951 to 975 of 1,643 Machine Learning Jobs in London

with extensive expertise in various industries, including fintech, e-commerce, logistics, insurance, biotech, cybersecurity, and more. Our world-class team of over 650 experts develop web, mobile, AI/ML, and enterprise solutions for world-renowned companies, including Fortune 500 firms and emerging startups. We have 2 development centers in Europe, a representative office in London, the U.K., and remote More ❯

manage risks, and ensure successful execution against timelines and success criteria. 4. Champion digital enablement and AI adoption within ETF Identify opportunities to automate manual processes, apply AI/ML tools, and deploy analytics to improve efficiency and decision-making. Sponsor proofs of concept and pilot initiatives to test new technologies within ETF workflows. 5. Drive change management and solution More ❯

organizational change - Show deep understanding of enterprise-level decision-making processes and regulatory compliance - Excel in public speaking and executive communication - Lead cross-functional teams successfully - Understand AI/ML technologies and their business applications - Experience in building and executing complex go-to-market strategies - Collaborate with internal and external stakeholders to drive innovation - Preferred: Experience working across New Zealand More ❯

methodical. Needs to be highly organized and effective in problem solving Business analyst-level knowledge for ERPs such as SAP, Infor, Epicor, and or Oracle Experience with AI/ML platforms, data analytics tools, and SaaS-based products in the manufacturing and distribution sectors Track record of delivering measurable business outcomes with ability to articulate complex technical concepts to both More ❯

Company Background ThreatConnect enables threat intelligence, security operations, and cyber risk management teams to work together for more effective, efficient, and collaborative cyber defense. With ThreatConnect, organizations can infuse ML and AI-powered threat intel and cyber risk quantification into their work, allowing them to contextualize an evolving threat landscape, prioritize the most significant risks to their business, and operationalize More ❯

concepts, storage systems with ability to go deep enough on technical aspects to differentiate between varied data storage services. Has good appreciation and knowledge of advance technologies including AI, ML, IOT and use cases. A day in the life As an Account manager, you will be the owner of your assigned territory and will focus on driving digital transformation through More ❯

skills with both technical and business stakeholders Preferred Experience Ruby on Rails proficiency (our primary backend framework) Intercom platform and API experience or similar customer communication platforms AI/ML technologies knowledge and practical implementation experience Jira, support tools, and workflow automation experience Shopify ecosystem and API familiarity (we're deeply integrated with Shopify) E-commerce or SaaS environment background More ❯

decision-making. This is a senior role requiring teamwork and a business perspective. The individual will interact extensively within the team and across business lines, working in partnership with Machine Learning and Central Customer Analytics teams. There will be a steep learning curve, adding significant business skills to the individual. Key job responsibilities Perform exploratory analysis: fetch More ❯

find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing … best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets Implementing scientific technology products that leverage the data and capabilities provisioned by Onyx The Staff Application Engineer and Team Lead will play a pivotal role More ❯

products and automations specifically within a performance media context. This includes hands-on experience with campaign optimization, bidding algorithms, audience segmentation, and reporting solutions• Deep understanding of AI/ML concepts and techniques, with practical experience in applying them to real-world marketing challenges• Experience building products and automations leveraging Large Language Models (LLMs) and AI agent frameworks• Familiarity and … ability to identify innovative AI solutions and successfully scale them within an organization• Strong coding skills in Python or similar languages, with experience in developing and deploying AI/ML models• Proficiency in working with data and analytics platforms, including experience with data manipulation, analysis, and visualization• Excellent analytical and problem-solving skills, with the ability to translate complex data More ❯

modern serverless AWS stack Lead improvements in performance, reliability, and code quality Improve and maintain CI CD pipelines, test automation, and internal tooling Collaborate across teams — including support for Machine Learning workloads and Data Engineering Contribute to architecture discussions, technical documentation, and internal best practices Key skills: TypeScript, AWS Lambda, Kinesis, EventBridge, CI/CD, GitHub Actions, Python (for ML), JIRA, Confluence Key skills: Five years’ experience in backend engineering Advanced skills in TypeScript and modern AWS (especially Lambda, Kinesis, EventBridge) Experience with infrastructure-as-code (CDK2 preferred) Strong attention More ❯

