2,351 to 2,375 of 3,528 Machine Learning Jobs in London

potential outages before they ever manifest.Deliver a simple, intelligent, and comprehensive platform that ensures unified and reliable observability across Alphabet by leveraging AI/ML for proactive insights and automated solutions, while providing personalized, adaptive user experiences.Build Cloud’s unified, enterprise-grade AI foundation that enables developers and organizations … product design, leading and shipping consumer mobile products.4 years of direct people management experience.Experience in building and shipping AI products, and integrating AI/ML technologies into user workflows, and using AI-driven tools to design workflows.Include a portfolio, website, or any other link to your work in your resume ...

phase of growth and lead complex transformation initiatives. The Role This is a combination of strong technical leadership, architectural ownership and delivery responsibility of ML systems (from backend infrastructure through to frontend integration). There is an ongoing migration from MLflow to AWS SageMaker, so you will be working closely … higher focus on people leadership (approximately 60/40 split - people leadership/hands-on). About you 10+ years in Software, Data, or ML Engineering 5+ years as a Tech Lead, managing teams of 5+, owning end-to-end technical delivery Proficiency with Python and MLflow Strong AWS/ ...

design reviews, and knowledge sharing, helping to raise the overall technical bar across the team and adjacent teams. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, including familiarity with AI‐driven systems, tools, or workflows and applying AI/ML concepts to real world products … using data and metrics to guide technical decisions and continuous improvement. Familiarity with AI‐driven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating and operating AI/ML‐enabled solutions that improve customer or business outcomes. Experience serving as a technical ...

phase of growth and lead complex transformation initiatives. The Role This is a combination of strong technical leadership, architectural ownership and delivery responsibility of ML systems (from backend infrastructure through to frontend integration). There is an ongoing migration from MLflow to AWS SageMaker, so you will be working closely … higher focus on people leadership (approximately 60/40 split - people leadership/hands-on). About you 10+ years in Software, Data, or ML Engineering 5+ years as a Tech Lead, managing teams of 5+, owning end-to-end technical delivery Proficiency with Python and MLflow Strong AWS/ ...

next-generation recommendation engines, conversational AI experiences, and personalization models for a large-scale digital platform. You will design, build and deploy production-grade ML models powering highly personalised customer experiences, including recommendation algorithms, retrieval systems and LLM-powered conversational AI. You will work closely with Product Managers, Engineers ...

London, UK is seeking a Solutions Architect to own the technical strategy for customers, lead architecture discussions, and drive platform adoption across data engineering, ML/AI, and real-time analytics. You will serve as a trusted advisor to customer technical leads, influence product direction, and orchestrate cross-functional resources ...

Enterprise Data Office Solution Architecture team, you will be the domain’s trusted authority for identifying, designing, and accelerating the delivery of production-grade ML, GenAI, and Agentic AI solutions. Your mission is to bridge the gap between high-level AI strategy and tangible business impact. You will lead … primary AI solutions architect and trusted advisor for the business function, supporting initiatives from ideation through to production. Ensure enterprise Data, ML, and AI architecture principles are applied pragmatically to deliver measurable business value. Solution Architecture & Design Partner with business stakeholders, product managers, and engineering teams to understand business ...

Research Manager for the Production Inference team, you will own both people leadership and technical direction for a team of research scientists and ML engineers working on performance-critical model serving systems. While this is not a hands-on coding role, you will be deeply involved in technical reviews, architecture … decisions, and research direction for the inference stack. You will: Lead and develop a high-performing team of research scientists and ML engineers, building strong development plans, fostering a candid and non-retaliatory feedback culture, and maintaining high standards of technical rigour and delivery. Own the team's research ...

