1,201 to 1,225 of 2,567 Machine Learning Jobs in London

disconnected environments, including offline dependencies and moving artefacts across the boundary. Good instincts on secure development, authentication, authorisation and secrets management. Putting AI or ML models into production, LLM features included. Infrastructure as code with Terraform, Ansible or similar, plus configuration management. Observability and incident response: metrics, logging, tracing. Message ...

Cloud and infrastructure: AWS and/or GCP, Kubernetes APIs and services: REST, gRPC Distributed systems: event-driven architectures, including Kafka Agentic AI and ML Commercial and open-source LLMs integrated into agentic workflows Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation Strong schema, validation, and state ...

feature changes affect customer experience and business outcomes. Familiarity with AI‐driven products, tools, or workflows, including experience identifying opportunities to apply AI/ML capabilities to solve customer or business problems. Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need ...

experience managing an Analytics or Data Science team, including prioritisation, roadmapping, coaching and performance management. Experiences with experimental design and supervised/unsupervised ML approaches for regression and classification tasks. Experience of root cause analysis to ensure that problems are solved at both a tactical and strategic level. Experience delivering ...

JPMorgan Chase & Co. invites applications for an Applied Innovation Engineering role within the AI/ML group under the CDAO Technology umbrella. The team focuses on machine learning for software, cybersecurity and infrastructure, delivering production-ready solutions at scale. The role collaborates with engineers, data scientists and product ...

Gateway, Direct Connect, Route 53, and Gateway Load Balancer – Azure VNets, VNGs, ExpressRoute, vWAN, Load Balancer, and DNS)Experience designing and securing AI/ML infrastructure including AWS SageMaker, AWS Bedrock, Azure AI Foundry, Google Vertex AI, Databricks, GPU-accelerated compute, and model inference pipelinesExposure to unique threat landscape ...

EngineerSolutions Architect/Solutions EngineerTechnical or Implementation ConsultantStrong analytical and problem-solving skills with experience in: Data modeling, analytics, or business logic designAI/ML concepts or applied data workflowsProficiency with: Formulas, logic, and structured modelingProgramming (Python, SQL, or similar is a plus)Familiarity with: SaaS platforms or planning tools ...

track time and bill for hours worked on customer projects. Assist sales and sales engineering on technical prospect calls when required. Leverage AI/ML capabilities to enhance integration frameworks, solution design, system automation, and operational efficiency. Support the responsible use of AI-driven approaches in cloud-based solutions, DevOps ...

technologies, including AWS, Azure, GCP, Docker and Kubernetes. Expertise in API and performance testing, with experience implementing AI-driven testing and integrating AI/ML into QA practices. Leadership experience, including guiding teams to deliver testing solutions, collaborating across multiple teams or territories, and using monitoring and troubleshooting tools ...

information, and performance reporting using platforms such as Power BI, Microsoft Fabric, Databricks, and Snowflake. AI & Advanced Data Capabilities – Understanding of emerging Artificial Intelligence & ML Ops platforms. Experience designing architectures that enable trusted, governed, and scalable AI adoption, underpinned by strong data foundations using platforms such as Azure AI Foundry ...

technical engine of our Innovation team, working directly with highly regulated clients to help them transform their operations using advanced AI/ML technologies. You are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function ...

experience of financial industry, specifically in Back Office solutionsExperience working with Sales, Account Management, Product and Technology teams. An awareness of Artificial Intelligence and Machine Learning. An awareness of SaaS capabilities (IBM, AWS, Azure, GCP, etc.)Collaboration skills including working in complex matrix organizations. Applicants for this role should ...

value-based selling that achieves material business outcomes. Proven success in influencing Chief Data Officers, Chief Analytics Officers, Lines of Business, and AI/ML leaders at Fortune 1000 companies. You bring both the strategic acumen of a consultant and the competitive drive of a closer. Demonstrated experience selling ...

peers, service teams, and product groups to influence roadmap priorities based on customer needs- Stay current on emerging trends in data analytics, AI/ML, and financial services technology, and feed insights back into customer engagements and internal communitiesA day in the lifeYou'll be joining a focused, high-calibre ...

