126 to 150 of 425 Remote/Hybrid Machine Learning Jobs

This role is ideal for someone early in their career who’s excited by data, passionate about sustainability, and eager to apply analytics and machine learning to help drive the energy transition. You’ll sit within a collaborative data and analytics function, contributing to projects focused on energy … insights, reporting, and optimisation, while learning from experienced data professionals in a supportive, growth-oriented environment. 🔍 In this role, you’ll: 📈 Develop and support analytical and statistical models using Python 🛠 Work with real-world energy and environmental datasets, including data cleaning, validation, and feature engineering ☁️ Use AWS services ...

want to build infrastructure that enables entirely new scientific discovery? Have you scaled data systems for ML workloads where performance actually matters? Are you ready to own foundational infrastructure at global, research-grade scale? We’re working with a mission-driven AI research organisation applying advanced multimodal machine learning (audio, spatial, sensor, text, etc.) to understand animal communication. Operating at the intersection of ML research, large-scale data infrastructure, and real-world biological data, this team functions like a high-performance research lab with production-grade engineering standards. They are entering a growth phase and are scaling ...

functions of the organisation, the automation team and other formulation teams, to build, advance and make digital capabilities available within the organisation. Predictive Modelling & Machine Learning: Applying techniques such as model predictive control, PCA, clustering, PLS, and neural networks to optimize formulation development and predict material properties. Soft … identify best candidates for new materials, predict stability, and guide formulation decisions. Robotic Lab Automation: Designing intelligent robotic workflows that combine cobot programming with machine vision and data-driven models to automate laboratory actions, enhance process monitoring, and support real-time decision-making. Knowledge Management & Enterprise Systems: Developing ontologies ...

functions of the organisation, the automation team and other formulation teams, to build, advance and make digital capabilities available within the organisation. Predictive Modelling & Machine Learning:Applying techniques such as model predictive control, PCA, clustering, PLS, and neural networks to optimize formulation development and predict material properties. Soft … identify best candidates for new materials, predict stability, and guide formulation decisions. Robotic Lab Automation: Designing intelligent robotic workflows that combine cobot programming with machine vision and data-driven models to automate laboratory actions, enhance process monitoring, and support real-time decision-making. Knowledge Management & Enterprise Systems: Developing ontologies ...

shaping the future of cyber and intelligence. We're committed to innovating at the Edge: Harnessing the latest advancements in cyber, artificial intelligence, and machine learning to stay ahead of emerging threats and opportunities. This Program is seeking a full stack software engineer to develop, maintain and enhance … similar software processes may be substituted for a bachelor's degree. Desired Skills: Sourcing for SWE1 candidate with experience with the below: - AI/ML development or integration experience - Terraform experience with AWS - C++, Python and/or Golang - Experience with writing high-performance/GPU-enabled applications - Experience with ...

hands-on role combining technical ownership and production-grade model deployment. The Role As Senior Data Scientist, you will: Own end-to-end ML solutions -from problem framing and feature engineering to deployment, monitoring, and governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints Build … regulated environment This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience Proven commercial ML/Data Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong ...

investment behind technology and AI, they are now evolving towards a more sophisticated, data-driven operating model. The Role Lead the development of predictive ML models to optimise pricing, bidding strategies, and market behaviour. Build data-driven workflows that improve operational processes and automate manual tasks. Contribute to early-stage … capability in a growing team. High visibility with opportunities to shape strategy, tooling, and delivery standards. Future headcount growth, including adjacent roles such as ML Ops. How to Apply If this opportunity sounds like the right next step, please apply with your CV or email me at for more information. ...

team in Newcastle. The role focuses on developing software-driven analytical solutions that support complex engineering challenges. Key responsibilities include: Developing and validating predictive machine learning models Designing and implementing ETL (Extract, Transform, Load) pipelines using Python and SQL Performing exploratory data analysis, visualisation, and interpretation Contributing ...

implement scalable data platforms using the Databricks Lakehouse architecture. The role involves building modern data pipelines, optimizing data platforms, and enabling analytics and machine learning capabilities across the organization. Key Responsibilities Design and implement data architectures on the Databricks Lakehouse Platform Build and optimize ETL/ELT pipelines ...

