2,326 to 2,350 of 3,528 Machine Learning Jobs in London

audit-ready. Partner with Data Science teams on predictive AI models for transactions; model inputs, outputs, and thresholds(you are not expected to build machine learning models, but you must understand how predictive models behave in production). Support regulatory reviews and audits with strong product narratives. Delivery ...

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 a strategic, data-driven Commercial Partnerships Associate to join ...

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 a strategic, data-driven Commercial Partnerships Associate ...

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 a strategic, data-driven Commercial Partnerships Associate ...

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 building a larger, dedicated Platform team at Lendable, increasing ...

City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local ...

with Data Science teams on predictive AI models for customers journeys and transactions; model inputs, outputs, and thresholds (you are not expected to build machine learning models, but you must understand how predictive models behave in production).Collaborate with Security teams on: account compromise, abuse patterns and attacker ...

GenAI, and large-scale platform re-platforming. Our operating model is built around six functional pillars - Solution Architecture; Enterprise Architecture & System Design; ML, AI & GenAI; Data Architecture; Cyber Security; and Cloud & Infrastructure. Each team member develops deep expertise in one or more pillars and helps us build capability across … well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World's Best Workplaces. Join Accenture to work at the heart ...

effective, efficient, and coherent manner.You’re passionate about technology and innovation, and thoughtful about the drivers for regulatory transformation (online harms, competition, AI/Machine Learning) and the wider regulatory ecosystem in which our clients operate.We encourage an agile approach to working and we expect an individual ...

evaluate, manage, and route content reliably at global scale. We’re seeking a Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify. In this role, you’ll work on systems that generate deep, machine-readable understanding of content across … across large datasets Who You Are You have experience building and deploying machine learning systems in production You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar You have experience working with large datasets and care about data quality and evaluation You are interested ...

Principal Product Data Scientist to join the Operations Delivery Intelligence directorate, driving industrialised decision-support software across airline operations. You’ll own production ML codebases, lead end-to-end delivery, and partner with stakeholders to optimise complex operational problems. You’ll prototype and deploy ML models in Python, build robust ...

Engineer who is excited by the opportunity to build an AI-enabled internal platform from the ground up.You do not need to be a machine learning researcher. This role is primarily about building secure, reliable production software around models: integrations, context, permissions, workflows, tools, data, evaluation and operational ...

JPMorgan Chase & Co. is seeking an Applied AI ML Lead to design and deliver production-grade AI/ML solutions for the LLM Suite platform. This role requires hands-on engineering, architecture ownership, and collaboration with engineering teams to implement secure and high-quality software. Ideal candidates should have ...

telecoms industry, is looking to hire a Senior Devops/Infrastructure Engineer to join their growing team. You will work closely with Backend and ML/AI engineers to deploy and maintain dev/staging environments, work on ML/AI pipelines, and deploy ML models. Also, you will design ...

ambition is to be the most successful games company in the world, and we’re just getting started.The role is leading the Group data&ML teamThe team is a central function that works both with other central group functions like marketing and game solutions, and the game studios which … part of Tripledot. Within the team, you’ll be working with other AI/ML Eng, Data engineers, ML Ops, Data scientists, analysts and product owners. Role OverviewWe are looking for a practical, commercially-minded, results-oriented person to collaborate with studios and group functions and lead AI/ML ...

most successful games company in the world, and we're just getting started. The role is leading the Group data&ML teamThe team is a central function that works both with other central group functions like marketing and game solutions, and the game studios which are part of Tripledot. Within … team, you'll be working with other AI/ML Eng, Data engineers, ML Ops, Data scientists, analysts and product owners. Role OverviewWe are looking for a practical, commercially-minded, results-oriented person to collaborate with studios and group functions and lead AI/ML/Data initiatives that will ...

fine-tuning techniques Augment web agents with security principles including information flow control, privilege control and contextual security Partner with engineers and (privacy, ML, and Cryptographic) researchers to translate findings into product changes, tests, and measurable security improvements Help define a forward-looking security strategy and policy for building … good fit if you have Demonstrated experience working on Secure AI (prompt injection attacks and security guardrails) Strong publication record in AI security, ML security, or closely related areas A track record of shipping products and features inside a fast-moving environment Strong coding skills in Python and familiarity with ...

