526 to 550 of 2,709 Machine Learning Jobs in London

system end to end, covering roadmap, modelling strategy, release planning, measurement and production performance. Lead and develop a team of four data scientists and ML engineers, setting priorities and maintaining high technical standards. Own the full product lifecycle for AI products, from opportunity identification through launch, monitoring and iteration. Partner … learning or applied AI, ideally including production systems at significant scale in an adtech environment. A track record of owning AI/ML products end to end, from initial idea through production release and measured business impact Experience leading, coaching or managing data scientists, ML engineers or closely ...

inform team technical decisions Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability Partner with operations stakeholders to understand workflow pain points and translate … technical audiences Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work Preferred Qualifications, Capabilities, and Skills Apply AI and machine learning concepts with a strong interest in applied AI productization Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets ...

inform team technical decisions Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability Partner with operations stakeholders to understand workflow pain points and translate … technical audiences Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work Preferred Qualifications, Capabilities, and Skills Apply AI and machine learning concepts with a strong interest in applied AI productization Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets ...

performance, and managing risks throughout the project. The Amazon Web Services Professional Services (ProServe) team is seeking a Delivery Consultant specialising in AI/ML and generative AI to join our Data & AI practice. In this role, you will work with enterprise customers to design, build, and deploy AI solutions … delivery role. You will contribute across the lifecycle—from discovery and technical scoping through implementation, evaluation, deployment, and handover. The work may include predictive ML, generative AI applications, retrieval and knowledge systems, intelligent automation, and agentic workflows. You will work across customers with different industries, data estates, regulatory requirements ...

system- Experience in external or internal customer facing, complex and large scale project management- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies- Experience building large-scale machine learning and AI solutions at Internet scalePreferred qualification - PhD in Operations Research ...

usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research … resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life ...

years of experience in deploying and maintaining machine learning models in a live production environment. Experience in profiling, configuring, or executing ML workloads directly on hardware accelerators (e.g., GPU or TPU). Experience designing, building, or optimizing model serving infrastructure or inference backends. Preferred qualifications: Experience with developing … serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). Familiarity with writing performance ...

Integrity Team The Account Integrity team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally … across teams (Product, Data Science, Investigations). Nice to Have: Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production). Qualifications Additional Information Interested? Find out more: How we work – a practical guide DEI @ Wise Wise Tech Stack (2025 update ...

promotes responsible tech for people and works to create better change. Creative tech for Better Change. Job DescriptionLead Consultant UK | GCP | Data & AI/ML Architect (Google Professional Cloud Architect)Company DescriptionOur mission is to build cultures of innovation at companies by transforming the way they work and by elevating … within Europe's top companies, then, keep on reading to see what we have to offer! Job DescriptionAbout the roleAs a Data & AI/ML Architect at Devoteam G Cloud UK, your mission is to help our existing customers get the best out of GCP by: Conducting GCP Data Architecture ...

years of experience in deploying and maintaining machine learning models in a live production environment. Experience in profiling, configuring, or executing ML workloads directly on hardware accelerators (e.g., GPU or TPU). Experience designing, building, or optimizing model serving infrastructure or inference backends. Preferred qualifications: Experience with developing … serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). Familiarity with writing performance ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where ...

expertise in any of Python/KDB/C++, for real-time data processing, application development, or data engineering. Working knowledge of AI technologies (machine learning, generative AI, etc.) to support data engineering, analytics, or SDLC automation. Proficiency in automation and continuous delivery methods; advanced understanding of agile … environments in public cloud. Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets. Knowledge of machine learning, statistical techniques, and related libraries. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

raised through support ticketsBuild deep product knowledge across Anaplan's platform and tools (including Grafana)Act as an AI and Machine Learning (ML) subject matter expertCollaborate with other teams to guide customers through complex technical solutionsRaise and track product bugs when you identify themCommunicate investigation progress and outcomes … leading smaller team projects and mentoring colleaguesExperience creating technical documentation and delivering trainingPreferred Skills: Understanding of AI security threats and mitigationExpertise in AI/ML cloud services e.g. Azure OpenAI, AWS Bedrock or Google Cloud AI.Knowledge of core ML concepts e.g. anomaly detectionFamiliarity with technical support environments, SaaS platforms ...

