76 to 100 of 173 Machine Learning Jobs in the City of London

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 ❯

transformation, with at least 3 years focused on AI or advanced analytics Proven track record of leading high-impact engagements with enterprise clients Deep knowledge of AI technologies (e.g., machine learning, NLP, generative AI), and their practical applications. Understanding of AI governance, risk, and regulatory considerations Excellent communication, stakeholder management, and executive presence Advanced degree in Business, Computer … related field; MBA or PhD is a plus Preferred Skills Industry specialization in healthcare, construction, land resources management, energy, or public sector Experience working in or advising AI/ML teams and data platforms More ❯

cloud network , delivering scalable, globally distributed GPU resources for AI training , high-performance gaming , and Web3 infrastructure . By democratizing access to GPU power, we are accelerating innovation in machine learning, blockchain applications, and immersive virtual worlds. Our team is backed by top-tier investors, and we’re on a mission to reshape the economics and accessibility of … distributed environments (e.g., cloud-native, global teams, remote-first). Strong familiarity with blockchain/Web3 ecosystems, including decentralized networks, compliance nuances, and ecosystem partnerships. Exposure to AI/ML or compute infrastructure operations is a significant plus (e.g., managing GPU resources, vendor logistics, or infrastructure procurement). Understanding of open-source community dynamics and developer ecosystem needs. Experience leading More ❯

paced, collaborative environment where technical talent is valued and innovation is encouraged. The Role As a Data Scientist, you’ll work on end-to-end delivery of analytics and machine learning projects—scoping client challenges, building models, and translating insights into action. Projects vary across sectors and may include customer segmentation, forecasting, optimisation, or NLP. You’ll collaborate … problems. The Candidate Key attributes of a suitable Data Scientist include: 2–5 years’ experience in data science or analytics, with strong Python and SQL skills Practical knowledge of machine learning techniques and tools (e.g., scikit-learn, XGBoost) Experience working with real-world datasets and presenting insights to stakeholders Excellent communication skills and the ability to explain complex More ❯

specializes in sports trading, spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports … events. Responsibilities: Utilise advanced statistical techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live More ❯

Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to enhance research platform capabilities Take … trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics More ❯

Python Strong software engineering skills with a focus on building production-ready systems Experience of deploying & monitoring such systems in a cloud environment. Experience with natural language processing, deep learning and generative AI. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Building AI agents, or products that … rely on AI agents Developing and working with tools and interfaces for AI applications (e.g. Anthropic's Model Context Protocol) Training traditional Machine Learning and Deep Learning models. (Desirable) Hands-on experience with containerisation technologies such as Docker. (Desirable More ❯

to generate insights and drive decision-making. The team is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly Overview: Designs and develops creative software solutions, and technical troubleshooting with ability to … Hands-on practical experience delivering system design, application development, testing, and operational stability Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Practical cloud native experience across Internal and External Cloud Providers Experience of Infrastructure as Code Providers e.g. Terraform, and their usage to provision infrastructure across More ❯

Graduate Full Stack Technical Client Integration Engineer Location: Central London/Hybrid Salary: £28,000 - £30,000 + benefits About Us: Join an award-winning AI/ML software company at the forefront of innovation. We're looking for a bright, motivated graduate to join our team as a Full Stack Technical Client Integration Engineer. This is a fantastic opportunity … to kick-start your career in tech, working on exciting projects and learning from experienced professionals in a supportive, fast-paced environment. Who We're Looking For: We're seeking a recent graduate who has completed a degree in Computer Science, Engineering, or a related field from a top-tier university (minimum 2:1 or international equivalent), and achieved … ready to take the next step in your career, we'd love to hear from you. Apply via the link below. Keywords: Graduate, Internship, Computer Science, Engineering, Software, AI, ML, JavaScript, Node.js, Python, Full Stack, Client-Facing, Integration, A-levels, Top University Adecco operates as an Employment Agency and is an equal opportunities employer. All applications will be handled with 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 ❯

enhance this area of the bank Supporting other teams across the business in the implementation and wider maintenance of these models Working closely with the broader bank to implement Machine Learning and AI models YOUR SKILLS AND EXPERIENCE Essential to have experience in model development or validation Exposure to IFRS9 and wider credit models is essential Experience in More ❯

