1,526 to 1,550 of 2,604 Remote Machine Learning Jobs

actionable insights for engineering services. You will work across the full lifecycle from stakeholder needs to delivering data-driven solutions with SQL, Python and ML techniques. The role offers a flexible, hybrid working pattern, engaging with NHS, Oxford University and other high-profile clients, and opportunities to lead complex analytics ...

work on streaming and batch systems (Flink/Spark/Kafka), maintain cloud infrastructure on AWS, and contribute to analytics, data science, and ML initiatives in a fast-paced #J-18808-Ljbffr ...

contract role offers flexible hours and meaningful, task-based work. Ideal candidates hold a Master’s or PhD in a quantitative field, have strong ML/NLP knowledge, and can communicate complex results clearly in #J-18808-Ljbffr ...

Candour Solutions in London seeks a Machine Learning Engineer to join on a hybrid basis. You will contribute to ML solutions for connected commerce marketing, turning business data into scalable, measurable insights and products. You will work with multidisciplinary teams to deploy models, analyse data pipelines, and ensure ...

hybrid working (2+ days per week in Central London) Strong progression across DevOps & AI systems Mid & Senior DevOps Engineers | London Hybrid | AI Fintech | LLM | ML | Start-Up | Pulumi | Terraform | AWS | Amazon Web Services #J-18808-Ljbffr ...

emerging technologies and patterns to ensure the platform remains leading edge and competitive. Lead in the continued evolution of the use of AI and ML capabilities with ensure responsible and secure adoption of these methods. Identify where AI can provide opportunities to improve customer experience, operational efficiency and acceleration ...

Posted on 04/03/2026 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description We are looking to hire Data Engineer- Advanced Analytics role ...

system designs/products and recommending pragmatic mitigations that balance cost, risk and usability. Experience in one of the following disciplines - (AI/ML, Cloud, Security Architecture, M365, Data) Strong knowledge of security standards and regulations (e.g. NCSC, ISO, SoC, NIST, PCI, GDPR). Background in application architecture, software development ...

quality. Solid understanding of data governance, security, and compliance frameworks. Experience with data visualisation (Tableau, Looker, Kibana or Power BI). Experience usingAI/ML data pipelines, MLOps, or related workflows and the processes around testing, monitoring, and SLAs. Passion for mentoring other engineers and contributing to the development ...

/Teams automation, datacentre or colocation environments, GPU infrastructure, DCIM, IPAM, virtualisation platforms or LLM-assisted operational automation. This is not an AI/ML development position. We're looking for someone who understands production infrastructure and can use software engineering and automation to make that infrastructure more reliable. ...

role in shaping modern data platforms, supporting large-scale data migration and establishing architecture standards that enable future capabilities across reporting, analytics, AI and machine learning. The role You will be responsible for: Defining enterprise data architecture principles, standards and strategic roadmaps Designing and maintaining conceptual, logical and physical ...

coding, training and transitioning models from research to production environments. Integrate AI features into existing products, enriching them with the latest advancements in machine learning. Minimum Requirements: 5+ years of experience working with C and C++. Experience working in low level OS/Systems/Kernel development. Knowledge ...

ground up, and hiring 3 AI Engineers to join at the very start of that journey. These are applied AI engineering roles - not ML/data science, not model-building. We're ideally looking for BE/Full-stack Engineers who progressed into AI Engineering 1-2 years ago. ...

maintain contract templates, playbooks and negotiation principles. Product, Data & Privacy Partner with Product and Engineering on new product features, data usage, AI/ML initiatives, and regulatory considerations. Advise on data protection, cybersecurity, and cross‐border data transfer issues (GDPR and other global regimes). Support privacy compliance frameworks, DPIAs ...

OpenCPI-based systems, ensuring maximum efficiency and reliability on an exciting variety of hardware platforms. Innovation – Embrace the use of the latest AI/ML tooling and hybrid cloud compute environments to deliver results that continually outpace and challenge the status quo. Collaboration & Reporting – Use Agile principles and strong communication ...

experience where you have preferably launched Agentic AI related products, with an ability to provide proven examples of this Familiarity with AI/ML or data extraction (e.g., NLP) preferred Understanding of how to set up AI agents Experience of communicating with 3rd Party suppliers, along with knowing ...

OpenCPI-based systems, ensuring maximum efficiency and reliability on an exciting variety of hardware platforms.Innovation – Embrace the use of the latest AI/ML tooling and hybrid cloud compute environments to deliver results that continually outpace and challenge the status quo.Collaboration & Reporting – Use Agile principles and strong communication to work ...

showback/chargeback and accountability across operating companies. Provide architectural guidance to balance cost, performance, scalability and resilience. Define infrastructure architecture for AI/ML workloads, advanced analytics and high-performance computing. Ensure platforms are AI‐ready with scalable compute, data integration, secure access and responsible AI controls. Evaluate emerging ...

feedback and outcomes SKILLS & EXPERIENCE WE’RE LOOKING FOR 7–10 years of experience in Financial Services or Product Management Experience applying AI/ML or data‐driven solutions within financial or investment workflows Ability to translate investment problems into AI‐enabled product opportunities Experience leading rapid prototyping and delivering ...

security standards and regulations (e.g. NCSC, ISO, SoC, NIST, PCI, GDPR).• Deep architectural xxperience in one of the following specialisms: AI/ML Security/Cloud/M365/DevSecOps Security Architecture • Experience in application architecture, software development and/or infrastructure architecture.• Clear communication with technical ...

with MATLAB/Simulink and modelling/simulation environments. Understanding of system safety, FMEA/FMECA and technical risk management. Experience integrating AI/ML-enabled perception or autonomous functionality isdesirable. Ability to support customer bids and proposals, including interpreting and responding tonew customer requirements. Experience using AI-based engineering ...

will combine deep expertise across the Snowflake ecosystem-including Snowflake Data Cloud, Cortex AI, Snowpark, Native Apps, Data Sharing, Data Engineering, AI/ML, and Modern Data Platforms-with a strong consulting mindset to help clients modernize data estates, unlock AI-driven insights, and deliver measurable business outcomes. ...

will combine deep expertise across the Snowflake ecosystem—including Snowflake Data Cloud, Cortex AI, Snowpark, Native Apps, Data Sharing, Data Engineering, AI/ML, and Modern Data Platforms—with a strong consulting mindset to help clients modernize data estates, unlock AI-driven insights, and deliver measurable business outcomes. ...

will combine deep expertise across the Snowflake ecosystem—including Snowflake Data Cloud, Cortex AI, Snowpark, Native Apps, Data Sharing, Data Engineering, AI/ML, and Modern Data Platforms—with a strong consulting mindset to help clients modernize data estates, unlock AI-driven insights, and deliver measurable business outcomes.As ...

Docker's developer experience Qualifications Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker's primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding ...