51 to 75 of 6,121 Machine Learning Jobs in the UK

Engineer to help turn pricing models and data science work into reliable production workflows. You’ll work with Pricing, Data Science, Data Engineering and ML Engineering teams to build pipelines that are easier to test, release, monitor and maintain. The role is hands‐on, with a focus on Python … testing and documentation. Make sure pipelines and model workflows are traceable, auditable and safe to change. Work closely with Pricing, Data Science, Data Engineering, ML Engineering and governance stakeholders. Technology and Ways of Working You’ll work in a modern data and machine learning environment. The role ...

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 ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code … 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills ...

practices (SLOs, error budgets, runbooks) and leads production incident response and post-incident review Builds and operates observability across the team's AI/ML services (metrics, logging, tracing, alerting) Automates infrastructure provisioning and configuration through infrastructure-as-code Implements operational security, secrets management, and access controls to firm-wide … environment Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience) Preferred qualifications, capabilities, and skills Experience operating ML/LLM workloads in production (MLOps, inference reliability, cost/performance management) Experience within financial services technology Familiarity with JPM-internal platform, cloud, and observability ...

proposal writing, solutioning, and client presentations. Mentor and coach junior data scientists and analysts. Stay current with emerging technologies and methodologies in AI/ML and data science. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Full AI Project Lifecycle: Experience in managing … with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation models and large ...

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 ...

looking for an AI Consultant (Artificial Intelligence & Machine Learning) - Financial Services Expertise to join our team in London, UK, in a hybrid working mode. As one of the world's leading digital transformation service providers, we are expanding our Data and AI Practice across Europe to meet growing … years in data science or AI roles within financial services or IT consulting for banking, insurance, or investment clients Proven experience with AI/ML financial solutions such as credit risk, AML, fraud detection, or algorithmic trading Familiarity with regulations such as Basel III, MiFID ...

forefront of AI innovation,trusted by Microsoft,AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data.We are pioneers in responsible AI, having authored the UK governments AI Cyber Security Code of Practice implementation guideand we partner with … 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production,including prompt engineering, retrieval-augmented generation (RAG),modelevaluation,andmonitoringusing metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills with a grounding ...

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 ...

Real-Time Analytics), and the wider Azure data ecosystem to design, develop, and implement modern data architectures and pipelines that fuel analytics, AI/ML, and data-driven operations.* Design and build high-performance data integration solutions: Use Azure Data Factory (and/or Fabric Data Factory) to orchestrate ingestion … practices using Microsoft Fabric (Lakehouse/Warehouse), Purview, and Azure security controls to ensure trusted data.* Ability to design, build and deploy AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Azure Machine Learning and Fabric experiences to operationalise models ...

career adventure where your ideas matter and your skills drive change. As a Senior Lead Software Engineer, Cloud Platform in the Corporate AI and Machine Learning Data Platforms team, you will design and deliver secure, high-quality technology solutions that support our data and analytics strategy. You will … infrastructure-as-code technologies. Experience implementing multi-cloud architectures and leading end-to-end platform development. Background in designing and developing scalable AI/ML or Data platforms. Experience with automation and workflow orchestration for operational efficiency. Published contributions to open-source or industry-recognized projects. Hands-on experience building ...

technical expert within the Cloud Engineering & FinOps team, working alongside fellow FinOps engineers to build, maintain, and continuously improve the data and AI/ML capabilities that power CBRE's cloud cost management practice. You bring deep, hands‐on expertise in data engineering and AI/ML, and you apply … highly skilled practitioner who goes deep on the most technically complex problems: designing high-quality data pipelines, developing and tuning AI/ML models, optimizing database performance, and translating raw multi‐cloud billing data into reliable, actionable intelligence. You collaborate closely with FinOps analysts, cloud engineers, and platform leads ...

will be doing As a Senior Data Scientist in our London office , your role will encompass: Designing and implementing advanced data science and machine learning solutions to solve complex business problems. Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering … stakeholders. Advanced Modelling : Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference. ML-Ops & Orchestration : Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines. Programming & Data Engineering : Proficiency ...

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. ...

Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JP Morgan Chase. AI Engineering tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMC businesses as they grow. As a Principal ...

coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear … actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact ...

Time Analyst in the Data & AI Program at JPMorganChase, you will drive impact by building end-to-end data, analytics, and artificial intelligence and machine learning solutions that translate business objectives into measurable outcomes for clients and customers. Working alongside global experts in collaborative teams, you will design … help you grow. We will be filling our classes on a rolling basis. Job Responsibilities Build intelligent systems that power real business outcomes, from machine learning models to generative artificial intelligence and agent‐based solutions. Work hands‐on with cutting‐edge technologies to design, develop, and deploy artificial ...

Tracking instrumentation, information architecture, and data governance tooling for business-critical analytics. We collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor’s global engineering organization. Tripadvisor is looking for a Data Engineer II to join our fast-moving Data Platform … terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms. Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly ...

Client Engagement & DeliveryData Pipeline Development (Batch and Streaming)Snowflake & Cloud Data PlatformsData Architecture & ModellingCollaboration & Best PracticesQuality, Governance & Security Business Relationships: Solution ArchitectsData Engineers, Developers, ML Engineers and AnalystsClient stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership What experience you'll bring: Competencies/Critical Skills … .Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines. Understanding of data governance, security, and compliance frameworks. Exposure to AI/ML workloads desirable. Experience, Qualifications, and Education: Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years ...

within the squad. Working in partnership with more experienced staff, their responsibilities will expand based on developing capabilities, including growing exposure to AI/ML and GenAI approaches. A key part of the role is collaborating with colleagues across Investment Technology & Distributions, Cloud Teams, and Tech departments including Enterprise Architecture … tools) across the platform's Cloud environment, contributing to ongoing Cloud migration activities. Apply AI-assisted development tooling (e.g. GitHub Copilot) and AI/ML techniques where they add value to accelerate coding, testing, deployment and delivery. Contribute to opportunities to apply AI/ML and GenAI across the platform ...

within the squad. Working in partnership with more experienced staff, their responsibilities will expand based on developing capabilities, including growing exposure to AI/ML and GenAI approaches. A key part of the role is collaborating with colleagues across Investment Technology & Distributions, Cloud Teams, and Tech departments including Enterprise Architecture … tools) across the platform's Cloud environment, contributing to ongoing Cloud migration activities. Apply AI-assisted development tooling (e.g. GitHub Copilot) and AI/ML techniques where they add value to accelerate coding, testing, deployment and delivery. Contribute to opportunities to apply AI/ML and GenAI across the platform ...

Senior AI Engineer (Senior/Principal Consultant) to join our Technology Delivery team. In this role, you’ll combine deep expertise in AI/ML engineering and software development to design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You’ll work hands … Join Capco Deliver high‐impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across ...

machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements. To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools … innovative solutions using AI & Cloud. What You'll DoTranslating Requirements: Interpret vague requirements and develop models to solve real-world problems. Data Science: Conduct ML experiments using programming languages with machine learning libraries. GenAI: Leverage generative AI to develop innovative solutions. Optimisation: Optimise machine learning solutions ...

Science, or a related technical field. Professional Experience: Relevant experience across product development, data and AI, with a significant portion focused on AI/ML-driven products and heavy exposure in recent years to Generative AI. Technical Expertise: Experience with Python, SQL and production analytics workflows; familiarity with big‐data … build, and scale complex software systems, including experience with cloud architectures, distributed systems, and modern software development practices. Proven experience in architecting AI/ML solutions with a strong understanding of how to integrate with existing enterprise platforms. Domain Knowledge: Strong experience within the Capital Markets domain is highly preferred. ...

automation and data‐driven technology delivery Awareness of emerging trends such as AI, automation and data‐driven product development Exposure to AI or Machine Learning use cases within digital or technology delivery Experience working with or alongside data scientists, data engineers, or analytics teams Understanding of how data … consecutive years. To see what it’s like to work at Capgemini Invent, visit our Glassdoor page. Capgemini Invent offers Consultants a culture of learning, ownership, and focus on value. You’ll gain exposure to high‐profile transformations and gain hands‐on exposure to leading technologies. Our consultants ...