401 to 425 of 723 Machine Learning Jobs in London

/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 ...

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 ...

Data Scientist - Hybrid (London) - Up to £70k - Permanent We are supporting a fast-growing, consumer-focused organisation that is investing heavily in data, machine learning, and AI to drive commercial performance and operational excellence. They are looking for a technically strong and commercially minded data professional to lead … modelling Experience building and deploying end-to-end predictive models from scoping through validation and stakeholder communication Hands-on experience deploying and monitoring ML models within a cloud environment (Azure experience highly desirable) Marketing Mix Modelling experience isn’t necessarily essential but they’re looking for someone with a strong ...

design of intuitive, ethical, and transparent AI-powered experiences for UK Government and Defence customers. This role involves bridging the gap between complex machine learning capabilities and user-centric, research-driven design. Key Responsibilities AI Experience Design: Design intuitive interfaces for AI features, applying Human-Centred AI (HCAI … experience in User-Centred Design (UCD) methodologies and translating research into wireframes and interactive prototypes. AI Specialization: Hands-on experience designing for AI/ML products, including handling complex data-rich platforms. Strategic Thinking: Ability to bring structure to complex problems and articulate design rationale to senior technical ...

cloud-native security practices and experience integrating security controls into CI/CD pipelines, helping support ongoing digital transformation and automation initiatives. AI/ML in Security Operations - Exposure to leveraging artificial intelligence or machine learning techniques to improve threat detection, incident analysis, or automated response capabilities within ...

primary-sourced databases, a wealth of key survey and forecast data from our industry partners, and a robust offering of archive databases that drive machine learning for big data applications. We continuously display up-to-the-minute data from over 2500 government and private sources via integration with … economists, data scientist, strategists and risk managers within the corporate marketplace and public sector. This is an exciting opportunity for anyone interested in learning the business of professional big data analytics, risk management and economic research. The Account Representative position is full time and will be based ...

experience delivering system design, application development, testing, and operational stability, particularly in cloud environments. xkybehq Advanced knowledge of cloud-based systems, artificial intelligence, and machine learning, with considerable in-depth knowledge in implementing solutions using AWS. Practical cloud-native experience, specifically with AWS. Experience with RAG-based semantic ...

client is hiring a number of consultants to shape the future of Machine Learning, Generative AI, and Agentic AI. Were looking for innovative engineers and consultants who want to build real-world AI systems that go beyond experiments from rapid prototyping MVP production-grade solutions. In this role ...

please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Javascript, Python, Electronics, FPGA, Golang Development, Machine Learning, Data Science or Simulation contact us today. ...

domains. Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data ...

domains. Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data ...

learn → you apply → you grow. What you’ll be doing: Depending on project, you’ll work across: Data Analytics Business Intelligence Data Engineering AI & Machine Learning You’ll help businesses: Analyse large datasets Build dashboards and reports Automate processes Create insight that drives decisions Tech ...

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 ...

. Ability to design and implement high-performance, scalable backend solutions. Solid understanding of web security best practices. Preferred Skills: Familiarity with AI or machine learning concepts, particularly in integrating AI into professional workspaces. Experience working with real-time systems , messaging queues, and event-driven architectures. Knowledge ...

Lead business development activities including client relationship building, proposal development and strategic growth initiatives. Manage and mentor teams delivering data science, generative AI, and machine-learning-based products. Oversee end-to-end project delivery, ensuring alignment with timelines, budgets and agreed scope. Promote responsible AI by implementing strong ...

Lead business development activities including client relationship building, proposal development and strategic growth initiatives. Manage and mentor teams delivering data science, generative AI, and machine-learning-based products. Oversee end-to-end project delivery, ensuring alignment with timelines, budgets and agreed scope. Promote responsible AI by implementing strong ...

application development, testing, and operational stability, particularly in cloud environments.Advanced proficiency in Java/Python programming.Advanced knowledge of cloud-based systems, artificial intelligence, and machine learning, with considerable in-depth knowledge in implementing solutions using AWS.Ability to tackle design and functionality problems independently with little to no oversight ...