801 to 825 of 2,927 Machine Learning Jobs in London

maintain scalable data pipelines and infrastructure. You will be responsible for transforming raw data into reliable, high-quality datasets that fuel analytics, reporting, and machine learning initiatives. The ideal candidate is passionate about data quality, automation, and solving complex data challenges in a collaborative environment. Key Responsibilities: Design ...

design and implementation of Microsoft Azure AI and Generative AI solutions. Develop enterprise solutions using Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning and Azure services. Design and implement RAG, vector search, AI agents and LLM-based applications. Integrate AI solutions with enterprise data, applications ...

cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where ...

design and implement AI‐native software in production environments Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL) Machine Learning: Foundations of MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark ...

configurations and content managed through Infrastructure-as-Code and DevOps principles. AI – Drive the adoption of emerging AI capabilities across security operations, leveraging machine learning, generative AI, agentic workflows, and Retrieval-Augmented Generation (RAG) to enhance analysis, automate decision-making, and accelerate security response. As the successful candidate ...

with containerization and orchestration (Docker, Kubernetes/GKE). Exposure to other data platforms such as Snowflake, Databricks, or Kafka. Experience supporting AI/ML workloads or Vertex AI pipelines. Bits In Glass (BIG) operates as a rapidly expanding AI and automation consultancy, maintaining presence throughout Canada, the United States ...

Data Science. 4+ years of experience in engineering, with 2+ years in customer‐facing or field roles. Proven success building and deploying AI/ML or data‐intensive applications in production. Deep full‐stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/ ...

Intelligence and Machine Learning team in Commercial and Investment Banking is transformingoperationsbyleveragingthe latest advancements inagentic AI andfrontier models. As an Applied AI ML Lead Researcher in the Applied AI Research team you will be a builder, a scientific pioneerand mentor who bridges the gap betweenleading edge theory … team of AI engineers, fostering a culture of excellence, innovation, and continuous learning Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability Collaborate with stakeholders and technical partners across Lines of Business and firmwide to scale ...

sharing What You’ll Do Design, build and maintain data pipelines and workflows that keep data accurate, timely and trustworthy Deploy and support production ML systems (including forecasting and LLM-driven workflows) with monitoring, versioning and CI/CD Maintain and improve an AWS-native data platform (e.g., S3, Redshift … impact Nice to Have Experience with AWS services commonly used in modern data platforms (e.g., Redshift, Athena, SageMaker, Lambda) Prior experience supporting analytics and ML teams with data modelling and reliable datasets Mentoring experience (formal or informal) Package Salary: up to £120,000 (dependent on experience) Private medical insurance Office ...

high-performing team of engineers, balancing rapid delivery with platform health and long-term sustainability, while fostering a culture of safe AI/ML adoption, small experiments over long planning cycles, and strong engineering fundamentals. In this role, you will: Lead a software engineering team in designing, building, and operating … product, design, data, and other partner organizations. Make AI and Machine Learning part of every mission — safely integrate and operate AI/ML-enabled solutions that measurably improve traveler outcomes and team velocity, applying AI/ML concepts to real-world products. Work with your peers to coordinate ...

application resiliency, and security best practices Experience developing, debugging, and maintaining code using modern programming and database querying languagesKnowledge of cloud, artificial intelligence, machine learning, and mobile technologies Experience maintaining and troubleshooting software in Linux environments, with familiarity in containers and cloud architectures/services Strong interpersonal … communication skills, with experience working in global teams Commitment to continuous learning and improvement Preferred Qualifications, Capabilities, and Skills: Familiarity with modern front-end technologies such as React, Angular, or Vue.js Exposure to cloud technologies including AWS, Azure, or GCP Experience with Python and front-end development Practical experience ...

team in Commercial and Investment Banking is transforming operations by leveraging the latest advancements in agentic AI and frontier models. As an Applied AI ML Senior Associate in this Applied AI Research team you will be a builder and scientific contributor who will help bridge the gap between leading-edge … culture of excellence, innovation, and continuous learning within the AI engineering team Contribute towards the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability Collaborate with stakeholders and technical partners across Lines of Business and firmwide to scale ...

Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit‐learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands‐on experience … advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. #J-18808-Ljbffr ...

data pipelines, dashboard usage, and reporting metrics to ensure global teams can easily understand and leverage your tools. Present analytical findings and AI/ML capabilities confidently to both the Manager and broader global stakeholders. Data Modeling & Technical Execution: Take technical requirements translated by the Manager and develop robust data … transformation tools ( dbt ). Strong expertise in building dashboards and visualizations in Looker . Bonus: Practical experience or strong familiarity with integrating AI/ML models or leveraging Python/R for predictive analytics. Key Competencies: Exceptional Communicator: Strong written and verbal communication skills; able to distill complex, technical data ...