Chase UK is seeking a Lead Machine Learning Scientist to drive end-to-end, cloud-native ML solutions for our International Consumer Bank. You will design and implement production-grade models, mentor junior colleagues and lead cross-functional teams through the SDLC lifecycle. Leverage data to solve complex ...

data and machine learning workflows. Working in a cross-functional team, you'll solve complex challenges and empower our data scientists and ML engineers to deploy their work effectively, shaping the future of AI solutions. What you'll be doing: Building robust, secure, and scalable cloud infrastructure … ML workflows. Partnering with technical and non-technical stakeholders, from initial idea generation through to implementation and shipping. Enabling Machine Learning Engineers and Data Scientists by contributing to internal best practices, standards, and reusable code repos. Proactively identifying and recommending new ways customers can leverage cloud infrastructure ...

Depop is looking for a senior machine learning/product leader to own the ranking platform across our marketplace … surfaces. You will shape the ranking strategy, aligning machine learning models with business goals and buyer-seller experiences. You will partner with ML Engineers, Applied Scientists and platform teams to deliver scalable, high-quality ranking solutions, balancing offline experiments with live marketplace outcomes and user engagement goals. #J ...

exceptions with industry experience Specific Skills Background and/or previous work in AI systems research and performance evaluation. Expertise in optimizing and evaluating ML models and/or privacy & security technologies for on-device performance. Experience with modern Machine Learning (ML) frameworks (e.g., Pytorch, TensorFlow, MLX, ONNX … Runtime, Core ML, TensorRT, etc.). Skills That Will Set You Apart from the Competition Open source projects on mobile/desktop systems optimization Experience with confidential computing and security/privacy protocols Ph.D. in computer science from a top-tier school A strong publication record in premier systems, performance ...

expertise in any of Python/KDB/C++, for real-time data processing, application development, or data engineering. Working knowledge of AI technologies(machine learning, generative AI, etc.) to support data engineering, analytics, or SDLC automation. Proficiency in automation and continuous delivery methods; advanced understanding of agile … environments in public cloud. Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets. Knowledge of machine learning, statistical techniques, and related libraries. #J-18808-Ljbffr ...

building and leading a team that builds production systems handling unstructured clinical text, structured knowledge (ontologies and graphs), and generative AI. Dyad has a learning and teaching culture and the candidate for the role should be as comfortable coming up with accessible explanations … stakeholders and sharing knowledge with team members as they are digging into technical questions. This role spans a number of disciplines within the ML, NLP, and AI disciplines and is not just another LLM-wrapper position. If your experience is solely around using LLMs within the AI space, this role ...

marketplace efficiency, partner ROI, and revenue growth Own ad relevance initiatives that enhance the quality and personalization of sponsored listings for travelers Partner with machine learning and engineering teams to design, implement and optimise auction algorithms that balance traveler experience, partner value, and business objectives Define success metrics … digital advertising, marketplace platforms, or auction-based systems Proven track record of launching and scaling technical products that drive meaningful business outcomes Experience with machine learning applications, preferably in advertising or marketplace optimization Strong analytical skills with experience using data to inform product decisions and measure success Proficient ...

with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. WPP's Data … data analysis and visualisation. Proven proficiency in GCP services such as BigQuery, Google Cloud Functions, and Vertex AI. Solid understanding and practical application of machine learning techniques in data activation solutions, including supervised and unsupervised learning, classification, and regression models. Expert proficiency in data manipulation and cleaning ...

Creandum Advisor LLP is seeking a Senior Staff Machine Learning Engineer to shape the architecture and strategy for machine learning systems. This role focuses on content understanding and ensures safe, high-quality experiences for listeners and creators. You will build, scale, and deploy ML systems across text, audio, image, and video, collaborating with various teams to uphold content standards while enabling automated decision-making. The position offers flexibility with ...

oriented, with a bias towards flexibility and impactWillingness to pick up slack, even if it goes outside your job descriptionDesire to learn more about machine learning systems and infrastructureThrive in environments where technical excellence directly drives both business results and research breakthroughsCare about the societal impacts of your … workPreferred qualificationsSignificant experience with high-performance, large-scale distributed systemsExperience implementing and deploying machine learning systems at scaleExperience building load balancing, request routing, or traffic management systemsFamiliarity with LLM inference optimization, batching, and caching strategiesDeep experience operating Kubernetes and cloud infrastructure at scaleExperience with AI accelerator platforms (GPUs ...

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques … real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts ...

systematic equities trading team. The role sits at the intersection of machine learning, quantitative research and systematic trading , developing and deploying ML models on high-frequency market data and working closely with portfolio management to turn research into live trading signals. You'll develop and optimise classical … datasets. Experience with distributed computing and Linux is important, while C++ would be a strong advantage. This is the a unique chance to deploy ML models into systematic trading, and ensure your code and work directly generates profit. Please apply to find out more. ...