1,251 to 1,275 of 2,609 Machine Learning Jobs in London

frame the problem, build the solution, and drive it to real commercial impact, working directly alongside customer teams. Apply and adapt frontier ML, forecasting, and optimisation techniques — and increasingly agentic AI — to problems that don’t have a textbook answer. Turn what works on the ground into product direction … what’s possible in applied AI, and bring it back to the team. What you'll bring to the team Strong track record applying ML/data science to real-world commercial problems, ideally with depth in forecasting, optimisation, or supply-chain/pricing. The instinct to own outcomes ...

team of engineers. You will shape deployment, observability, and scalable machine learning systems across the platform. You will collaborate with ML Engineers, Data Engineers, Software Engineers, Data Scientists, Product Managers and stakeholders to deliver production-ready models and AI services that drive business value. The role adopts ...

global team with strong credit, quantitative, technical and change leadership capabilities. Lead initiatives that advance innovation, including the responsible use of Artificial Intelligence and machine learning in model development. Foster an inclusive environment where diverse perspectives, collaboration and continuous learning lead to better outcomes. Set a strong ...

team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise, and a culture that embraces modern ML tooling, including agentic workflows, to accelerate research iteration. The role exists to drive imaging data science: curate training-ready imaging datasets, design evaluation that distinguishes biological … will Curate training-ready imaging datasets across cell painting and brightfield assays. Drive evaluation design for imaging modalities in close partnership with ML and data scientists. Surface what models learn about cellular morphology, identify failure modes, and feed findings back into modelling decisions. Partner with wet lab assay teams from ...

from zero and progressing without a fully defined problem, perfect data or an obvious delivery path. Action oriented and evidence led, using focused tests, learning and iteration to deliver value quickly while protecting quality, scalability and responsible use. Desirable Skills Background in top-tier strategy or management consulting … technology transformation, product leadership or innovation, supported by hands-on delivery experience. Experience with generative and agentic AI, machine learning, predictive analytics, retrieval-augmented generation and enterprise knowledge systems. Knowledge of data architecture and readiness, cloud AI platforms, enterprise integration patterns, AI governance, security and responsible AI practices. ...

architecture—across a fast-moving, highly regulated landscape. Going beyond traditional project management, you are a technical enabler who partners directly with engineering and ML teams. You will navigate architectural roadblocks, secure sensitive drug discovery pipelines, and ensure leadership has the data-driven, operational visibility needed to protect a pioneer … research velocity without stalling innovation. Cross-Functional Influence: Exceptional ability to influence without formal authority, championing security as a core priority across engineering, ML, and business teams. Proactive Problem Solving: You anticipate architectural bottlenecks, untangle cross-team dependencies, and turn complex organisational friction into clear, actionable project plans. Translational Communication ...

restaging), generate multimodal synthetic experience at scale, and land that data in the same training stack we use for real driving. You sit between ML research and engineering: collaborating with scientists on architecture and conditioning, and with platform engineers on generation jobs, training artefacts, and how synthetic data is mixed … success as a MLE at Wayve, we’re looking for the following skills and experience: 4+ years in applied ML/research engineering, with a track record of training and shipping neural nets, not only operating data platforms. Strong Python and PyTorch (or equivalent); comfort with GPU training, debugging ...

experienced machine learning engineer to design, implement, and optimise AI-powered content understanding, summarisation, and recommendation systems. You will build scalable ML pipelines, deploy models to production, and monitor their performance in collaboration with product and engineering teams. The role involves shaping how Traveler experiences are personalised across ...

trends, and BI dashboard metrics into executive-ready status updates. Orchestrate AI & BI Roadmaps: Direct complex, cross-functional programs spanning Data Engineering, AI/ML, Product, and Traveler CX teams to ensure business intelligence initiatives land on time. Deliver Operational Momentum: Maintain project management rigor across data pipelines, predictive search … data strategy initiatives. BI & AI Competency: Strong command of business intelligence frameworks, visualization tools (e.g., Looker, Tableau), SQL, and practical understanding of AI/ML lifecycles (including Generative AI and predictive modeling). Cross-Functional Leadership: Proven ability to manage complex technical roadmaps involving data engineers, data scientists, product managers ...

Search Ltd – Senior Machine Learning Engineer in Central London. Hybrid working, full-time or contract. You will design, deploy and scale ML systems for demand forecasting and AI products, building end-to-end pipelines and multimodal models. You will collaborate with Applied Scientists, Data Engineers, PMs and business ...

lead complex data and analytics programmes across the Financial Services sector while mentoring talent, guiding clients and driving innovation across Cloud, AI and Machine Learning. You'll champion AI-enabled ways of working, helping clients and teams adopt modern approaches that improve productivity, accelerate insight and deliver measurable business … Financial Services organisations, helping clients unlock value through modern data and AI capabilities. Provide leadership and mentoring to data consultants, fostering technical excellence, continuous learning and the effective adoption of AI-enabled tools and modern delivery practices. Build trusted client relationships, shape data and AI propositions, and contribute ...

