851 to 875 of 1,969 Machine Learning Jobs in London

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 ❯

London, England, United Kingdom 1 week ago Liverpool, England, United Kingdom 4 months ago Greater London, England, United Kingdom 2 weeks ago Remote Solution Architect - Java, AWS, AI/ML City Of Bristol, England, United Kingdom 90,000.00-100,000.00 3 weeks ago London, England, United Kingdom 4 months ago Were unlocking community knowledge in a new way. Experts add More ❯

strengthen the connection between Novartis and the external AI community through open-source contributions, publications, and participation in external congresses, conferences, and scientific workshops. Fosters a culture of continuous learning, constructive collaboration, and innovation within the team, collaborating on tasks and projects to ensure deadlines are met. MSc or PhD in Computer Science/Engineering, Data Sciences, Artificial Intelligence …/Machine learning, Bioinformatics, Biostatistics or any other computational quantitative science Minimum of 2-5 years of developing technical solutions for automation or AI. Prior exposure to work in life sciences or drug development is highly beneficial. Expert in software/AI engineering practices (including versioning, release management, deployment of models, agile & related software tools). Strong software … development skills in R (including package development, deployment, advanced programming) and Python. Specialist expertise in one or more of the following: Deep learning & analytical frameworks such as pytorch, jax, tensorflow; LLM/LMM applications & agentic AI; bioinformatics & data science. Expertise in systems programming languages (e.g. C/C Rust) is optional but can be beneficial. Strong working knowledge of More ❯

diverse, geo-distributed facilities. Tether Data: Our solutions like KEET enhance AI and peer-to-peer technology, reducing infrastructure costs and improving global communication. Tether Education : We democratize digital learning, empowering individuals in the digital and gig economies. Tether Evolution : We push technological and human potential boundaries to craft a future of unprecedented innovation. Why Join Us? Our remote … edge hardware to large-scale applications, using GGML as a multiplatform inference backend. Our remote team is committed to advancing AI technology and making it broadly accessible. Responsibilities: Deploy machine learning models on edge devices using llama.cpp, ggml, onnx frameworks. Collaborate with researchers to code, train, and transition models to production. Integrate AI features into existing products, leveraging latest ML advancements. Requirements: Proficiency in Python, C, and C++ programming. Experience with Llama.cpp and ggml inference engines, especially for GPU deployment. Understanding of deep learning concepts and architectures. Experience with More ❯

Applied AI ML Director JPMorgan Chase & Co. London, United Kingdom JPMorgan Chase & Co. London, United Kingdom Job Description The Applied Artificial Intelligence and Machine Learning team in Corporate and Investment Banking is transforming the operations of the world's largest bank by leveraging the latest advancements in open source artificial intelligence and proprietary frontier models. To facilitate rapid … engineering, who has made significant contributions to open source projects and/or led the development and maintenance of AI systems vital to business operations. As an Applied AI ML Director within the Corporate and Investment Banking Applied AI team, you will lead a team of experts to develop horizontal capabilities through APIs, libraries, and thought leadership. You will collaborate … and build services and libraries that LoB AI teams want to use Lead, mentor, and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning Work seamlessly with technology partners to build and maintain business critical services Drive best practice as a community leader and ensure AI practitioners in the firm stay up to More ❯

to power advanced machine learning use cases across their AdTech ecosystem. This is a fully remote role, inside IR35, offering the chance to own and shape foundational ML infrastructure at scale. Key Responsibilities: Define and own the product vision and roadmap for a brand-new MLOps platform, built from the ground up to support scalable, secure, and efficient … ML model development, deployment, and monitoring. Work closely with data science, engineering, analytics, and AdOps teams to understand current workflows and identify opportunities to streamline and automate the ML lifecycle. Assess existing data, analytics, and infrastructure frameworks to identify reusable components and define the architectural blueprint for the MLOps platform. Collaborate with backend and platform engineering teams to identify technical … gaps, scope backend development efforts, and deliver core platform capabilities such as: Model training orchestration. CI/CD for ML (e.g., using MLflow, Kubeflow, or Vertex AI Pipelines). Model versioning, monitoring, and governance. Enable high-impact AdTech use cases including: Marketing Mix Modelling (MMM). Real-time personalisation and bidding. Audience segmentation and targeting. Predictive analytics for campaign performance. More ❯

building and scaling quality training data sets. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel … and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status More ❯

advertising ecosystem. Key Responsibilities: Define and own the product vision and roadmap for a brand-new MLOps platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring. Work closely with data science, engineering, analytics, and AdOps teams to understand current workflows and identify opportunities to streamline and automate the ML lifecycle. Assess … Collaborate with backend and platform engineering teams to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as: Model training orchestration CI/CD for ML (e.g., using MLflow, Kubeflow, or Vertex AI Pipelines) Model versioning, monitoring, and governance Enable high-impact AdTech use cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience … batch model consumption. Translate business needs into detailed product requirements, user stories, and technical specifications, and manage delivery using agile methodologies. Drive platform adoption by evangelizing best practices in ML operations, model governance, and responsible AI. Preferred Qualifications: 5+ years of product management experience, with at least 2 years in AdTech, MarTech, or digital media platforms. Proven experience building ML More ❯