151 to 175 of 184 Machine Learning Jobs in the City of London

advanced AI systems that deliver real business impact. Responsibilities as a Principal AI Engineer: Lead end‐to‐end delivery of scalable, resilient AI/ML pipelines aligned to business goals. Build and deploy advanced ML, DL, and LLM solutions, including RAG, agentic architectures, and evaluation frameworks. Mentor engineers in ML ...

Lead Deep Learning Researcher – Hedge Fund I’m partnered with an industry-leading Hedge Fund that, after nearly 20 years of pioneering innovation and hiring some of the brightest minds in the market, is now looking to further its success through the latest advancements in deep learning . … NeurIPS, ICML, or ICLR. Hands-on experience applying deep learning models to complex, ideally temporal or financial, datasets. Expertise in Python and modern ML frameworks (TensorFlow, PyTorch, JAX, etc.). Prior experience in a commercial or industry setting post-PhD, ideally in a similarly data-driven domain. Why Apply ...

engineering workflow. Rapid Iteration: Comfort operating at extreme velocity in ambiguous environments. You know intuitively when to hack together a messy prototype for learning versus when to build robustly for production scale. Collaborative Mindset: Strong stakeholder communication skills. You can naturally gather requirements from non-technical users and explain … intensive domains, or high-volume publishing. Infrastructure Expertise: Deep understanding of modern cloud infrastructure, including containerisation, serverless architectures, and Infrastructure as Code (IaC). ML Intuition: A background in data science or ML engineering that provides intuition for embedding spaces, attention mechanisms, and evaluation methodologies. Production Observability: Experience with monitoring ...

across MLOps/LLMOps/AI governance Contribute to reusable frameworks and accelerators What youll need (must-have): Experience as an AI Architect/ML Architect/GenAI Architect Strong expertise in: Generative AI & LLMs, RAG (Retrieval-Augmented Generation), Agentic AI frameworks Hands-on with; LLMs (OpenAI, Llama, Claude, Mistral … Vector DBs (Pinecone, Weaviate, FAISS), Frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph) Strong Python + ML frameworks (PyTorch/TensorFlow) Experience deploying on AWS, Azure, or GCP Experience leading or influencing technical teams Nice to have: Experience in consulting/client-facing roles Exposure to bids, RFPs, or pre-sales Knowledge ...

with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology … apps, preferably Local AI. Drive fast, agile, and flexible solutions to deliver business outcomes with precision and adaptability. Strong technical understanding of AI/ML concepts, such as on-device inference, model optimization, edge computing, and privacy-preserving techniques, without requiring hands-on coding. Expertise in feature design, prioritization ...

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 ...

Innovation Team is a part of Toluna’s Insights and Innovation function. Responsibilities Be a subject matter expert on the application of AI/ML to solve common client problems Have a strong foundation in common statistical approaches used in market research and marketing Design and invent new, scalable approaches … successful involvement in designing new ways to solve client pain points. Experience using R or Python, Github, VSCode and common 3rd party AI/ML models Able to solve problems creatively and independently. Adaptable, proactive & comfortable with uncertainty Excellent communication skills, including the ability to understand and communicate technical concepts ...

Azure Data Lake). Familiarity with Microsoft Purview and broader governance practices. Dynamics 365 CE and FO integration and analytics. Exposure to AI/ML enablement in Microsoft ecosystem (e.g., Azure ML/AI Foundry/Azure OpenAI), particularly where analytics feeds AI-powered apps. Experience designing BI/data ...

practical, commercially valuable way. Stack: Python, PyTorch, LLMs, TensorFlow, scikit-learn, MLOps tooling What do you need? Strong experience as an AI Engineer/ML Engineer delivering production systems Hands-on experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) Proven experience deploying models into live environments Strong understanding of data ...

evolve infrastructure-as-code and automation for provisioning, orchestration, and lifecycle management Architect and improve CI/CD systems for both infrastructure and ML training workflows Optimize distributed training workloads (scheduling, resource utilization, observability) Partner with ML engineers and researchers to enable efficient experimentation and productionization Lead troubleshooting and resolution … tooling Strong understanding of distributed systems, networking, and system reliability Demonstrated ability to lead large technical initiatives and influence system design Experience supporting ML workloads or training pipelines (PyTorch, TensorFlow, etc.) Nice to have: Experience with multi-cloud or hybrid cloud environments Background in performance optimization for large-scale training ...

with auth data, payment flows, chargebacks, behavioural signals Transaction Monitoring (AML) Owning system performance. Rule effectiveness, typology coverage, backlog, false positives Working closely with ML models and monitoring frameworks Screening (Sanctions/PEP) Match quality, list coverage, tuning logic, global screening performance Detection Engineering/ML Systems Building monitoring frameworks … typologies and how they translate into detection logic Strong SQL. Complex queries, large datasets, no hand-holding Python for analysis and modelling (pandas, numpy; ML exposure expected) Experience building, tuning, or deploying detection systems (rules and/or models) Ability to think about systems end-to-end. Not just models ...

Microsoft Azure AI solutions using services such as AI Foundry, Open-AI, and Microsoft Copilot Studio. Apply governance frameworks to ensure responsible AI/ML model deployment. Use Python to automate processes and optimise workflows. Handle large datasets, including data preprocessing, feature engineering, and model evaluation. Lead the agile development … language models, prompt engineering, and RAG implementations. Strong skills in data analytics, MLOps practices, and API development. Knowledge of governance frameworks for AI/ML models. Python expertise for automation. Experience working with large datasets and deploying AI solutions in an agile environment. Desirable familiarity with Docker and Kubernetes. Join ...

.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 ...

small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible … system for millions of users Build convenient CI/CD processes and testing pipelines to support quick iterative development and system stability Work on ML model development with our team to build robust data pipelines and deploy ML models Analyse large corpora of data and build real-time recommendation systems ...

coding side due to the nature of the work, but it does come with its perks, for example; learning new AI & ML tools, as well as being part of the team integrating new analytical platforms. Reporting to the Lead Engineer, you will be looking at existing code, finding those ...

architecture, with a strong focus on Microsoft Fabric. This role is responsible for designing, governing, and modernizing data platforms to enable analytics, AI/ML, and BI across the enterprise. The ideal candidate brings hands-on Microsoft Fabric architect-level expertise combined with strong stakeholder engagement and governance leadership … . Define and govern conceptual, logical, and physical data models across enterprise data domains. Ensure data platforms support enterprise analytics, Power BI, AI/ML, and real-time use cases. Architect secure, scalable, and cost-efficient cloud-native data solutions on Azure, leveraging Fabric-native capabilities. Embed data governance, lineage ...

.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 (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) Since 2006 our client's ...

.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, 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 ...

.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 ...

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 ...

Senior Software Engineer | Java | AI | London | £500-£600/day About the Role We are seeking an exceptional Senior Software Engineer with expertise in Java and AI to join our client, an established financial services ...