51 to 75 of 202 Machine Learning Jobs in the City of London

basic p.a. (+ double OTE and between 0.25 - 0.5% equity) Our client is a Series B, AI-driven FinTech building applied machine-learning products for enterprise financial institutions. Rather than incremental tooling, they focus on high-impact systems that directly influence revenue, risk, and decision-making across complex … Credible engaging senior financial, technical, and executive stakeholders • High ownership mindset with builder mentality • Consistent record of quota overperformance • Exposure to AI, data, or machine-learning-led products • Background selling into financial institutions • Experience shaping GTM strategy, not just executing it Why this role • Commercially proven AI business ...

ML Ops/Data Engineer Role Overview Were hiring an ML Ops Engineer/Data Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate … with clear SLAs, reproducibility guarantees, and observable behaviour. This is not a research role; it is a hands-on engineering role focused on making ML systems work reliably at scale. What Youll Work On ML lifecycle infrastructure Productionizing models: packaging, deployment, versioning, and rollback Designing CI/CD pipelines ...

PaymentGenes is proud to be partnering with a high-growth, international technology organisation to appoint a Senior/Lead Data Scientist (AI-Native, AWS ML Stack, Production-Focused) . This is a strategic hire within a business scaling real-world AI solutions — moving beyond experimentation into production-grade, AI-powered … systems embedded directly into enterprise workflows. If you are passionate about deploying scalable ML systems that deliver measurable commercial impact, this opportunity is for you. This role goes beyond model experimentation! You will design, deploy, and scale AI-driven solutions using modern foundation models and AWS-native machine learning ...

orchestration standards (Dagster or equivalent) Drive decisions across batch, streaming, and real-time pipelines Champion data modelling standards, semantic layers, and metric governance 🤖 AI & ML Enablement at Scale Architect data foundations supporting the ML lifecycle Design feature stores, embedding pipelines, and AI-ready datasets Enable MLOps workflows (data versioning, monitoring … preferred) Cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) Data modelling for analytics and AI use cases API integrations and ingestion design patterns AI/ML Infrastructure Feature engineering architecture ML pipeline and deployment workflows Experience supporting production ML systems Familiarity with embeddings, vector databases, LLM orchestration (desirable) Data observability ...

Senior GenAI Platform Engineer/Senior AI/ML Platform Engineer Hybrid – London A rapidly scaling AI innovator is searching for an exceptional Senior GenAI/AI‐ML Platform Engineer to play a pivotal role in shaping and advancing their next‐generation intelligence platform. This organisation is building high‐performance … systems design, high‐throughput data processing, and the creation of robust frameworks that enable rapid experimentation, safe iteration, and reliable productionisation of LLM‐ and ML‐driven features. This role is ideal for someone who thrives in fast‐moving environments, enjoys deep technical problem‐solving, and wants their work to have ...

Staff ML Engineer – AI/NLP/Search (London – Hybrid) £90,000 - £110,000 An industry-leading, AI-first technology platform in the intellectual property space is hiring a Staff-Level ML Engineer to lead all Data and NLP initiatives. This company was an early adopter of Large Language Models … building advanced, agentic AI workflows that autonomously answer complex research questions. The platform combines proprietary ML models with cutting-edge NLP techniques to deliver high-precision search and insights at scale. The Role As the technical lead for Data & NLP, you will: Own and improve search performance (precision & recall) Optimise ...

including Land Rover, Edward Jones & Kroger. The Hive platform is delivering novel intelligence at the intersection of quantitative social psychology, behavioral science & AI/ML to accelerate & transform how work is done. We’re looking for our go-to infrastructure partner to join our team and get on board this … Terraform, CloudFormation) across AWS (must have deep experience), GCP, or Azure. • Architect and maintain highly available, fault-tolerant systems that support our AI/ML workloads, web applications, and data pipelines. • Manage containerization and orchestration platforms (Docker, Kubernetes, ECS) to support microservices and ML model deployments. CI/CD & Automation ...

small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible … knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 Build fundamental models for education - solving the ultimate learning ...

Role: Full-time (Permanent Role) We are building a world-class AI research team focused on advancing next-generation agentic systems and intent-aware learning architectures. Our mission is to bridge cutting-edge research in large language models, reinforcement learning, and alignment with scalable, real-world production systems. … Computer Science, Machine Learning, NLP, or related field (exceptional MS candidates considered). 5+ years post-PhD (or equivalent industry experience) in ML research. Strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP). Demonstrated track record of translating research into production systems. Experience ...

GitHub Actions - CI/CD Firebase - Feature flags Cloudflare - CDN and DNS AI & Machine Learning Python BAML - LLM prompt engineering DSL Vertex - ML Ops Why Join Us This is a ground-floor opportunity to shape the product and the codebase from day one. You won’t just ...

want to build AI products used by millions of consumers globally? Have you deployed production AI systems that combine LLMs with traditional ML? Are you ready to work at the intersection of beauty, retail and applied AI? A globally recognised direct-to-consumer beauty brand is hiring an AI/… ML Engineer to join its London-based data team. The company is one of the fastest-growing prestige beauty brands worldwide and has built a strong in-house technology capability, using AI across customer experience, product recommendations and internal operations. Their data and AI team owns the full value chain ...

researchers, and data scientists. The work focuses on building scalable pipelines, enabling real-time analytics, and delivering high-quality datasets used for predictive modelling, machine learning, and systematic trading strategies. This role requires someone who combines strong technical data engineering capability with commercial awareness, capable of working directly ...

enhance automation, measurement, and personalization across global marketing campaigns on platforms. What You’ll Do Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools. Translate complex technical … Computer Science, Engineering, Data Science, or equivalent experience. 5+ years of product management experience, ideally in marketing platforms, data products and AI/ML applications. Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations. Excellent communication skills with the ability to influence cross ...

