276 to 300 of 3,468 Machine Learning Jobs in London

such as drug discovery, chemistry, biomedical research, clinical evidence, safety, and competitive intelligence.The team applies a broad range of data science methods, including traditional machine learning, statistical modelling, natural language processing, neural networks, information retrieval, knowledge graphs, semantic enrichment, and generative AI. These capabilities support products such … ontologies, taxonomies, controlled vocabularies, and metadata standards.Experience with NLP, entity extraction, entity linking, semantic enrichment, search, ranking, recommendation, or knowledge graph methods.Exposure to production ML systems, MLOps, data pipelines, and model monitoring.Work in a way that works for youWe promote a healthy work/life balance across the organization. ...

drug discovery, chemistry, biomedical research, clinical evidence, safety, and competitive intelligence. The team applies a broad range of data science methods, including traditional machine learning, statistical modelling, natural language processing, neural networks, information retrieval, knowledge graphs, semantic enrichment, and generative AI. These capabilities support products such as PharmaPendium … controlled vocabularies, and metadata standards. Experience with NLP, entity extraction, entity linking, semantic enrichment, search, ranking, recommendation, or knowledge graph methods. Exposure to production ML systems, MLOps, data pipelines, and model monitoring. Work in a way that works for youWe promote a healthy work/life balance across the organization. ...

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 ...

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 ...

proof of concepts, and help identify opportunities where AI can unlock new customer and business value. You'll work across Generative AI, Agentic AI, Machine Learning … LLMs , helping deliver innovative capabilities that create real business value. Location: London, United Kingdom What you’ll own Assess, Design, build, optimize and deploy ML/AI models, Foundational models for real-world applications Continuously research and evaluate emerging AI technologies, models, prototype new AI capabilities, and run proof ...

processing, robust data management practices, and modern analytics and AI capabilities.You should bring practical experience of data & analytics platforms, alongside an understanding of how Machine Learning, Generative AI and Large Language Models can be applied within enterprise solutions. This role is suited to someone who is comfortable shaping … strategic goals.Ensure seamless data flow across microservices- and API-driven architectures.Establish best practices for real-time and batch processing in hybrid cloud environments.Analytics, AI & ML EnablementDefine and promote principles and best practices to help clients leverage data using modern analytics technologies. Support the integration of Machine Learning ...

Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model (Inactive), Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai (Inactive), Pandas (Python) (Inactive), Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured ...

security architecture, serve as an ambassador for security design best practices and providing security architecture and design consulting as required. As an AI/ML Security Architect, you will play a critical role in supporting all of Liberty Global’ s AI-related efforts from a security standpoint and ensuring … systems within the organization. You will be responsible for developing, designing, implementing, and maintaining robust security standards, measures and controls for AI and ML applications, models, and data whilst working with the business on these initiatives.You will collaborate with cross-functional teams, including data scientists, engineers, and security professionals ...

crucial phase of growth and help change an industry for the better.About the teamGenAI Engineering sits within Motorway's Data and AI function, alongside Machine Learning and the Machine Learning Data Platform. We own the AI features that shape how buyers and sellers experience the marketplace … example.Represent your technical decisions directly to product managers and stakeholders, translating model behaviour into business consequence.About youYou've shipped AI or ML systems that real users depend on, and you've stayed close enough to production to know how they behave when they break.Strong Python, and SQL you genuinely use. ...

growth and help change an industry for the better. About the team GenAI Engineering sits within Motorway's Data and AI function, alongside Machine Learning and the Machine Learning Data Platform. We own the AI features that shape how buyers and sellers experience the marketplace, from … example. Represent your technical decisions directly to product managers and stakeholders, translating model behaviour into business consequence. About you You've shipped AI or ML systems that real users depend on, and you've stayed close enough to production to know how they behave when they break. Strong Python ...

develop a deep understanding of how Multiverse operates across our customer, learner and operational domains - and translate that understanding into rigorous, production-grade ML models that genuinely move the needle. To be successful, you’ll be comfortable getting hands‐on with pipelines and infrastructure - and unafraid of the statistical rigour … predictive, forecasting or optimisation models can have the greatest business impact, and prioritising accordingly Modelling & Statistical Analysis Designing, developing and iterating supervised and unsupervised ML models that predict, forecast and optimise across the business Applying rigorous statistical methods to ensure models are robust, unbiased and genuinely causal wherever causal claims ...

based applications, prompt engineering, fine-tuning, embeddings, and retrieval-augmented generation (RAG) for enterprise use cases. The ideal candidate has a strong foundation in machine learning and NLP, with hands‐on experience in modern GenAI tools and frameworks such as OpenAI, LangChain, Hugging Face, Vertex AI, Bedrock … LLMs, transformers, and GenAI architecture. Qualifications and experience we consider to be essential for the role: 5+ years of experience in Data Science/ML, with 1+ year hands‐on in LLMs/GenAI projects. Strong Python programming skills, especially in libraries such as Transformers, LangChain, scikit-learn, PyTorch ...

