26 to 50 of 3,210 Machine Learning Jobs in London

projects with afantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines andsystems that enable data analysis and machine learning. You will also collaborate with datascientists, analysts, and other stakeholders to ensure data quality and reliability. Requirements Key Responsibilities: Develop Data Engineering solutions ...

projects with afantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines andsystems that enable data analysis and machine learning. You will also collaborate with datascientists, analysts, and other stakeholders to ensure data quality and reliability. Requirements Key Responsibilities: Develop Data Engineering solutions ...

preferred) in Data Science, Technology, Mathematics, Statistics, Business Administration or equivalent work experience.• Proven experience building and commercialising data-driven, advanced analytics, AI, and ML products using multiple data sources, including payments, card transactions, macroeconomic, and syndicated data. • Experience in two or more of the following areas: forecasting and predictive ...

health. These challenges need the bold science we support, but they won’t be solved by science alone. We are looking for a Senior Machine Learning Engineer to join our team. Where in Wellcome will I be working You will collaborate with software and data engineers, analysts, designers … business to create models, tools and services that enhance the value of the data available to Wellcome. You will develop machine learning systems and analytics to support decision making within Wellcome and help us comprehend the reach and impact of the research we support.What will I be doing ...

platforms, analytics and data-led transformation for clients. As part of the growing Data Science capability within the Data Practice, you will work on Machine Learning, Predictive Analytics and Applied AI use cases that help clients move beyond traditional reporting towards evidence-led, AI-enabled decision making. … will work alongside data engineers, data architects, platform specialists and consultants across Snowflake, Databricks and Microsoft Fabric to develop practical, production-ready machine learning solutions. We are looking for a Data Scientist with a solid background in Machine Learning, Statistics and Predictive Analytics to join ...

with industry leaders and advance your career in a dynamic, inclusive environment. Join us to drive innovation and make a difference.As an Applied AI & ML Lead in the Market Operations team, you will drive the design and delivery of AI/ML solutions that enhance and transform Market Operations. … successful implementation and scaling of AI-driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications. Your leadership will help foster a culture of collaboration and continuous learning.Job Responsibilities:Lead the development, implementation, and end-to-end delivery of advanced machine ...

industry leaders and advance your career in a dynamic, inclusive environment. Join us to drive innovation and make a difference. As an Applied AI & ML Lead in the Market Operations team, you will drive the design and delivery of AI/ML solutions that enhance and transform Market Operations. … successful implementation and scaling of AI-driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications. Your leadership will help foster a culture of collaboration and continuous learning. Job Responsibilities: Lead the development, implementation, and end-to-end delivery of advanced ...

industry leaders and advance your career in a dynamic, inclusive environment. Join us to drive innovation and make a difference. As an Applied AI & ML Lead in the Market Operations team, you will drive the design and delivery of AI/ML solutions that enhance and transform Market Operations. … successful implementation and scaling of AI-driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications. Your leadership will help foster a culture of collaboration and continuous learning. Job Responsibilities: Lead the development, implementation, and end-to-end delivery of advanced ...

take, guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking to hire talented AI/ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties … technical capability with client-facing delivery, helping to translate business needs into production-ready AI and machine learning systems.As an AI/ML Engineer, you will play a key role in designing, developing and delivering data and AI solutions for our clients. In this role ...

sits within AI Centre of Excellence department under Chief Operating Office (COO). The key accountabilities for the role are as follows:AI/ML Solution Delivery: Hands on end-to-end development and deployment of both traditional and GenAI-based machine learning models, including discovery analytics, experimental …/CD for production-ready AI systems.Domain expertise in financial services or other regulated industries is highly desirable.ExperienceStrong experience in AI/ML research and development, specializing in deep learning-based NLP, Information Retrieval, and Generative AI.Proven expertise in RAG/GraphRAG pipeline development and evaluation, including advanced retriever ...

rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!Role OverviewWe are seeking a ML Ops Technical Lead to spearhead our infrastructure, cost-optimisation, and deployment strategies. You will manage a talented team of DevOps engineers while remaining deeply technical … hands-on. Your primary mission is to build, scale, and secure the foundational platforms for our machine learning (ML) and generative AI (GenAI) models while maintaining financial accountability.Your ImpactTeam Leadership & Collaboration: Lead and manage a dedicated DevOps team, mentoring both junior and senior engineers while collaborating closely with ...

high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining … qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling ...

deployment and ongoing model performance, with strong object-oriented programming, machine learning and statistical skills, and experience taking models into production, designing ML pipelines and working with MLOps, CI/CD and Azure. Key Responsibilities Delivery of data science products Leading data science projects end-to-end, from … practice, covering pipeline orchestration, model versioning, automated deployment, monitoring and retraining. Cloud based machine learning delivery, ideally on Azure (Azure ML, Azure DevOps), with equivalent AWS or GCP experience considered. SQL and relational data modelling, with the ability to work efficiently against large datasets. Statistical foundations sufficient ...

