2,376 to 2,400 of 2,755 Machine Learning Jobs in London

Design: Lead the data platform architecture across the cloud estate, designing scalable lakehouse patterns, real-time and batch pipeline architectures suitable for AI/ML infrastructure. Person Specification Data architecture expertise across multi-environment estates: proven experience designing and governing data architectures that span cloud, hosted data centre … data architecture standards, design patterns, and principles at an enterprise level. Prior involvement in architecture governance forums (TDA, ARB, or equivalent) essential. AI and ML platform architecture: experience designing AI/ML data infrastructure - including feature stores, model training pipelines, inference serving, and GenAI/RAG architectures grounded in proprietary ...

your teams A track record of understanding, assessing, and embracing new tooling and trends within the software industry Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents Successfully led modernisation and replatforming efforts to align legacy … deadlines Advising clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Driving innovation by proactively surfacing new technical approaches and product solutions Leading ...

recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. The Role The Principal ML Infrastructure Engineer will extend and operate the infrastructure that powers our research model training, fine-tuning, and serving pipelines. You will be embedded within … Research function, partnering directly with ML engineers and research scientists to ensure they can train Large Physics Models efficiently and reliably at scale. Team Context In this role, you will be vertically embedded in Research, working daily with: Research Scientists who determine the model architectures and methods ML Engineers ...

obsession for data driven quality. Desirable/nice-to-have Rust experience alongside C++ and Python. Slurm or other cluster scheduler expertise. Familiarity with ML/Deep Learning frameworks. Prior finance or market‐data experience, including low‐level market connectivity. GPU programming experience. Historical network/packet processing (telco ...

Platform Engineer London Company Overview Model ML is the AI workflow builder transforming how major financial institutions produce and validate client‐ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become … timelines will change, priorities will most likely shift. Be prepared to sacrifice your work‐life balance in exchange for joining an incredible journey and learning a lot along the way. Requirements Technical stack : Azure (also AWS is a plus), Terraform, AKS (Kubernetes), Docker, GitHub Actions. Observability : Experience implementing logging ...

communicating across disciplines — you can hold your own in conversations with clinicians, members, statisticians, product managers and experts by experience. Familiarity with data pipelines, ML tooling or applied AI is a plus; deep ML expertise is not required. Comfortable with ambiguity and the pace of a growing startup. Based ...

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms ...

breadth and depth of expertise. We're at the forefront of change and you'll have an opportunity play a part in this while learning from the best people in the market! Accountabilities –Challenge the status quo in insurance pricing by developing innovative pricing solutionsOwn … predict claims outcomes, fraud and other risk KPIsSupport the development of junior analysts within the teamSkills Knowledge & Experience -Proficiency in Python, SQL, Azure ML, Git, Azure Cloud Services (Essential)Multiple track record of delivery of ML projects from EDA to deployment, post deployment evaluation and model refreshing. (Essential)Work accurately ...

scalable, robust services in production environments, not just prototypes.* Hands-on experience working with Large Language Models (LLMs), Generative AI and modern AI/ML frameworks; current on the AI tooling landscape and able to keep up as it evolves.* Expertise in Python in AI/ML frameworks and libraries. … Demonstrated ability to understand and engage with a complex business domain — capable of sitting with non-technical professionals, learning how they work, and translating that understanding into production tools. Prior exposure to financial markets, broking, trading or other front-office environments is a strong plus.* Experience managing technical priorities ...

currency) across domains AI, Analytics & Data Products Define the architecture for data products – curated, well‐documented datasets served to analytics, reporting, and AI/ML consumers Design feature stores and data pipelines that support AI/ML model training and inference for use cases such as FX pricing, payment anomaly … context), Glue, Lake Formation, IAM, VPC Data Governance Data lineage, cataloguing (Apache Atlas/Collibra/Snowflake Horizon), GDPR, BCBS 239, MDM AI/ML Data Query & Performance SQL optimisation, clustering keys, partitioning, query profiling, cost‐based tuning Data Landscape The Data Architect will work across the following technology landscape. ...