a tool to understand the human world. (Desirable) Experience or strong interest in multi-agent systems, agent-based modeling (ABM), or game theory. MS or PhD in Computer Science, Machine Learning, Computational Social Science, or a related quantitative field, or equivalent practical experience. (Desirable) Hands-on experience with advanced LLM application techniques like RAG, chain-of-thought, and … LLMs) to solve complex, open-ended problems. (Desirable) Experience designing and conducting experiments in a social science or human-computer interaction (HCI) context. Strong proficiency in Python and common ML libraries/frameworks (e.g., PyTorch, JAX, TensorFlow, Hugging Face). (Desirable) A track record of publications in relevant AI or interdisciplinary conferences. A strong scientific mindset geared towards rigorous experimentation … coupled with the engineering discipline to build reliable and scalable systems to test complex hypotheses. (Desirable) Experience deploying ML-driven applications into production environments. A keen interest and/or background in principles of human behavior, cognitive science, psychology, or social dynamics. Excellent communication skills, with the ability to articulate complex technical and experimental concepts clearly. What the job involves More ❯

p/d Inside IR35 Location- x2 days per week onsite (various UK locations) Start- ASAP Interview- 2 stage process Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline—or equivalent hands-on experience. Over 7 years of professional experience in Python development, with a strong track record of delivering robust AI/ML solutions, particularly in the domain of autonomous agents. In-depth knowledge of agent frameworks and tools such as OpenAI Agents SDK, Autogen, Google ADK/A2A, LangGraph, and similar technologies. More ❯

your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff, including alumni from Anthropic, DeepMind, OpenAI and ML professors from Oxford and Cambridge. In addition to Junior roles, Senior, Staff and Principal RE positions are available for candidates with the required seniority and experience. Person Specification You may … be a good fit if you have some of the following skills, experience and attitudes: Experience working on machine learning, AI, AI security, computer security, information security, or some other security discipline in industry, in academia, or independently. Experience working with a world-class research team comprised of both scientists and engineers (e.g. in a top-3 lab More ❯

directly impact organizational strategic decisions and priorities. Being able to thrive in an ambiguous, fast-moving environment and prioritizing work is essential, as is a mind for innovation and learning through rapidly evolving and new technologies. This role provides an opportunity to develop original ideas, approaches, and solutions in a competitive and ever-changing business climate. Key job responsibilities … growing a pool of bar-raisers and diverse data professionals, which empowers us to continuously enhance our data capabilities, holistically covering disciplines of Data Engineering, Business Intelligence, Analytics, and Machine Learning. BASIC QUALIFICATIONS - 10+ years of professional or military experience - 8+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with … design of experiments and statistical analysis of results - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership PREFERRED QUALIFICATIONS More ❯

central London office. As a Senior Platform Engineer, you'll own our hybrid Kubernetes fleet (on-prem + AWS) and build the self-service infrastructure that empowers biologists and ML engineers to work more effectively. You'll report to the Platform Engineering Lead, drive security and reliability improvements, and architect new tooling to streamline operations. You will be working alongside … leading data scientists, bioinformaticians, and ML scientists, to build the largest and most diverse metagenomic dataset known to the industry. You will be instrumental in building and scaling our infrastructure to leverage our data asset for next generation therapeutics, deep learning models, and some of the industries toughest biotechnology challenges. About you Own and operate our on-premise and … parts of our tech stack (Clickhouse, Postgres, Datadog, Dagster, Temporal, AWS, Gitlab and RunAI) Any domain knowledge within Life Sciences and Biotech/Techbio, specifically around high throughput sequencing, ML models, and bioinformatics. What we can offer in return The opportunity to be a key member in an exciting, dynamic, and fast-moving field. A fun, flexible, and supportive work More ❯

you’ll play a key role in designing and deploying advanced pricing models that directly impact revenue and profitability The Role: Build and deploy pricing models using statistical and machine learning techniques Analyse large datasets to understand risk and performance across products Develop pricing strategies that support customer growth and profitability Work closely with engineering and product teams … insights and strategy recommendations to senior stakeholders Experience Required: Experience in insurance pricing (motor, home, travel, or similar) Strong Python and SQL skills Experience building pricing models (GLMs essential, ML models a plus) Experience modelling insurance premiums Strong communication skills, comfortable working with senior stakeholders Degree in a STEM subject Benefits: Up to £85,000 base salary More ❯

