376 to 400 of 696 Machine Learning Jobs in London

will use the OneLondon Secure Data Environment to link prescribing and microbiology data across care settings, and to support analytics and AI/machine learning tools that can be evaluated and scaled.You will be responsible for programme delivery and day-to-day coordination across clinical, research, information governance ...

adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do Work as a full-stack software engineer, coding, developing ...

develop Microsoft Azure AI solutions using services such as; AI Foundry, Open-AI services, and Microsoft Copilot Studio. Apply governance frameworks for AI/ML models. Python knowledge to automate processes Large datasets experience, including data preprocessing, feature engineering, and model evaluation. Agile development of AI solution from concept ...

Product Manager. Core Tech Stack : Expert-level Python (Backend) and Angular (Frontend). Experience : 5-15+ years of development experience. AI/ML Focus : Experience with Large Language Models ( LLMs ), agentic development, Vertex AI , and vector databases (semantic search). Additional Skills : Java, Kotlin, and Go are 'nice ...

measures success, and makes decisions. You will own the data stack end-to-end and work at the intersection of analytics, engineering, and applied machine learning. The Opportunity This is a high-impact, high-autonomy role where you will design, build, and scale the company's entire data capability ...

upsell opportunities, driving revenue growth and expanding market share. Platform engineering, microservices, reusable AI components, ontologies, knowledge graph engineering. Data and AI engineering, ML pipelines. Client analytics experience. AI-enhanced document and workflow automation on Cloud Enable agentic workflows, including automated processing of unstructured data and documents as well ...

response accuracy • Partner with product and engineering on chat flows and continuous improvement • Contribute to AI platform architecture and best practices • Mentor junior ML/AI engineers (no formal line management) Key details • Salary: £80,000 base + 10% bonus • Pension: 5% matched • Working model: Hybrid, 3 days per week ...

Desirable Skills for the Azure Solution Architect: Experience with Digital Twin implementations Knowledge of Grafana and InfluxDB Experience using Python Exposure to AI/ML or GenAI technologies If you are an experienced Azure Solution Architect with strong IoT integration experience looking to lead enterprise-scale cloud initiatives, please apply ...

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 ...

testing across AI services. * Contribute to engineering design patterns, security practices, and technical documentation. Your Skills and Experience * Strong commercial experience in Data Engineering, ML Engineering, or Software Engineering with a focus on AI systems. * Deep hands-on expertise with GCP services, including Vertex AI, BigQuery, Cloud Run or Cloud ...

Azure Data Factory. * Drive DevOps best practices including CI/CD, automated testing and infrastructure as code. * Collaborate closely with data engineers, ML engineers and wider technical teams to deliver robust platform capabilities. * Take ownership of key data platform projects and influence engineering direction. * Provide technical leadership and ensure standards ...

improvements to existing client-facing products. Contribute to a major project building a new data pipeline and improving the platform's ability to support ML and AI workflows. Collaborate closely with Data Science and Engineering teams to bring complex data to life in intuitive interfaces. Take ownership across the stack ...

AI. Support the development of agentic automation across core claims workflows and internal tools. Your Skills and Experience Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with a focus on AI systems. Deep knowledge of GCP services, including Vertex AI, BigQuery, Cloud Run or Cloud Functions, Model ...

AI. Support the development of agentic automation across core claims workflows and internal tools. Your Skills and Experience Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with a focus on AI systems. Deep knowledge of GCP services, including Vertex AI, BigQuery, Cloud Run or Cloud Functions, Model ...

/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data/AI workflow orchestration in Databricks or similar ecosystems ...

debugging skills. Good to Have Skills Knowledge of AWS Lake Formation , Kafka/Kinesis , Airflow , or Delta/Apache Hudi . Experience with ML workflows in telecom (churn, network prediction). Exposure to 5G network data models ...

/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data/AI workflow orchestration in Databricks or similar ecosystems ...

experience, with a strong track record building and scaling B2B data-heavy or analytics platforms in complex enterprise environments. Demonstrated experience shipping AI/ML-enabled products , ideally within forecasting, simulation, or decision-support systems. Background in pharma, biotech, or other highly regulated, science-driven sectors advantageous, with appreciation ...

Must have experience building data engineering pipelines in Azure Experience in Azure including Azure Fabric, Data Factory and Azure integrated services such as ML Studio, Foundry, Synapse, Cosmos Deep expertise in deploying and scaling generative AI solutions within Azure, including proficiency with databases, Prompt Flow, virtual machines, and Azure Foundry. ...

around experimentation, high standards and rapid feedback loops You'll work closely with senior engineering leadership who have previously scaled large distributed systems and ML-driven platforms at global technology companies. Tech Environment Backend systems currently built in Python, looking to move to Golang or Rust Typescript Cloud-native architecture … BigQuery, Cloud Run) Extensive use of ML modelling and LLM inference Robotics and IoT integrations across operational workflows What You'll Do Own engineering problems end-to-end across backend and systems architecture Contribute to optimisation engines and real-time decision systems Work across the stack, from infrastructure to operational ...

Identify and deliver high-impact AI, analytics, and digital solutions from concept to operation. Lead end-to-end design and delivery of digital and machine learning products. Inspire multi-disciplinary teams across technology, process, and people. Set technical best practice and translate complex ideas for non-technical audiences. … clients to embed lasting change. Skills: Deep expertise in AI, data science, advanced analytics, or digital engineering. Proven experience delivering production-ready digital or ML solutions. Strong capability with modern languages, data platforms, and cloud tools. Ability to integrate technology into real-world business processes. Confident leader and collaborator with ...

London, UK) Contract Duration : Initial 612 months Rate : Competitive Why this role? Real-World Impact: Build models that directly influence live fleet operations Applied ML Focus: Time-series, geospatial data, optimisation problems Complex Systems: High-volume, real-time operational data Autonomy: End-to-end ownership from modelling to deployment About … improve models in production Participate in technical discussions, code reviews, and agile delivery Required Skills & Experience Essential 36+ years commercial experience in Applied ML or Data Science Strong Python (pandas, numpy, sklearn or similar) Strong SQL Experience building and iterating on predictive models Conditional (must meet at least ...

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. ...

business transformation. This includes: Core Google Cloud Platform (GCP) Solutions Google Cloud Platform (GCP) – compute, networking, serverless, containers Vertex AI, GenAI, AI/ML Platforms – advanced AI solutions and managed services BigQuery & Data Analytics – data warehouses, analytics pipelines Anthos, Kubernetes & Cloud Infrastructure modernisation Security, governance, and compliance tooling Integration with … Google Workspace and collaboration platforms Searce Services You’ll Represent Cloud modernisation & migration consulting Data & analytics implementation Applied AI & machine learning solutions Full-stack engineering and product delivery Future of work transformation using collaboration platforms Managed cloud services & ongoing optimisation You will engage CxOs and enterprise stakeholders ...

on. 🔥 What you’ll be doing Building and improving demand forecasting models across fast-moving product lines Using time-series methods, regression and applied ML to predict real-world demand Running scenario modelling around promotions, pricing and seasonality Analysing customer behaviour and commercial drivers to improve forecast accuracy Owning forecast … Platform Engineering to ship production-ready models 🧠 What we’re looking for Educated to at least degree level in a relevant subject; Mathematics, Statistics, Machine Learning, Computer Science, Physics, Chemistry, Economics, Engineering etc. 1–3 years’ experience as a Data Scientist in a D2C, ecommerce or consumer environment ...