2,576 to 2,600 of 3,528 Machine Learning Jobs in London

enterprise or operational risk, ideally within financial services.Strong understanding of market abuse regulation and trade surveillance frameworks.Awareness or practical experience of AI and machine learning applications within risk or surveillance environments, including model tuning concepts and responsible AI practices.Experience documenting end-to-end processes, identifying risk and control … frameworks and control effectiveness.Why Join CapcoDeliver high-impact transformation programmes for Tier 1 financial institutions.Work in a collaborative, flat, and entrepreneurial consulting culture.Access continuous learning, industry certifications, and structured career development.Help shape the future of enterprise risk, market surveillance, and operational resilience.Be part of a team delivering meaningful change ...

evaluation pipelines at scale across petabytes of real-world and simulated driving data Collaborate with cross-functional teams across perception, planning, simulation, and ML infrastructure Drive alignment between model capabilities and real-world deployment constraints, including latency, robustness, and validation Publish internal technical guidance and mentor engineers across autonomy ML … Требования: B.S., M.S., or Ph.D. in Computer Science, Robotics, or a related field 7+ Years of experience building and deploying large-scale ML systems Deep understanding of foundation models, self-supervised learning, and world models in robotics or simulation Strong software engineering background with fluency in Python and C++ ...

solution architectures.Oversee data integration, model development, and system configuration to ensure optimal performance and client value.AI & Data Strategy:Advise clients on leveraging AI, machine learning, and advanced analytics to enhance RGM capabilities, including predictive analytics for promotional effectiveness, pricing optimisation, and assortment management.Lead the development data-driven insights … commercial strategy.Represent Deloitte at industry events and conferences.Team Leadership & Mentorship:Mentor and develop junior consultants, fostering a culture of continuous learning and high performance.Conduct performance reviews and support career development for team members.Connect to your skills and professional experience Experience in consulting or industry roles with accountability for strategic ...

Candidate must be willing to learn C++. Experience in C++ is a strong plus Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus. ...

research agenda focuses on staying ahead of adversarial actors through continuous innovation in detection methodologies, leveraging state-of-the-art techniques in deep learning and generative modeling, user behavior and multi-modal representation learning, anomaly detection, time-series analysis, and sparse labeling methods. We process billions … product strategy and roadmap for Traffic Quality solutions, including invalid traffic detection, prevention, and measurement systems.- Drive technical innovation in fraud detection methodologies, leveraging machine learning, ad forensics and device attestation.- Lead cross-functional teams to develop and implement sophisticated invalid traffic detection mechanisms.- Define and oversee product ...

product roadmap. What you'll do Design and ship high-quality, production-grade code that integrates Encord into customers' most complex data and ML pipelines Own system design decisions for customer deployments, balancing correctness, scalability, and speed Work directly with clients' engineering teams to diagnose problems, scope solutions, and ship … team member Who we're looking for Design and ship high-quality, production-grade code that integrates Encord into customers' most complex data and ML pipelines Own system design decisions for customer deployments, balancing correctness, scalability, and speed Work directly with clients' engineering teams to diagnose problems, scope solutions ...

processes and infrastructure to continuously assess how those models perform in production. This is a hands‐on role at the intersection of data science, ML, AI safety, and policy. You'll work closely with safety researchers, engineers, and policy specialists to translate complex safety requirements into practical data and evaluation … data to track performance and surface issues. Develop lightweight Python/SQL pipelines and tooling to make data work faster and reproducible, partnering with ML engineers on what "training-ready" looks like. Who you are Experience as a Data Scientist, or similar, working with real‐world datasets and ML models. ...

team through intentional hiring, mentorship, and the cultivation of a culture defined by technical excellence and high output.Driving academic impact by guiding complex machine learning projects and securing top-tier publications that cement Faculty’s reputation in the safety domain.Shaping market-leading offerings for frontier labs and security … specifically regarding alignment, interpretability, and robustness in large language models (LLMs) or safety-critical systems.You possess a strong scientific background evidenced by high-impact machine learning publications and a comprehensive understanding of transformer architectures.You are a strategic visionary capable of setting research priorities that align with long-term ...

scale.Background in software engineering, with production experience in PyTorch, TensorFlow and Generative AI frameworks such as LangChain or LangGraph.Educational background in Computer Science, Machine Learning, AI, Mathematics, or a related quantitative discipline.This is an excellent opportunity for a senior AI leader to shape Generative AI strategy at scale ...

methodologies, focusing on interpretability, steering, and behavioral studies of transformer-based LLMs. Developing high-quality, modular, and reproducible research code in Python using deep learning frameworks like PyTorch. Building and maintaining research infrastructure and technical tooling to accelerate scientific discovery. Documenting and communicating experimental findings through high-quality academic … Translating complex technical insights for diverse audiences, including external frontier labs, government bodies, and safety institutes. Who we're looking for: Solid background in machine learning fundamentals and transformer architectures (specifically LLMs). A practical understanding of white-box and black-box interpretability techniques, such as steering vectors ...

methodologies, focusing on interpretability, steering, and behavioural studies of transformer-based LLMs.Developing high-quality, modular, and reproducible research code in Python using deep learning frameworks like PyTorch.Building and maintaining research infrastructure and technical tooling to accelerate scientific discovery.Documenting and communicating experimental findings through high-quality academic papers, technical reports … research scope.Translating complex technical insights for diverse audiences, including external frontier labs, government bodies, and safety institutes.Who we're looking for:Solid background in machine learning fundamentals and transformer architectures (specifically LLMs).A practical understanding of white-box and black-box interpretability techniques, such as steering vectors ...

