151 to 175 of 657 Remote Machine Learning Jobs

a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate modelling requirements … Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations … contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to .NET-based systems or application integration. Follow our company page, OTA More ❯

a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate modelling requirements … Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations … contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to .NET-based systems or application integration. Follow our company page, OTA More ❯

in cutting-edge client engagement solutions. With a strong international presence and a culture built around agility, innovation, and rapid iteration, this tech-driven organisation thrives on moving fast, learning quickly, and pivoting when needed. As they continue to scale, they're investing heavily in data and AI to drive smarter decision-making and product innovation. Your new role … to the CTO, you'll be responsible for shaping the data science strategy, implementing scalable processes, and delivering impactful insights across the business. You'll work hands-on with machine learning, AI, and LLMs to solve complex problems, while also mentoring your team and engaging with senior stakeholders to align data initiatives with business goals. What you'll … need to succeed Proven experience in a senior or lead data science role Strong hands-on skills in Python and SQL Solid experience with Machine Learning, AI, and Large Language Models (LLMs) Previous people management experience (ideally managing Analysts/Data Scientists) Ability to implement and improve data science processes and workflows Excellent stakeholder management and communication skills More ❯

data pipelines to ensure accurate, consistent and timely data across our analytical and reporting needs Work closely with Data Scientists, Analysts and business SMEs to automate and scale our machine learning and AI capabilities Support the development of our new cloud-based Data Platform, transforming systematic data into a business view for reporting and analytics Take ownership of … best practices Understanding of the development lifecycle and best practices Desire to build relationships with an ability to deliver solutions to meet customers needs Experience in deploying and maintaining machine learning models desirable Experienced in the use of BI tools such as PowerBI/Tableau desirable Understanding of the regulatory environment and the need for data to comply More ❯

met. What Will Make You Stand Out Advanced catastrophe modelling knowledge, especially in exposure/vulnerability domains Applied statistical skills in uncertainty quantification, Bayesian statistics, or Extreme Value Theory Machine learning experience related to climate risk or catastrophe modelling Experience with cloud platforms such as AWS or Google Cloud If you are interested in this role, please apply … Data Scientist, Climate Risk Analyst, Loss Modeller, Statistical Modelling, Earth Observation, Python Programming, R Programming, Catastrophe Modelling, Hazard Modeller, Geospatial Data, Climate Data Science, Extreme Value Theory, Data Scientist, Machine Learning, Bayesian Statistics, Exposure Modelling, Vulnerability Analysis, Model Builder, Hybrid Working, Visa Sponsorship, Relocation Support, Climate Analytics, Financial Risk, Physical Risk, Research Scientist, Data Modelling More ❯

met. What Will Make You Stand Out Advanced catastrophe modelling knowledge, especially in exposure/vulnerability domains Applied statistical skills in uncertainty quantification, Bayesian statistics, or Extreme Value Theory Machine learning experience related to climate risk or catastrophe modelling Experience with cloud platforms such as AWS or Google Cloud If you are interested in this role, please apply … Data Scientist, Climate Risk Analyst, Loss Modeller, Statistical Modelling, Earth Observation, Python Programming, R Programming, Catastrophe Modelling, Hazard Modeller, Geospatial Data, Climate Data Science, Extreme Value Theory, Data Scientist, Machine Learning, Bayesian Statistics, Exposure Modelling, Vulnerability Analysis, Model Builder, Hybrid Working, Visa Sponsorship, Relocation Support, Climate Analytics, Financial Risk, Physical Risk, Research Scientist, Data Modelling More ❯

met. What Will Make You Stand Out Advanced catastrophe modelling knowledge, especially in exposure/vulnerability domains Applied statistical skills in uncertainty quantification, Bayesian statistics, or Extreme Value Theory Machine learning experience related to climate risk or catastrophe modelling Experience with cloud platforms such as AWS or Google Cloud If you are interested in this role, please apply … Data Scientist, Climate Risk Analyst, Loss Modeller, Statistical Modelling, Earth Observation, Python Programming, R Programming, Catastrophe Modelling, Hazard Modeller, Geospatial Data, Climate Data Science, Extreme Value Theory, Data Scientist, Machine Learning, Bayesian Statistics, Exposure Modelling, Vulnerability Analysis, Model Builder, Hybrid Working, Visa Sponsorship, Relocation Support, Climate Analytics, Financial Risk, Physical Risk, Research Scientist, Data Modelling More ❯