Security Clearance (SC) and willing to work on site with these clients from time to time.About the roleAs a Lead AI/ML Engineer at Faculty, you will set the technical direction for complex AI/ML projects, ensuring models perform at scale and in production over time by balancing … accelerate delivery across multiple client engagements.Overseeing the delivery of large-scale AI-powered platforms while defining project roadmaps in high-risk environments.Facilitating alignment between ML, Data Science, and DevOps crafts to ensure agentic software is built on a reliable foundation.Managing and coaching a distributed team of engineers, setting development goals ...

collaboration, and raise the bar for model quality and operational excellence. What we’re looking for Deep expertise in speech, audio, or multilingual ML, particularly in ASR, MT, TTS, end-to-end ST, or large speech models. A hands-on builder who enjoys training models, running experiments, debugging pipelines … integrating ML systems into production. Strong understanding of real-time streaming constraints and how to design models that operate reliably at low latency. Experience shipping ML models to production, maintaining them at scale, and working with engineers on deployment, monitoring, and serving. Ability to lead complex research efforts while staying ...

into elegant, scalable storage solutions that exceed expectations Act as trusted technical advisor throughout the sales cycle Solution Design Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads Design for reliability, resilience, security, and scale—balancing performance with data protection Create BOMs, system architectures … solutions architecture, or technical consulting Proven track record designing storage/infrastructure solutions Hands-on experience with enterprise storage systems Experience with AI/ML infrastructure, HPC, or high-performance workloads (preferred) Success managing complex technical sales cycles What Sets You Apart Genuine curiosity about AI and its impact across ...

Security Clearance (SC) and willing to work on site with these clients from time to time. About the roleAs a Lead AI/ML Engineer at Faculty, you will set the technical direction for complex AI/ML projects, ensuring models perform at scale and in production over time … across multiple client engagements. Overseeing the delivery of large-scale AI-powered platforms while defining project roadmaps in high-risk environments. Facilitating alignment between ML, Data Science, and DevOps crafts to ensure agentic software is built on a reliable foundation. Managing and coaching a distributed team of engineers, setting development ...

teams to break down requirements, refine technical solutions, and deliver features iteratively while maintaining a strong customer focus. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, including personalization, recommendations, or automated insights, while ensuring responsible use of data and adherence to privacy and security standards. Demonstrate … familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, and adapt your Android engineering skills to work across multiple domains, services, or shared mobile components as needed. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field ...

sessions and support engineering handover We're looking for someone with: Generative AI/Agentic AI experience (essential) AWS, ideally SageMaker MLOps and production ML deployments Terraform and Infrastructure as Code CI/CD and DevOps practices Monitoring, alerting and operational support Location:Remote (UK based candidates only) Contract length ...

customer business challenges to cloud-based solutions Cloud Knowledge:• Understanding of core cloud services relevant to entertainment and broadcast workloads (compute, storage, databases, analytics, ML/AI, edge services, content distribution, and security)• Familiarity with cloud partner ecosystems and Professional Services capabilitiesOpportunity Development & Execution:• Identify, qualify, and close new opportunities … across compute, storage, AI/ML, media services, and content delivery workloads• Collaborate with teammates, industry specialists partners, and Professional Services to evangelize entertainment and broadcast cloud use cases• Maintain an accurate and healthy pipeline with reliable and accurate forecastingBasic qualifications- Bachelor's degree- Experience selling cloud solutions- Experience with ...

your ideas clearly and build strong relationships globally within the front office •Previous experience of agentic design (harnesses), MCP servers, and related AI/ML python libraries•Strong analytical, problem-solving, and architectural design skills, with an ability to operate effectively in a front-office environment•An academic background … Computer Science, or a related STEM discipline•Strong understanding of data fundamentals and their python implementations (numpy, polars, scipy)•Strong knowledge of AI/ML techniques with experience delivering related work into production•You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. ...

Build processes, and produce architecture strategy papers and executive investment narratives for senior Finance and Technology leadershipIdentify, evaluate, and prioritise opportunities to embed AI, ML, and GenAI within Finance processes, defining governance and control frameworksLead capability mapping, maturity assessments, and heat maps informing investment prioritisation; maintain oversight of the centralised … most senior executive leadersMethodical, detail-oriented, with deep familiarity with modern enterprise information architecture practicesAI Domain Knowledge: Conceptual understanding of AI/ML, GenAI, and agentic automation and their applicability to Finance use cases including anomaly detection, forecasting, and regulatory reportingAI Personal Productivity: Demonstrated ability to use AI tools effectively ...

