276 to 300 of 439 Machine Learning Jobs in London

product area Shape product & commercial strategy with data-led insights Design, run, and evaluate A/B tests end-to-end (3-5 per quarter) Partner with Product, Engineering & ML teams Help build self-serve analytical capabilities What you'll bring Strong SQL (day-to-day level) Python exposure (nice to have) Experience with BI tools (Looker/PowerBI/ More ❯

organisation, ensuring they are translated into real, scalable business impact. This is not a research role; it's about turning AI into real-world value. You'll consolidate existing ML and AI Ops teams under one function, shaping how the organisation delivers, governs, and scales AI, including generative and agentic technologies, end-to-end. Skills and Experience Proven leadership experience More ❯

market-defining AI products, and progress toward CTO-level responsibility . If you thrive on hands-on coding, innovation, and entrepreneurial impact , this role is for you. Keywords: AI, ML, LLM, RAG, Multi-Agent Systems, VP of Engineering, Python, Node.js, Cloud, MLOps, Proptech, Scale-Up, Startup, Entrepreneur, Aspiring CTO More ❯

with quantum compilation and Tensor Network methods. Strong programming skills (preferably in Python) and a familiarity with at least one practical quantum computing framework (e.g. Qiskit). Experience with ML frameworks (PyTorch, TensorFlow) is a plus Excellent communication and presentation skills. Benefits We offer competitive compensation with significant equity and benefits. Join a diverse, flexible workplace building the future of More ❯

SaaS | Hybrid (London) LEAD Full Stack Developer role- Essential: Proven experience working with LLMs (e.g., OpenAI, Anthropic, Hugging Face) or applied AI projects. Nice to have: Broader AI/ML exposure, such as model fine-tuning, prompt engineering, or integration into production systems. Join a profitable, fast-growing SaaS company going through a major tech transformation. After 15+ years of More ❯

their digital ecosystem.This is a greenfield opportunity to establish enterprise-wide data governance frameworks, design scalable data platforms. You'll define architectural standards that enable advanced analytics, AI/ML capabilities, and regulatory compliance while solving complex data integration, quality, and lineage challenges. Deep knowledge of Microsoft data technologies - including Azure Data Lake, Synapse Analytics, Fabric, and Power BI. This More ❯

They Do Place 6,000+ tech professionals worldwide every year — from full tech teams to C-suite leaders (CTOs, CIOs) Deliver top talent in cutting-edge areas: AI/ML, Cloud, Cybersecurity, Data, IoT, AR/VR, DevOps, Blockchain, UX/UI, and Computer Vision Offer end-to-end solutions: Contract, Contract-to-Hire, Executive/Perm Search, Statement of More ❯

live market data to identify trading opportunities and spread dislocations; Perform backtests on option spread strategies portfolio optimizations and against multiple underlyings; Collaborate with the quant team to enhance ML pipelines and expand statistical toolkits for research and production use. Qualifications 5+ years in Quantitative Research/Trading; background in a top-tier proprietary trading firm or hedge fund is More ❯

of Google Contact Center AI and Vertex AI platform, & co-founder, Tim Shi, an early member of Open AI. We've assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox More ❯

Amazon launched the Generative AI (GenAI) Innovation Center (GenAIIC) in Jun 2023 to help AWS customers accelerate enterprise innovation and success with Generative AI (). Customers such as Highspot, Lonely Planet, Ryanair, and Twilio are engaging with the GAI Innovation More ❯

deploying machine learning models into production Strong hands-on Python and SQL skills Experience working in cloud environments (GCP preferred) Deep understanding of experimentation, evaluation, and scalable ML design Ability to mentor others and influence technical direction without formal line management If you're looking for a role where you can remain hands-on while owning major technical More ❯

leading LLMs (GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere). Experiment with advanced prompting techniques; Chain-of-Thought, ReAct, Tree-of-Thoughts, and more. Deploy AI/ML pipelines using Azure ML, AWS SageMaker, Vertex AI, or Databricks. Integrate LLMs into production apps using LangChain, LlamaIndex, and RAG architectures. Build APIs and microservices for scalable AI deployment. Use … Nice to Have Experience with PromptOps tools (PromptLayer, Humanloop, LangFuse). Knowledge of ethical AI, bias mitigation, responsible AI principles. Bachelors or Masters degree in Computer Science, AI/ML or related field. Tech Stack LLMs: GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS More ❯

