251 to 275 of 287 Machine Learning Jobs in Central London

Procurement etc) and Industry-specific value streams Assess feasibility and ROI of AI-led transformation opportunities Define use cases involving LLMs, agentic workflows, RPA, ML models, and orchestration platforms Create reusable AI solution patterns across value chains 2. RFP & Proactive Deal Support Lead AI solutioning for: RFP responses Client proposals … sell and up-sell initiatives Required Qualifications 10–15 years of experience in Solution Architecture, Consulting, or Digital Transformation Strong understanding of AI/ML, LLM-based architectures, and intelligent automation Experience supporting RFPs and complex deal pursuits Experience across multiple enterprise value chains Strong financial modeling and business case ...

.NET Developer, C# 14 - Financial Consultancy - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS ...

instrumentation through to model deployment, monitoring, and iteration. This is an AI-native role, requiring genuine hands-on experience with LLMs, semantic search, and ML systems. The team is made up of product professionals from some of the most respected names in UK tech. The Role.... … product strategy and roadmap for data products, search, relevance, and AI-powered personalisation — translating complex data science and ML capabilities into member-facing features that are intuitive, trustworthy, and measurably impactful Define requirements for AI-powered ranking, recommendation, and search systems — including input/output specifications, confidence thresholds, fallback behaviours ...

instrumentation through to model deployment, monitoring, and iteration. This is an AI-native role, requiring genuine hands-on experience with LLMs, semantic search, and ML systems. The team is made up of product professionals from some of the most respected names in UK tech. The Role.... … product strategy and roadmap for data products, search, relevance, and AI-powered personalisation — translating complex data science and ML capabilities into member-facing features that are intuitive, trustworthy, and measurably impactful Define requirements for AI-powered ranking, recommendation, and search systems — including input/output specifications, confidence thresholds, fallback behaviours ...

enterprise AI solutions in the European market. REQUIRED QUALIFICATION S12–18 years of enterprise technology sales experience, with a strong track record in AI, ML, Conversational AI, or CX Automation solution selling .Minimum 5 years of direct experience selling AI/ML-powered platforms or intelligent automation solutions to enterprise ...

enterprise AI solutions in the European market. REQUIRED QUALIFICATION S12–18 years of enterprise technology sales experience, with a strong track record in AI, ML, Conversational AI, or CX Automation solution selling .Minimum 5 years of direct experience selling AI/ML-powered platforms or intelligent automation solutions to enterprise ...

high-impact, at the intersection of pricing strategy, digital commerce, and AI-enabled decision-making. You'll be working directly with commercial, analytics, ML, and product teams to translate data into clear pricing decisions, pressure-test recommendations, and help the business move faster with greater confidence. If you thrive … actionable insights. Translate complex commercial analysis into clear, decision-ready recommendations, including options, trade-offs, risks, and next steps for senior stakeholders. Partner with ML and data science teams on AI-driven pricing tools: defining business requirements, validating model outputs, identifying commercial edge cases, and translating outputs into practical actions. ...

.NET Developer (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS Living Standard, Programmer, Full Stack ...

.NET Developer (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer)In just over 5 years ...

.NET Developer - Fastest Growing Social Media Firm - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET ...

.NET Developer, .NET 10.0, C# 14 - Digital Download Site - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer ...

.NET Developer, .NET 10.0 - Social Networking Site - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET ...

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML ...

Junior .NET Developer - Online Film Rental Company - London (Tech stack: Junior .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect ...

engineering leadership role operating within a biomedical R&D environment. The successful candidate will lead a multidisciplinary team of approximately 20 AI Scientists and ML Engineers, setting the technical direction for foundation model development across multimodal biomedical data, including electronic health records, medical imaging, multi-omics, and imaging-derived datasets. … systems development with the scientific and commercial priorities of a global pharmaceutical organisation. Key Responsibilities Lead and develop a team of AI Scientists and ML Engineers focused on biomedical foundation model development. Set the technical vision and engineering standards for large-scale AI systems across multimodal biomedical data. Oversee model ...