Data Science, or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure to machine learning, predictive modelling, and advanced analytics techniques Industry experience in Automotive, Finance, or Manufacturing is highly desirable What’s in it for you: 💰 Salary More ❯

a top-tier VC, building products that will redefine the retail experience. Currently in stealth mode, we’re blending cutting-edge advances in behavioural science, Generative AI, and reinforcement learning to create systems that anticipate and serve customer needs in radically new ways. We're seeking a visionary Head of Product to lead our next phase of growth. This … Responsible For Define and articulate the overarching product strategy and roadmap, collaborating closely with our Chief Innovation Officer to identify high-impact applications for retail. Translate complex AI/ML capabilities into actionable product requirements, working hand-in-hand with data scientists, ML engineers, software engineers, and UX/UI designers. In collaboration with our Head of UX/UI More ❯

to senior stakeholders. Desirable Skills: Experience validating models for CVA, FVA, XVA or structured products. Exposure to pricing platforms such as Murex, Numerix, or in-house libraries. Knowledge of machine learning techniques in a quantitative finance context is an advantage. More ❯

optimize systematic, high-frequency trading strategies. Conduct quantitative research to uncover market inefficiencies and improve model robustness. Collaborate with engineering teams to build scalable, low-latency trading systems. Leverage machine learning and statistical methods to enhance signal generation and performance. Mentor junior researchers and foster a culture of technical excellence and collaboration. Who We’re Looking For: Exceptional More ❯

pharma expertise, knowledge of the drug lifecycle and data sources for HCO/HCP targeting (scientific, clinical, digital, prescription, sales, engagement) Proven expertise in AI, analytics, data science, and machine learning Experience blending structured and unstructured data and creating scoring models (HCP/HCO targeting experience a big plus) Proficient in Agile practices and experienced with Scrum teams More ❯

Cultural awareness and adaptability for working with diverse client organisations Innovation & Continuous Learning: • Active engagement with emerging technologies in data visualisation and immersive analytics • Understanding of AI/ML applications in automated insight generation and visual analytics • Experience with proof-of-concept development and technology evaluation • Strong analytical thinking with ability to identify opportunities for process improvement and innovation More ❯

concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. … We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise … scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and More ❯

Model Risk Oversight Team is looking for a talented Senior Analyst to focus on model validation – covering everything from IFRS 9 and forecasting to operational risk and AI/ML models. 🔍 What you’ll be doing: Validating diverse models across the bank Writing clear, actionable validation reports Presenting findings to committees and working closely with developers and stakeholders Helping shape More ❯

months. You will guide the application's evolution from an initial 'Reactive Assistant' to future 'Proactive' and 'Agentic' capabilities, collaborating closely with our Solution Architect, AI/ML Engineers, and telco integration teams. This position offers a unique opportunity to shape the future of voice communication by leveraging cutting-edge technologies, including end-to-end voice Large Multimodal Models (LMMs … in Computer Science, Business, or related field; technical background preferred. 5+ years of experience as a Product Manager for consumer-facing (B2C) mobile applications. Proven experience shipping AI/ML-powered products, with a deep understanding of product development lifecycles for AI systems. Experience working in an entrepreneurial/start-up environment, including the ability to jump on topics outside More ❯

months. You will guide the application's evolution from an initial 'Reactive Assistant' to future 'Proactive' and 'Agentic' capabilities, collaborating closely with our Solution Architect, AI/ML Engineers, and telco integration teams. This position offers a unique opportunity to shape the future of voice communication by leveraging cutting-edge technologies, including end-to-end voice Large Multimodal Models (LMMs … in Computer Science, Business, or related field; technical background preferred. ? 5+ years of experience as a Product Manager for consumer-facing (B2C) mobile applications. ? Proven experience shipping AI/ML-powered products, with a deep understanding of product development lifecycles for AI systems. ? Experience working in an entrepreneurial/start-up environment, including the ability to jump on topics outside More ❯

Familiarity with metadata, particularly in rights management or the music/media industry. Knowledge of SQL or data modelling, and working with APIs and microservices. Exposure to AI/ML implementations or Behaviour-Driven Development (BDD) practices. More ❯

Consumer AI | London | ML Engineer A fast-moving insights & analytics startup is searching for an ML Engineer to help build cutting-edge data science solutions powered by digital consumer signals. The team works with massive volumes of digital data, turning it into clear, actionable insights using NLP, LLMs, and advanced marketing data science, helping brands make smarter, faster decisions. This … from scratch to extract insights from digital sources (social, reviews, search, etc.) Stay on top of AI trends and bring fresh ideas into production Translate complex problems into actionable ML solutions Work on both short POCs and longer-term innovation projects Interested? Apply now More ❯

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements? Do you want the freedom to work with a diverse range of clients and be responsible for creating bespoke end-to-end technical solutions for them? You’ll be joining a start-up whose founders have already More ❯