51 to 75 of 5,806 Machine Learning Jobs in the UK

Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Consultant in SAIL, you will own and lead consultancy engagements … winning the work, through to delivery governance and team leadership. You will bring SME‐level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect ...

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 ...

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 ...

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 ...

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 ...

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 ...

specifications that guide data solutions. Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences Continuous Learning and Development: Commitment to continuous learning and professional development, staying up to date with the latest industry trends, tools, and technologies. Youmay also … certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data Science/AI/ML: Experience working with data tailored for data science, AI, and ML applications, Experience with Public Sector Clients: Experience working with public sector clients and understanding their ...

equip students with a range of key skills essential for entry into this exciting and ever-evolving sector. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: All aspects … planning, delivering, and assessing student work, ensuring that all learning outcomes are met Developing, updating, and improving course materials as appropriate Using a variety of learning and teaching methods/materials Actively engaging in staff development activities, peer observations, meetings and other administrative duties Understanding and keeping ...

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 ...

itself: Build Agentic Solutions using world's most advanced LLM models from Anthropic, OpenAI and others Build Deep Learning solutions using AI/ML Platforms for real time transactions at a scale of 100K+ TPS and for peta bytes of Data. Design code and systems that touch … technology, and new operations flows in diverse agile squads Opportunities to make a difference on a global or local scale through mentorship and continued learning and experiments. Essential Functions: Demonstrates in-depth technical proficiency to accurately interpret and address project requirements. Identifies and contributes to the development and solution ...

lifecycle. Architecture & Design: Oversee system architecture decisions, ensuring alignment with business goals and scalability requirements. Mentorship: Mentor and guide junior developers, fostering a collaborative learning environment. API Development: Design and build RESTful API endpoints using NodeJS and Express, including detailed API documentation. Database Management: Design, optimize, and maintain complex … Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well‐being, and continuous growth, ensuring ...

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 ...

Preferred Qualifications Frontend experience using React is a plus. Knowledge of SAP systems and integration patterns is advantageous. Familiarity with LLMs and AI/ML integration patterns is a plus but not mandatory. Experience working in cross‐functional, remote, or distributed engineering teams. Exposure to containerization of Applications (Docker, Kubernetes … . What We Offer Competitive consultancy fee commensurate with experience. Collaborative and growth‐oriented work environment. Continuous learning opportunities and access to cutting‐edge AI technologies. If this sounds like you, we'd love to hear from you. Join the enterprises scaling their autonomous workflows with Kodamai's next ...

Experience with Azure Data Factory, Synapse Analytics, Data Lake, or related cloud data technologies. Experience creating executive dashboards and operational reporting solutions. Knowledge of machine learning, anomaly detection, predictive analytics, or statistical analysis techniques. Experience working with large-scale telemetry, operational, or IoT datasets. Familiarity with DevOps practices ...