Collaborate with product and engineering teams to define API contracts, data models, and integration patterns for AI-powered features. Evaluate and recommend AI/ML technologies, frameworks, and models that align with enterprise requirements for security, scalability, and reliability. Lead architecture reviews and provide hands-on technical mentorship to engineering … optimisation mechanisms. Your Skills Experienced background in software architecture, highlighted by a dedicated and deep focus on designing, scaling, and productionising complex AI/ML systems. Deep expertise in LLM architecture, prompt engineering, and GenAI application design, paired with a strong understanding of multi-agent systems and autonomous decision-making ...

models in production with efficient use of compute. Develop and maintain cloud‐native architectures that enable reliable deployment and scaling of AI/ML workloads. Deliver robust, tested and high‐performance code in an agile environment, and work closely with ML engineers and domain experts to make the infrastructure … Passion for software design and commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Knowledge of command‐line tools and shell scripting. Knowledge of software engineering best practices, including continuous integration ...

optimization, and pharmacovigilance; Advise executive stakeholders on AI strategy and translate technical concepts into actionable business outcomes; Define and deliver enterprise-wide AI and machine learning adoption roadmaps aligned with business objectives; Create governance frameworks to meet regulatory and ethical requirements, including GDPR, FDA, and EMA; Prototype Generative … literature mining, safety monitoring, and patient programs; Collaborate with data engineers, clinicians, and business teams to tailor solutions to client needs; Deploy AI and machine learning models in production using MLOps and LLMOps practices; Use cloud platforms and data solutions to ensure scalability and operational integrity; Present data ...

business users. Your roleAs a Lead GenAI System Architect, you will solve our clients’ most challenging business problems by applying Generative AI and other ML techniques to design, deliver and operate robust and cutting-edge solutions. In this role, you may be expected to:Engage directly with senior client stakeholders … strong quantitative, computer science, or engineering backgrounds in a related field will also be considered.Extensive experience designing, developing, and deploying enterprise-grade AI/ML solutions, including experience managing technical teams and stakeholder relationships.Deep domain expertise in applying AI and Generative AI within a regulated or data-rich industry (e.g. ...

advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported.Job Responsibilities:Architect, develop, and productionize autonomous and assistive AI agents to enhance … Advanced degree in Computer Science, Data Science, Machine Learning, or related field.Experience building and deploying agentic AI applications in production environments.Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn.Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts.Hands-on experience with ...

advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. Job Responsibilities: Architect, develop, and productionize autonomous and assistive AI agents … Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands-on experience ...

ADAS systems. To deliver reliable data-driven technologies to millions of Toyota vehicles, we are solving complex real-world problems using large-scale data, machine learning, and state-of-the-art architectures for Perception, Prediction, and Motion Planning.WHO ARE WE LOOKING FOR The team is looking … Autonomy team. You will combine modern data approaches with safety standards while also considering cost efficient options. You will be an expert in deep learning and software engineering. Furthermore, you are proactive towards handling the processes required for production development and approach them by asking "What ...

questions are complex, the data is challenging and the outcomes genuinely matter. You'll work alongside experts from a range of disciplines, using machine learning, AI and advanced analytics to solve problems that have real-world impact. You'll be trusted to explore, experiment and develop practical solutions … science solutions, combining analytical thinking with strong engineering principles to build models that can be relied upon in production. Your work could involve: Developing machine learning models that solve complex operational challenges. Working with structured, unstructured and streaming data to uncover meaningful insights. Designing scalable data pipelines ...

impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based … decision-making across PlayStation. This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high-quality ...

impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science.Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based decision … making across PlayStation.This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high-quality measurement ...

trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.At Tower, every …/native protocols.Experience building distributed systems with message buses (Kafka, ZeroMQ) and asynchronous I/O (e.g. tokio)Knowledge of statistical/ML libraries and tooling (NumPy, pandas, scikit‐learn, PyTorch); experience shipping inference in production.Experience with cloud or on‐prem orchestration and scheduling (Kubernetes, Ray, HTCondor, SLURM).BenefitsTower ...