job. Our customers are asset managers, banks, and financial data firms who need reliable data extracted from documents that were never meant to be machine‐readable. The role You’ll be a data-obsessed super‐IC managing a fleet of AI agents. This role is for someone … intensity is high, learning is faster) Founders Aleksi (CEO) — Cambridge engineering + ML. Co‐founded Secondmind, founding team at Sylvera. Previously worked on ML with Carl Rasmussen at Cambridge. Krista (CCO) — Former Head of Market Intelligence at Climate Bonds Initiative. Deep sustainable finance and capital markets expertise. Small team ...

merchandising works across Expedia Group. Minimum Qualifications: 10+ years of product management experience building consumer or platform products, including meaningful work with AI, ML, or technically complex systems. Strong technical depth and experience partnering with engineering and DS/ML teams; comfortable discussing agent architectures, system design, data flows, tradeoffs … them when agents act on live customer experiences, including regulatory constraints on pricing display and urgency messaging. Background in software engineering, data science, or ML (professional experience or equivalent technical projects), even if you have primarily worked as a PM. Experience building frameworks, tools, or platforms adopted by multiple teams ...

merchandising works across Expedia Group. Minimum Qualifications: 10+ years of product management experience building consumer or platform products, including meaningful work with AI, ML, or technically complex systems. Strong technical depth and experience partnering with engineering and DS/ML teams; comfortable discussing agent architectures, system design, data flows, tradeoffs … them when agents act on live customer experiences, including regulatory constraints on pricing display and urgency messaging. Background in software engineering, data science, or ML (professional experience or equivalent technical projects), even if you have primarily worked as a PM. Experience building frameworks, tools, or platforms adopted by multiple teams ...

operationalise SLOs, SLIs, and error budgets across platform services. Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters. Partner with ML, platform, and software teams to establish clear production readiness standards. Incident Response & On-CallParticipate in a 24/7 on-call rotation as first-line … skillsProven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems. Experience operating GPU-backed environments or large-scale ML infrastructure. Experience running model training or inference pipelines in production (MLOps).Strong Kubernetes experience, including operating production clusters. Hands-on experience running production workloads ...

managing engineers in a fast-paced, high-growth environmentExcellent communication skills in English. Nice to Have'sFluency in additional European languagesExperience with AI/ML infrastructureBackground in enterprise security and compliance. What We OfferRemote-flexible work from anywhere in EMEA6 weeks of paid vacationEquity/stock optionsCompetitive salaryCo-working stipendAnnual … learning allowance ($2,000)Full-Time Employees at Cohere enjoy these Perks: A weekly lunch stipend of $75/75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme.100% Parental Leave ...

fast-paced, high-growth environment Excellent communication skills in English. Nice to Have's Fluency in additional European languages Experience with AI/ML infrastructure Background in enterprise security and compliance. What We Offer Remote‐flexible work from anywhere in EMEA 6 weeks of paid vacation Equity/stock options … Competitive salary Co‐working stipend Annual learning allowance ($2,000) Full-Time Employees at Cohere enjoy these Perks: A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K ...

journeys. You will be responsible for defining strategy, prioritising investments, and delivering measurable outcomes across document verification capabilities, working closely with Engineering, AI/ML, Product Design, Operations, and Growth teams. This is an excellent opportunity for someone who wants to help shape the future of digital identity, as identity … Document Verification portfolio. Analyse customer journeys and product performance to identify opportunities to improve verification outcomes. Partner closely with Engineering, AI/ML, Data Science and Design to deliver innovative document verification capabilities. Drive improvements in verification accuracy, customer conversion, operational efficiency and fraud prevention. Work closely with Growth, Customer ...

looking for a Lead AI Engineer (Senior/Principal Consultant) to join our Technology Delivery Team. You'll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader … native AI deploymentExcellent communication, problem-solving, and project management skills in agile environmentsBonus Points ForExperience with agentic frameworks (e.g., LangChain, LlamaIndex)Experience in deep learning frameworks and front-end developmentFamiliarity with Langfuse, Langsmith, or other LLM observability toolsUnderstanding of Model Context Protocol and bias/hallucination mitigation techniquesPrevious success ...

