576 to 600 of 1,142 Machine Learning Jobs in London

management skills. Desirable: Previous experience in gaming or a strong passion for game development. Familiarity with Unity game development and its backend integration. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, etc.). Exposure to automation-focused architecture and delivery. To apply or find out more, please get in touch for a confidential discussion. More ❯

our solutions remain competitive yet sustainable. Requirements: Proven experience as a Senior Software Engineer or similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficiency in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact centre technologies and integrations. Excellent More ❯

our solutions remain competitive yet sustainable. Requirements: Proven experience as a Senior Software Engineer or similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficiency in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact centre technologies and integrations. Excellent More ❯

sport, but we strive for independent decision-making and taking smart risks.Data Scientist's day-to-day activities will include, but not be limited to:- Perform diagnostic analyses, including ML/statistical modeling and causal inference analyses, to quantify the lift of marketing campaigns.- Analyze marketing campaign performance across channels using sophisticated statistical and econometrics models to derive actionable insights. More ❯

insights and power C-level dashboards Delivering scalable solutions that support internal use cases and extend directly to portfolio companies Working on project-based data initiatives, including AI/ML integrations for predictive modelling and cloud-based productisation Collaborating with commercial teams (RevOps, Finance, Sales) to turn messy data into meaningful business value Building internal data products and helping define More ❯

pragmatic solutions with immediate impact Ability to work independently with exceptional proficiency, collaborating with diverse stakeholders to deliver comprehensive solutions from evolving requirements Experience with cloud and data/ML technologies such as AWS, Kubernetes, data lakes, and data pipeline orchestrators is advantageous We welcome applications from anyone inspired to build a better future with us. If you're excited More ❯

/or industry specialist. What we look for: Experience, technical consultancy and/or presales with a background in Data Engineering, Data Warehousing or Data Science/AI/Machine Learning. You will work with customers within the enterprise space focused on the Financial Services - Banking and/or Insurance (FSI) verticals. Engage customers in technical sales, challenge their More ❯

/or industry specialist. What we look for: Experience, technical consultancy and/or presales with a background in Data Engineering, Data Warehousing or Data Science/AI/Machine Learning. You will work with customers within Digital Native, Emerging enterprises, and Start-up companies. We welcome experience in any vertical. Experience diving deeper into solution architecture and design. More ❯

data pipelines, data connectors, and integration Deep understanding of data governance, regulatory compliance, and best practices for securing sensitive and global datasets. Hands-on experience integrating advanced AI/ML capabilities into operational and analytical data platforms. Extensive knowledge of modern data orchestration and workflow technologies (e.g., Airflow, Kubeflow), and infrastructure automation frameworks (Terraform, CloudFormation). Demonstrated leadership in managing More ❯

cloud-native services, and on-prem platforms to enforce security-by-design principles. Deliver security capabilities that support modern work scenarios, remote access, zero-trust networking, and AI/ML workloads. Leverage automation frameworks and IaC to improve scalability and reduce manual intervention. Operational Security, SRE & Assurance: Ensure security platforms are resilient, continuously monitored, and designed for 24x7 support and More ❯

building and scaling test automation frameworks and developer-focused tools. Deep understanding of distributed systems , API testing , and CI/CD pipelines . Hands-on experience testing AI/ML-powered systems , real-time services , or multi-modal UIs . Track record of owning quality strategy and delivery for mission-critical software in production. Nice to Have Background working in More ❯

a minimum of 1 day per week. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or More ❯

with AI Agents." LILT's co-founder John Denero, and employees Joern Wuebker and Thomas Zenkel, were approved for U.S. Patent for their neural word alignment process, significantly advances machine translation by preserving formatting accuracy. Check out all our news on our website . About LILT LILT was founded by Spence and John, who met at Google working on … used for enterprise products and services inside the company and left to start a new company to address this need - LILT. At its core, LILT has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn't meet the quality standard for enterprise translations, so LILT assembled a More ❯

a managed ETL service for data preparation and transformation; AWS Lake Formation, for simplified data lake creation and management; AWS SageMaker Studio, a unified IDE for end-to-end machine learning … workflows; Amazon Kinesis and MSK for real-time data streaming and processing. You'll help customers understand how this analytics foundation enables them to build and deploy AI/ML solutions using Amazon Bedrock, Amazon SageMaker, and other AWS AI services to drive business transformation. You will work with a specialized Solution Architect to craft a solution spanning these solutions … supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, we foster a culture of continuous learning and curiosity. Our employee networks help create an environment where diverse perspectives are valued and contribute to innovation. Through various events and learning experiences, we encourage professional development More ❯

causal inference techniques to solve business problems. Work with cross-functional stakeholders in determining requirements for building a world-class experimentation platform. Key Requirements A postgraduate degree in statistics, machine learning, or similar … OR demonstrable experience with the data science lifecycle - i.e. from problem definition to model deployment and beyond (monitoring and improvement). In-depth knowledge of statistical hypothesis testing and ML modeling techniques. Experience in using Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn). Significant experience in using SQL. Ability to communicate effectively with audiences of More ❯

Engineer will join an existing software team reporting to the Chief Technology Officer. Working on a world class AWS event driven design that delivers high performing Artificial Intelligence and Machine Learning services. This will be a challenging and varied … position developing new features and APIs, performance optimisation, CICD and test suite improvement, updating core software and infrastructure libraries used across many client services, supporting Data Science and deploying ML systems. More ❯