Solutions Architect within the AWS WWPS Partner team, you will shape and deliver strategy to build broad use of AWS services—including AI/ML, high-performance computing (HPC), advanced analytics, digital engineering, and manufacturing systems modernization—directly with our ecosystem of defence-sector systems integrators, consulting and technology partners. … technical strategy and architecture for defence-sector partners undergoing cloud adoption, modernization, and digital transformation Own end-to-end solution architecture spanning AI/ML, HPC, digital engineering, advanced manufacturing systems, and data platforms on AWS Operate as a trusted advisor at the executive level, translating business objectives into ...

across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. AIS spans multiple workstreams — agent evaluation and oversight, orchestration and tool … evaluation choices that determine whether that context is actually useful. This role suits someone comfortable moving between distributed systems engineering and applied ML, because the team is built the same way, with software engineers and ML engineers working the same roadmap rather than two separate tracks.What you'll doOwn large ...

medicines are discovered and deliver meaningful impact for patients. The opportunity We are seeking an exceptional Machine Learning Scientist who combines strong ML fundamentals with a deep understanding of biological data, to help build the next generation of generative and predictive models of cellular behaviour. Your work will … joining a team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise. We embrace modern ML tooling, including agentic workflows, to accelerate the pace of research iteration. This is an opportunity to push the boundaries of what generative modelling can achieve in complex ...

closely withdevelopers, VFX artists, and AI teams to push the boundaries of synthetic media andenhance the performance of our proprietary tools.ResponsibilitiesTrain and fine-tune ML models to generate hyperrealistic synthetic media.Curate, manage, and optimise datasets to achieve high-quality, lifelike outputs.Diagnose and solve challenges using both in-house and open … software engineers, and product managers to translate project requirements into technical solutions.Continuously monitor and optimise model performance for efficiency and accuracy.Must HaveProven experience training ML models (GANs, Stable Diffusion, or similar).Familiarity with UNIX/Linux environments.Critical eye for facial likeness and visual quality.Excellent teamwork and communication skills.Strong problem-solving ...

Bank of England in Leeds is seeking a Senior Data Scientist within Advanced Analytics to develop ML/AI solutions and prototype robustly. The role focuses on informing policy through cutting-edge data science. The AA team applies generative AI, NLP, agent-based models and network analytics, encouraging collaborative problem ...

withdevelopers, VFX artists, and AI teams to push the boundaries of synthetic media andenhance the performance of our proprietary tools. ResponsibilitiesTrain and fine-tune ML models to generate hyperrealistic synthetic media. Curate, manage, and optimise datasets to achieve high-quality, lifelike outputs. Diagnose and solve challenges using both in-house … product managers to translate project requirements into technical solutions. Continuously monitor and optimise model performance for efficiency and accuracy. Must HaveProven experience training ML models (GANs, Stable Diffusion, or similar).Familiarity with UNIX/Linux environments. Critical eye for facial likeness and visual quality. Excellent teamwork and communication skills. Strong ...

monitor KPIs for system reliability, performance, and operational efficiency Advance automation, Infrastructure as Code approaches, and promote self-healing systems using AI/ML techniques Develop robust incident management frameworks and lead major incident response activities for critical systems Implement blameless postmortems and deliver systemic improvements across production environments Establish … incident management processes, ITSM standards, and ITIL principles Knowledge of resilience design patterns, high availability, and fault‐tolerant architectures Familiarity with AI/ML‐driven approaches for operational efficiency and system reliability Ability to lead transformation, influence across teams, and foster continuous improvement in culture Nice to have: Experience ...

serving as a trusted advisor to customer technical leads. You will lead architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, and analytics. The role requires strong Python/SQL skills, cloud deployment experience, and excellent communication to translate technical value to business outcomes. #J ...