Top Machine Learning Jobs in London

Leads client assessments and transformation engagements focused on project controls, programme management offices, and performance functions. Develops recommendations, facilitates workshops, tailors methodologies and digital solutions, and delivers reports to complex stakeholder groups including executive clients. Supports business development, marketing initiatives, internal product development, and team leadership. Applies analytical, communication, presentation, and project controls expertise across major capital projects and programmes.

Leads AI-enabled transformation initiatives across commercial, product, technology, and operations functions. Identifies AI opportunities, builds business cases, manages project portfolios, develops AI roadmaps, partners with technical teams, and drives implementation, adoption, governance, performance monitoring, and value realization.

Leads the strategy, architecture, and delivery of Global Markets data and AI engineering capabilities. Owns platform modernization, cloud-native services, data products, MLOps, AI workflows, governance, security, compliance, and operational controls. Partners with trading, sales, risk, compliance, and technology stakeholders while developing multidisciplinary engineering teams and setting enterprise delivery standards.

Manage the development, launch, scaling, and continuous improvement of AI-powered products. Translate product strategy into roadmaps, coordinate cross-functional delivery, prioritize features, track budgets and resources, and use adoption, performance, and value metrics to guide decisions. The role also requires stakeholder engagement, ethical AI considerations, process improvement, and collaboration with technology teams and external partners through product transition to maintenance.

Leads global go-to-market strategy and commercial performance for IFS’s AI Optimization portfolio, including PSO, MSO, and WISE. Owns portfolio positioning, proposition development, sales plays, pipeline growth, strategic deal support, demand generation, partner strategy, and revenue enablement. Collaborates across Product, Sales, Marketing, Customer Success, Partners, and executive leadership to improve adoption, win rates, forecast accuracy, and commercial outcomes.

Supports technical sales for HPC and AI solutions by gathering customer requirements, designing architectures, preparing proposals, delivering demonstrations and proof-of-concepts, and validating solutions. Collaborates with sales teams, customers, partners, and technical specialists to position solutions, manage opportunities, contribute to pipeline growth, and support successful knowledge transfer. The role also involves tracking emerging technologies, participating in forecasts, documenting activities, and developing expertise in enterprise infrastructure and cloud technologies.

Develop scalable Python and Java solutions for generative AI and machine learning within Morgan Stanley’s trade surveillance analytics platform. Build agentic applications using LLMs, RAG, vector storage, MCP, and A2A patterns; integrate databases, UI frameworks, and DevOps practices. Collaborate with global Agile teams, translate business requirements, write comprehensive tests, optimize code and queries, and follow enterprise SDLC governance.

Eight-week summer internship supporting communication networks consulting projects. The intern will analyze network performance and communications technologies, build models, assess investment cases, research emerging technologies, develop recommendations, and present findings to stakeholders. Projects may involve 5G/6G, satellite communications, private networks, machine learning, drone detection, legacy infrastructure, and radio propagation. The role includes mentoring from experienced consultants and exposure to the full consulting assignment lifecycle.

Leads digital delivery and optimization across AECOM’s England and Wales water operations. Develops digital strategies, advises clients on transformation, data governance, operating models, and platform adoption, and promotes AI, machine learning, and data science. Identifies automation opportunities, supports MVP development, manages digital adoption and team capabilities, contributes to bids, and facilitates client workshops and stakeholder presentations.

Leads digital delivery and optimisation across AECOM’s England and Wales water operations. Advises clients on digital transformation, data governance, operating models, platforms and roadmaps; identifies AI, automation and data science opportunities; develops digital strategies and workplans; supports bids; manages adoption and capability development; and facilitates client workshops and stakeholder presentations.

Leads digital delivery and optimization across AECOM’s England and Wales water operations. Develops digital strategies, advises clients on transformation, promotes AI, machine learning and data science adoption, identifies automation opportunities, supports MVP development, manages regional delivery enablement, contributes to bids, and facilitates client and stakeholder workshops.

Drive complex mid-market sales opportunities for cloud data security solutions. The role involves identifying customer challenges, architecting solutions, delivering technical demonstrations and proofs of value, engaging executives, coordinating internal resources, supporting partners, and representing the company at marketing events.