implement scalable data platforms using the Databricks Lakehouse architecture. The role involves building modern data pipelines, optimizing data platforms, and enabling analytics and machine learning capabilities across the organization. Key Responsibilities Design and implement data architectures on the Databricks Lakehouse Platform Build and optimize ETL/ELT pipelines ...

iGaming Experience working with sportsbook, casino, or betting datasets 🐍 Strong Python (Pandas, NumPy, Scikit-learn) 🗄️ Advanced SQL and large dataset querying 📊 Statistical modelling & machine learning Player behaviour or betting analytics exposure 💬 Strong stakeholder communication skills ⭐ Desirable Skills Odds modelling or trading analytics Responsible gambling/player risk analytics ...

opportunity to work at the heart of a highly data-driven trading environment, building the platforms and pipelines that power advanced analytics, machine learning and systematic trading strategies. The firm operates across global energy and commodities markets and is known for combining quantitative research, advanced analytics and modern ...

designing solutions within the Azure data platform ecosystem (e.g., data integration, analytics, storage, and BI services). Strong background in AI solution design, including machine learning, generative AI, cognitive services, and responsible AI principles. Expertise in modern data architecture approaches such as lakehouse, distributed data models, ELT/ ...

technologies Lead technical project delivery, ensuring successful client outcomes and quality standards Consult with clients on solution architecture, technology selection, and implementation approach Develop machine learning and AI solutions that add value and drive business insight Mentor and manage junior consultants, supporting their technical and professional development Contribute ...

this role as a key part of our strategy to modernise work and take advantage of the latest developments in Power Platform, machine learning, and data science. The successful candidate will have a leading role in shaping our development strategy and the role has the potential to evolve ...

teams (5+ people). AI Proficiency: Strong hands-on experience with AI automation tools and a clear vision of how to apply LLMs and machine learning to workflows, preferable in Marketing. Process Engineering: You don't just follow processes; you build them. You have a knack for turning ...

teams (5+ people). AI Proficiency: Strong hands-on experience with AI automation tools and a clear vision of how to apply LLMs and machine learning to workflows, preferable in Marketing. Process Engineering: You don't just follow processes; you build them. You have a knack for turning ...

distributed systems Desirable Experience Betting, gambling, or other real-time domains (e.g. trading, finance) DevOps, CI/CD, AWS, Terraform Exposure to data science, ML, or real-time telemetry Senior Software Engineer - Python - London ...

design artefacts, including documentation • Knowledge of working with contemporary technologies and concepts e.g. MBE, MBSE, digital twins, simulated environments, AR/VR, AI/ML, IoT, etc. • Demonstrates understanding, knowledge and Knowledge of Systems Engineering with a focus on software-based product development including knowledge of appropriate Systems Engineering ...

Retail, CPG, OR Manufacturing). The ideal candidate will have a proven track record in selling digital transformation solutions around Data, Cloud, AI/ML, GenAI and a deep understanding of the Retail, CPG, and Manufacturing sectors. This role requires a strategic thinker with excellent leadership skills, who can drive ...

time AI interactions, knowledge retrieval, and automation. Optimize AI-powered UIs to ensure seamless and intuitive user experiences. Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications. Ship robust, minimal-dependency code that performs efficiently in enterprise environments. ...

time AI interactions, knowledge retrieval, and automation. Optimize AI-powered UIs to ensure seamless and intuitive user experiences. Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications. Ship robust, minimal-dependency code that performs efficiently in enterprise environments. ...

time AI interactions, knowledge retrieval, and automation. Optimize AI-powered UIs to ensure seamless and intuitive user experiences. Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications. Ship robust, minimal-dependency code that performs efficiently in enterprise environments. ...

time AI interactions, knowledge retrieval, and automation. Optimize AI-powered UIs to ensure seamless and intuitive user experiences. Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications. Ship robust, minimal-dependency code that performs efficiently in enterprise environments. ...

time AI interactions, knowledge retrieval, and automation. Optimize AI-powered UIs to ensure seamless and intuitive user experiences. Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications. Ship robust, minimal-dependency code that performs efficiently in enterprise environments. ...