551 to 575 of 1,446 Machine Learning Jobs in London

as a Data Science SME - Lead the design and implementation of modelling solutions, advising teams on feasibility, trade-offs, and impact Develop predictive models for mobility - Build and refine ML models using telematics and time-series data to power smart, connected mobility use cases Deploy and maintain models - Collaborate with Data Engineering to optimise, deploy, and monitor models in production … Work closely with Product and Engineering to ensure solutions address real customer needs and drive business value What are we looking for from you? Hands-on experience in applied machine learning and data science, ideally involving time-series, telematics, or mobility data Strong modelling skills across a range of techniques - from statistical methods to deep learning, including More ❯

skills. Ability to translate data into business strategies. Strong communication skills, including presentation and storytelling. Knowledge of investment, valuation, and growth principles. Advanced Python and SQL skills. Experience with machine learning and large datasets. Skills in data visualization and statistical modeling. Familiarity with AWS and Git. Company Information The Carlyle Group (NASDAQ: CG) manages $453 billion in assets 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 ❯

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 ❯

Solid understanding of modern data platforms and architectures. Experience with data governance, data quality, and data engineering principles. Demonstrated ability to practically activate and leverage AI (e.g., Generative AI, Machine Learning) for business transformation. Familiarity with the complexities of data infrastructures and solution development. Industry Focus: Experience within one or more of the following high-priority sectors: Financial More ❯

Solid understanding of modern data platforms and architectures. Experience with data governance, data quality, and data engineering principles. Demonstrated ability to practically activate and leverage AI (e.g., Generative AI, Machine Learning) for business transformation. Familiarity with the complexities of data infrastructures and solution development. Industry Focus: Experience within one or more of the following high-priority sectors: Financial 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 ❯

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 ❯

system support, monitoring & troubleshooting. Experience of working in environments with high information security standards to meet needs of ISO27001, SOC2 and GDPR etc Experience with AI and/or Machine Learning Project planning and management experience. Experience with finance systems i.e. Sage, Qube, IRIS or similar. Experience with CRMs such as HubSpot or similar. Adecco acts as an More ❯

programming skills in C++, Java, or Python, with experience in low-latency environments In-depth understanding of market microstructure, order types, and exchange connectivity Proficiency in statistical analysis and machine learning techniques Experience with high-frequency trading (HFT) and algorithmic execution strategies Excellent problem-solving skills and ability to work under pressure in a fast-paced environment Preferred 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 ❯

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 ❯

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 ❯

as Jenkins, ADO, GitHub actions, CirlceCI etc. Awareness of the latest developments in testing tools and design patterns. Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects. Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud . What's in It for You? We believe in rewarding great work. More ❯

also be nice if you have: Prior experience with LLMs (OpenAI's GPT-4o, o1, and Claude models from Anthropic) or agentic systems. Prior experience with data science/ML/NLP. Any Frontend experience. Proven expertise in building highly secure, fault-tolerant APIs. Experience building high-performance, distributed systems at scale. A strong understanding of modern dev practices like 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 ❯

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 ❯

the world's most prominent corporations, governments, wealthy individuals and institutional investors. Description For Lead Software Engineering As a Lead Software Engineer at JPMorgan Chase within the AI/ML Data Platform team, you will play a pivotal role in promoting the Test Engineering Program. This strategic initiative focuses on building robust, intelligent validation frameworks and infrastructure that power our … ML and data products. You will architect and develop tools, services, and automation that elevate platform assurance across large-scale distributed systems. The role involves working with cutting-edge AI/ML infrastructure while leading technical initiatives that shape the future of JPMorgan's test engineering practices. You'll be part of the Corporate Sector, working on critical systems that … modern technologies including Python, AWS services, and infrastructure as code tools, while helping to shape the future of how JPMorgan validates and ensures the quality of its AI/ML platforms. This is an excellent opportunity for someone who wants to work at the intersection of software engineering, AI/ML infrastructure, and quality engineering, while being part of a More ❯

teams to local high schools. As a Senior Applied Researcher, your key responsibilities will include: Delivering for customers at scale . You'll build, deploy, monitor and iterate on ML models and systems that scale across 40+ sports and to thousands of simultaneous sports matches. Project leadership . You'll own projects that meet your team's quarterly goals while … and deep learning), multi-view geometry, multi-object tracking, event detection and/or anomaly detection. System experience . You've built, maintained and monitored complex AI/ML models and systems in production at scale. A proven track record . You know how to focus on products, delivering impactful AI/ML products through close collaboration with partners. … Nice-to-Haves Sports industry experience . If you've used AI/ML in sports to generate data and/or create insights, that's a plus. Real-time experience . You know how to work with ML models for real-time and low latency systems. Foundational models knowledge . You've fine-tuned visual language models or large More ❯

growth. • Develop integrated strategies that leverage data science to drive decision-making in investment, trading, and other deeply quantitative domains, aligning with our clients' business objectives. • Utilize advanced analytics, machine learning, and predictive modeling to interpret market signals and forecast trends, providing clients with a competitive edge. • Strengthen relationships with clients to sustain Accenture's profile as a … long-term trusted advisor and partner. • Mentor and grow a team of strategy consultants and analysts, fostering an environment of continuous learning and innovation. • Travel: as needed, up to 100% You will be part of a diverse, vibrant, global Accenture community; teams pushing the boundaries of new business capabilities and emerging technologies and services, sharing their experiences and lessons … be able to work on meaningful and innovative projects,powered by the latest technologies and industry bestpractices such as event-drivenarchitectures and domaindrivendesign. Accenture will continually invest in your learning and growth. You'll learn from and work with Accenture's certified practitioners and Accenture will support you in growing your own tech stack, sales skills, and certifications. You More ❯