Top Machine Learning Jobs in London

Build secure, scalable AI/ML platforms and applications to productionize research. Collaborate with AI researchers and data scientists, implement CI/CD and IaC, support experimentation environments, automate remediation, mentor junior engineers, and promote secure, responsible AI development practices.

Define and lead AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI. Lead and develop teams to deliver production-ready AI systems (LLMs, RAG, semantic search, embeddings), establish evaluation and responsible AI frameworks, and influence cross-functional stakeholders to align roadmaps and drive measurable product and business outcomes.

Lead corporate actuarial activities including business planning, performance monitoring, and portfolio optimisation. Provide actuarial insight for pricing, reserving and strategy, develop tools and frameworks, collaborate with underwriting, risk and finance, ensure governance and compliance, and manage and develop a team.

Lead architecture and delivery of enterprise-scale data and AI projects on Google Cloud. Provide pre- and post-sales technical advice, design and migrate cloud solutions, mentor architects, collaborate with partners and sales, define best practices, and build next-generation ML products and scalable production-grade platforms.

Manage and grow a portfolio of existing enterprise and mid-market customers, driving upsell and cross-sell revenue. Build trusted relationships with CISOs and security leaders, develop account plans, collaborate with partners and technical experts, present Darktrace AI-driven security solutions, and represent the company at events.

Work with sales teams and partners to demo Snowflake's AI Data Cloud, run proofs of concept, design solutions, and close enterprise deals. Engage executives and technical audiences, position Snowflake against competitors, and collaborate with product, engineering, and marketing to improve offerings.

The Senior AI Transformation Consultant works with clients to identify AI opportunities, define robust business cases, and oversee AI project deployments, ensuring solutions deliver value.

One-year, full-time fellowship supporting design, delivery, and evaluation of interventions for smallholder farmers. Duties include research and analysis, pilot design, field implementation, M&E, and cross-team collaboration with heavy mentorship and rotating in-country placements.

Seeking a Research Scientist to develop AI models for enhancing 3D reconstruction processes, requiring strong skills in computer vision and neural reconstructions.

As a Research Intern at Atla, you'll conduct machine learning research, contribute to product development, and output publications and datasets while collaborating with engineers on projects involving iterative model improvement and evaluation systems.

The role involves developing new AI model architectures and adapting existing models, conducting experiments, and contributing to technical strategy in a high-growth research environment.

The Reserve Engineer provides technical support for robotic hardware, resolves hardware failures, and assists with robot deployments while ensuring excellent customer service.

The Managing Consultant will develop AI-driven transformation strategies for financial services, overseeing client engagements and business development while leveraging industry connections and expertise.

Design and train machine learning solutions for digital identities, focusing on areas like deepfake detection and document understanding, while collaborating with product and engineering teams.

Lead delivery of advanced analytics and data science for global clients, develop scalable AI-enabled analytics products (prediction engines, experimentation, MMM), embed analytics into client decision-making, and build capability across teams through playbooks and thought leadership.

Own the full sales cycle across EMEA (and MENA): build pipeline, close and launch deals, develop go-to-market strategy, expand regional footprint, cultivate long-term client relationships, represent Jampp at industry events (20%+ travel), collaborate cross-functionally, and lead local initiatives to grow mobile programmatic business.

Senior individual-contributor responsible for net and gross revenue retention across enterprise accounts, driving renewals and expansions with compliance/AML stakeholders, and acquiring one strategic channel partner end-to-end (market mapping, negotiation, onboarding). Acts as customer voice to product and leads cross-functional account strategy, risk mitigation, executive reviews, and partner enablement.

Lead global transformation of Citi's Non-Financial Regulatory Reporting by defining strategy, delivering an AI-enabled Regulatory Intelligence Platform, executing a unified Target Operating Model, driving automation and data quality, managing global teams, and ensuring robust governance, risk controls, and senior stakeholder engagement.

Apply and develop statistical and ML methods for genomics and multi-omics data to support target discovery and validation. Build scalable, reproducible computational workflows, integrate human genetics with OMICs, collaborate with experimental and ML teams, communicate results, and contribute to scientific outputs.

Lead and grow a Fraud Operations team owning strategy, investigations, chargeback management, KPIs, governance, and cross-functional collaboration with Product, Payments, and Finance to reduce financial exposure and improve detection.

Lead technical pre-sales efforts for UK accounts: present Snowflake to technical and executive audiences, build demos/POCs, develop technical champions, collaborate with sales, partners, product and engineering, and represent Snowflake at events to drive deal wins and implementations.

Work with quantitative researchers and portfolio managers to build, maintain and productionise quantitative trading frameworks and strategies, develop tooling and ML pipelines, improve engineering standards, and deliver robust production solutions for systematic trading.

Build and scale AI-driven backend systems and infrastructure for retail intelligence: develop the AI chatbot, agents, tooling and MCP integrations, evolve data processing across AWS and bare metal, own features end-to-end, and mentor team members.

Lead the development and optimization of machine learning algorithms, owning the end-to-end model development and collaborating with Data Engineers for integration into live systems.

The role involves designing scalable data pipelines, implementing custom ML algorithms, and working on microservice architectures for ad optimization models.