Own full-cycle recruiting for G&A roles across EMEA, including Policy, Finance, Legal, and People. Responsibilities include sourcing, screening, stakeholder partnership, interview process management, candidate communication, offer coordination, pipeline analytics, and closing candidates. The role requires strong UK and European market knowledge, autonomy, adaptability, and the ability to maintain hiring quality under volume pressure while delivering a candidate-centric experience.

Leads a global AI and data science organization focused on workforce analytics. Sets technical strategy, directs research from hypothesis through production, develops model and evaluation factories, advances responsible agentic AI, and translates models into business and employee insights. Partners with technology teams on scalable platforms, prioritizes investments, communicates with senior leaders, and ensures compliance in a regulated enterprise environment.

Lead end-to-end deployment of Braze AI decisioning solutions, including use case design, technical configuration, workshops, operating models, integrations, and user acceptance testing. Manage customer stakeholders, deliverables, risks, and communications while improving deployment processes and influencing the product roadmap. The role combines technical project leadership, consulting, client management, and conceptual machine learning architecture expertise.

Develops and deploys end-to-end machine learning and AI systems, from raw data processing through production models and measurable business outcomes. Responsibilities include applying machine learning, deep learning, generative AI, statistical modeling, and data science methods; analyzing large structured and unstructured datasets; building compound AI systems; and communicating findings to partners and leadership. The role collaborates with global teams and requires hands-on Python, ML frameworks, MLOps, SQL, and PySpark experience.

Develop research methods for modeling, optimization, and control of complex industrial systems. Formulate research questions from live plant challenges, design rigorous experiments, incorporate physics and operating constraints, collaborate with engineering teams to deploy machine learning and control algorithms, evaluate production performance, investigate failures, and communicate findings. Focus areas include system identification, Bayesian optimization, probabilistic modeling, physics-informed machine learning, active learning, and model-based reinforcement learning.

Develop and improve data science and machine learning models for marketing and consumer insights, including attribution, personalization, forecasting, experimentation, and marketing measurement. Prepare datasets, define evaluation metrics, support model deployment, and generate insights from media, pricing, promotions, and syndicated data. Collaborate with product owners, data engineers, and machine learning engineers; contribute to responsible AI governance, code reviews, reusable AI assets, and mentorship of junior team members.

Leads first-line risk and control advice across retail and customer operations, focusing on regulatory, conduct, and operational risk. Modernizes controls through AI, automation, data-led monitoring, preventative design, and reliable evidence. Advises stakeholders on governance, human oversight, explainability, and customer outcomes; identifies control weaknesses, supports change initiatives, reports to governance forums, and coaches colleagues on responsible AI and modern control practices.

Leads EDF Trading’s enterprise data strategy, architecture, operating model, and multi-year roadmap. Oversees data product management, market data systems, data engineering, governance, quality, and AI enablement. Establishes ownership, controls, quality standards, and investment priorities across data platforms. Builds partnerships across trading, risk, finance, and operations; manages vendors and market data providers; develops multidisciplinary teams; and drives reliable, reusable, governed data products at enterprise scale.

Supports the Market Risk product roadmap by translating client and stakeholder needs into product requirements, researching functionality, coordinating feature implementation, and developing analytical prototypes. Collaborates with data, software, and financial engineering teams on risk models and product enhancements. Provides client and professional services support through product questions, proofs of concept, onboarding, production runs, presentations, and documentation.

Own the US Cards product vision, roadmap, and customer lifecycle from first transaction through retention. Manage credit lines, pricing, engagement, balances, propositions, and mobile app experiences. Build new credit products, prototype and implement hands-on, use AI for analysis and experimentation, and lead cross-functional work across Credit, Growth, Design, Data Science, and Compliance. Measure success through customer and business outcomes.

Conduct research on 3D generation, reconstruction, and world models. Design, implement, and evaluate state-of-the-art methods and prototypes, collaborate with the research team, present findings, and contribute to publications at leading computer vision, graphics, and machine learning conferences.

Lead the Production Inference team of research scientists and ML engineers. Own people development, technical direction, research and development roadmaps, architecture decisions, and model-serving reliability, efficiency, latency, and cost performance. Partner with research, infrastructure, product, and commercial stakeholders; guide production deployment and lifecycle improvements; and recruit technical talent. The role emphasizes leadership and technical reviews rather than hands-on coding.

Research and develop generative AI algorithms for multimodal understanding, image and video generation, and 3D content generation. Explore large-model applications in game development and collaborate on project development, testing, and deployment.