Biometrics platform, ensuring alignment with emerging industry standards including NIST FRTE and FIDO Alliance requirements Design and optimize Python-based AI/ML backend systems for biometric processing, with integration points across Ruby and Elixir microservices Collaborate with cross-functional teams to implement privacy-compliant solutions adhering to BIPA, CUBI … deployment using Docker and Kubernetes Proven track record of designing and implementing scalable distributed systems and microservices architectures General understanding of modern AI/ML frameworks (TensorFlow, PyTorch) and model deployment in production Deep understanding of software security principles, cryptography, and privacy-by-design methodologies Experience with agile development methodologies ...

cases aligned to business drivers Define delivery phases, resource plans, timelines, and risk frameworks 🏗 Design AI Architectures Translate requirements into scalable AI/ML solutions Design architectures covering: Model development Data pipelines MLOps and monitoring Cloud integration (Azure, AWS, or GCP) Validate feasibility with engineering and delivery teams ✍️ Lead Tender … search, embeddings) ✅ What We’re Looking For Proven experience in pre-sales, AI architecture, or technical bid writing Strong capability in scoping AI/ML programmes and estimating effort Deep understanding of: Machine learning (supervised & unsupervised) Generative AI & LLMs Embeddings, vector databases, RAG MLOps and model lifecycle management ...

ML Ops/Data Engineer Role Overview Were hiring an ML Ops Engineer/Data Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate ...

technical roadmap for their AI Platform. Must have strong AI project implementation experience. You will have strong and broad AI concepts, Machine Learning, and Deep Learning technical architecture experience. You will have strong technical solutions design experience. You must also have strong MS Azure and API experience. ...

satisfied Clear and effective communication skills, translating technical concepts for non-technical audiences Thrive in a fast-paced environment with a passion for continuous learning and growth Bonus points for: Proficiency with JavaScript, HTML, and CSS for building front-end applications Knowledge of large ERP systems (SAP, Oracle, Microsoft … Private healthcare/dental Meritocratic working environment and strong career progression opportunities A fast growth, exciting business with an open and inclusive culture Continuous learning and development Great offices and flexible working -- This position is open to candidates eligible to work in the United Kingdom. Sponsorship ...

MaaS offerings, including Qwen (Tongyi) model family, PAI platform, and GPU computing services - Develop and execute go-to-market strategies for AI/ML products tailored to the European market - Build a robust sales pipeline through proactive prospecting, industry events, ecosystem partnerships, and referral networks - Collaborate with solution architects … meetups, and industry forums across Europe Qualifications: Qualifications Required: - 3+ years of experience in business development, sales, or partnerships within cloud computing, AI/ML, or enterprise software industries - Demonstrated track record of achieving and exceeding sales targets - Strong understanding of AI/ML technologies, including large language models, generative ...

core business metrics, product telemetry, customer health signals and financial KPIs Create a scalable semantic layer for LLMs to query reliably Predictive Analytics and Machine Learning Deploy lightweight production ready models including churn prediction, usage forecasting, anomaly detection and upsell indicators Implement monitoring and automate downstream workflows using ...

site selection event on 5 May 2026. Desired Skills and Experience: Experience with ReactJS. Familiarity with geospatial data science or remote sensing. Knowledge of machine learning techniques and automation workflows. Interest in energy markets, commodities trading or environmental analytics. Exposure to satellite imagery analysis, AI applications or alternative … your development. You’ll also benefit from: Full‐time, hands‐on experience working directly with one of our leading clients Access to the Udemy learning platform Ongoing support and regular check‐ins from the Aubay team The potential to be considered for a future direct role with the client ...

across real assets, sustainability, and essential services . What you'll do Build and enhance our cloud platforms and data infrastructure Deploy AI/ML and GenAI solutions into production Drive automation and operational efficiency using AI and RPA Support development of client-facing digital platforms and dashboards Modernise systems ...

business stakeholders to accelerate value realisation across complex technology estates. Key Responsibilities AI Engineering & Delivery Design, build, and deploy production‐grade AI/ML solutions , including: LLM‐enabled applications (RAG, agents, copilots) Predictive models and intelligent automation AI services embedded into modernised platforms Own end‐to‐end AI lifecycle : discovery ...

will define data models, storage patterns, pipelines, and governance frameworks that support machine learning and analytics. Working closely with data engineers and ML engineers, you will ensure data is well-structured, accessible, secure, and scalable for AI use cases. Key Responsibilities Design and maintain data models and schemas … multiple sources. Establish data governance, quality, security, privacy, and compliance standards. Implement metadata management and data lineage for transparency and traceability. Collaborate with data, ML, and analytics teams to deliver AI-ready datasets and features. Monitor, optimise, and scale data platforms for performance, cost efficiency, and growth. Required Qualifications Bachelors ...

Requirements Current Head of AI, Head of Data Science, or Senior AI Lead ready to step up. Proven experience building and scaling AI/ML teams (0–10/0–15) . Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks … ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards . Experience in insurance or regulated financial services preferred. Comfortable presenting to and influencing executives . Collaborative, adaptable, and able to navigate complex stakeholder environments . To apply: Please reach out via LinkedIn ...