501 to 525 of 2,937 Machine Learning Jobs in London

collaborative team where your ideas drive real impact. You’ll have the opportunity to grow your career, work with cutting-edge AI and machine learning, and help deliver trusted, market-leading products. We value diversity, inclusion, and continuous learning—your contributions matter here. As a Software Engineer … agentic commerce solutions. You’ll work on B2B agent platforms that negotiate, onboard, and communicate with corporate suppliers, as well as the data and machine learning pipelines that power these agents. You will contribute to NEO, our governed agent platform, and help shape the future of payments technology. ...

Snap Inc. is seeking a Machine Learning Engineer to join our AI-first engineering team in London. You will build and deploy ML models for core Snapchat products, applying established techniques to real-world problems. You’ll contribute to the ML lifecycle, including data analysis, model training, evaluation … production deployment, and collaborate with cross-functional partners to ship ML-driven features. #J-18808-Ljbffr ...

Scam Prevention TeamThe Scam Prevention team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally … concepts across teams (Product, Data Science, Investigations).Nice to Have:\* Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production).Interested? Find out more:\* [How we work – a practical guide](https://wise.jobs/how-we-work)\* [DEI @ Wise](https:/ ...

expertise in any of Python/KDB/C++, for real-time data processing, application development, or data engineering. Working knowledge of AI technologies(machine learning, generative AI, etc.) to support data engineering, analytics, or SDLC automation. Proficiency in automation and continuous delivery methods; advanced understanding of agile … environments in public cloud. Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets. Knowledge of machine learning, statistical techniques, and related libraries. #J-18808-Ljbffr ...

Product Management. For over a decade, Fin has invested in in-house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we’re expanding this team with product managers who will define the future of Fin AI platform and AI agent. What … high-quality decisions and build a compelling roadmap. Work side-by-side with a world-class AI team. You’ll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you’ll explore new ideas, assess feasibility, evaluate trade-offs, and turn advanced AI capabilities into ...

similar technologies Optimize data pipeline performance, ensuring data accuracy, reliability, and timely delivery Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement Stay up-to-date with the latest trends and best practices in data engineering and AI, and apply them to our projects … technologies and tools to enhance our data engineering capabilities Contribute to the development of AI-powered features and products, leveraging your knowledge of machine learning and data science concepts Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field 7+ years ...

you.As a Senior Software Engineer working in our AI and Data Science Platform team, you will help design, build and maintain software solutions that Machine Learning Engineers and Data Scientists use to develop new products. You will use your skills to build software that empowers our teams … SaaS features that leverage LLM agents is preferred. Familiarity with using LLM agents to accelerate software development, as well as experience or knowledge in machine learning, would be advantageous. Experience with infrastructure-as-code tools, such as Terraform, would also be a plus.Exigences physiques du posteLes déclarations ...

Product Management. For over a decade, Fin has invested in in-house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we’re expanding this team with product managers who will define the future of Fin AI platform and AI agent. … high‐quality decisions and build a compelling roadmap. Work side‐by‐side with a world‐class AI team. You’ll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you’ll explore new ideas, assess feasibility, evaluate trade‐offs, and turn advanced AI capabilities into ...

mission to make the world's information accessible to everyone , regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality. At LILT … 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 ...

encryption, logging, auditability, secure configuration, and operational ownership. AI Security, Automation & Engineering Define and apply security requirements for enterprise AI, generative AI, copilots, agents, machine‐learning services, and AI‐enabled SaaS solutions, including data access, prompt and response handling, model or service permissions, identity, logging, retention, and human … workload protection, vulnerability management, attack‐surface management, and risk‐based remediation. Experience defining or evaluating security controls for generative AI, enterprise copilots, AI agents, machine‐learning platforms, or AI‐enabled SaaS solutions. Understanding of AI‐specific security risks, including prompt injection, sensitive‐data exposure, insecure tool or agent ...

Linux driver for Fractile’s innovative AI accelerator hardware Implement highly‐optimised on‐accelerator software Work with hardware and higher‐level software and ML engineers in a highly collaborative hardware‐software co‐design methodology It would be great if you have: Proven experience of the development of Linux device drivers … Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience You may also have: Experience of working with GPUs or other machine learning accelerators Knowledge of contemporary machine learning techniques and technologies Previous experience in a startup or small team environment #J ...

dashboards and MI to support decision-making, and help communicate findings to stakeholders. The role also supports the adoption of advanced analytics, including automation, machine learning and AI, to continuously improve audit effectiveness. All activities are carried out in line with audit methodology, best practice and professional standards. … effectively. Understanding of data governance, data quality, and metadata management practices. Familiarity with ERP systems (Oracle preferred) and enterprise data environments. Knowledge of AI, machine learning, or automation use cases in analytics, audit, or risk contexts. Strong communication skills, with the ability to present data-driven insights ...

team shares a love of the outdoors and a desire to protect it for future generations. Role Summary As a Staff Engineer - ML training and infrastructure, you will be a member of the Perception team at Rivian, which develops advanced machine learning algorithms that directly impact safety-critical … features of our category-defining vehicles. We are looking for candidates with deep knowledge and strong enthusiasm towards establishing a state-of-the-art ML infrastructure for training and inference of large autonomous driving models, and optimizing the training and inference performance. Responsibilities Optimize the performance of Deep Learning ...

team shares a love of the outdoors and a desire to protect it for future generations. Role Summary As a Staff Engineer - ML training and infrastructure, you will be a member of the Perception team at Rivian, which develops advanced machine learning algorithms that directly impact safety-critical … features of our category-defining vehicles. We are looking for candidates with deep knowledge and strong enthusiasm towards establishing a state-of-the-art ML infrastructure for training and inference of large autonomous driving models, and optimizing the training and inference performance. Responsibilities Optimize the performance of Deep Learning ...

