351 to 375 of 6,120 Machine Learning Jobs in the UK

effective AI solutions. This is a hands-on technical leadership role, ideal for someone currently operating as a Lead AI Architect, Principal AI/ML Engineer, AI Engineering Lead, Principal Architect, AI Practice Lead or similar , and looking to take the next step into an Associate Director-level position. … public sector environments. Lead the development and deployment of production-grade Generative AI and Machine Learning solutions. Architect systems integrating LLMs and ML models into wider enterprise applications and workflows. Oversee the full technical lifecycle, from solution design and model selection through to deployment, monitoring and continuous improvement. ...

will also lead delivery across AI workstreams, mentor engineers, and support business development activities. Key ResponsibilitiesDesign, develop, and deploy production-grade AI and ML solutions, including GenAI and LLM-enabled systems. Shape AI solution architectures, selecting appropriate patterns (e.g. batch vs streaming, RAG, feature stores, model serving).Lead AI/… ML workstreams end-to-end, including planning, delivery governance, and stakeholder management. Mentor and support AI engineers, data scientists, and software engineers, fostering high engineering standards and collaboration. Implement secure, scalable deployment patterns aligned with governance, compliance, and Responsible AI expectations. Embed monitoring, evaluation, and continuous improvement across AI solutions. ...

safeguarding invaluable intellectual property while accelerating our innovation velocity. What you will doAdversarial Threat Modeling: Conduct cutting-edge threat modeling focused on AI/ML vulnerabilities, engineering a comprehensive risk management framework tailored to an AI-powered life sciences platform. Model Artifacts Protection: Partner with AI teams to establish … granular inventory, classification and protection framework for ML models' weights, code, and training data. Agentic AI & LLM Guardrails: Design and deploy scalable guardrails, robust sandboxing, and real-time monitoring controls for our extensive LLM ecosystem, including ADK, MCP, and autonomous agentic workflows. Collaborative Security Engineering: Partner with ML researchers ...

teamGenerative AI Innovation Center What is it? A program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to: Imagine new applications of generative AI to address your needs. Identify new use cases based on business value. Integrate Generative … internal/external stakeholders and Customers.- Ability to collaborate with global/enterprise account sales and delivery teams to drive adoption of AI/ML Solutions into top accounts.- Experience and passion for designing and developing innovative AI/ML solutions that leverage natural language processing, computer vision, statistical learning ...

build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. Your Impact Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. … production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. ...

financial problems Implement guardrails, validation frameworks, and monitoring systems for AI applications Data Engineering & Integration Design and build data pipelines to support AI/ML workflows, integrating market data, trade data, and research content Develop ETL processes for preparing training data and maintaining knowledge bases Create APIs and microservices … governance requirements Stay current with emerging AI technologies and evaluate its applicability to Global Rates business needs Contribute to the firm’s AI/ML community of practice and knowledge sharing initiatives Required Qualifications Education Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning ...

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, multimodal ...

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 ...

being written. Key Responsibilities Define and drive the AImethodologyroadmap for assignedClinical AIprogrammes, spanning early and late phase clinical development, and aligning AI/ML priorities with clinical and businessobjectives. Lead, by matrix influence and scientific authority, the delivery of the most complex and high-stakes AI projects — from problem definition … decision-making atprogrammelevel. Shape the AI evidence componentfor 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 championcutting-edgeAI methodologies — including foundation models, agentic AI systems, generative patient models, multimodal learning ...

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 ...

advanced algorithms and training techniques for Large Language Models (LLMs). LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute, CoT pipelines, tool use & API calling, etc. … demonstrated experience successfully managing software development teams in an agile environment. Experience spearheading technical development in a cross-functional setting, with responsibility for ML applications; close partnership with Applied Scientists, R&D groups, or similar. A portfolio showcasing significant contributions to technology innovation Excellent project management, organization and communication skills ...

production grade machine learning models, from problem framing and experimentation through to live deployment and monitoring. Technical depth: Apply strong statistical modelling, ML, and (where relevant) NLP/LLM techniques to solve real business problems, not just exploratory analysis. Experimentation and measurement: Design and run experiments (A/… model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender systems/personalisation, and increasingly, applied LLM/GenAI use cases, reflecting where ...

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 ...

software engineering concepts, plus 5+ years of applied experience building production Python systems, including web/API services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy, spaCy, PyTorch or TensorFlow). Demonstrated experience taking machine learning models from prototype to production - training, packaging … Knowledge of deep learning architectures (CNNs, transformers, sequence models) and of reinforcement learning concepts and their practical applications. Experience building self-service ML tooling - model catalogues, automated pipelines, feature stores, and explainability (SHAP, LIME) surfaced to non-technical users. Understanding of industry-standard validation and testing for LLMs ...

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 ...

ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide … enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact ...

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, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture ...

Machine Learning, and LLMs, helping deliver innovative capabilities that create real business value.What you’ll ownAssess, Design, build, optimize and deploy ML/AI models, Foundational models for real-world applicationsContinuously research and evaluate emerging AI technologies, models, Prototype new AI capabilities, and run proof-of-concepts.Collaborate with … high-impact AI opportunities.Stay at the forefront of advancements in AI, foundation models, and autonomous agents.What you’ll bring5+ years of experience in AI, Machine Learning, Data Science, or related fields.Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, and Hugging Face.Experience taking AI proof ...

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 ...

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 ...

colleagues and the wider business. Engage in company activities to grow your network and build a strong team culture. Demonstrable experience delivering AI/ML solutions in a professional environment, with a track record of taking projects from concept through to production. Strong technical knowledge, including expert‐level Python proficiency … experience with core data science and ML libraries (e.g., scikit‐learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark‐based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector ...

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 ...