you’ll play a key role in designing and deploying advanced pricing models that directly impact revenue and profitability The Role: Build and deploy pricing models using statistical and machine learning techniques Analyse large datasets to understand risk and performance across products Develop pricing strategies that support customer growth and profitability Work closely with engineering and product teams … insights and strategy recommendations to senior stakeholders Experience Required: Experience in insurance pricing (motor, home, travel, or similar) Strong Python and SQL skills Experience building pricing models (GLMs essential, ML models a plus) Experience modelling insurance premiums Strong communication skills, comfortable working with senior stakeholders Degree in a STEM subject Benefits: Up to £85,000 base salary More ❯

you'll play a key role in designing and deploying advanced pricing models that directly impact revenue and profitability The Role: Build and deploy pricing models using statistical and machine learning techniques Analyse large datasets to understand risk and performance across products Develop pricing strategies that support customer growth and profitability Work closely with engineering and product teams … insights and strategy recommendations to senior stakeholders Experience Required: Experience in insurance pricing (motor, home, travel, or similar) Strong Python and SQL skills Experience building pricing models (GLMs essential, ML models a plus) Experience modelling insurance premiums Strong communication skills, comfortable working with senior stakeholders Degree in a STEM subject Benefits: Up to £85,000 base salary More ❯

predict behaviour, and enable hyper-targeted marketing. Responsibilities: Collaborate to develop data science solutions and outputs supporting the organisation’s product offerings Recognise opportunities to use data science or ML to solve product problems Develop data pipelines to support data science experimentation Show an understanding of the organisation and the benefits of data science Develop, deploy and support science models … or a related field, or a Master’s degree. Proficient in Python (core skill), with strong experience in SQL, AWS, and CI/CD pipelines Strong Data Science and Machine Learning fundamentals Strong experience with clustering, time-series forecasting, and regression techniques. **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest More ❯

predict behaviour, and enable hyper-targeted marketing. Responsibilities: Collaborate to develop data science solutions and outputs supporting the organisation’s product offerings Recognise opportunities to use data science or ML to solve product problems Develop data pipelines to support data science experimentation Show an understanding of the organisation and the benefits of data science Develop, deploy and support science models … or a related field, or a Master’s degree. Proficient in Python (core skill), with strong experience in SQL, AWS, and CI/CD pipelines Strong Data Science and Machine Learning fundamentals Strong experience with clustering, time-series forecasting, and regression techniques. **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest More ❯

of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups. Aeron meetups are also held at Riverbank House. We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. … our environment a great place in which to work. We offer flexible working, competitive compensation, a generous holiday allowance, health and other benefits. We are also committed to continuous learning and development via coaching, mentoring, conference attendance and sponsoring academic and professional qualifications. We are simultaneously committed to "levelling the playing field" and believe that agile working promotes inclusivity More ❯

of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups. Aeron meetups are also held at Riverbank House. We open-source some of our technology including parts of our Data Platform. See We regularly talk at … our environment a great place in which to work. We offer flexible working, competitive compensation, a generous holiday allowance, health and other benefits. We are also committed to continuous learning and development via coaching, mentoring, conference attendance and sponsoring academic and professional qualifications. We are simultaneously committed to "levelling the playing field" and believe that agile working promotes inclusivity More ❯

translate model outputs into business value About You You are an analytical thinker with a passion for using data to drive credit decisioning. You bring hands-on experience building machine learning models for consumer credit and understand the nuances of data preparation, feature selection, and model validation in high-stakes environments. 5–7 years of experience in a … in feature engineering, handling class imbalance, and evaluating model performance using AUC, KS, precision/recall, etc. Understanding of model monitoring and techniques for identifying drift Experience with unsupervised learning (e.g., K-means, PCA, autoencoders) for fraud detection or segmentation Exposure to start-up or scale-up environments Familiarity with alternative data for credit scoring (e.g., device data, psychometrics More ❯

translate model outputs into business value About You You are an analytical thinker with a passion for using data to drive credit decisioning. You bring hands-on experience building machine learning models for consumer credit and understand the nuances of data preparation, feature selection, and model validation in high-stakes environments. 5–7 years of experience in a … in feature engineering, handling class imbalance, and evaluating model performance using AUC, KS, precision/recall, etc. Understanding of model monitoring and techniques for identifying drift Experience with unsupervised learning (e.g., K-means, PCA, autoencoders) for fraud detection or segmentation Exposure to start-up or scale-up environments Familiarity with alternative data for credit scoring (e.g., device data, psychometrics More ❯