Permit to Buildprocesses, and producearchitecture strategy papers and executive investment narrativesfor senior Finance and Technology leadership Identify, evaluate, and prioritise opportunities to embed AI, ML, and GenAI within Finance processes, defining governance and control frameworks Lead capability mapping, maturity assessments, and heat maps informing investment prioritisation; maintain oversight … most senior executive leaders Methodical, detail-oriented, with deep familiarity with modern enterprise information architecture practices AI Domain Knowledge:Conceptual understanding of AI/ML, GenAI, and agentic automation and their applicability to Finance use cases including anomaly detection, forecasting, and regulatory reporting AI Personal Productivity:Demonstrated ability ...

modern deployment approachesShape integration architecture across API-led and event-driven patternsGuide teams on data architecture, models and data flowsFind opportunities for analytics, AI, ML or GenAIPartner with senior stakeholders to translate business needs into architecture directionEnsure architecture standards and guardrails are applied consistentlySupport delivery teams and manage technical risksDrive … similar frameworksExperience working with global teamsDesirable CriteriaExperience in oil trading, refining or supply chainExposure to optimisation or analytics environmentsExperience with data platformsExposure to AI, ML or GenAIWhy Join Us At BP, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened ...

world’s leading trading firms, combining quantitative research, technology and trading expertise to solve complex problems at scale. As Machine Learning becomes increasingly important within our Systematic Equities business, we are investing in frontier research that can shape the next generation of models, infrastructure and research capabilities. With … learning community. Responsibilities Shape the long‐term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof‐of‐concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research ...

joining a team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise. We embrace modern ML tooling, including agentic workflows, to accelerate the pace of research iteration. This is an opportunity to push the boundaries of what generative modelling can achieve in complex … fidelity, and utility in guiding real-world interventions. Communicate findings clearly to colleagues and stakeholders from different disciplines. Professionally, you will have PhD in ML, statistics, computer science, or a related quantitative field. Deep expertise in generative modelling. Strong foundations in probabilistic modelling, representation learning, or neural network architectures ...

power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safetyDesign, develop, and deploy production-grade models using modern ML frameworks such as PyTorch , ensuring scalability and reliability in high-traffic environments Build and deploy production AI Agents using raw and fine-tuned foundational Large … Language Models (LLMs), along with sub-agents, tools, and MCP integrationsArchitect end-to-end ML pipelines, integrating data processing (e.g. Spark, Airflow) with model training, evaluation, and deployment workflows Drive experimentation frameworks, including A/B testing and offline evaluation, to continuously improve model performance and product outcomesPartner cross-functionally ...

product governance. Ensure scalability, resilience, and interoperability across the enterprise data ecosystem. Driving R&D Outcomes with Data & AI Lead integration of AI/ML and agentic intelligence into scientific and technical workflows. Identify high‐value AI use cases to enhance decision‐making and accelerate innovation. Ensure responsible, ethical … into clear, actionable delivery plans. Preferred Experience in consumer health, CPG, healthcare, or life sciences. Expertise in data architecture, ontologies, metadata, and AI/ML platforms. Knowledge of GenAI and agentic AI within scientific or technical domains. Job Posting End Date 2026-10-01 Equal Opportunities Haleon are committed ...

Posted on 03/11/2025 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 Job Description We are seeking an experienced Cloud Transformation Architect/.NET Technical ...

code review, debugging, system architecture decisions, and on-call incident response. UK engineers operate across many product areas: consumer apps, fintech, infrastructure, AI/ML, gaming, defence and healthcare. The career has a famously flat hierarchy — Senior Engineer is a destination role at most companies, paying £80,000–£140,000+ ...