and similar agentic frameworks. Develop experiments for LLM fine-tuning, retrieval-augmented generation (RAG), and multi-agent AI workflows . Deliver production-grade Python code using advanced data science, ML, and analytics libraries (eg, Pandas, NumPy, Scikit-learn, PyTorch, Hugging Face Transformers, Pydantic ). Document and communicate AI designs, decisions, and experiment outcomes to both technical and non-technical stakeholders. … Lead the design and deployment of automated AI performance evaluation frameworks. Required Qualifications Master's or Ph.D. in Computer Science, Data Science, AI/ML, Mathematics, or related field . 5+ years of experience in Applied data science. with at least 2+ years focused on Generative AI/LLMs . Strong experience in Databricks data engineering and ML workflows. Proficiency … in the Azure AI/ML ecosystem , including MLOps and data management best practices. Demonstrated expertise in: Python (advanced) AI/ML libraries (PyTorch, Hugging Face, Scikit-learn, TensorFlow, optional) Prompt engineering and fine-tuning LLMs for task-specific use cases Familiarity with LangChain, LangGraph, MCP, or other agentic frameworks for building AI applications. Excellent communication and stakeholder management skills. More ❯

a supportive, quality-driven culture. Roles and Responsibilities This role sits within a small, high-impact platform team responsible for building and scaling the backend systems that power a machine-learning driven ad-fraud prevention platform. You'll work extensively with Python and large-scale data sets, supporting model training on billions of data points, delivering features to … Interview Process: 30 Minute Chat - Introductory Conversation Technical Challenge - Live Coding Technical Session Cultural Fit Join a fast-moving engineering team working with Python, big data, and cutting-edge ML to power a high-scale ad-fraud prevention platform, apply today. More ❯

data science team, fostering a culture of innovation and collaboration. Team Development: Mentor and develop a diverse team of data scientists, empowering them to leverage cutting-edge techniques in machine learning and analytics. Cross-Functional Collaboration: Work closely with marketing, product, and research teams to translate data insights into actionable strategies that enhance brand loyalty. Insight Generation: utilise … role in shaping how brands connect with their audiences, driving meaningful engagement and loyalty. Career Growth: Our client believes in investing in our employees' professional development, providing opportunities for learning and advancement. LHH is an employment consultancy that believes in talent, not labels. It is important to us that we run inclusive recruitment processes to support candidates of all More ❯

public safety, or similar sectors. Strong background in data engineering and data architecture, including experience with large-scale data integration, ETL processes, and automation. Familiarity with data science and machine learning concepts, especially as applied to risk modelling and predictive analytics. Experience with cloud platforms and modern data tools (e.g., Microsoft Fabric, Power BI, R Studio). Understanding More ❯

and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong programming experience in Python with excellent data manipulation skills (pandas/polars). Solid statistical or machine-learning background, with experience applying these techniques to football data. Hands-on experience with events and/or tracking data. Understanding of advanced football analytics (e.g., possession value More ❯

within a law firm Technical proficiency in adopting and implementing new technology Experience with collaboration software applications such as HighQ, Legatics, SmartSheet, or SharePoint Knowledge of generative AI or machine learning based legal software such as Harvey, CoCounsel, and Kira would be highly advantageous Experience with document automation software such as Contract Express, Hotdocs, PatternBuilder or Office & Dragons More ❯

Have Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Pay & Logistics Base Rate : Up to $15/hour USD, depending on experience. Bonuses : Additional pay available based on project performance. Type : Freelance More ❯

Have Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Pay & Logistics Base Rate : Up to $15/hour USD, depending on experience. Bonuses : Additional pay available based on project performance. Type : Freelance More ❯

Have Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Pay & Logistics Base Rate : Up to $15/hour USD, depending on experience. Bonuses : Additional pay available based on project performance. Type : Freelance More ❯

Have Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Pay & Logistics Base Rate : Up to $15/hour USD, depending on experience. Bonuses : Additional pay available based on project performance. Type : Freelance More ❯

Have Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Pay & Logistics Base Rate : Up to $15/hour USD, depending on experience. Bonuses : Additional pay available based on project performance. Type : Freelance More ❯

Have Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Pay & Logistics Base Rate : Up to $15/hour USD, depending on experience. Bonuses : Additional pay available based on project performance. Type : Freelance More ❯

Have Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Pay & Logistics Base Rate : Up to $15/hour USD, depending on experience. Bonuses : Additional pay available based on project performance. Type : Freelance More ❯