Consulting Limited is looking for a Prototype Engineer to design and develop prototypes using Python for data-driven and AI/ML use cases. Candidates should have over 10 years of experience in machine learning, SQL, and data analysis. The successful applicant will create and evaluate machine learning models, develop efficient SQL queries, and integrate prototypes with APIs. The position offers a hybrid work model, working 3 days a week in the office. #J-18808-Ljbffr ...

Machine Learning Quant - Start Up £150,000 GBP + performance bonus + internal fund investment Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent My client is a stealth start-up Quant hedge fund founded by a Math Postdoc and advised by a Fields Medallist click ...

efforts to harden our systems, ensuring our groundbreaking AI is built on an unshakeable base, working closely with the research team and the Applied ML teams to ensure the infrastructure is stable, reliable and can operate with more data and larger models as we grow. What You Will Do Develop … cycles. Deliver high-quality and well-tested user-focused features. Skills and Qualifications Proven experience in architecting and managing large-scale AI/ML workloads in a production environment. Orchestration: Significant experience deploying and managing complex workloads within Kubernetes. Expertise in cloud compute design, specifically within Google Cloud Platform ...

Audio Programmer Ltd is seeking a Machine Learning Researcher to join their voice technology team in Paddington, United Kingdom. The role involves researching and developing innovative noise cancellation technologies and implementing deep learning models. Candidates should have a strong background in AI and real-time audio machine learning, with a PhD or MSc in a relevant field. The position offers a hybrid working arrangement with 2-3 days per week at the Central London R&D centre. #J-18808-Ljbffr ...

visualisation choices without building dashboards or reports. AI-Ready Data - Make sure data platforms provide the quality, context, access and governance that AI and machine learning need. Work with the Principal AI Architect on AI use cases that depend on the data foundation. Security, Observability & FinOps by Design … technical relationships with data platform partners to stay current on roadmaps and capabilities, while using that knowledge as an independent advisor to customers. Continuous Learning & Accreditation - Keep expert knowledge up to date through hands‐on lab time, research and training. Maintain relevant accreditations in at least one core data ...

Research in London invites exceptional graduate machine learning engineers to join the Technical Machine Learning team. You will work with Quant researchers on cutting-edge problems, building scalable tools and experimenting with new ideas to accelerate discovery. As a graduate, you will combine off-the-shelf ...

identifying risks and opportunities for improvement Champion engineering excellence across code quality, testing, continuous delivery, security, observability and platform reliability Collaborate closely with AI, Machine Learning, Product, Infrastructure and DevOps teams to deliver integrated platform capabilities and share knowledge across the engineering organisation We tend to look … systems integrators Strong communication and collaboration skills, with the ability to influence technical decisions across teams Experience building or contributing to AI and Machine Learning platforms Experience integrating large language models, speech technologies or multimodal AI solutions into production environments Familiarity with AI orchestration frameworks, intelligent workflows ...

Integrity Team The Account Integrity team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally … across teams (Product, Data Science, Investigations). Nice to Have: Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production). For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when ...

platform. What you'll do You’ll be involved across the full AI lifecycle, including: Exploring and understanding complex datasets Designing and training machine learning models Building AI-powered applications Writing clean, maintainable Python code Working closely with Engineering to deploy production systems Collaborating with Product and Operational … people who enjoy solving difficult technical problems, learn quickly and care about building high-quality software. You’ll bring experience in: Python SQL Machine Learning Cloud platforms such as AWS Working with large datasets Production software development Experience with any of the following is useful, but not essential ...

Develop novel signal processing algorithms for Circadia's contactless monitoring system (radar and other sensors) Research signal processing techniques — and, where useful, machine learning — to extract clinically relevant features from sensor data Process data from clinical studies to develop and validate product features Prepare algorithm documentation for regulatory … communicate clearly across research, clinical and engineering teams Nice to have Familiarity with machine learning, or experience combining signal processing and ML approaches Experience with radar or other contactless sensing Familiarity with medical device regulatory requirements or working in a regulated environment £70,000 - £105,000 a year ...

better, for the next client. Technology leadership: You will take a client's business opportunities and pain points and match them to the right ML, AI or data engineering solution. You possess the technical depth required to engage in discussions regarding solution architecture and implementation details with a client … teams together. Deep expertise across AI technologies, machine learning, data analytics, and data management, paired with a strong understanding of AI and ML, data infrastructure and architecture, including data warehousing, and cloud-based solutions, so you can move fluidly between the strategic and the technical. A track record ...