851 to 875 of 1,967 Remote Machine Learning Jobs

Angular or React Familiarity with containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Exposure to AI and machine learning frameworks (e.g. Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . Solid grounding in data pipelines, APIs, and distributed messaging systems (Kafka, ZeroMQ, etc. More ❯

of the UK’s most exciting Intelligent Automation companies, powering content for a huge number of brands globally, optimising how they distribute and monetise content, whilst using cutting-edge machine learning and predictive AI. The Role As Head of Engineering, you’ll lead a lean, high-performing tea, bringing structure and technical direction to a fast-paced, product More ❯

of the UK’s most exciting Intelligent Automation companies, powering content for a huge number of brands globally, optimising how they distribute and monetise content, whilst using cutting-edge machine learning and predictive AI. The Role As Head of Engineering, you’ll lead a lean, high-performing tea, bringing structure and technical direction to a fast-paced, product More ❯

of the UK’s most exciting Intelligent Automation companies, powering content for a huge number of brands globally, optimising how they distribute and monetise content, whilst using cutting-edge machine learning and predictive AI. The Role As Head of Engineering, you’ll lead a lean, high-performing tea, bringing structure and technical direction to a fast-paced, product More ❯

processes that can be enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. More ❯

processes that can be enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. More ❯

containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning frameworks (e.g. PyTorch, TensorFlow, or similar). Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . Experience with Rust , WebAssembly , or cross-runtime architectures More ❯

containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning frameworks (e.g. PyTorch, TensorFlow, or similar). Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . Experience with Rust , WebAssembly , or cross-runtime architectures More ❯

containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning frameworks (e.g. PyTorch, TensorFlow, or similar). Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . Experience with Rust , WebAssembly , or cross-runtime architectures More ❯

processes that can be enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. More ❯

processes that can be enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. More ❯

containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning frameworks (e.g. PyTorch, TensorFlow, or similar). Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . Experience with Rust , WebAssembly , or cross-runtime architectures More ❯

processes that can be enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. More ❯

containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning frameworks (e.g. PyTorch, TensorFlow, or similar). Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . Experience with Rust , WebAssembly , or cross-runtime architectures More ❯

containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning frameworks (e.g. PyTorch, TensorFlow, or similar). Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . Experience with Rust , WebAssembly , or cross-runtime architectures More ❯

experience as a Data Architect or in a similar role. You have experience with cloud-based data systems and architectures. You have knowledge of and experience with data analytics, machine learning, and AI concepts. You have in-depth knowledge of data architecture principles, methodologies, and best practices (e.g., ISA-88 and ISA-95). You have knowledge of More ❯

outbound sales execution and CRM-driven pipeline management (HubSpot, Salesforce, etc.). Strong track record of engaging enterprise clients and closing high-value deals. Interest or experience in AI, machine learning, or data science applied to product innovation or consumer behavior. International mindset with experience working across cultures and time zones. Executive presence and excellent written and verbal More ❯

experience leading AI R&D teams (5+ years in a leadership role) with a track record of delivering production-grade models from concept to deployment. PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Deep expertise in training foundation models, including multimodal LLMs and video models, with hands-on experience in frameworks like PyTorch, TensorFlow More ❯

design Business process development and architecture Application development and architecture Data architecture and management Technical/Infrastructure development and architecture DevOps, CI/CD Pipelines, Scripting and Automation Languages Machine Learning and Artificial Intelligence Diversity, equity and inclusion We are committed to equal opportunities for all and will not discriminate on any grounds. We encourage applications from people More ❯

have a deployment platform through which our AI applications are hosted and used. We have a DGX and associated server which we maintain within the team and use for machine learning purposes. We have a straightforward and robust way of accessing, analysing and cleaning data. With this combination of platforms we translate clinical research into clinical practice across More ❯

Hibernate), messaging (Kafka, RabbitMQ), and databases (SQL Server, QuestDB, Snowflake) • Proficiency with Git and Agile development • Strong multitasking, organizational, and communication skills Good to Have: • Experience with AI/ML and the • Experience and familiarity with Log observability tools such as Elastic Search/Kibana/Splunk stack. • Experience with leading industry platforms, including Quod, FlexTrade, Nuvoprime, and Murex. • Experience More ❯

engineering teams and platforms in complex environments. Expertise in modern software practices including DevOps, SRE, IaC, and cloud-native design (Azure, AWS, or GCP). Experience implementing AI/ML-enabled tooling within engineering practices (eg code copilots, test generation, anomaly detection, CI/CD acceleration). Demonstrable success in improving engineering velocity, quality, and scalability. Strong leadership and communication More ❯

engineering teams and platforms in complex environments. Expertise in modern software practices including DevOps, SRE, IaC, and cloud-native design (Azure, AWS, or GCP). Experience implementing AI/ML-enabled tooling within engineering practices (eg code copilots, test generation, anomaly detection, CI/CD acceleration). Demonstrable success in improving engineering velocity, quality, and scalability. Strong leadership and communication More ❯

engineering teams and platforms in complex environments. Expertise in modern software practices including DevOps, SRE, IaC, and cloud-native design (Azure, AWS, or GCP). Experience implementing AI/ML-enabled tooling within engineering practices (eg code copilots, test generation, anomaly detection, CI/CD acceleration). Demonstrable success in improving engineering velocity, quality, and scalability. Strong leadership and communication More ❯

engineers, and developers. Provide technical leadership and guidance on AWS best practices and architecture patterns. Optimise cloud infrastructure for performance, cost, and security. Support the deployment of AI/ML models and data pipelines in production environments. Stay current with emerging AWS services and recommend improvements to cloud environments. Required Skills & Experience For Manager Level: 5-10 years of hands More ❯