engineering leadership role operating within a biomedical R&D environment. The successful candidate will lead a multidisciplinary team of approximately 20 AI Scientists and ML Engineers, setting the technical direction for foundation model development across multimodal biomedical data, including electronic health records, medical imaging, multi-omics, and imaging-derived datasets. … systems development with the scientific and commercial priorities of a global pharmaceutical organisation. Key Responsibilities Lead and develop a team of AI Scientists and ML Engineers focused on biomedical foundation model development. Set the technical vision and engineering standards for large-scale AI systems across multimodal biomedical data. Oversee model ...

with a small cross functional incubation team to transform early concepts into higher fidelity experiences and potential customer facing experiments, safely integrating AI/ML enabled solutions that improve outcomes. Synthesize and communicate key insights, learnings, and design directions through compelling storytelling to senior leaders and peers, transferring knowledge into … influencing cross functional stakeholders and leadership in a highly collaborative environment. Familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products, including integrating AI capabilities into end to end customer journeys. Preferred Qualifications Experience leading incubation, exploratory, or zero to one design ...

commercial performance into clear pricing decisions and measurable business impact. You'll sit at the intersection of commercial strategy, pricing, analytics, AI/ML tools, merchandising, and operations, helping shape pricing decisions through analysis, experimentation, and stakeholder influence. Key requirements: Strong experience in e-commerce/digital commerce/pricing …/commercial analytics Advanced analytical skills using SQL, Tableau (or similar BI tools), spreadsheets Experience working with AI/ML-driven pricing or recommendation tools Ability to translate complex analysis into clear commercial recommendations Strong stakeholder management and consulting-style problem solving Nice to have: Experience in subscriptions, marketplaces ...

partner teams, facilitating collaborative concept development, rapid prototyping, and clear communication that links vision, strategy, and execution. Safely integrate and operate AI/ML enabled solutions that improve customer and business outcomes, designing responsibly for automation, augmentation, transparency, and human oversight in AI driven experiences. Minimum Qualifications Bachelor's degree … senior stakeholders. Hands on experience using data, customer research, and AI driven systems, tools, or workflows to inform design decisions, including applying AI/ML concepts to real world products. Preferred Qualifications Experience leading the design of complex AI enabled or data rich products from early stage concept through scaled ...

buzzword here - it's part of how the team works day to day, from rapid prototyping with generative AI to ML models powering core pricing and personalisati on. What you'll br ing:A strong B2C product track record, ideally in growth and/or engage mentHands-on experience running … skin of user behaviour and motiva tionAnalytical rigour and a habit of breaking complex problems into testable solut ionsComfort working alongside data science and ML teams to turn models into customer-facing pro ductStrong leadership and stakeholder skills across cross-functional t eams If you're excited by the chance ...

buzzword here - it's part of how the team works day to day, from rapid prototyping with generative AI to ML models powering core pricing and personalisati on. What you'll br ing:A strong B2C product track record, ideally in growth and/or engage mentHands-on experience running … skin of user behaviour and motiva tionAnalytical rigour and a habit of breaking complex problems into testable solut ionsComfort working alongside data science and ML teams to turn models into customer-facing pro ductStrong leadership and stakeholder skills across cross-functional t eams If you're excited by the chance ...

platform usability and operational excellence matter. The work sits at the intersection of platform engineering, DevOps and MLOps, with close collaboration across data science, ML engineering, software engineering and architecture. The role requires comfort working 'in the weeds' - understanding how platforms behave under real workloads, and designing guardrails that balance … experimentation (including notebooks), packaging, deployment and versioning - Enable scalable inference and LLM-based workloads, including serving and optimisation considerations - Work with data scientists and ML engineers to ensure the platform is usable, well documented and fit for purpose - Own platform operability, reliability, security and supportability in live production environments - Troubleshoot ...

.NET Developer - .NET 10.0, C# 14, Blazor, Azure - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living ...

.NET Developer - Europe's Largest Radio Station Group - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living ...

clear story that the wider Great Yellow team and investor can back. Set and own the multi‐year technical strategy: architecture, stack, AI and ML direction, data and geospatial infrastructure, security and compliance. Lead the Tech vertical (Engineering, Product, Data and AI) as one integrated function, serving Trade, Capital, Nature … Operations to raise the technology bar and AI enablement across the whole company. Stay ahead of the tech landscape, particularly in AI/ML, data infrastructure, and geospatial. Pull what matters into our roadmap and use it to refine and grow our vision. Represent Great Yellow externally with investors, partners ...