1,201 to 1,225 of 2,615 Remote/Hybrid Machine Learning Jobs

They can also build sophisticated, full-fledged programs, such as common operating pictures, alert-triaging inboxes, and resource allocation planning tools driven by rich-ML models.As a Senior Front End Software Engineer focused on application development in Foundry, you will be responsible for crafting the tools used by thousands ...

They can also build sophisticated, full-fledged programs, such as common operating pictures, alert-triaging inboxes, and resource allocation planning tools driven by rich-ML models. As a Senior Front End Software Engineer focused on application development in Foundry, you will be responsible for crafting the tools used by thousands ...

models for complex global organizations that cover the full trading and commodity lifecycle.Digital Transformation: Working with clients to mature their digital capabilities and embed ML and AI into their architectures, including improving commercial decision-making and trader decision support tooling in use.Trading solution transformations: Leading implementations, upgrades, and system selections ...

customer impact. Proven organizational builder — designs structures with clear domains of ownership and develops leaders beneath you. AI-forward: has applied AI/ML-driven automation to real operational workflows and can lead others to do the same. Leadership Profile Disciplined prioritization: force-ranks initiatives, publishes clear roadmaps and holds ...

established international platform across the UK and Canadian markets. Day to day responsibilities include: Production System Health: Oversee, refresh, and retrain the live ML model suite without needing to overhaul the underlying architecture. Keep an eye on model performance and drift. Commercial Analytics: Monitor baseline UK/CA performance metrics … Stack: Advanced SQL and Python (or R ) skills to maintain existing codebases and pipelines. Model Stewardship: Practical expertise in monitoring, troubleshooting, and retraining live ML models. Autonomous Operator: High self-direction to manage daily BAU operations with minimal oversight. Clear Communicator: Able to translate complex technical issues into actionable business ...

applied machine learning/data science, with proven experience deploying models or AI systems into production Deep understanding of AI/ML architectures and patterns: RAG, prompt engineering, fine-tuning, evals, LLM orchestration, or equivalent applied ML/data science methods Python and/or TypeScript Comfortable working … Fully remote Competitive day rate, DOE Immediate/near-term start If you're SC cleared and have genuine, hands-on experience shipping AI, ML, or data science work into production, we'd love to hear from you. ...

train, debug, and improve computer vision and 3D perception models, and iterate based on clear evaluation signals. You’ll work across the full ML lifecycle (data training evaluation iteration), partnering with the team to decide what to tackle next based on where the system is underperforming. A meaningful portion … coverage at scale.ð You should apply if:You’ve built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research-only). You have experience with 3D perception concepts or pipelines (e.g., LiDAR, multi-view geometry, tracking, 3D reconstruction) and you’re comfortable ...

Chattermill Analytics Limited is hiring a Senior Machine Learning Engineer (UK or Poland) with remote or hybrid options. You will work on customer feedback … analytics using advanced AI, including custom fine-tuning and LLM-powered features. You’ll collaborate across engineering, product, and commercial teams to deliver scalable ML solutions. The role focuses on building, evaluating, and deploying models, improving semantic search, and maintaining production pipelines. #J-18808-Ljbffr ...

Sona is seeking a Machine Learning Engineer to join their team in the UK. You will be responsible for deploying ML systems and ensuring client satisfaction. This role is fully remote, allowing you to work across European time zones. Successful candidates will have production ML experience, strong programming ...

frame the problem, build the solution, and drive it to real commercial impact, working directly alongside customer teams.Apply and adapt frontier ML, forecasting, and optimisation techniques — and increasingly agentic AI — to problems that don’t have a textbook answer.Turn what works on the ground into product direction, so each engagement … edge of what’s possible in applied AI, and bring it back to the team.What you'll bring to the teamStrong track record applying ML/data science to real-world commercial problems, ideally with depth in forecasting, optimisation, or supply-chain/pricing.The instinct to own outcomes, not tasks ...

frame the problem, build the solution, and drive it to real commercial impact, working directly alongside customer teams. Apply and adapt frontier ML, forecasting, and optimisation techniques — and increasingly agentic AI — to problems that don’t have a textbook answer. Turn what works on the ground into product direction … what’s possible in applied AI, and bring it back to the team. What you'll bring to the team Strong track record applying ML/data science to real-world commercial problems, ideally with depth in forecasting, optimisation, or supply-chain/pricing. The instinct to own outcomes ...

challenges and create valuable products and/or solutions such as insight solutions (inc. BI reporting suites), MarTech/data driven CX solutions or ML/AL solutions (inc, predictive, forecasting, classification and deep learning models). Project Management Excellence - Proven project management experience, including planning, execution, and successful … delivery of Analytics and AI/ML POCs, MVPs and production-grade solutions. Commercial Acumen - Commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements and client negotiation. Experience building strong relationships with senior client stakeholders to identify and execute against new sales opportunities. People Manager -People ...

team of engineers. You will shape deployment, observability, and scalable machine learning systems across the platform. You will collaborate with ML Engineers, Data Engineers, Software Engineers, Data Scientists, Product Managers and stakeholders to deliver production-ready models and AI services that drive business value. The role adopts ...

concepts can successfully transition into operational capability. Artificial Intelligence is a major part of that journey. You'll be working with programmes exploring AI, machine learning, autonomous systems, human-machine teaming, digital engineering, cloud technologies, cyber capabilities, advanced communications, and multi-domain integration. They're looking ...

make AI software development on the Arm architecture simple and intuitive. We are growing our team and are looking for a passionate Staff ML Engineer to help us build our expertise in ML tooling and deliver the next generation of developer experiences for Arm. The ideal candidate will combine strong … software engineering skills with deep practical experience of ML model optimisation and deployment. You will help make sophisticated ML optimisation techniques accessible to developers by building tools that analyse, optimize, and prepare models for efficient execution on Arm-based platforms. You will work across developer tools, ML frameworks and emerging ...

incremental gains.Team management & cross-functional executionAs a people and execution leader you will:Make things happen — lead a high-performing, cross-functional team of ML engineers and applied scientists working across generative modelling, generation infrastructure and training. Drive quarterly planning and execution in a high-ambiguity environment where the target … success as a Tech Lead Manager at Wayve, we’re looking for the following skills and experience.Essential5+ years of experience in ML engineering or applied research roles, with a track record of training and shipping neural networks — not only operating data platforms.4+ years of people management experience, including direct reports ...

