1,351 to 1,375 of 2,608 Machine Learning Jobs in London

relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the roleWe're entering a once-in-a-company moment: a major step-change ...

relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the roleWe're entering a once-in-a-company moment: a major step-change ...

technology suppliers, research partners, SaaS providers, cloud services and outsourced security providers. Establish practical cybersecurity guardrails for the safe adoption of AI, machine learning and emerging technologies, particularly where sensitive data, research information or intellectual property may be involved. Own, maintain and improve cybersecurity policies, SOPs and control ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role As we continue to build upon the diversity of our team ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role As we continue to build upon the diversity of our team ...

team within AI Foundations. We build the shared platforms, harnesses, and guardrails that enable engineering and product teams to safely, reliably, and deterministically use machine learning and generative AI agents for internal systems and workflows across the business. This is a delivery‐focused team that sits ...

execution algorithms, transaction cost analysis, market structure or one or more financial asset classes. Experience with data visualisation tools such as Tableau. Exposure to machine learning, predictive analytics or advanced statistical techniques. Fluency in one or more European languages. Benefits of working at Bank of America (UK) Private ...

working closely with product leaders to understand the full product lifecycle and strategic considerations, and good knowledge of SaaS Product metrics. Understanding of machine learning concepts and experience with implementing predictive models to forecast product performance and user behavior. Being able to be hands on to unblock your ...

Google is seeking a Senior Data Scientist in London to design statistical, ML, and AI tools for reliability infrastructure. You will influence engineering priorities and work with the Platform Reliability Engineering organization on change supervision and rollouts. You will collaborate with engineering and product teams, build data pipelines, and gain ...

seeking a Software Engineer, Senior Associate, in the LLM Suite Engineering team. You will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform, writing secure, production-ready code and supporting algorithms that integrate with existing systems. You will collaborate with senior engineers ...

hiring a Senior Dev/MLOps Engineer to join their Data & Compute Platform team in London. This role involves managing the lifecycle of ML models and infrastructure, building CI/CD pipelines, ensuring system reliability and security, and collaborating with cross-functional teams. Candidates should have strong Python skills ...

reliable data solutions across both batch and real-time environments. You'll be involved in data engineering initiatives supporting modern analytics and AI/ML capabilities, working closely with technical and business teams to deliver secure, high-quality data solutions. The role offers a good mix of hands-on engineering ...

optimisation initiatives Mentor junior engineers and contribute to technical best practices Key Requirements: Strong Python engineering experience Commercial experience building production-grade AI/ML systems Hands-on experience with RAG architectures and LLM workflows Experience with LangChain, LangGraph, and/or Llama Index Understanding of evaluation methodologies for generative ...

Posted on 09/12/2025 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description Overview We are seeking an experienced Android Developer with strong Kotlin expertise ...

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 ...

Posted on 08/12/2025 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description Overview We are seeking an experienced VMware Infrastructure Engineer with strong technical expertise ...

Desirable Skills for the Azure Solution Architect: Experience with Digital Twin implementations Knowledge of Grafana and InfluxDB Experience using Python Exposure to AI/ML or GenAI technologies If you are an experienced Azure Solution Architect with strong IoT integration experience looking to lead enterprise-scale cloud initiatives, please apply ...

expertise in system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages and technical disciplines (cloud, AI, ML, etc.) Ability to tackle design and functionality challenges independently Demonstrated experience with enterprise‐authorized AI‐assisted software development tools Strong understanding of responsible AI use, including ...

including Git, testing, CI/CD, and configuration-as-code. Proficiency in SQL, PostgreSQL, JSON/YAML, and Python. Experience in developing AI/ML solutions using third-party platforms and APIs. Systems thinking with experience in running production data or AI systems. Knowledge of RESTful APIs, cloud services ...

following: Bachelor's or Master's in Computer Science, AI, Data Science, Engineering/Management (advanced degree preferred). Significant experience delivering AI/ML in enterprise environments with proven ownership of multi phase or multi pod programs. Deep applied experience across LLMs/NLP, agentic systems , retrieval architectures, robust ...

following: Bachelor's or Master's in Computer Science, AI, Data Science, Engineering/Management (advanced degree preferred). Significant experience delivering AI/ML in enterprise environments with proven ownership of multi phase or multi pod programs. Deep applied experience across LLMs/NLP, agentic systems , retrieval architectures, robust ...

computer vision Implement user-facing frontends in TypeScript/React, working closely with product Design scalable APIs and systems that interface with our ML pipelines and edge device fleet Collaborate on infrastructure and architecture decisions from the ground up Tackle problems involving distributed systems, real-time processing, and high availability ...

performance, scalability, and cost-efficiency Maintain thought leadership by tracking advancements in AI architectures Qualifications 7+ years in enterprise architecture or AI/ML engineering Experience with cloud environments (AWS, Azure, GCP) Knowledge of AI governance and MLOps tools Work Environment A truly hybrid and flexible working environment, with ...

tradeoffs, drive decision-making and manage escalations. Partner closely with engineering teams to perform technical due diligence evaluate architectural scope, and leverage AI/ML technologies and data infrastructure to accelerate program execution and optimize user pathways at scale. Minimum qualifications: Bachelor's degree in a technical field, or equivalent ...

tradeoffs, drive decision-making and manage escalations. Partner closely with engineering teams to perform technical due diligence evaluate architectural scope, and leverage AI/ML technologies and data infrastructure to accelerate program execution and optimize user pathways at scale. ...