2,676 to 2,700 of 3,531 Machine Learning Jobs in London

secure, resilient, and highly automated, ensuring it can support a wide range of demanding compute requirements. Our environment spans everything from GPU-intensive machine-learning model training to ultra-low-latency trading workloads, requiring meticulous attention to performance, reliability, and scalability. You’ll work closely with researchers, engineers ...

traceable and auditable, supporting regulatory compliance and digital trust.* Promote continuous learning and innovation: Encourage upskilling in emerging technologies such as AI/ML Ops, agentic automation, and cloud-native development. Participate in innovation sprints to generate new automation ideas and create user stories for rapid prototyping.* Use technologies ...

someone who is genuinely interested in using it to work smarter and deliver better solutions. You don't need to be an AI or machine-learning specialist. We’re interested in practical use of AI within development - whether that’s supporting coding and SQL development, troubleshooting, testing, documentation ...

with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications.Your Role in the team:As part of Berenberg’s expansion in electronic trading, the algorithmic trading team ...

background in mathematics, statistics, economics, or a related quantitative discipline, allowing you to challenge, tune, and evolve risk frameworks.Ability to monitor and evaluate automated machine learning risk models, assessing feature quality and guiding data scientists without necessarily needing to build models yourself.Ability to collaborate across engineering, data science ...

working directly with external customers is desirable, as is knowledge of, or experience in, the defence/military domain.Demonstrated expertise in developing and implementing machine learning modelsProgramming skills in languages, tools and frameworks commonly used in data scienceExperience in data preprocessing and feature engineeringComputer science skills to support ...

ESSENTIAL Experience delivering high quality data and self-serve analytics using tools like Airflow, dbt and Looker. Practically used + applied AI/machine learning techniques and built predictive models to get deeper insights Knowledge of the FinTech ecosystem Additional Information What do we offer: Salary ...

degree; or 7 years with a PhD; or equivalent work experience. Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models. Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches. Familiarity with … control, debugging, and test-driven development in cross‐functional teams. Preferred Qualifications: Hands-on integration or algorithm development with airborne sensing systems. Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks. * Experience deploying perception software on SWaP-constrained platforms. Familiarity with ...

across Engineering, Architecture, Data, Fraud, Security and ComplianceData-led decision making across performance, cost and fraud metricsUnderstanding of fraud prevention approaches (rules engines, tooling, machine learning signals)Experience working in API-first or event-driven environmentsOperating environmentMulti-brand, multi-market complexityHigh transaction volumes with real financial exposureStructured governance ...

across Engineering, Architecture, Data, Fraud, Security and ComplianceData-led decision making across performance, cost and fraud metricsUnderstanding of fraud prevention approaches (rules engines, tooling, machine learning signals)Experience working in API-first or event-driven environmentsOperating environmentMulti-brand, multi-market complexityHigh transaction volumes with real financial exposureStructured governance ...

valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen … Strong written and verbal communication skills in English. Nice to Have: Service in a European Air Force. Exposure to perception systems or AI/ML pipelines applied to in-vehicle experiences Experience with simulation environments or digital twin platforms to validate vehicle software Project management experience in cross-functional, customer ...

Architecture, Data, Fraud, Security and Compliance Data-led decision making across performance, cost and fraud metrics Understanding of fraud prevention approaches (rules engines, tooling, machine learning signals) Experience working in API-first or event-driven environments Operating environment Multi-brand, multi-market complexity High transaction volumes with real ...

solutions for clients across a variety of industries.Both product management and design are critical disciplines to create impact with AI. While data science and machine learning offer a powerful means to build insight and predictive capability, those insights are often consumed within a complex operational environment where human ...

IREN company, is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable ...

Develop systems that automate the investment of surplus cash while adhering to strict risk and regulatory parameters. Collaborate with data scientists and help develop machine learning to forecast future cash inflows and outflows across all currencies and jurisdictions with high accuracy, enabling proactive and optimal cash positioning ...

relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the RoleAs a Senior Product Engineer, you'll be a key player in our engineering ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About The Role We're looking for an analytically-minded Credit Risk Manager ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About The Role We're looking for an analytically-minded Credit Risk Manager ...

most recent Research Excellence Framework (REF 2021, Times Higher Education ranking). We have very strong research groups in the areas of Intelligent Systems, Machine Learning, Algorithms and Complexity, and Programming Languages and Systems. We have also made appointments in Quantum Computing and Software Engineering, and there ...

valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen … Have: Experience in a European or allied Navy. Hands‐on experience with Applied Intuition’s applications. Exposure to perception systems or AI/ML pipelines applied to in‐vehicle experiences. Experience with simulation environments or digital twin platforms to validate vehicle software. Project management experience in cross‐functional, customer‐facing ...

technology teams, technology alliance partners and broader ecosystem to identify and leverage the latest technology applications, as well as leveraging predictive analytics, AI and machine learning to optimize our services and provide deep client insights into their own business operations.The team is made up of data specialists (data ...

manage, and route content reliably at global scale. We’re seeking a Senior Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding, safety, and decisioning across the platform. In this role, you’ll shape the architecture and technical strategy that ensures content … with content across Spotify. What You Will Do Shape the machine learning strategy for content understanding and platform-level decisioning Build & scale ML systems for classification, moderation, ranking, risk detection across multimodal content Develop automated decisioning systems that ensure content quality, integrity, & policy compliance at scale Design ...

relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the roleWe're looking for an analytics engineer to contribute to the analytical foundation ...

clients across a variety of industries. Both product management and design are critical disciplines to create impact with AI. While data science and machine learning offer a powerful means to build insight and predictive capability, those insights are often consumed within a complex operational environment where human ...

with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications.Your Role in the team:We are about to start the next major overhaul of ULTRA, Berenberg’s connectivity ...