1,626 to 1,650 of 2,750 Machine Learning Jobs in London

will combine deep expertise across the Snowflake ecosystem—including Snowflake Data Cloud, Cortex AI, Snowpark, Native Apps, Data Sharing, Data Engineering, AI/ML, and Modern Data Platforms—with a strong consulting mindset to help clients modernize data estates, unlock AI-driven insights, and deliver measurable business outcomes. ...

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 ...

imperfect conditions. Hands-on experience building AI/LLM-powered automation workflows - either in a business or personal contextNice to haveExperience analysing AI/ML-powered product features. Exposure to HR tech, talent acquisition, or workforce data. Beamery is for Everybody. Diversity and open expression are fundamental to us. ...

will combine deep expertise across the Snowflake ecosystem—including Snowflake Data Cloud, Cortex AI, Snowpark, Native Apps, Data Sharing, Data Engineering, AI/ML, and Modern Data Platforms—with a strong consulting mindset to help clients modernize data estates, unlock AI-driven insights, and deliver measurable business outcomes. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 … safety-critical systems, validation, and relevant industry standards (e.g. ISO 26262) Applied machine learning experience, or experience developing systems that integrate with ML components This is a full-time role based in our office in London, England. At Wayve we want the best of all worlds ...

cutting-edge technology company in the United Kingdom seeks a Staff Machine Learning Engineer to architect AI systems for the multi-scale … design of physical technologies. This role involves setting high technical standards, delivering impactful AI projects across various domains, and ensuring the implementation of innovative ML architectures. Candidates should have significant experience or a PhD in relevant fields, a passion for AI, and a desire to contribute to transformative scientific advancements. ...

Machine Learning Engineer to lead the development and deployment of cutting-edge AI systems for diverse clients. You’ll design production-grade ML software, scalable infrastructure and robust pipelines that meet ethical standards. This cross-functional role blends technical depth, engineering leadership and client-facing skills, with mentoring ...

seeking a Senior Machine Learning Infrastructure Engineer to enhance and manage the infrastructure for model training and deployment. You will collaborate with ML engineers and research scientists to ensure effective model training at scale. The ideal candidate should have at least 5 years of experience in ML infrastructure ...