351 to 375 of 2,929 Machine Learning Jobs in London

learning models in financial services (ideally Anti-Financial Crime/Screening) Experience building Natural Language Processing (NLP)/Machine Learning (ML)/Artificial Intelligence (AI) pipelines, including feature engineering, model training, evaluation and monitoring Experience with hyperparameter tuning at scale and experimentation frameworks Strong technical experience ...

across the LLM lifecycle.* Monitor, debug, and improve agents and AI workflows in development and production.## How this job comparesCompared with 410 open senior machine learning jobs on October 10, 2026.Similar open jobs: We Love AI Jobs lists 410 open senior machine learning jobs … companies.Remote work: This job is hybrid. 90 of the 410 senior machine learning jobs (22%) are remote.AI in this role: High. AI is the core of the work: building, training or deploying AI systems. Building and operating LLM-based applications and agentic systems is the core ...

designing and delivering AI, data science, and advanced analytics solutions using the Microsoft Azure technology stack. You will work on projects spanning AI, machine learning, and data platforms for customers, taking responsibility from problem definition through to production delivery. Alongside hands‐on technical work, you will help guide … should be comfortable utilising the following capabilities and experience in both client‐facing and internal projects Industry experience in delivering AI and or DS & ML solutions, with a good grounding in all associated areas Running discovery, solution design and other consultative workshops Managing technical and non‐technical client stakeholders ...

work. We dream big, iterate fast, and care deeply. If that sounds like you, we’d love to hear from you. Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London. We're a well‐funded … respond when something goes wrong, and how we protect people while respecting their privacy and autonomy. You’ll work alongside psychologists, researchers, and machine learning engineers to develop novel systems for AI in a sensitive domain. You’ll help us answer hard, ambiguous questions about our model ...

from various sources and analyze it for better understanding about how the business performance can be enhanced, and to analyze output from AI and ML tools that automate certain processes for capital allocation in the UK. The Data Scientist will report to the Lead Data Scientist in the US/… vast amounts of data, and help us make smarter investment and asset management decisions. The primary focus of this role will be in applying machine learning and predictive analytics techniques, doing statistical analysis, and building high-quality prediction systems integrated with our business model. This role will support ...

build, and deploy AI, LLM, and generative AI agent-based tools to support trading workflows, market analysis, and portfolio risk monitoring. You’ll explore machine learning techniques to enhance trading-signal generation, optimize portfolios, and automate daily risk and position reports. You’ll collaborate with model control teams … transformation across CPG. Job responsibilities Design, build, and deploy AI, LLM, and generative AI agent-based tools for CPG trading workflows. Explore and implement machine learning techniques to enhance trading-signal generation and portfolio optimization. Stay at the forefront of emerging AI capabilities and identify practical applications ...

offs, and alternative approaches Maintain engineering excellence through automated testing, code reviews, observability, monitoring, alerting, operational readiness, and participation in on‐call support Apply machine learning operations practices, including prompt versioning, automated evaluation, deployment pipelines, monitoring, and production issue resolution Partner closely with product managers, data scientists, machine learning engineers, and fellow engineers to translate requirements into reliable software solutions Mentor engineers, contribute to shared frameworks and developer tooling, document system designs and operational runbooks, and promote responsible AI practices across delivered features About The Team Our Digital Content and Innovation (DC&I) team is responsible ...

Senior Data Scientist to join a growing technology business at a key stage of its journey. You'll work on high-impact machine learning projects, help shape analytical best practice, and see your work directly influence product development and client outcomes. The Company They are a data-driven … SaaS business that helps organisations make better commercial decisions through advanced analytics and machine learning. Their products support businesses across a variety of consumer-focused sectors, transforming complex datasets into practical insights. With an expanding client base and ambitious growth plans, they are continuing to invest in their Data ...

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 ...

Sciences customers across European markets Process, harmonize, and connect Veeva Data Cloud products with diverse European healthcare data assets Develop and apply statistical methodologies, machine learning, and AI models to solve complex, high-impact commercial and strategic business questions in the Life Sciences space Build and design … validation processes to ensure defensibility, scalability, and transparency across client engagements Requirements 2+ years of proven experience in data science, advanced analytics, or machine learning roles, preferably within Life Sciences, pharmaceuticals, or healthcare analytics Strong problem-solving and communication skills, with a track record of collaborating effectively across ...

heart of how we make decisions and build products at Monzo. Our Data teams bring together Data Science, Analytics Engineering, Data Analytics and Machine Learning, working closely with Product, Engineering and other teams across the business. Our Data Scientists are embedded within product and business areas across Monzo … where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy. As a Data Science Manager , you'll lead a team of Data Scientists and other Data professionals within one of these ...

experienced and passionate NLP Engineer to join our innovative team. In this role, you will leverage your expertise in natural language processing (NLP), machine learning, and data analysis to develop and refine advanced algorithms that extract valuable insights from textual data related to ESG factors. … members to enhance ESG rating methodologies, improve data processing pipelines, and optimize platform performance Stay up-to-date with the latest advancements in NLP, machine learning, and artificial intelligence to ensure the continued innovation of Sensefolio’s ESG data and analytics solutions Conduct research on emerging ESG trends ...

learning and cloud platforms. The ideal candidate is comfortable working across the full stack and has practical (not just theoretical) experience applying ML in a real-world or industry setting. Key responsibilities Develop and maintain web applications using React.js (frontend) and Node.js (backend). Build and integrate backend … with a web framework (e.g. Django, Flask, or FastAPI). Design, query, and manage relational and NoSQL databases (PostgreSQL, SQL, MongoDB). Work on machine learning tasks including object detection, model training, and deployment. Deploy and manage applications using basic AWS cloud services. Collaborate with cross-functional teams ...

Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources … quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement ...

Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources … quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement ...

research, road-mapping, and engineering work to deliver world models. When assessing technical background, we take a holistic view of the mix of scientific, machine learning, and systems experience. We do not expect applicants to be experts in all fields simultaneously. Artificial intelligence will be one of humanitys … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Minimum qualifications: PhD in Computer Science, Machine Learning ...

research, road-mapping, and engineering work to deliver world models. When assessing technical background, we take a holistic view of the mix of scientific, machine learning, and systems experience. We do not expect applicants to be experts in all fields simultaneously. Artificial intelligence will be one of humanity … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Minimum qualifications: PhD in Computer Science, Machine Learning ...

designed, usable tools and services. Accountabilities Design and build AI solutions that address defined business and operational needs within Pay.UK. Develop, test and deploy machine learning and generative AI models for internal tools, workflows or decision support. Prepare and refine datasets for model training, evaluation and ongoing performance … live AI solutions, troubleshoot issues and implement updates to maintain reliability and accuracy. Qualifications, Skills and Experience Experience designing, building and deploying AI or machine learning solutions for live production use. Experience using Python and AI or machine learning libraries to develop, test and maintain ...

Campus Quantitative Researcher (Full-Time) Graduate quant research role building predictive models and automated trading algorithms with training in markets, statistics, R, Python, C++, machine learning, and signal research. In-house training covers trading and market mechanics, statistics, R, Python, C++, machine learning, and the research … information Location London; Amsterdam Job type Graduate Category Quant Research Company Chicago, United States Global quantitative trading firm combining research, advanced engineering, AI/ML, and high-performance infrastructure across markets and time horizons. #J-18808-Ljbffr ...

Build and deploy AI-driven fraud identification capabilities using multiple data sources. Develop fraud classifiers, anomaly detection, document intelligence and network analysis solutions. Use machine learning and AI to identify emerging threats, including synthetic identities and sophisticated application fraud. Own the production of fraud models, including testing … consumer lending or financial services. Hands-on experience building and deploying fraud or risk models into production. Advanced Python and SQL skills alongside strong machine learning knowledge. Practical experience working with LLMs, agentic AI or AI-driven decisioning, including evaluation, guardrails and governance. Strong understanding of Git, testing ...

pipelines for mass spectrometry imaging applications. Working with large-scale hyperspectral datasets, you will innovate and apply advanced computational approaches, including statistical modelling and machine learning, to extract meaningful information related to complex biological systems and deliver robust, reproducible scientific insights. As part of a multidisciplinary supportive team … coding and data analysis skills. You will be comfortable working with large, multidimensional datasets and have experience developing robust analytical workflows, statistical models or machine learning approaches to support scientific discovery. You will enjoy working collaboratively across disciplines and be able to communicate complex technical concepts ...

identify trends, patterns, opportunities and issues. Use statistical and mathematical techniques to investigate business problems and support decision-making. Develop predictive models, algorithms and machine learning solutions where appropriate. Use R for statistical analysis, modelling and data science. Use Python to develop scripts, automate processes and deploy analytical … datasets. Ability to communicate analytical findings clearly to non-technical stakeholders. A practical, curious and commercially-minded approach to problem-solving. Desirable Experience with machine learning and predictive modelling. Experience with Snowflake. Experience working with ETL/data integration tools, ideally Matillion. Experience with cloud data platforms ...

hiring an Imaging Analyst and Machine Learning Technician to support its growing business: As a member of the analysis team, you will be on the front line of providing value to our customers. You will handle the receipt and quality control of medical images, conduct pre-defined processing … analysis skills in a commercial biomedical environment with rigorous quality control environment. Please find a complete job descriptions attached below: QSA Image Analyst and Machine Learning Technician - job description .pdf #J-18808-Ljbffr ...

events Employment: Permanent, full-time MFK Recruitment is recruiting a Founder’s Associate for an innovative UK technology company developing advanced Artificial Intelligence and Machine Learning solutions for defence, security and other demanding operational environments. Our client has a highly experienced team of Software Engineers, Data Scientists, Machine Learning specialists and Researchers. The company is growing rapidly and is now looking for a highly capable individual to work closely with the CEO and senior management team. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still ...

full model lifecycle while contributing to the development of robust model-management and governance practices. Key Responsibilities Develop, maintain and improve predictive and machine-learning models across the full model lifecycle. Work hands-on with Python, SQL and large datasets to investigate problems, test hypotheses and develop analytical … production. Translate modelling and analytical findings into clear, practical recommendations for stakeholders. Skills and Experience 3 years strong practical experience in data science, machine learning, predictive modelling or a related discipline. Strong Python and SQL skills, with experience working with complex datasets. Practical experience across the model lifecycle ...