76 to 100 of 176 Machine Learning Jobs in Central London

Role summary You will work as a generalist Data Scientist, combining strong classical data science foundations with solid Python engineering and familiarity with modern ML/LLM tooling. The role is hands-on and delivery-focused, with opportunities to ship work into production and iterate quickly. Key responsibilities Build ...

time AI interactions, knowledge retrieval, and automation. Optimize AI-powered UIs to ensure seamless and intuitive user experiences. Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications. Ship robust, minimal-dependency code that performs efficiently in enterprise environments. ...

sharpness in problem solving. Evidence of personal agency in driving toward net optimal outcomes. Strong machine learning priors, ideally with experience training ML models for production use-cases. Ability to hold large, complex systems in working memory and reason clearly about mechanics and failure-modes. Attention to detail. ...

years of relevant experience Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task in a fast paced environment while keeping strong attention to detail Coding ...

systems. Experience with high-throughput, low-latency systems is highly desirable. Familiarity with cloud platforms (AWS/GCP), NoSQL databases, big data analytics, or machine learning services is a plus. Growth mindset with a genuine desire to learn, grow, and contribute to building best-in-class backend systems. ...

architectures and emerging best practices. What youll bring Proven experience in line management and team leadership within a technical environment. Expertise in AI and Machine Learning, including agent-based AI, RAG (Retrieval Augmented Generation), multi-agent systems and conversational agents. Strong programming skills in Python, Java or .NET. ...

class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with BI tools (Tableau or similar) 2–6 years’ relevant experience and a strong ...

deploy scalable backend services powering AI agents. Design and implement APIs and pipelines to integrate agents into customer workflows. Collaborate with software and ML engineers to deploy cutting-edge models. Own the full lifecycle: from experimentation to deployment and monitoring. Contribute to technical strategy and mentor junior engineers. Requirements Strong ...

risk, and maintaining delivery momentum. Exposure to regulated or high-trust domains (Legal, HR, Finance, Healthcare) strongly preferred. Familiarity with Generative AI, RAG, or ML systems advantageous. Why Join? You'll play a pivotal role in ensuring Generative AI systems are delivered coherently, responsibly, and at scale-working alongside senior ...

limits of how machines understand and analyse complex software systems. You’ll be joining as the first platform Engineering hire , partnering closely with the ML and Product teams to design, build, and scale the infrastructure that powers advanced AI models. 🔧 What You’ll Be Doing Design, build, and operate Kubernetes ...

design, accessibility standards and code maintainability. Nice to Have Experience with server‐side rendering or static site generation (Next.js). Exposure to AI/ML integrations or advanced analytics in a front‐end context. Familiarity with GraphQL or micro‐frontend architectures or enterprise‐grade front‐end tooling. What We Offer ...

Design, and other engineers, and communicating clearly about progress, risks, and tradeoffs. Familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products, including thoughtful use of AI powered coding and productivity tools ...

other engineers, and communicating clearly about progress, risks, and trade-offs. Familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real-world products, including thoughtful use of AI-powered coding and productivity tools. ...

Level) who want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs , and more, while also applying real data science, ML, and MLOps skills in live enterprise environments. What You’ll Do: Work directly with enterprise clients to design and deploy custom AI agents Tackle complex business … problems with intelligent, scalable solutions Blend cutting-edge AI (LLMs, RAGs, co-pilots) with traditional data science and ML Be part of a mission-driven team that’s pushing boundaries in autonomous AI What You’ll Need: A strong foundation in data science and machine learning Hands ...

client is a boutique specialist technology recruitment agency focused on cutting-edge and future-facing technologies. They operate across rapidly growing markets including AI, Machine Learning, and Data, partnering with clients throughout the UK and US. Founded by the Managing Director of a world-renowned technology recruitment firm … year Casual dress code Duvet days Regular company incentives, including bi-annual luxury holidays for top performers Exceptional training programme with an annual personal learning budget Cycle to Work scheme Work from anywhere for up to 4 weeks per year The Role Source and qualify candidates for live vacancies ...

driven content moderation and trust & safety solutions for online platforms. Our platform empowers Trust & Safety teams with flexible workflows, moderation tooling, and cutting-edge machine learning to automate harmful content detection and policy enforcement at scale. We work with forward-thinking platforms across social media, marketplaces, gaming … plus What We Offer Equity options Remote work flexibility in the US and hybrid work in London Full health coverage (medical, dental, vision) Annual learning and development stipend Home-office budget to support your remote setup Generous PTO and local public holiday coverage Opportunity to shape the sales function ...

including front ends and decision-support toolsets, inclusive of native Palantir tooling and integrated front ends Collaborate with team members to implement AI and machine learning models against user problems Close working with clients, building deep and sustainable relationships that positions you/us as their “trusted advisor ...

Coding Mastery: Expert proficiency in Python (Polars/Dask/FastAPI) and/or C++ . AI Native: Proven ability to use LLMs and Machine Learning to solve complex financial time-series problems. Industry Standard Experience: You have worked with industry-standard large data before and understand ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering/Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe ...

enterprise automations using Power Automate, Azure Functions, and custom connectors Collaborate with stakeholders to translate business requirements into scalable technical solutions Drive AI/ML adoption using AI Builder, Azure Cognitive Services, and customer intelligence features Support governance, DevOps, CI/CD, environment strategy, and performance optimization Serve ...

About the job Our client is building AI systems that fundamentally change how financial institutions fight fraud and assess business risk. Their platform replaces slow, manual due diligence with intelligent agents that transform messy, unstructured ...

them? A couple of company stats: We have built start up hedge funds from a few people into $10BN+ industry leaders AI and Machine Learning Fin-Tech innovators from founding team members to 100+ Tech is great and all, but it needs clever people behind it to make ...

rewarding career. We work with a broad range of clients including the majority of the Tier One Investment Banks, SME tech companies in the machine learning/AI spaces, ESG investors and traditional asset managers so successful candidates will acquire a very broad knowledge base across all aspects ...