Knowledge Management & AIDo you have at least 8+ years of product management experience Do you have a wealth of e xperience with AI/ML products, especially generative AI, RAG, or agentic workflows Join us to shape how researchers build on their own knowledge with AI.Location: UK (London) or Amsterdam. … whose current focus is project spaces. We're looking for a Senior Product Manager with deep product judgment, hands-on experience with AI/ML products (generative AI, RAG, or agentic workflows), and the instinct to work from customer evidence alongside data science. UK (London) or Amsterdam ; remote -first with ...

Strong software engineering background (Python or similar), with a track record of building production systems - not just prototypes. Hands-on experience with AI/ML systems (LLMs, classifiers, decision models, or similar). Experience integrating APIs and working with distributed systems. Experience designing prompts, retrieval pipelines, or ML inference workflows. ...

data quality metrics, including coverage, freshness, accuracy, enrichment value, and signal-to-noise ratio. Translate intelligence needs into technical requirements for data scientists, ML engineers, and pipeline developers. Collaborate with Threat Intelligence and engineering leadership to identify and deliver high-impact data and analytics capabilities. Prioritize ingestion and analysis improvements … Bring: Data-Driven Product Thinker with experience managing large-scale data or analytics systems. Strong Technical Acumen, able to engage with data pipelines, ML workflows, and backend architecture. Experienced Cross-Team Leader, skilled at aligning multiple engineering and data teams around shared goals. Familiar with Threat Intelligence or Cyber Data ...

financial industry, specifically in Back Office solutions. Experience working with Sales, Account Management, Product and Technology teams. An awareness of Artificial Intelligence and Machine Learning. An awareness of SaaS capabilities (IBM, AWS, Azure, GCP, etc.). Collaboration skills including working in complex matrix organizations. Applicants for this role should … Encouraging professional development opportunities is a core part of our culture. Broadridge provides educational opportunities, including formal classes, training programs and events. To enable learning in our hybrid working model, Broadridge has redesigned all development programs for 100% virtual delivery. Our associates have access to 8,500+ online courses ...

Product Manager II, Knowledge Management & AI Do you have 8+ years of product management experience? Do you have hands-on experience with AI/ML products, especially generative AI, RAG, or agentic workflows Join us to shape how researchers build on their own knowledge with AI. Location: UK (London … frame a problem space, defend a trade-off under questioning, and articulate the user outcome, not just the feature list. Experience with AI/ML products, especially generative AI, RAG, or agentic workflows. This is central to the role. Proven delivery leadership within a squad: you keep a backlog healthy ...

with 5+ years in AI/data consulting. Proven experience in leading large-scale AI/data transformation initiatives. Deep knowledge of AI/ML, big data platforms, and data governance. Strong business acumen and consultative selling skills. Master's/PhD in a relevant field (MBA preferred); certifications …/ML or cloud are a plus. Why you will love this job: Be at the forefront of GenAI innovation in the Telco space. Influence strategic decisions and shape the future of digital transformation. Work with global teams and top-tier clients on impactful projects. Please ignore any references ...

operation in mind. Write maintainable, performant, well-tested Python code (and where appropriate Kotlin or Python), and review the work of others. Partner with ML engineers and data scientists so the platform supports feature engineering, training pipelines and online inference at scale. Set the data quality, schema evolution and contract … data platform behind our sanctions, PEP, adverse media, transaction monitoring, fraud and customer risk products. You will lead the architecture that supports ML, data science, and product teams ship new detection models and risk signals in days rather than quarters. You will design the data foundations that make agentic ...