account manager, solutions architect, sales engineer, or technical consultant. Preferred experience working with SQL, Python, React, and web development frameworks. Familiarity with AI/ML tools is a strong plus. Passion for AI technology and a strong desire to apply it to real-world customer challenges. Ability to proactively identify ...

peers, service teams, and product groups to influence roadmap priorities based on customer needs Stay current on emerging trends in data analytics, AI/ML, and financial services technology, and feed insights back into customer engagements and internal communities A day in the life You'll be joining a focused ...

experience in conducting or leading financial crime risk assessments and/or change impact assessments. Experience delivering data-driven products, including applying AI/ML in Financial Crime contexts and building or enhancing case management systems and investigator tooling. Experience developing products for investment platforms or digital consumer banking, ideally ...

understand stated, unstated business needs, and challenges. Own the overall technical relationship between - customers and AWS. Influence leaders on topics such as AI/ML, app modernization, reliability, and operational efficiency, security, cost, and performance. Working backwards from the customer's business needs, create a holistic technology vision, strategy ...

experience in conducting or leading financial crime risk assessments and/or change impact assessments. Experience delivering data-driven products, including applying AI/ML in Financial Crime contexts and building or enhancing case management systems and investigator tooling. Experience developing products for investment platforms or digital consumer banking, ideally ...

functional and object-oriented programming. Knowledgeable in Javascript/Typescript, HTML, WebGL, experience in CUDA/GPU-programing, cloud-computing, Github, web-hosting/Machine Learning. Strong communication skills and ability to work both, independently and collaboratively, clear in the presentation of complex issues. JOB RESPONSIBILITIESServes as a statistical ...

They can also build sophisticated, full-fledged programs, such as common operating pictures, alert-triaging inboxes, and resource allocation planning tools driven by rich-ML models. As a Senior Front End Software Engineer focused on application development in Foundry, you will be responsible for crafting the tools used by thousands ...

technologies • Experience across customer, marketing, commercial, web or product analytics • Strong understanding of CX, customer data and digital analytics • Experience leading AI/ML POCs, MVPs and production-grade solutions • Ability to move between hands-on technical delivery and strategic leadership • Proven project, programme and people management experience • Strong commercial … relationships with senior client stakeholders and identifying new opportunities • Excellent communication, presentation and data storytelling skills • A strong interest in emerging developments across AI, ML, GenAI and Agentic AI 🌟 Experience across Consumer & Retail, Energy & Utilities, Telecommunications or Public Sector would be a bonus. 💡 What makes this role different ...

computational biology strategy, aligning it with broader R&D and business goals Build, mentor, and grow a team of computational biologists, bioinformaticians, and ML scientists Partner closely with wet-lab biology, chemistry, clinical, and data engineering teams to embed computational thinking across the pipeline Drive the design and application … that directly influenced experimental or clinical decisions Deep fluency in at least one core area (e.g. genomics, proteomics, single-cell analysis, structural biology, or ML/AI applied to biology), with working knowledge across others Proven ability to build and scale teams, including hiring, mentoring, and setting technical direction Comfort ...

established international platform across the UK and Canadian markets. Day to day responsibilities include: Production System Health: Oversee, refresh, and retrain the live ML model suite without needing to overhaul the underlying architecture. Keep an eye on model performance and drift. Commercial Analytics: Monitor baseline UK/CA performance metrics … Stack: Advanced SQL and Python (or R ) skills to maintain existing codebases and pipelines. Model Stewardship: Practical expertise in monitoring, troubleshooting, and retraining live ML models. Autonomous Operator: High self-direction to manage daily BAU operations with minimal oversight. Clear Communicator: Able to translate complex technical issues into actionable business ...

Qureight Ltd. is seeking a Machine Learning Engineer to build, train, optimise and deploy state … computer vision models for 3D medical imaging. You will develop scalable inference pipelines, improve data loading and CI tooling, and collaborate with ML Scientists, DevOps, Data Engineering and Software Engineering teams. You'll work with Python, PyTorch, Docker and cloud environments to turn research models into robust production workflows that ...