play a pivotal role in transforming how data powers innovation across the organisation. ???? Why This Role Stands Out AI at the Core: You'll be applying artificial intelligence and machine learning insights to enhance product performance, user experience, and strategic decision-making. End-to-End Ownership: From discovery to delivery, you'll lead product initiatives that solve real … QA, and marketing-to deliver high-impact solutions. ???? What You Bring 3+ years in Business Analysis or Product Ownership, ideally in Agile/Scrum environments. Experience applying AI or machine learning in a commercial or product context. Strong analytical skills and familiarity with tools like JIRA, Confluence, SQL, or BI platforms. Excellent communication and stakeholder management abilities. Certifications … up to £95,000 + Bonus Exposure to cutting-edge technologies and AI-driven product development A collaborative, inclusive culture that values innovation Opportunities for professional growth and continuous learning Ready to shape the future of data products with AI at the heart of your work? Apply now and be part of a team that's redefining what's More ❯

play a pivotal role in transforming how data powers innovation across the organisation. Why This Role Stands Out AI at the Core : You'll be applying artificial intelligence and machine learning insights to enhance product performance, user experience, and strategic decision-making. End-to-End Ownership : From discovery to delivery, you'll lead product initiatives that solve real … QA, and marketing-to deliver high-impact solutions. What You Bring 3+ years in Business Analysis or Product Ownership, ideally in Agile/Scrum environments. Experience applying AI or machine learning in a commercial or product context. Strong analytical skills and familiarity with tools like JIRA, Confluence, SQL, or BI platforms. Excellent communication and stakeholder management abilities. Certifications … up to £95,000 + Bonus Exposure to cutting-edge technologies and AI-driven product development A collaborative, inclusive culture that values innovation Opportunities for professional growth and continuous learning Ready to shape the future of data products with AI at the heart of your work? Apply now and be part of a team that's redefining what's More ❯

to do the best work of their careers. About You Experience in B2B SaaS Product Management experience, ideally in fintech or investor-related industries . Experience with data science, machine learning, or LLM-based teams – ideally early-stage discovery work. Strong road mapping and prioritisation skills , with a track record of shipping products using Agile. Data-driven mindset … social team : foodie adventures, board games, and rounders matches. Annual company weekender to celebrate and recharge together. Beautiful office in central Bristol + hybrid flexibility. Work with AI and machine learning tech at the forefront of industry innovation. Salary: £50,000 up to £70,000 (DOE) This isn’t just another PM role. It’s a chance to More ❯

to streamline operations and introduce smarter, technology-driven solutions, making use of modern tools such as Robotic Process Automation (RPA), APIs, Artificial Intelligence (AI) and Machine Learning (ML).This is a great opportunity for someone with strong RPA development skills who enjoys shaping technical standards and delivering impactful automation at scale. You’ll play a key role in … coding standards and governance. Providing post-deployment support and resolving issues as required. About you Hands-on experience with the UiPath Automation Platform (Studio, Orchestrator, Document Understanding, AI/ML models, UiPath Apps). Solid knowledge of RPA frameworks (REFramework, Document Understanding Framework) and experience with both attended and unattended bots. Strong understanding of automation design principles, debugging, exception handling … and logging. Working knowledge of SQL, APIs, AI/ML concepts. Comfortable working in agile, fast-paced environments with version control/DevOps tools. Confident communicator with clear documentation skills. Nice to have Familiarity with C#, Python or scripting for automation. Knowledge of other automation technologies (Power Automate, PowerShell, etc.). Understanding of IT infrastructure (networking, cryptography, databases). Experience More ❯

the largest AI machines in the country. This is a varied and high-impact role, with responsibilities spanning: Hands-on technical work - designing, developing, and optimising AI workflows and machine learning systems. Outreach & collaboration - running seminars, training sessions, and engaging with academic, public sector, and commercial stakeholders. Leadership - guiding a small specialist team of engineers (though this is … in AI and machine learning and is now looking to apply their expertise on a national stage. Essential experience and skills: Strong track record in AI/ML development and workflows. Proven ability to design and optimise workflows for large-scale systems. Solid hands-on coding experience (C/C++, Fortran, or similar) with complex, scalable systems. Experience More ❯

the largest AI machines in the country. This is a varied and high-impact role, with responsibilities spanning: Hands-on technical work - designing, developing, and optimising AI workflows and machine learning systems. Outreach & collaboration - running seminars, training sessions, and engaging with academic, public sector, and commercial stakeholders. Leadership - guiding a small specialist team of engineers (though this is … in AI and machine learning and is now looking to apply their expertise on a national stage. Essential experience and skills: Strong track record in AI/ML development and workflows. Proven ability to design and optimise workflows for large-scale systems. Solid hands-on coding experience (C/C++, Fortran, or similar) with complex, scalable systems. Experience More ❯

This hybrid role requires 2 days per week on-site and focuses on delivering advanced AI and data science solutions using cutting-edge technologies. Key Responsibilities: Design and implement machine learning models to solve complex business problems. Develop and deploy AI models using Python and Azure. Perform data analysis and build scalable solutions using SQL and other data … science tools. Collaborate with cross-functional teams to integrate AI into enterprise systems. Required Skills: Strong experience in Machine Learning , AI Modelling , and Data Science . Proficiency in Python , SQL , and Azure . Hands-on experience with modern AI and data science technologies. Ability to work in a fast-paced, collaborative environment. What's on Offer: £700/ More ❯

