501 to 525 of 2,701 Machine Learning Jobs in London

introduced into a solution. You have a proven track record of successfully designing and deploying large-scale infrastructure on which significant AI/ML solutions operate in production and demonstrably deliver business value — not just systems that perform, but systems that move the needle for the organizations they serve. … build upon. As a recognized expert across at least one hyperscaler cloud — and conversant across several — you bring deep, current knowledge of AI/ML services, accelerators, interconnects, and cost levers, and you continuously scan the horizon to identify promising emerging technologies and judge where and when they belong ...

Creandum Advisor LLP is looking for a Senior Staff Machine Learning Engineer to build and scale ML systems that ensure safety, policy enforcement, and compliance across Spotify’s content. This role involves defining machine learning strategies, developing automated decisioning systems, and collaborating across teams to maintain … high standards of content quality. The ideal candidate should have strong experience with production-grade ML systems and modern frameworks like PyTorch and TensorFlow. The position offers flexibility to work from home while requiring occasional in-person meetings. #J-18808-Ljbffr ...

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 ...

Title: ML Scientist (Molecular AI) Location: London (Hybrid) Salary: Up to £100,000 DOE A well-funded life science technology company is looking for an exceptional Machine Learning Scientist to develop next-generation AI methods for molecular and protein discovery. This is a research role with real engineering ...

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 ...

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 ...

governance. What you'll be doing: AI Opportunity Identification: Actively research and identify high-impact opportunities for leveraging agentic technologies and broader AI/ML capabilities across our media business operations and client offerings. Concept Prototyping & Validation: Work hands-on with cross-functional teams to prototype, test, and validate … media and advertising industry, including its key players, workflows, and operational challenges. Familiarity with common media production tools and workflows. AI/ML Foundations: Demonstrated interest and foundational knowledge in Artificial Intelligence and Machine Learning concepts, including Generative AI and/or agentic systems. You should be excited ...

expert in at least one hyperscaler cloud (such as AWS, Azure, or Google Cloud), you bring authoritative knowledge of that platform's AI/ML services, accelerators, networking, and cost levers, and apply it to deliver best-in-class solutions. Beyond design, you set technical direction and standards, lead … mentor engineers and architects, partner with clients and stakeholders to shape the infrastructure roadmap, and are ultimately accountable for delivering AI/ML infrastructure that meets business SLAs, controls cost, and scales to enterprise and frontier workloads. THE WORK Own the end-to-end architecture and design of optimized compute ...

ensure best practices in modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions … collaboration, driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting (preferred). Understanding ...

culture. Ensure best practices in modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making … advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading and landing successful Data Science projects ...

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 ...

technical expert in machine learning and AI. In this hybrid role based in London, you will guide customers in implementing production-grade ML applications and become a key player in leveraging Databricks' technologies. The ideal candidate will have strong data science and machine learning expertise, excellent … communication skills, and experience in a customer-facing technical role. A significant opportunity to contribute to the ML community and projects awaits. #J-18808-Ljbffr ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … coordinate multi-step diagnostic and remediation tasks. AIOps & Intelligent Observability: Ability to integrate traditional observability stacks (e.g., Datadog, Prometheus, OpenTelemetry) with AI/ML models to automate root-cause analysis, anomaly detection, and semantic log clustering. Self-healing Infrastructure Engineering: Experience designing closed-loop, self-healing systems that autonomously execute ...

Product Data Scientist to join our Insights team to support our Shipping Team. You’ll partner closely with product, operations, engineering, and machine learning to deliver insights, drive experimentation, and shape how every item moves from seller to buyer. This role sits at the intersection of technical depth … first consumer products Experience in shipping, logistics or marketplace unit economics Experience working with machine learning teams or embedding data science in ML-powered product features Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle ...

build scalable, secure, and reliable machine learning services while driving innovation and operational excellence. ResponsibilitiesLead and grow a team of full-stack ML engineers, QA engineers, and a UI developer. Define technical direction for AI-enhanced services, internal tools, and platform components. Drive architecture for model deployment pipelines … inference APIs, and data and feature systems. Ensure high-quality delivery across code quality, testing, documentation, and observability. Partner with Product, Architecture, and ML Research teams to prioritise and scope work. Foster a culture of modern AI development practices, including LLM tooling, MLOps, and automation. Set and enforce DevOps ...

scalable, secure, and reliable machine learning services while driving innovation and operational excellence. Responsibilities Lead and grow a team of full-stack ML engineers, QA engineers, and a UI developer. Define technical direction for AI-enhanced services, internal tools, and platform components. Drive architecture for model deployment pipelines … inference APIs, and data and feature systems. Ensure high-quality delivery across code quality, testing, documentation, and observability. Partner with Product, Architecture, and ML Research teams to prioritise and scope work. Foster a culture of modern AI development practices, including LLM tooling, MLOps, and automation. Set and enforce DevOps ...

