226 to 250 of 605 Machine Learning Jobs in London

Software Engineer (Python/Django) About the role: We are working with an early-stage, AI-driven technology company building advanced platforms that leverage machine learning, NLP and large language models to solve complex research and data problems. The team is focused on developing scalable, intelligent systems , increasingly ...

into action.You’ll work within projects from data strategy sqand collection through to modelling, insight generation and activation, applying econometrics, regression, Bayesian statistics and machine learning to complex marketing and customer datasets.You’ll translate analytics into clear commercial recommendations, build dashboards and visual storytelling tools ...

record of working cross-functionally and influencing stakeholders Nice to Have Combination of vendor + banking/financial services experience Experience applying AI/machine learning within fraud or risk environments Exposure to fast-paced, high-growth or product-focused businesses What's on Offer Salary from ...

innovation and continuous learning. Communicating complex technical concepts clearly to non-technical stakeholders and project teams. Staying abreast of emerging technologies in data science, machine learning, digital twins and any other innovations relevant to the built environment. ABOUT YOU We value people who can think analytically and creatively ...

Actions Work with Data Engineering team to implement robust and trustworthy data to support high-performance Kafka streams and predictive models Deploy and maintain machine learning models as APIs for use in our live environments Employ a variety of languages and tools (e.g. scripting languages) to develop ...

Actions Work with Data Engineering team to implement robust and trustworthy data to support high-performance Kafka streams and predictive models Deploy and maintain machine learning models as APIs for use in our live environments Employ a variety of languages and tools (e.g. scripting languages) to develop ...

mapping them to solution capabilities. Highly comfortable discussing data analytics, forecasting methodologies (e.g., GA4 integration), and API capabilities with IT teams. Strong understanding of machine learning models and their application in demand forecasting and optimization. Proactive problem-solver with a strong ability to diagnose customer needs and propose ...

week. Key responsibilities Front end implementation for a React application Visualizing and interacting with scientific data and workflow progression Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure ...

week. Key responsibilities Front end implementation for a React application Visualizing and interacting with scientific data and workflow progression Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure ...

efficient cross-platform data sharing and analytics. Define target-state technical patterns for how multiple platforms co-exist or converge (data engineering, storage, ML/AI, BI, security, and governance). Contribute to the target architecture blueprint with concrete reference architectures, pattern catalogues, and technical guardrails. Propose migration approaches ...

capabilities are surfaced in the platform. About You 5+ years in software engineering. 1–3 years of experience in AI/ML or LLM-based development in a fast-paced startup environment. Proven track record building and deploying production-grade agentic systems — ideally automating complex, multi-step workflows. Hands ...

Learning, or Generative AI products Strong understanding of user-centric product development Experience with tools and platforms such as: AWS (AI/ML services) Hugging Face LLMs and Generative AI workflows Ability to work in fast-paced, ambiguous environments Strong stakeholder management and communication skills Commercial awareness ...

business intelligence company in Greater London seeks a Principal Data Scientist to enhance customer experience through AI and machine learning. Your role includes developing machine learning models, collaborating with various departments, and mentoring peers. Ideal candidates will possess an advanced degree, Python coding skills, and a growth ...

someone else to interpret later. I'm particularly keen to speak to you if your background includes: Hands-on data science using Python, ML Frameworks and modern tooling Experience with optimisation, simulation, machine learning, or advanced analytics applied to real systems Clear examples of models you've personally ...

/Developer (Python Machine Learning AWS) Remote UK to £90k Are you a data savvy Backend Software Engineer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands-on Backend Software Engineer role as part of a friendly and supportive ...

ensure our safety evaluations are accurate. Interpreting client needs is a major skill in this field; you will actively participate in this process, learning how to map real-world business risks to frameworks like NIST and MITRE ATLAS, whilst gaining hands-on experience deploying your code into cloud environments. … based on the findings. Collaborative Research: Support senior engineers in threat modelling by reviewing academic literature on AI failure modes and red teaming. Continuous Learning: Develop a deep understanding of AI risk frameworks (NIST, MITRE ATLAS, OWASP) and learn how to deploy testing infrastructure within AWS and Kubernetes ...