organisation, working on innovativeAI-driven solutions and next-generation digital platforms. This is an excitingopportunity to develop and enhance intelligent AI agents, copilots and machinelearning applications within a large-scale enterprise environment. You willwork across software engineering, Generative AI, cloud technologies and dataplatforms, helping to build secure, scalable and production … including document ingestion, embeddings,indexing and retrieval. Build and maintain dataprocessing pipelines using Databricks and Apache Spark. Support the development,testing and deployment of machine learning models through MLOps pipelines. Develop user-facing AIinterfaces, including streaming interactions and human-in-the-loopworkflows. Implement automated testing, AImodel evaluations ...

products and services. Working alongside Platform, Data and Product teams, you'll help deliver scalable, secure and high-performance data solutions that enable analytics, machine learning and AI across the business. If you enjoy solving complex technical challenges, working with modern cloud technologies and building robust data platforms … service, plus an extra day off for your birthday! We also operate summer hours so you can make the most of the sunshine. Learning & Development - Access a vast range of courses through our learning platform and benefit from structured career progression plans to support your growth. Health & Wellbeing ...

relevance, and emerging technologies, the school offers a range of undergraduate and postgraduate courses designed in collaboration with industry professionals. Students benefit from flexible learning options, expert academic support, and a curriculum that bridges theory with real-world application, ensuring they graduate ready to meet the demands of today … Computing , or a related discipline Experience of teaching in higher education or professional training environments Strong subject knowledge in areas such as: Data Science: machine learning, data analytics, big data technologies, AI Cyber Security: network security, ethical hacking, digital forensics, infoSec Excellent communication and interpersonal skills A commitment ...

working out how customers are going to behave. You enjoy problem solving, and will be building modelling solutions, including gravity modelling, regression and machine learning. You have an in-depth understanding, and can weigh the pros and cons of various modelling methodologies, including interpretability and practical application … MSSQL, Google BigQuery, SparkSQL, etc.) Strong coding skills in Python, R, Scala, C, Java, or JS Proven track record of using data manipulation and machine learning libraries Practical modelling & statistical analysis experience, ideally customer-related Strong communication skills with proven ability to collaborate with remote global teams Evidence ...

integration of emerging new technology platforms including cloud platforms, new enterprise applications, big data platforms and tools for advanced analytics including AI/machine learning/data science that drive business value A growth mindset AI curious and ready to embrace opportunities Desirable Experience with enterprise architecture tools … people feel supported, included and trusted to do their best work. In return, we ask for curiosity, honesty and a willingness to lean into learning, quality, teamwork, and to making change that truly lasts. We’re committed to equality of opportunity for all, and we actively seek applications from ...

sector, including the facilitation of data sharing and utilisation across various government departments Partnering with data scientists to transition advanced data deliverables, such as machine learning models, into production environments An increasing number of our customers are specifying a minimum of SC (security check) clearance in order … groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you’d like to speak to someone from one of these groups about their experience ...

background on Rotageek Rotageek helps businesses optimise staff scheduling through data-driven technology. By combining machine learning and advanced algorithms, we help organisations forecast demand, improve workforce management and give employees greater control over their schedules. Our solutions drive operational efficiency, improve customer experiences and help reduce staff … helping colleagues grow. Work with Data Engineering colleagues on interfaces, data contracts, data quality and operational failure modes. Contribute to incident response, post-incident learning and continuous improvement of the services you support. Document technical decisions and operational knowledge so the team can understand, support and extend what ...

About Signal Ocean Signal Ocean is the technology arm of the Signal Group, providing market-leading advanced machine learning and AI-driven intelligence to shipping and commodities professionals worldwide. Our platform delivers tailored, exclusive insights through web, mobile, and API interfaces, enabling clients to make faster, better-informed … while diving deep into our products and/or the shipping world. Career growth opportunities and a structured development discussion every 4 months. Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority). Regular team bonding events and activities. Fitness benefits to support ...

powered marketing technology company built on the foundation of a robust consumer data platform. With billions of proprietary data points and sophisticated machine learning algorithms, Zeta helps marketers unlock actionable insights into consumer behavior and preferences. The company's Zeta Marketing Platform harnesses this powerful combination of data … role in shaping the future of our technology. You will collaborate with highly skilled professionals in a stimulating environment that fosters both learning and individual initiative. While we are passionate about exploring cutting-edge technologies and algorithms, we maintain a practical approach to implementing solutions. We believe in empowering ...

where AI is going. You'll spend your time building alongside the rest of the AI team, turning promising ideas into working software and learning fast as the technology moves. Part of the team's remit is partnering closely with our Content, Data, and Models teams, and over time … document processing). Exposure to modern data platforms (e.g. Snowflake, ClickHouse, Databricks, BigQuery) or working with data engineering teams. A background or coursework in machine learning, NLP, or data science. Open‐source contributions, side projects, or writing that show you build for the love of it. An interest ...

agile methodologies, including CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within technical disciplines (e.g., cloud, AI, machine learning, mobile) In-depth knowledge of financial services industry IT systems Practical cloud native experience Preferred Qualifications, Capabilities, and Skills: Experience with Java ...