Full Time Contract: Permanent Location: ASU London, EC1V Jobs at ASU London At ASU London, we’re creating an environment where bold ideas, practical learning and global perspectives come together. Our team is growing, and we’re looking for people who want to make an impact in higher education. … London: ASU London, a UK-accredited higher education institution founded by Arizona State University, is focused on new and innovative models of teaching and learning in the UK. It builds on the work of The Engineering & Design Institute London (TEDI-London), co-created by Arizona State University in 2020. ...

clear technical vision and bring people with them AI Assurance, Responsible AI or AI governance Agentic AI or autonomous software engineering approaches AI/ML model validation and testing AI governance frameworks such as ISO/IEC 42001 or regulatory frameworks including the EU AI Act Building technical accelerators, frameworks … Understanding Agile, DevOps, CI/CD Experience Client‐Facing Communication ATS Optimization Keywords Hard Skills Quality Engineering Test Automation Performance Testing AI/ML Model Validation AI Governance Frameworks Agile Methodologies DevOps Practices CI/CD Delivery Models Technical Standards Definition Consultancy Experience Soft Skills Coaching Mentoring Stakeholder Management Influencing ...

Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront- from fighting financial crime to building smarter financial tools - and you may have the opportunity to join … your skills, experience, preferences and aligning with the business need! Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering ...

Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects … troubleshooting and tuningFamiliarity with the Hadoop and/or Spark ecosystemsHow you'll stand out Experience with PythonData-Science knowledgeBasic knowledge of JavaFamiliarity with ML-Ops practices and toolsWhat does the hiring process look like? #LI-Hybrid #LI-AN1Initial call with a member of our Technical Recruiting teamVideo call with ...

across the firm. Take the next step in your career. The roleWe are looking for exceptional engineers to help us build out a mature ML research and deploy pipeline as part of our ML Workflows teamThis is an exciting role. You will develop greenfield solutions to meet highly complex ML … varying requirements across different teams. You will bring industry experience to the table, helping us to apply best practice and drive improvements across our ML operations. The ideal candidate will have the following skills and experience: An appreciation of good architecture and MLOps best practiceThe ability to collaborate with ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster … automotive quality and safety standards (ASPICE, SOTIF, FuSa, ...) as well as the compliance regime around them (GSR-II, DCAS, ...)Experience with machine learning, LLMs and recent generative AI methods and architecturesStrong Collaboration Skills: Ability to effectively bridge technical and business perspectives, ensuring clear communication and alignment ...

AION is seeking a hands-on AI engineer with 6-8+ years of experience to join our enterprise AI platform team. You will own delivery of high-stakes customer projects, embedding at client sites ...

AI & Platform Engineering LeadLondon (Hybrid) Permanent Start ASAPUST is looking for an exceptional AI & Platform Engineering Lead to drive the evolution of our Enterprise AI Platform into a scalable, secure, cloud-native product adopted across ...

Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline. Minimum 2 years of experience in Generative AI, Large Language Models (LLMs), machine learning, AI platforms, cloud computing, software engineering, MLOps, solution architecture, or customer-facing technical consulting. Hands-on experience with modern AI technologies including LLMs … Proficiency in Chinese Mandarin is required to collaborate with China headquarters on product discussions, technical design, and cross-functional initiatives. Self-driven with strong learning agility, curiosity for emerging AI technologies, and the ability to thrive in a fast-paced customer-facing environment. Equal Employment Opportunity at Tencent ...

system to deliver perfect translations for the most demanding use cases. To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each … evaluation, non‐verifiable rewards, and human‐in‐the‐loop evaluation. A hands‐on builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production while staying grounded in product impact and real‐world quality. Ownership of a substantial research direction with strong execution, and experience mentoring ...

fast growing company. You have launched a consumer product within an EU marketYou're data-driven, and have a track record of collaborating with machine learning experts or data scientists to define key metrics, run experiments, and deliver business impact. You can systematically break down and solve complex … Monzo. You're intellectually honest about your work's performance, continually striving for improvement. You're a fast learner, humble and curious, and enjoy learning every day and sharing your knowledge and experience.ðWhat's in it for youðBase salary range for this role is dependent on experience + benefits ...

globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you. I am looking for an experienced and highly-driven expert in quant trading and market making to lead and grow a team … securities exchanges and trading venues Experience with high trading volumes Experience of delivering multi asset trading strategies (alpha signals, analytics, strategy simulations) Experience in machine learning, signal research, back testing & performance optimisation Quant modeling Trading strategies Programming – Python, C++, Java, complex event processing You will be joining ...

inspired in building an extraordinary place to work. About the role Are you a strategic tech leader who treats service delivery like a precision machine? We are seeking a visionary Head of IT Service & End User Computing (EUC) to define, build, and govern our core service delivery and workplace … strict global inventory standards while ensuring compliance with data privacy laws like GDPR and POPIA. AI Enablement & Platform Delivery: Operationalize cutting-edge AI capabilities, machine learning, and interactive virtual agents to shorten response times and deflect manual tickets. Global Operations & Financial Efficiency: Lead multi-market service desk teams ...

platforms, cloud infrastructure, open‐source stewardship, and generative AI innovation. For over a decade, Bloomberg has been at the forefront of applying AI, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms, which … trustworthy foundation for the next generation of AI‐powered products. Why This Matters Agentic systems introduce new infrastructure challenges beyond traditional software and machine learning platforms. As AI systems become capable of autonomous action, tool use, multi‐agent collaboration, and long‐running workflows, organizations require new infrastructure ...