underwriting team, working on commercially critical models that directly influence pricing strategy, customer behaviour, and market competitiveness. The role offers strong ownership, rapid learning, and clear progression in a business that invests heavily in developing its data talent. The Company They are a European insurance provider operating … claim likelihood and response to pricing changes Translate analytical insights into practical recommendations that support new business growth Collaborate closely with other data scientists, machine learning engineers, and stakeholders across the business Your Skills & Experience Strong academic background in a quantitative subject such as Mathematics or Physics Excellent ...

global technology group is seeking a Principal Machine Learning Engineer to lead the evolution of data and ML capabilities. The role involves designing and implementing scalable data pipelines and mentoring a cross-functional team. The ideal candidate will have extensive experience with distributed data systems, ETL designs ...

narratives. Take an insight‐led approach to bring industry best practices in data and AI to shape and guide clients’ strategic transformations. Architect data, ML, and GenAI solutions on Google Cloud. Own scoping, estimation, and writing of Statements of Work and RFP responses in collaboration with Sales and Delivery. Support … Enable Sales and Delivery teams on industry trends, discovery patterns, and Datatonic accelerators. What You Bring 7–12 years of experience in data, analytics, ML, or cloud engineering/architecture, including in large scale digital/data/AI transformations, with at least 3 years in a pre‐sales ...

strategy through data insights Act as the central point of contact for operational data AI & Future Capability Development Lay the foundations for AI and machine learning applications across the portfolio Explore use cases in forecasting, anomaly detection, and automated optimisation (technical & commercial) Support the long-term digital … operational asset data systems Understanding of solar PV and/or BESS performance metrics is advantageous Exposure to or strong interest in AI/ML applications Desirable attributes: Ideal candidate should be a strong self-starter given they will be responsible for building out and overseeing this new business capability ...

best practices in software development, system scalability, security, and compliance with healthcare regulations Drive innovation through evaluating and integrating emerging technologies, particularly AI and machine learning Manage cloud infrastructure, DevOps processes, and overall system reliability Maintain robust data privacy and security standards in compliance with regulations such … building and scaling telehealth or digital health platforms including web and mobile applications Strong understanding of AI technologies and ability to integrate AI/ML into healthcare products Experience with cloud platforms such as AWS, Google Cloud, or Azure and DevOps practices Knowledge of healthcare data privacy standards including GDPR ...

Digital Workforce. In Sprint Reply we combine anexecution orientedengineering approach with strong experiences on 4 technology families, Robotic Process Automation, Computer Vision & ICR, AI & Machine Learning and Process Mining, dedicating constant attention to R&D on various Artificial Intelligence issues. www.sprint.reply.com Role Overview: As a Principal Solution Architect … solutions. Deep technical authority with a hands-on, consultative mindset, able to set architectural direction and foresee emerging trends. Advanced knowledge of AI and ML technologies, including generative AI, agentic architectures, RAG pipelines, LLM integration, and responsible AI governance. Strong multi-cloud expertise with GCP, AWS, and Azure, including serverless ...

prevent illicit activity. Data Engineering & Analysis Work with large, complex financial datasets; extract, transform, and analyse data to identify suspicious behaviour and risk patterns Machine Learning & AI Build and support models designed to detect fraud, money laundering, and other financial crime risks Financial Crime Use Cases Apply your … salary + benefits Hybrid working model (Shoreditch-based) Exposure to a wide range of financial services clients Fast progression within a specialist consultancy Strong learning curve across both technical and financial crime domains Apply Now To apply, please submit your CV or contact Anson McCade for a confidential discussion. ...

LCAP) + Digital Process Automation (DPA) & Workflow Orchestration + Conversational Interfaces (chatbots, virtual assistants, copilots) + Cognitive Capture & Computer Vision + Intelligent Decisions & Automated Machine Learning + Generative AI & Large Language Models (LLMs) + Agentic AI (multi-agent orchestration, autonomous workflows, agent-to-agent protocols) + Vibe Coding … innovation velocity with security, maintainability and governance requirements* Explore agentic AI design patterns, including autonomous workflow execution, human-in-the-loop orchestration, and self-learning agent capabilities, to identify high-value use cases for the corporate domains* Develop and run proof-of-concept initiatives to demonstrate value of potential ...

sales and engineering to refine offerings Requirements Experience in Solution Engineering, Pre-Sales, Sales Engineering or Technical Consulting Strong knowledge of LLMs, Generative AI, Machine Learning Hands-on with LangChain, OpenAI, GPT or similar tools Programming experience in Python Experience with APIs, integrations and REST services Cloud exposure ...