851 to 875 of 2,927 Machine Learning Jobs in London

Machine Learning Engineer for a 12-month maternity cover within the Platform Delivery department. The role focuses on designing, training, and productionising ML models across multi-source datasets, with emphasis on embedding/RAG workflows, NLP and scalable services integrated into the OneView platform. The ideal candidate will … have 3–5+ years in ML engineering, strong Python skills, experience with modern ML frameworks, and hands-on data #J-18808-Ljbffr ...

transforming the operations of the world's largest bank. You will collaborate with Data Scientists and Line of Business teams to integrate AI/ML solutions and develop horizontal capabilities, focusing on creating robust APIs, services, and libraries. Job Responsibilities Develop and maintain high-quality applications using Python . Architect … . Design and deploy solutions with MLOps best practices . Collaborate with AI experts and internal teams to understand and integrate AI/ML with existing systems. Mentor and guide junior team members, lead initiatives to promote best practices and automation. Collaborate closely with SRE and production monitoring teams ...

production-ready code. Design and develop backend services, APIs, data pipelines and integrations. Build AI systems, including solutions using Large Language Models and machine learning. Review code and technical designs Apply software engineering best practice including Git, Docker, CI/CD and cloud deployment. Defence and Domain Expertise: Rapidly … data engineering pipelines. Experience of using cloud platforms such as AWS or Azure, Docker, Git and CI/CD. Experience of designing or developing machine learning and AI systems, including Large Language Models. Experience of completing code and technical design reviews and applying software engineering best practices. Extensive ...

Learning, Mathematics, or a related technical field, or equivalent practical experience. 3 years of experience in Python programming. 3 years of experience with ML frameworks such as JAX, PyTorch, or TensorFlow. Preferred qualifications: Master's degree or PhD in Computer Science, Engineering, or a related field with a focus … machine learning. Experience in Python and C++ for high-performance ML library development. Experience with harmful manipulation detection, persuasion modeling, deceptive behavior analysis, or AI safety evaluation and mitigation. Experience working directly on AI safety, or responsible AI research. Experience building evaluation frameworks, benchmarks, or automated testing pipelines ...

Learning, Mathematics, or a related technical field, or equivalent practical experience. 3 years of experience in Python programming. 3 years of experience with ML frameworks such as JAX, PyTorch, or TensorFlow. Preferred qualifications: Master's degree or PhD in Computer Science, Engineering, or a related field with a focus … machine learning. Experience in Python and C++ for high-performance ML library development. Experience with harmful manipulation detection, persuasion modeling, deceptive behavior analysis, or AI safety evaluation and mitigation. Experience working directly on AI safety, or responsible AI research. Experience building evaluation frameworks, benchmarks, or automated testing pipelines ...

Engineer to join a growing team to ingest, cleanse and model data into single source of truth, Kimball datasets, used for Business Intelligence reporting, ML, DS & AI and more. A Senior Data Engineer to manage, lead, guide, advice and develop technology and people. Responsible to lead the work, activities, oversight … technologies, such as Azure Stream Analytics, Spark Structured Streaming, etc. Power BI Engineering experience Certified SCRUM Developer (CSD) Data Governance tool experience e.g. Purview Machine learning and Artificial intelligence CDW is committed to being an AI-fluent organization We’re looking for people who bring curiosity, a learner ...

tool use, and multi-step reasoning. Model Development & Adaptation: develop and improve models across text, vision, and structured data, including fine-tuning and hybrid ML + LLM approaches. LLM Platform Work: work with hosted and self-hosted models, contributing to decisions around model selection, performance, and cost. Production Engineering: write … Collaboration: work closely with product and engineering teams to deliver high-impact features. What you’ll bring Experience: 2–5 years building and shipping ML or AI-powered systems into production. Strong Engineering Skills: clean, testable Python; solid software design; experience working in production environments. AI/ML Breadth: experience ...

Faculty Science Limited is hiring a Machine Learning Engineer to bring production-grade ML into real-world client solutions. You will help shape scalable software architecture, define best practices for deployment and work with cross-functional teams to ensure timely delivery of high-quality ML systems. You will … operate across the full ML lifecycle, applying frameworks like TensorFlow or PyTorch, and leverage cloud platforms and container orchestration to deploy at scale. #J-18808-Ljbffr ...

London is seeking a Senior Machine Learning Engineer to build production-grade AI agents and scalable ML-powered services. You will design, implement, and monitor agentic systems that automate complex underwriting decisions, collaborating with data scientists and software engineers in a fast-paced Data & AI unit. The role ...

pricing, market making, execution, portfolio construction, risk management, and the production systems that support them. Job Summary As a Quantitative Trading & Research – AI/ML Quantitative Researcher, you will lead research on building Transformer-based and time-series foundation models over large-scale market datasets, and develop the methods needed … make them robust, transferable, and measurable across instruments and regimes. We are seeking an AI/ML quantitative researcher with hands‐on experience pre‐training large foundation models from scratch. This role is designed for someone who wants to do deep research with real constraints - where questions like scaling laws ...