Maxwell Bond is seeking a Senior Machine Learning Engineer in West London for a hands-on role spanning the full ML lifecycle. The position is hybrid, with 2 days onsite, and focuses on building production‐grade models at scale. Ideal candidates will have 4+ years in ML engineering ...

RedTech Recruitment seeks a Machine Learning Research Engineer specializing in NLP/LLMs to explore new concepts, prototype approaches, and assess feasibility for industry-leading software solutions. Cambridge based … with a 3 days in-office, 2 days remote arrangement. The ideal candidate holds a Ph.D. in a relevant field, with strong NLP/ML expertise, publications, and experience with PyTorch, TensorFlow and Scikit-Learn, plus data science work on large datasets. #J-18808-Ljbffr ...

architecture—across a fast-moving, highly regulated landscape. Going beyond traditional project management, you are a technical enabler who partners directly with engineering and ML teams. You will navigate architectural roadblocks, secure sensitive drug discovery pipelines, and ensure leadership has the data-driven, operational visibility needed to protect a pioneer … debt, and research velocity without stalling innovation.Cross-Functional Influence: Exceptional ability to influence without formal authority, championing security as a core priority across engineering, ML, and business teams.Proactive Problem Solving: You anticipate architectural bottlenecks, untangle cross-team dependencies, and turn complex organisational friction into clear, actionable project plans.Translational Communication: Highly ...

automation technologies. Experience supporting enterprise production environments. Preferred qualifications Experience implementing OpenTelemetry. Experience working with AI-driven operations platforms. Experience with predictive analytics or machine learning for operations. Experience supporting SRE organizations and platform teams. Knowledge of Kubernetes and cloud-native application architectures. Experience integrating observability data into … platforms and AI solutions. Core Competencies Observability Engineering AIOps Service Reliability Data Analysis Incident Management Systems Thinking Automation Root Cause Analysis Customer Focus Continuous Learning Wir bieten What We're Offering This position will be occupied in Villach. It is subject to the Austrian Collective Bargaining Agreement for Employees ...

restaging), generate multimodal synthetic experience at scale, and land that data in the same training stack we use for real driving. You sit between ML research and engineering: collaborating with scientists on architecture and conditioning, and with platform engineers on generation jobs, training artefacts, and how synthetic data is mixed … youTo set you up for success as a MLE at Wayve, we’re looking for the following skills and experience:4+ years in applied ML/research engineering, with a track record of training and shipping neural nets, not only operating data platforms.Strong Python and PyTorch (or equivalent); comfort with ...

restaging), generate multimodal synthetic experience at scale, and land that data in the same training stack we use for real driving. You sit between ML research and engineering: collaborating with scientists on architecture and conditioning, and with platform engineers on generation jobs, training artefacts, and how synthetic data is mixed … success as a MLE at Wayve, we’re looking for the following skills and experience: 4+ years in applied ML/research engineering, with a track record of training and shipping neural nets, not only operating data platforms. Strong Python and PyTorch (or equivalent); comfort with GPU training, debugging ...

engagement trends, and BI dashboard metrics into executive-ready status updates.Orchestrate AI & BI Roadmaps: Direct complex, cross-functional programs spanning Data Engineering, AI/ML, Product, and Traveler CX teams to ensure business intelligence initiatives land on time.Deliver Operational Momentum: Maintain project management rigor across data pipelines, predictive search features … data strategy initiatives.BI & AI Competency: Strong command of business intelligence frameworks, visualization tools (e.g., Looker, Tableau), SQL, and practical understanding of AI/ML lifecycles (including Generative AI and predictive modeling).Cross-Functional Leadership: Proven ability to manage complex technical roadmaps involving data engineers, data scientists, product managers, and business ...

world's most innovative financial institutions. Your mission is to secure the technical win by demonstrating how Taktile leverages Generative AI and advanced ML to solve complex credit, risk, and fraud challenges. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value … cases that justify significant investment and strategic partnership. You lead the design and execution of proof‐of‐value projects that combine customer data, ML/AI models, and Taktile’s platform to demonstrate strategic ROI. You build technical prototypes and demos leveraging the Taktile platform that simulate production‐grade integrations ...

trends, and BI dashboard metrics into executive-ready status updates. Orchestrate AI & BI Roadmaps: Direct complex, cross-functional programs spanning Data Engineering, AI/ML, Product, and Traveler CX teams to ensure business intelligence initiatives land on time. Deliver Operational Momentum: Maintain project management rigor across data pipelines, predictive search … data strategy initiatives. BI & AI Competency: Strong command of business intelligence frameworks, visualization tools (e.g., Looker, Tableau), SQL, and practical understanding of AI/ML lifecycles (including Generative AI and predictive modeling). Cross-Functional Leadership: Proven ability to manage complex technical roadmaps involving data engineers, data scientists, product managers ...