seeking an experienced, technical, and hands‐on Autonomy Data Manager to grow and lead a talented team composed of Data Scientists, Data Engineers and ML Ops Engineers, working in the Autonomy team to deliver data driven Planning and Perception solutions. You will lead the team to drive the creation … provide technical guidance in the design, development, deployment, optimization, and evaluation of state‐of‐the‐art data algorithms, data efficiency and pipelines to enable ML model performance with a focus on iteration speed, scalability and overall cost efficiency. Drive a culture of rigorous statistical evaluation to measure, validate and implement ...

multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python … with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development ...

interested in working with data and analytics to solve problems Are you interested in bringing your GenAI, ML and NLP expertise to projects About our TeamData Science Life Sciences is a diverse team focusing on GenAI, ML, NLP. We mainly develop best-in-class enrichment pipelines for Elsevier’s life … with subject matter experts in biology and chemistry domains to validate the output.This role requires a strong foundation in Natural Language Processing (NLP), Machine Learning, Transformer models and Generative AI, as well as proficiency in Python.ResponsibilitiesData collection, data analysis, model development, defining quality metrics, quality assessment of models ...

lifecycle of AI product engineering—from architectural design and prototyping to CI/CD-enabled deployment—using modern platforms and tools such as Azure ML, Databricks, MLflow, LangChain and LangGraph. Champion automation, testing, and observability across pipelines.· Operational Excellence: Define reusable development patterns, enforce coding standards, and promote MLOps best … processing and other relevant AI fields.· Proven track record of designing, developing, and deploying AI systems in production environments.· Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers).· Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks ...

rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with - and raise the technical bar for - ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction … software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing and owning production services, APIs, data pipelines, or ML infrastructure at scale. Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization. Deep hands-on experience with ...

support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence.Partner closely with — and raise the technical bar for — ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives.Set technical direction … experience in software engineeringDeep backend engineering fundamentals, especially in Python and distributed systems.Track record of designing and owning production services, APIs, data pipelines, or ML infrastructure at scale.Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization.Deep hands-on experience with LLM inference ...

ability to break down complex problems into manageable steps.Eagerness to Learn: A genuine passion for technology and a proactive attitude towards self-development and learning new skills, as demonstrated through projects or coursework.Communication & Collaboration: Strong verbal and written communication skills, with the ability to work effectively in a team … senior members.Desirable experienceCloud & MLOps Exposure: Basic familiarity with a cloud platform (AWS, GCP, or Azure) and an awareness of concepts like containerization (Docker).Core ML Knowledge: A good grasp of fundamental machine learning concepts, including supervised/unsupervised learning, model evaluation techniques, and feature engineering.Advanced Education ...

ARCHITECT ARCHITECT CONSULTANTHybrid Variable - London or BirminghamOverviewWe are seeking an experienced Senior AI Security Architect Consultant to design, implement, and govern secure AI/ML systems across the enterprise. This role is responsible for embedding security, privacy, and trust into AI solutions—from model development and deployment to monitoring … lifecycle management. The ideal candidate will combine deep cybersecurity expertise with hands-on knowledge of AI/ML technologies, ensuring that AI systems are resilient against adversarial threats, data leakage, and misuse.What you'll be doing:1. AI Security Strategy & ArchitectureDefine and lead the AI security architecture roadmap aligned ...

Hybrid Variable - London or Birmingham Overview We are seeking an experienced Senior AI Security Architect Consultant to design, implement, and govern secure AI/ML systems across the enterprise. This role is responsible for embedding security, privacy, and trust into AI solutions—from model development and deployment to monitoring … lifecycle management. The ideal candidate will combine deep cybersecurity expertise with hands-on knowledge of AI/ML technologies, ensuring that AI systems are resilient against adversarial threats, data leakage, and misuse. What you'll be doing: 1. AI Security Strategy & Architecture Define and lead the AI security architecture roadmap ...

Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user … management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable ...

Engineer to join a growing AI and Data Science function within a leading global organisation. This team is responsible for developing innovative AI, Machine Learning and Natural Language Processing (NLP) solutions that power intelligent products used by customers around the world. Working within a collaborative, cross-functional engineering … environment, you'll play a key role in designing scalable AI platforms, productionising machine learning models and building cloud-native services that deliver real business value. This is an excellent opportunity for someone who enjoys solving complex technical challenges while mentoring others and influencing engineering best practices. ...

certifications (e.g., PMI-ACP), and scaled agile certifications (e.g., SAFe).Working knowledge of AI technologies and approaches is desirable (e.g., Machine Learning (ML), Large Language Models (LLMs), Cloud Technologies and Generative AI), with the ability to engage credibly with technical teams and client stakeholders.TECHNICAL/DELIVERY PROFICIENCYExperience shaping … delivering AI/ML and/or Generative AI solutions and use cases, from discovery and prototype through to deployment and adoption (in partnership with engineering teams).Understanding of modern AI/ML and GenAI concepts (e.g., LLMs, prompt engineering, RAG patterns and evaluation), with the ability to work effectively ...