Background in software engineering, with production experience in PyTorch, TensorFlow and Generative AI frameworks such as LangChain or LangGraph. Educational background in Computer Science, Machine Learning, AI, Mathematics, or a related quantitative discipline. This is an excellent opportunity for a senior AI leader to shape Generative AI strategy ...

160+ countries. Cutting edge tech: You’ll be developing state of the art systems to prevent and detect crime in real time, spanning machine learning, LLMs and anything else your team feels is needed to tackle the problem.Product led company: Wise lives and breathes empowerment. Our growth … user research and empathy skills to build in a way that will make these customers love Wise.You have direct and extensive experience in building machine learning, LLM or other advanced algorithmic or data heavy products. Bonus points if this was in anti-money laundering, fraud, fincrime, trust ...

Academic GradesStrong Computer Science fundamentalsVery strong Python coding and other functional languagesHave not moved jobs every yearStrong statistics understandingAn interest or experience in machine learning is desirable.This role suits an experienced Python developer who is looking to further expand their knowledge in one of the world’s best ...

management reporting monthly, and present results to stakeholders on a quarterly basis.• Lead the exploration, evaluation, and responsible adoption of AI/ML techniques to drive measurable business outcomes across data workflows and decisioning.You May be a Good Fit if:• Experience of working with Insurance financial data, in a financial … with offshore teams, and or leading/mentoring team members.• Excellent communication and interpersonal skills.• Desire for continued professional development.• Knowledge of AI/ML tools and their practical applications.• Openness to change.Why Choose Fitch: • Hybrid Work Environment: 2 to 3 days a week in office required based on your ...

please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, C# .net, Mechanical Design, Machine Learning, AI, FPGA, Electronics, Java, Python, Data Science or Simulation contact us today. Tagged as: C++, Software ...

methodologies, focusing on interpretability, steering, and behavioural studies of transformer-based LLMs. Developing high-quality, modular, and reproducible research code in Python using deep learning frameworks like PyTorch. Building and maintaining research infrastructure and technical tooling to accelerate scientific discovery. Documenting and communicating experimental findings through high-quality academic … Translating complex technical insights for diverse audiences, including external frontier labs, government bodies, and safety institutes. Who we're looking for: Solid background in machine learning fundamentals and transformer architectures (specifically LLMs).A practical understanding of white-box and black-box interpretability techniques, such as steering vectors ...

opportunities, create a roadmap for AI+ initiatives, outline key milestones, resources, and timelines. Guide the implementation of AI technologies (automation, robotics, AI/ML, and GenAI) to integrate smoothly with existing workflows and systems. Collaboration and Partnership: Partner closely with Finance Technology Lead, Corporate Finance, and divisional CFOs to ensure … deployment of AI+ projects within the Finance team. Coordinate with internal technology teams, Corporate Finance and external vendors. Articulate the potential of AI/ML, NLP, and GenAI tools, helping stakeholders understand benefits, limitations and prerequisites. Monitor progress, manage risks, and ensure successful delivery. Metrics and Reporting: Establish KPIs ...

data transformation engagements, ideally involving complex, mission-critical, or multi-region deployments. Technical expertise in cloud platforms, modern data architectures, and AI/ML deployment. Demonstrated ability to apply Agile, Lean, and Product-thinking approaches to large-scale data and AI initiatives Expertise in change management, including technology adoption, organisational … transformation, and cultural change Deep understanding of AI/ML operational challenges and regulatory requirements Strong stakeholder engagement skills, with the ability to influence executives, technical teams, and delivery partners. Consulting or technology delivery experience, preferably within Financial Services, Energy, or Healthcare industries. Why Indicium AI Fast-growing start ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster … your findings. A safety-conscious mindset, alert to when an issue carries safety implications and comfortable raising it. Desirable Practical experience applying and evaluating machine learning models. Experience working with safety-critical systems. Experience in the automotive, robotics, or AI industries. A track record of promoting statistical rigour ...

Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront— from fighting financial crime to building smarter financial tools—and you may have the opportunity to join … collective that gives you direct exposure to this exciting space. Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering ...

commonplace. Autonomy. While guidance and support are provided, team members own their work and projects. Growth opportunities. We support our people in continuous learning and development. Agile environment. We are committed to providing a work environment that balances the needs of our clients; the needs of our teams … including developing AI governance policies, standards and guidance. Advising on legal and regulatory issues arising from the use of generative AI, machine learning and other emerging technologies and monitoring global regulatory developments. Data, privacy and information governance – Advising on global data protection and privacy requirements. Supporting the firm ...

managers, and other sophisticated clients worldwide. The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management. Data science, machine learning, and AI are core components of its investment and research processes. Requirements: 8+ years in data architecture or data platform roles, including … sessions with the client teams that own the data, extending the client's existing catalogue model instead of replacing it. Define the approach to machine-derived metadata: what is harvested automatically, what is drafted by LLMs and approved by human stewards, what remains manual, and how its quality ...

Linux platformCandidate must be willing to learn C++. Experience in C++ is a strong plusCandidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus.Strong ...

layer & agentic layer The ideal candidate: proven experience in quality engineering, testing or evaluation of data-driven and AI-powered products. strong understanding of machine learning systems, large language models (LLMs) and AI evaluation methodologies for production. experience defining performance metrics, KPIs, benchmarks and acceptance criteria ...