2,401 to 2,425 of 3,531 Machine Learning Jobs in London

complex products, including web application architecture, APIs, data flows, and experimentation platforms. Familiarity with AI-driven systems, tools, or workflows, including applying AI/ML concepts to products in measurable, safe, and standards-aligned ways. Demonstrated ability to influence senior leaders and peer teams on cross-organizational priorities and trade ...

technology. Step into PredictX, where we don't just see AI as a fashionable bandwagon to hop on but have lived and breathed AI & ML in every aspect of our product for the past decade. As an Enterprise SaaS provider, we're revolutionising critical decision-making for many ...

paced scale-up where priorities shift week to week. Nice to have • Experience in construction, infrastructure or compliance sectors. • Background working alongside AI/ML engineering teams. • Understanding of ISO standards and regulatory frameworks, and how those requirements are incorporated into projects. How you'll work • Deeply inside ...

deciding quickly and reprioritising; versatile enough to switch context and pick up unfamiliar topics fast.Technical fluency to work credibly with software and AI/ML developers – no need to write production code, but you understand how AI products are built and shipped; experience supporting a software or data product, ideally ...

assisted document editor Track record Engineering depth, not just exposure. Four or more years building production software, with meaningful time spent on AI/ML systems at a venture‐backed startup or top tech firm -not as a side project, as the core of the work. You’ve shipped things ...

degree in Business Administration, Marketing, Economics, Engineering, Computer Science or a related discipline; an MBA or relevant advanced certifications (sales methodologies, negotiation, AI/ML literacy) is advantageous.· 8–12 years of progressive experience in enterprise sales, business development or strategic account management within a solutions-oriented B2B environment, with ...

focused on building KYC/FinCrime as a configuration-driven product, refactoring and building new scalable microservice systems, and increasing automation using ML/AI where it genuinely improves decisioning, review quality, and operational efficiency — with safe fallbacks and clear observability. As IC4, you'll shape architecture across the squad ...

systems as well as front-end systems to enable our advertisers seamlessly advertise on our platform. You will lead, guide and mentor software engineers, ML engineers, and software managers. This role is based in our London office with a hybrid setup, typically 3 days in the office, and will ...

limited to, Mainframe, Serverless, Containers, or Cloud Operations- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or StoragePreferred qualification - Experience interpreting data and making business recommendations- Experience identifying, negotiating, and executing complex legal agreementsAmazon is an equal opportunities ...

acting as an extension of an SRE manager/lead — operating with their judgment and authority when they're unavailable. -Familiarity with AI/ML, search, or knowledge platform infrastructure at scale. -Proven track record of raising team maturity improving processes, driving tooling adoption, and establishing operational consistency across newly ...

professional services sales or strategic account management roles.- Proven track record of selling cloud solutions within the energy sector including cloud adoption, AI/ML/Generative AI, modernisation and automation, supply chain transformation, etc..- Experience with commercial and legal negotiations, working with Procurement, Legal and Business teams.- Track record ...

hold technical teams accountable to quality standards before full traveler rollout.QualificationsExperience: 4–6 years in technical program management, QA management, or AI/ML product operations focused on system reliability and evaluation.AI Evaluation Expertise: Strong operational knowledge of AI/LLM testing methodologies, prompt evaluation, intent recognition accuracy ...

line-of-business stakeholders. Orchestrate proof-of-value and POCs that validate Lakebase's benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks ...

automatic allocation of riders to orders. Improve prediction quality and reliability across different markets, order types and delivery conditions. Productionise end-to-end ML solutions, moving from initial concept to shipping code that drives measurable impact across our marketplace. Collaborate in cross-functional squads alongside software engineers, data scientists … ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Minimum 3+ years of experience as an ML Engineer or Data Scientist, with a proven ability to write high-quality production code in Python Experience applying machine learning and algorithmic solutions ...

Experience using Codex, Claude Code or similar to ship working solutions (this may be in personal projects) Broad understanding of AI technology (LLM vs ML) and relevant patterns, approaches, etc Technical fluency to read API specs, use Postman and troubleshoot error scenarios Familiarity with Git version control ...

transparency and disclosure solutions. Experience leading technology workstreams within a larger program, such as digital transformation in a large enterprise. Familiarity with AI/ML solutions in regulated environments and the associated validation and governance requirements. Proven ability to work in global, matrixed organizations and influence cross‐functional teams. Skills ...

GenAI, and large-scale platform re-platforming.Our operating model is built around six functional pillars – Solution Architecture; Enterprise Architecture & System Design; ML, AI & GenAI; Data Architecture; Cyber Security; and Cloud & Infrastructure. Each team member develops deep expertise in one or more pillars, leading upskilling for colleagues so that ...

GenAI, and large-scale platform re-platforming. Our operating model is built around six functional pillars – Solution Architecture; Enterprise Architecture & System Design; ML, AI & GenAI; Data Architecture; Cyber Security; and Cloud & Infrastructure. Each team member develops deep expertise in one or more pillars, leading upskilling for colleagues so that ...

GenAI, and large-scale platform re-platforming.Our operating model is built around six functional pillars – Solution Architecture; Enterprise Architecture & System Design; ML, AI & GenAI; Data Architecture; Cyber Security; and Cloud & Infrastructure. Each team member develops deep expertise in one or more pillars and helps us build capability across the team ...

with real-time personalization, push notification pipelines, or cart-abandonment/trigger-based marketing systemsKotlin and Node/Javascript or Java/ScalaFamiliarity with ML model serving in streaming contexts (feature stores, real-time inference)Prior work at a data platform, CDP, or martech companyHow You'll WorkThis ...

availability environments (e.g. financial services).Experience in modern software engineering practices and languages (Python, Go).Experience building or enabling platforms that support AI/ML workloads.Experience enabling AI-augmented engineering teams, embedding AI-assisted tooling into the development lifecycle.What You’ll Get in Return:The opportunity to shape the future ...

availability environments (e.g. financial services).Experience in modern software engineering practices and languages (Python, Go).Experience building or enabling platforms that support AI/ML workloads. Experience enabling AI-augmented engineering teams, embedding AI-assisted tooling into the development lifecycle. What You'll Get in Return: The opportunity to shape ...

Principal Consultant at a B2B SaaS company, cloud provider, or top-tier consultancy serving financial institutions. You have designed architectures involving AI/ML or Generative AI workloads in production. You hold relevant certifications (e.g., AWS Solutions Architect Professional, TOGAF). You have experience responding to enterprise RFPs and security ...

analytics products and services to internal and external stakeholders along the whole value chain by using statistical methods, for example, GLMs/GAMs/Machine Learning.Lead the creation and adoption of innovative analytical techniques, building tools and embedding them to strengthen data-driven decision making for Pricing purposes.Development ...

York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!Why this role As a Machine Learning Engineer on our Applied ML team, you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models.You’ll apply your … startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!As a Machine Learning Engineer (Applied ML), you will:Plan and execute large-group projects that carry through from ideation to production.Bring cross-functional alignment across engineering, product and other disciplines. Mentor ...