826 to 850 of 1,961 Machine Learning Jobs in London

Signal Group. Our primary product, The Signal Ocean Platform, enables shipping professionals to securely handle, integrate, and assess intricate collections of private and public shipping data. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that supports our clients in improving performance and efficiency. Insights are delivered over web and mobile applications … to meet about 30 trainers 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. All applications will be considered under the terms and More ❯

Were looking for a data and technology-oriented Staff Software Engineering Manager to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care? Flatiron Health is a healthtech company using data for good to power smarter care for … You have experience working in healthcare in the UK You hold a bachelors, masters, and/or Ph.D. in computer science or a related field You have experience in machine learning, data engineering, infrastructure, devops, or security engineering If this sounds like you, you'll fit right in at Flatiron. Who We Are Our people are at the More ❯

technology stack. Proven expertise in: Data modeling and database design (SQL & NoSQL) Cloud-based architecture on Azure (required), and familiarity with AWS Microsoft Fabric and Logic Apps Azure-based machine learning workflows and Databricks on Azure Designing and optimizing data lakes, warehouses, and pipelines Experience implementing data governance, security standards, and compliance practices. Strong understanding of metadata management More ❯

technology stack. Proven expertise in: Data modeling and database design (SQL & NoSQL) Cloud-based architecture on Azure (required), and familiarity with AWS Microsoft Fabric and Logic Apps Azure-based machine learning workflows and Databricks on Azure Designing and optimizing data lakes, warehouses, and pipelines Experience implementing data governance, security standards, and compliance practices. Strong understanding of metadata management More ❯

scientists, PMs and tech leads who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused More ❯

scientists, PMs and tech leads who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused More ❯

and transparent. Our Neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. To meet the demands of our increasing commercial traction, we are looking for a smart, dedicated senior software engineer to join our world More ❯

in executing their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services, and machine learning models for training and scoring. Collaborate closely with partners, strategy consultants, and data scientists in an agile environment that values personal initiative. Share knowledge by providing technical More ❯

BDD, Performance/Load testing etc. " DevOps experience - CI/CD, Test Automation, Containerization - tools and processes " Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. " In-depth, hands-on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such More ❯

front-end and back-end systems Deliver high-quality code and successful project outcomes Provide mentorship to other software engineers Stay updated with the latest advancements in AI and machine learning REQUIRED SKILLS: Degree in a creative or quantitative field such as design, engineering, mathematics, finance. If self-taught, a portfolio past projects is required Experience of leading More ❯

you will work closely with our business units. Our technology teams offer an environment with exciting challenges - supporting and developing legacy systems or introducing modern technologies such as AI, machine learning, and highly automated trading applications. Our Technology department, comprising around 300 employees, works largely in an agile manner using a Scrumban approach. It covers areas such as More ❯

communication and collaboration skills. Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect Expert. Experience with big data technologies like Hadoop, Spark, or Databricks. Familiarity with machine learning and AI concepts. If you encounter any suspicious mail, advertisements, or persons who offer jobs at Wipro, please email us at helpdesk.recruitment@wipro.com . Do not email More ❯

Kafka or similar. Familiarity with containerization and orchestration (Docker and ECS) for data workflows. Exposure to BI tools such as Tableau or Power BI for data visualization. Understanding of machine learning pipelines and how they integrate with data engineering processes. Certification in cloud data engineering (e.g., AWS Certified Data Analytics) What We'll Offer You In Return: The More ❯

technical standards, and winning new projects. About You You'll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You More ❯

footballers' legs. Ki's mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days.Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing More ❯

CI/CD, and real appreciation for writing high quality and documented code Extensive knowledge of quantitative research methodologies, including probabilities, statistical modeling and time-series analysis. Experience in machine learning is a plus. Effective interpersonal and communication skills, with the ability to convey complex concepts to both technical and non-technical audiences Exceptional analytical and problem-solving More ❯

OpenTelemetry Application & Data Ecosystem (Supporting): Application Languages/Frameworks: Python, FastAPI, Flask, Node.js, React Data Streaming: Apache Kafka Data Processing/Transformation: Pandas, DBT Workflow Orchestration: Apache Airflow, Ray Machine Learning Stack: Serving: Triton Inference Server MLOps/Experiment Tracking: Weights and Biases, DVC Libraries/Frameworks: Transformers, HuggingFace Model Optimization/Formats: Onnx, TensorRT Data Stores & Databases More ❯

effectively compete in their chosen markets. By joining us, you will be diving into a world of data-driven exploration and innovation, revolutionising financial insights through cutting-edge technologies, machine learning and predictive analytics. Your contributions will shape the future of cross-border finance, helping clients such as HSBC, Lloyds, Mastercard, PayPal, Visa and The World Bank to More ❯

like CRM, HR, and Finance. Key Responsibilities Design and develop scalable data pipelines using Azure Data Factory, dbt, and Synapse Build enriched datasets for Power BI and AI/ML use cases Implement CI/CD workflows Ensure GDPR compliance and secure data handling Requirements: 5+ years in data engineering or Strong experience with Azure, Databricks, Microsoft Fabric, and Snowflake More ❯

like CRM, HR, and Finance. Key Responsibilities Design and develop scalable data pipelines using Azure Data Factory, dbt, and Synapse Build enriched datasets for Power BI and AI/ML use cases Implement CI/CD workflows Ensure GDPR compliance and secure data handling Requirements: 5+ years in data engineering or Strong experience with Azure, Databricks, Microsoft Fabric, and Snowflake More ❯

thought leadership What We're Looking For 3-10 year's experience in IT strategy, consulting, or software development Prior consulting experience essential Strong technical knowledge of GenAI and ML, including LLMs, RAG, MLOps, and prompt engineering Familiarity with platforms such as AWS Bedrock, Google Vertex, LangChain, or LlamaIndex Experience with both legacy systems and modern tech stacks Proven track More ❯

/Azure, and data tools like dbt, Airflow, Snowflake. Ability to conduct structured interviews and technical assessments. Familiarity with software development practices, agile methodologies, DevOps culture, and AI/ML concepts. Exceptional communication and stakeholder management skills, with the ability to influence senior technical leaders. Strong project management skills to juggle multiple searches simultaneously. Benefits £6,000 annual training & conference More ❯

development and transformation - Familiarity with cloud platforms such as AWS, Azure or GCP - Knowledge of orchestration tooling (e.g., Airflow, Dagster, Azure Data Factory, Fivetran) Desirable: - Experience deploying AI/ML models in production environments - Familiarity with AWS data services (e.g., S3, Glue, Kinesis, Athena) - Exposure to real-time data streaming and analytics paradigms #LI-RJ1 Together, as owners, let's More ❯

comprehensive solutions from evolving high-level requirements A top-tier qualification in a relevant discipline (e.g., engineering, computer science, mathematics, physics, etc.) Experience with key cloud and data/ML technologies such as AWS, Kubernetes, data lakes, and data pipeline orchestrators is advantageous We love hearing from anyone inspired to build a better future with us, if you're excited More ❯

and promoting a culture of innovation and continuous improvement. What are we looking for: Strong command of SQL, Python, Azure (Functions, Logic Apps, Key Vault), GitHub, and AI/ML technologies-enabling intelligent automation, data modelling, and cloud-native development Extensive knowledge of Power Apps (Canvas & Model-Driven), Power Automate (Cloud Flows, RPA), Power BI (DAX, Power Query, RLS), and More ❯