Learning in Central London. The role is hybrid, with offices in London twice a week. You will lead the Data Science/ML team and drive the adoption of AI across the SaaS platform used by wealth management and FinTech clients globally. You will guide ML/… initiatives, collaborate with clients and internal teams, and own the AI/ML strategy. Strong NLP/LLM experience and deep Python/Azure skills are essential for success. #J-18808-Ljbffr ...

including transactional/EPOS, digital, retailer, social, loyalty etc Delivery Excellence - Experience developing and implementing insight solutions, MarTech/data driven CX solutions or ML/AL solutions. Proven experience owning workstreams including planning, execution, and successful delivery of insights or AI/ML POCs, MVPs and production grade solutions. … with the ability to communicate complex ideas clearly to stakeholders Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space It Would Be a Bonus If You Have Experience in primary growth sectors; CPR (Consumer Products & Retail ...

pipelines and evaluation frameworks optimized for training large-scale, end-to-end (e2e) learned behaviors and multimodal navigation models. Architect and deploy highly reliable ML systems, taking models out of simulation/labs and hardening them for predictable, repeatable execution on physical hardware. Collaborate with cross-functional research and engineering … production expertise: You are someone who gets things into production that work reliably. You have hands‐on experience deploying, monitoring, and optimizing large-scale ML systems. Strong background in spatial reasoning and semantic goals, with experience handling multi‐agent dynamics, crowding, or interactive environments. Proficiency in PyTorch and the modern ...

Medpace is seeking an AI/ML professional to design, implement, and deploy machine learning models, focusing on NLP, LLMs, and AI tools. You will preprocess large datasets, build scalable ML pipelines, and collaborate with cross-functional IT teams to integrate AI into new applications. The role emphasizes … hands-on model development, experimentation with different ML techniques, and delivering production-ready AI solutions to improve business processes across the organization. #J-18808-Ljbffr ...

London is seeking an experienced Machine Learning engineer to drive product-focused ML features. You will lead prototypes to production, collaborate with Product and Design, and mentor other engineers. The role emphasizes researching algorithms, evaluating models offline, and shipping ML products that impact customers. ...

design, build, deploy, and operate enterprise AI capabilities on a Microsoft-first stack, including agentic systems, generative AI applications, AI-enabled automation, and ML-powered platforms, ensuring consistent standards, quality, governance, security, and reliable global operations. Partners with enterprise architecture, security, privacy, legal, and central AI/data governance teams … Flow Azure engineering : Azure Functions, App Services, AKS, API Management, Logic Apps, Event Grid, Service Bus Engineering and SDLC: Azure DevOps, GitHub Enterprise, Azure Machine Learning, CI/CD, evaluation pipelines, observability Security and governance : Microsoft Entra, Purview, Key Vault, Defender, Azure Policy Data and analytics : Azure ...

data engineering is practised across the organisation. This is an opportunity to have genuine technical influence, working on platform capabilities that support analytics, machine learning, AI initiatives, and data-driven decision-making at scale. You will be expected to be able to drive forward the transition … implementation and adoption of data quality, observability, security, testing and deployment including creating and sharing standards Partner closely with Analytics Engineers, Data Scientists, ML Engineers, and product teams to ensure platform capabilities solve real-world problems Evaluate and introduce new technologies, helping the business adopt modern approaches to data engineering ...

products and searches. We provide secure, flexible, cost effective, and high‐quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) 2+ years experience in computational … requirements Extensive experience working with speech, text, and multimodal data in multiple languages Experience in data creation for complex agentic workflows Practical experience with Machine Learning Familiarity with technical concepts such as APIs Practical knowledge of version control and agile development Familiarity with database queries and data analysis ...

technical platform capabilities across the product lifecycle. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time‐series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud … Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive ...

Expedia Group is seeking a Senior Manager, Machine Learning Science in London to lead a diverse team of data scientists and ML engineers across content-related AI initiatives. You will define goals, guide model development, and work with product and engineering to deliver scalable content AI capabilities that … improve user and partner value. The role requires 4-5+ years of leadership in ML/AI, a strong coding foundation (Python/Scala/Java, SQL), and a principled approach to experimentation, #J-18808-Ljbffr ...

East for in‐person sessions. When applying please bear in mind the following: We work in an area flooded with tech buzzwords (e.g. AI, machine learning, blockchain) — in your application show us how you would explain a buzz‐wordy term to a room full of people that … specific clients and industry sectors Acting on feedback from peers, learners and the Decoded team SPECIFIC ROLES & RESPONSIBILITIES Workshop Preparation Reviewing exercises and other learning materials before a session Learning about your learners and the businesses they work for Familiarising yourself with the course structure and content, proactively ...

forefront of a new era in high-performance computing, developing full-stack photonic quantum systems designed to transform how organisations tackle machine learning, generative AI, and complex optimisation challenges in data centre environments. Headquartered in London, ORCA has delivered eleven on-premises quantum computers worldwide - demonstrating that … Qiskit, etc.). Experience releasing and maintaining open-source software and growing a developer community around it. Experience integrating scientific software with AI/ML tooling. Previous ownership of customer-facing/pre-sales responsibilities A publication or open-source track record. Who we are looking for Ability to work ...

simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. … SAST, DAST) within pipelines like GitHub Actions, alongside release packaging and artifact management. Capability to develop secure, automated infrastructure using Terraform. You enjoy learning about both the offensive and defensive aspects of security. Ability to work collaboratively within enterprise-wide agile development environments. Outstanding communication skills (both written ...

technology into secure, production-ready solutions. This is an opportunity to work directly with clients, translating complex business challenges into applications that combine traditional machine learning, Generative AI and agentic workflows. You’ll work across the full application lifecycle, from early prototypes and MVPs through to testing, deployment ...

experience: 10+ years' experience in data, analytics, AI, or enterprise architecture Strong consulting background delivering technology and AI transformation programmes Deep understanding of AI, machine learning, GenAI, and cloud data platforms Experience with AWS, Azure, or GCP Strong knowledge of data architecture, DevOps, and automation tooling Experience engaging ...