Professional), AWS Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirableResponsibilitiesOversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectivesManage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product incrementsFacilitate quarterly planning … product rollouts, user feedback collection in the product management cycleIdentify and mitigate delivery risks proactivelyTrack quality metrics and drive continuous improvementPartner with data science, ML operations, and front-end teams to optimise release processes and reduce time-to-marketEnsure alignment of delivery with product vision and business strategyAbout The TeamMoody ...

risk, counterparty credit risk, regulatory risk capital and derivative valuation adjustments. Using the latest analytics and technology such as a fully vectorized pricing library, Machine Learning, and a Big Data stack for scalability, our products and solutions are used by the largest tier-one banks to smaller niche … historical market data, pricing services, scenario generation, or analytics input validation. Experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics. CFA, FRM, CQF, or other relevant professional qualification. About S&P Global Market Intelligence ...

risk, counterparty credit risk, regulatory risk capital and derivative valuation adjustments. Using the latest analytics and technology such as a fully vectorized pricing library, Machine Learning, and a Big Data stack for scalability, our products and solutions are used by the largest tier-one banks to smaller niche … historical market data, pricing services, scenario generation, or analytics input validation. Experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics. CFA, FRM, CQF, or other relevant professional qualification. About S&P Global Market IntelligenceAt ...

critical thinking and human judgement. Support the growth of Capco's UK and Global Data Practice by contributing to innovation across analytics, AI and machine learning, sharing knowledge and encouraging modern, AI-enabled delivery approaches. What We're Looking ForStrong ability to acquire, manipulate, analyse and interpret large … consultancy. Knowledge of NoSQL databases, cloud analytics platforms or modern data architectures. Experience supporting programme delivery and large-scale data transformation initiatives. Understanding of machine learning, AI-enabled analytics, ESG analytics or responsible AI principles. A collaborative mindset with a passion for continuous learning, innovation and delivering ...

complex asynchronous training workflows. We're looking for a systems‐level engineer who wants to work on the gnarly, foundational problems of a production ML platform. You'll support a system that handles a massive volume of inference requests and orchestrates unattended model training across a diverse landscape of model … about building the infrastructure that makes it all possible. Our core platform is written in Rust for performance, correctness, and fearless concurrency. ML models and services are primarily in Python. If you're intrigued by the challenges of the software/hardware interface, OS‐level optimization, and building robust, multi ...

efforts to harden our systems, ensuring our groundbreaking AI is built on an unshakeable base, working closely with the research team and the Applied ML teams to ensure the infrastructure is stable, reliable and can operate with more data and larger models as we grow. What You Will DoDevelop … cycles. Deliver high-quality and well-tested user-focused features. Skills and QualificationsEssential: Proven experience in architecting and managing large-scale AI/ML workloads in a production environment. Expertise in cloud compute design, specifically within Google Cloud Platform (GCP).Orchestration: Significant experience deploying and managing complex workloads within Kubernetes ...

findings to inform team technical decisionsDocument designs, implementation details, and tradeoffs to support maintainability and knowledge sharingSupport scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainabilityPartner with operations stakeholders to understand workflow pain points and translate them … concepts to technical and non-technical audiencesCollaborate effectively on multi-disciplinary teams and incorporate feedback into your workPreferred Qualifications, Capabilities, and SkillsApply AI and machine learning concepts with a strong interest in applied AI productizationBring experience from academic work, projects, internships, or roles applying AI in finance, operations ...

system end to end, covering roadmap, modelling strategy, release planning, measurement and production performance. Lead and develop a team of four data scientists and ML engineers, setting priorities and maintaining high technical standards. Own the full product lifecycle for AI products, from opportunity identification through launch, monitoring and iteration. Partner … learning or applied AI, ideally including production systems at significant scale in an adtech environment. A track record of owning AI/ML products end to end, from initial idea through production release and measured business impact Experience leading, coaching or managing data scientists, ML engineers or closely ...

inform team technical decisions Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability Partner with operations stakeholders to understand workflow pain points and translate … technical audiences Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work Preferred Qualifications, Capabilities, and Skills Apply AI and machine learning concepts with a strong interest in applied AI productization Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets ...