience in NLP, information retrieval, search, or generative AI. Experience working in content‐rich, knowledge‐intensive ...

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 PrototypingSupport early‐stage generative AI initiatives, helping design PoCs, prototypes, and model evaluation frameworks.Act … risks such as debt accumulation and overlapping initiatives. Promote Innovation and Best PracticesContribute 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‐learning ...