251 to 275 of 4,924 Machine Learning Jobs in England

signal processing use cases across Metrea, specifically within our internal Decision Science Laboratory and automated Solution Engine. Applicants should be comfortable with deploying operational ML techniques across relevant problem sets, including signal processing algorithms, time-frequency analysis and parameter estimation. Waveform generation experience would also be useful. The ideal candidate … data science techniques to address signal processing techniques. Provide input to hardware and aerial designers and liaise with forward-deployed teams Conduct ML experiments and take responsibility for the subsequent operational deployment of selected approaches. Mentor and manage junior team members and foster a collaborative, innovative work environment. Apply ...

between traditional predictive algorithms and modern generative systems. Your Impact Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Timeseries Forecasting models to solve complex enterprise business and planning challenges. Generative AI Architecture: Architect GenAI solutions, focusing on fine … Familiarity with Anaplan or similar enterprise planning platforms. Experience with A/B testing and experimentation frameworks for AI features. Contributions to open‐source ML projects or research publications. Our Commitment to Diversity, Equity, Inclusion, and Belonging (DEIB) We believe at Anaplan that diversity, equity, inclusion and belonging are central ...

broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to Google's users and customers. In this role, you will design statistical and machine learning … build investigative tools and data pipelines for infrastructure integration. Proven track record of influencing engineering priorities and roadmaps. Responsibilities: Design and build statistical, machine learning, and AI tools, alongside investigative data pipelines, for integration into existing or new reliability infrastructure. Apply data science to improve Google Cloud Platform ...

Responsibilities Define and drive the AI methodology roadmap for assigned Clinical AI programmes, spanning early and late phase clinical development, and aligning AI/ML priorities with clinical and business objectives. Lead, by matrix influence and scientific authority, the delivery of the most complex and high-stakes AI projects — from … programme level. Shape the AI evidence component for regulatory submission packages; act as the scientific and methodological voice in regulatory engagements involving AI/ML methods or innovative trial designs (FDA, EMA, MHRA). Evaluate and champion cutting-edge AI methodologies — including foundation models, agentic AI systems, generative patient models ...

threats. The organisation combines cybersecurity expertise, proprietary solutions, and technology partnerships to deliver tailored security services across various sectors. The organisation is seeking an ML Research Engineer to join its Innovation & Research team and help develop AI-powered security operations capabilities. This role focuses on building and evaluating … agentic systems, improving machine learning models and workflows, analysing performance, and researching security challenges such as adversarial attacks and offers the opportunity to work on cutting-edge AI technologies, influence product development, and collaborate with researchers, engineers, and security specialists. Responsibilities Designing and building evaluation frameworks ...

protection, data leakage prevention, and access controls.* Deploy AI services using Kubernetes, Docker, APIs, and cloud-native patterns.## **Your Profile*** Experience in AI/ML engineering, data engineering, software engineering, or applied machine learning.* Hands-on experience with LLMs, RAG, semantic search, or agentic AI systems.* Strong Python programming … skills.* Experience with ML fundamentals, deep learning concepts, embeddings, transformers, and LLM architectures.* Experience using LangChain, LangGraph, LlamaIndex, AutoGen, MCP, or similar AI frameworks.* Experience with vector databases such as Pinecone, Weaviate, Milvus, Qdrant, ChromaDB, or equivalent.* Experience with graph databases, knowledge graphs, or Graph APIs.* Experience building data ...

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 ...

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 ...

Trainer - Gloucestershire - Hybrid - Permanent 37.5 hours per week - SC Clearance Company cultures & job summary Our client is one of the UK's leading technical learning organisations, a powerhouse in digital and tech education with an impressive client base spanning government, defence, and some of the biggest names in industry. … experience with leading AI frameworks such as TensorFlow or PyTorch. Familiarity with cloud platforms including AWS, GCP, or Azure. Experience working alongside AI/ML engineers, data scientists, or other data professionals. Degree in Mathematics, Computer Science, Data Science, or a related field. MSc or PhD in Data Science ...

broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to Google's users and customers. In this role, you will design statistical and machine learning … rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities Design and build statistical, machine learning, and AI tools, alongside investigative data pipelines, for integration into existing or new reliability infrastructure. Apply data science to improve Google Cloud ...

Data Scientist Work across customer, claims, strategy and underwriting challenges, developing machine learning models and working on GenAI use cases and insight projects to drive business value Take ownership of varied analytical projects and build your career within an established and growing Data Science team Hybrid 80% homeworking … predictive models Experience with modern business intelligence platforms such as Power BI, Tableau or Qlik Sense is desirable though not essential, Experience with unsupervised ML techniques such as clustering is desirable Cloud, basic data engineering and deployment experience is desirable including Git, continuous integration and delivery, automated testing and model ...

people working on them are extraordinary. We're growing our data and AI capability and looking for someone who genuinely loves working with data, machine learning, and generative AI and is a data and AI leader, to solve hard business problems. If you want your analytical work … quality, and responsible AI principles. Experience with automation and analytics tooling - for example Power Platform, Power Automate, or equivalent. Relevant certifications in AI/ML, Power BI or Microsoft Azure is desirable. Knowledge of data science and machine learning is essential. Extensive experience is desirable. Experience working across ...

sharing What You’ll Do Design, build and maintain data pipelines and workflows that keep data accurate, timely and trustworthy Deploy and support production ML systems (including forecasting and LLM-driven workflows) with monitoring, versioning and CI/CD Maintain and improve an AWS-native data platform (e.g., S3, Redshift … impact Nice to Have Experience with AWS services commonly used in modern data platforms (e.g., Redshift, Athena, SageMaker, Lambda) Prior experience supporting analytics and ML teams with data modelling and reliable datasets Mentoring experience (formal or informal) Package Salary: up to £120,000 (dependent on experience) Private medical insurance Office ...

part of a highly collaborative team comprising data and AI engineers, data scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support advanced analytics and directly improve products across the entire business. This is a fantastic opportunity to work … coding and data practice standards, helping to improve engineering processes across the wider data community. Innovation: Experiment with emerging data, machine learning (ML), and generative AI technologies to drive business value. Architectural Partnership: Partner with data architects on the high-level design of data products. Agile Squads: Work ...

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 Summary As 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 Summary As 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 ...

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 Summary As 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. ...

full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine‐learning models or client‐ready insights/tools. This is a role for someone who enjoys variety and has a critical … Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into ...

full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine‐learning models or client‐ready insights/tools. This is a role for someone who enjoys variety and has a critical … Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into ...

capabilities or "engines" that integrate directly into Anaplan Applications to solve complex enterprise business problems. In this role, you will develop best-in-class ML models and pipelines to drive automated, actionable insights at scale. Beyond core development, you will act as a key technical partner for our customers. … will play a highly visible role in driving customer onboardings, getting hands-on with client data to customize and fine-tune our ML engines so they seamlessly adapt to complex business realities and specific customer needs. Your Impact Customer Onboarding & Engine Customization: Lead the technical deployment of our engines ...

full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine-learning models or client-ready insights/tools. This is a role for someone who enjoys variety and has a critical … Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into ...

full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine-learning models or client-ready insights/tools. This is a role for someone who enjoys variety and has a critical … Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into ...