Engineer will join an existing software team reporting to the Chief Technology Officer. Working on a world class AWS event driven design that delivers high performing Artificial Intelligence and Machine Learning services. This will be a challenging and varied … position developing new features and APIs, performance optimisation, CICD and test suite improvement, updating core software and infrastructure libraries used across many client services, supporting Data Science and deploying ML systems. More ❯

and push for change. We seek those looking to make a severe impact and are excited about working in a high-growth startup. We ship fast, continuously, and iteratively, learning each step. We are data-informed. And are ok with finding the data when it's missing. Our products We have a suite of API products that automate tax … Philip Beel, Engineering Manager. What you will do Speed up the research of different taxes and their legislation across the world through innovative solutions and automations. Integrate LLMs and ML into our products, ensuring scalability and performance. Partner directly with Tax Managers to establish what quality research output looks like Build new product features across the stack, from back-end … front-end customer-facing interfaces. You would be a great fit if You have experience working with data scientists and data engineers. You have a good understanding of how machine learning works and can bring this expertise to Fonoa. You have experience working with LLMs, including state of the art techniques You are fully proficient in English. Written More ❯

workflows. The ideal candidate will have substantial hands-on experience optimizing inference workloads using technologies such as TensorRT, Triton language, and model quantization techniques. You will collaborate closely with ML researchers to ensure that our machine learning models run at peak efficiency and reliability in production environments. Key Responsibilities Optimize neural network models for inference performance and latency … reduction Benchmark, analyze, and improve inference performance on targeted hardware platforms. Collaborate with the ML researchers to deploy optimized models in production environments. Stay updated with the latest developments in model optimization, inference engines, quantization methods, and related technologies. Requirements Proven professional experience optimizing neural network inference workloads. Strong expertise with TensorRT, Triton language, CUDA programming. Experience with neural network More ❯

tools such as Excel, R and SQL. Hands-on involvement in delivering complex, multi-disciplinary modelling projects, including the development of neural network models. Practical application of AI/ML techniques in industrial process optimisation and predictive analytics Demonstrated ability to take on divers roles across the lifecycle of complex modelling initiatives including: Product ownership defining vision, roadmap and stakeholder … Requirements analysis and specification gathering business needs and translating them into technical requirements, Solution design architecting robust analytical frameworks and methodologies, Model generation coding, testing and validating statistical or machine learning models, User acceptance testing managing end-user testing and feedback integration, and On-going support and maintenance ensuring reliability, scalability and continuous improvement of models in production. More ❯

You're familiar with some of the other technologies in our stack (see below) You have a user-focused product mindset and good design sensibilities You are interested in learning about generative AI technologies You are interested in building innovative user interfaces requiring creativity, problem-solving and research An exceptional candidate for this role would be able to demonstrate … Experience using LLMs in production, especially multi-agentic systems Interest in writing (fiction, non-fiction, essays) However, you are NOT expected to: Be an expert in AI, NLP, or Machine Learning Be a designer - you'll be working together with our CPO and designer Ryan Bowman Be experienced with every library and product in our stack from day More ❯

an Owner, Delight Our Customers and Earn the Respect of Others. The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging, people-first work environment … technology today - Big Data analytics. You'll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more. FICO makes a real difference in the way businesses operate worldwide: • Credit Scoring - FICO Scores are used by 90 of the top More ❯

and internal engagements for Experian's new global product launch and early client success efforts. Responsibilities: Collaborate with Engineering and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data platform. Partner with Leaders, Analytic Consultants, Engineers, Account Executives, Product Managers, and external partners … advancements, and model risk management processes and controls to ensure the technology stack meets all compliance requirements. Research and integrate new data assets from different sources into Experian's ML and AI platform. Develop and assess analytic tools developed internally and externally. Gather feedback from internal and external clients to guide new product development, feature prioritisation, and product evolution of More ❯

be enthusiastic and willing to learn new things. It is also considered a bonus if you have: Understanding of service-oriented architectures and building cloud-based products. Experience with Machine Learning, Computer Vision, AI technologies. We are looking for a team player who thinks holistically, enjoys solving complex problems and thrives working autonomously, while not afraid to ask … holidays. Attractive defined contribution pension scheme. Employee stock purchase plan. Flexible working options. Private medical care. Life assurance. Enhanced maternity and paternity pay. Career development support and wide ranging learning opportunities. Employee health and wellbeing support EAP, wellbeing guidance etc. Carbon neutral initiatives/goals. Corporate social responsibility initiatives including support for volunteering days. Well known companies discount scheme. More ❯

in following: Design, develop, and optimize AI models using Azure AI Foundry, LLMs, and Azure machine learning services. Enhance and scale AI Platform, integrating RAG, LLMs, and ML pipelines into real-world applications. Develop AI agents with Azure AI Foundry, leveraging open standards such as MCP and A2A as well as principles of Multi-Agent Systems. Work closely … Profile Proven experience working with Azure AI Foundry and its ecosystem. Strong background in LLM fine-tuning, RAG (Retrieval-Augmented Generation), and AI-driven application development. Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and cloud-native AI solutions. Hands-on experience with Azure Cognitive Services, OpenAI APIs, and vector search (e.g., Azure AI Search, FAISS, CosmosDB, Pinecone, etc.). Experience More ❯