This hybrid role requires 2 days per week on-site and focuses on delivering advanced AI and data science solutions using cutting-edge technologies. Key Responsibilities: Design and implement machine learning models to solve complex business problems. Develop and deploy AI models using Python and Azure. Perform data analysis and build scalable solutions using SQL and other data … science tools. Collaborate with cross-functional teams to integrate AI into enterprise systems. Required Skills: Strong experience in Machine Learning , AI Modelling , and Data Science . Proficiency in Python , SQL , and Azure . Hands-on experience with modern AI and data science technologies. Ability to work in a fast-paced, collaborative environment. What's on Offer: £700/ More ❯

Responsibilities: Report directly to the Chief Technology Officer and collaborate with product, sales, and strategy teams. Develop and test hypotheses to solve critical business challenges. Apply statistical modelling and machine learning to predict trends, improve user experience, and drive operational efficiency. Translate complex analyses into clear, actionable insights for non-technical stakeholders. Build dashboards and data products that … a commercial or technology-driven business. Strong statistical knowledge and ability to design and test hypotheses. Proficiency in Python or R, SQL, and modern data science libraries. Experience with machine learning techniques and real-world application. Ability to tell the story behind the numbers — distilling complex findings into practical business recommendations. Strong communication and presentation skills with both More ❯

Responsibilities: Report directly to the Chief Technology Officer and collaborate with product, sales, and strategy teams. Develop and test hypotheses to solve critical business challenges. Apply statistical modelling and machine learning to predict trends, improve user experience, and drive operational efficiency. Translate complex analyses into clear, actionable insights for non-technical stakeholders. Build dashboards and data products that … a commercial or technology-driven business. Strong statistical knowledge and ability to design and test hypotheses. Proficiency in Python or R, SQL, and modern data science libraries. Experience with machine learning techniques and real-world application. Ability to tell the story behind the numbers — distilling complex findings into practical business recommendations. Strong communication and presentation skills with both More ❯

Responsibilities: Report directly to the Chief Technology Officer and collaborate with product, sales, and strategy teams. Develop and test hypotheses to solve critical business challenges. Apply statistical modelling and machine learning to predict trends, improve user experience, and drive operational efficiency. Translate complex analyses into clear, actionable insights for non-technical stakeholders. Build dashboards and data products that … a commercial or technology-driven business. Strong statistical knowledge and ability to design and test hypotheses. Proficiency in Python or R, SQL, and modern data science libraries. Experience with machine learning techniques and real-world application. Ability to tell the story behind the numbers — distilling complex findings into practical business recommendations. Strong communication and presentation skills with both More ❯

you have some of what we are looking for, even if you're not 100% sure, we would love to hear from you. Job Details: Develop best in-class ML models to predict claims outcomes, fraud and other risk KPIs. Work with ML Engineers to deploy ML models. Monitor deployed ML models, and link performance to commercial value KPIs. Present … to Operational and Commercial stakeholders. Explore new technologies and contribute to setting team's best practices. Skills we would love you to have: Proficiency in Python and experience with ML libraries for building and deploying machine learning solutions in cloud environments. Ability to think commercially and link ML model performance to commercial KPIs. Experience using structured query languages … SQL). Keen interest in emerging new ML techniques and their commercial value. Ability to communicate across teams of Data Scientists, Data Engineers, ML Engineers, Operational and Commercial stakeholders The interview process: Our interview process involves the below: Recruiter screening call Intro with Hiring manager Interview with hiring team - Case studyAs a Disability Confident employer, we're committed to ensuring More ❯

and tracking. You will be working in an environment that values technical depth, rigorous research, and practical application of cutting-edge ideas. Key responsibilities include: Designing and optimising deep learning models for real-world performance. Building robust computer vision pipelines for detection, segmentation, and tracking. Combining classical computer vision methods (OpenCV, feature extraction, motion tracking) with modern CNN architectures. … science techniques to evaluate and refine models. Contributing to a collaborative research culture, sharing insights and results with peers. Key experience needed: Proven experience in optimising and deploying deep learning models at scale. Expertise in OpenCV and classical computer vision approaches. Strong knowledge of CNN building blocks, training dynamics, and segmentation/detection techniques. Skilled in dataset curation and … management for machine learning pipelines. A data-driven approach with excellent skills in metrics and statistical analysis. Passionate about applying computer vision research to solve complex, real-world problems. The role is offering a base salary of £70,000 per annum + a wealth of benefits, including a bonus of up to 100%. This is a remote More ❯

Security+ CE, DoD 8570 IAT II Requirements: U.S. Citizenship Active TS/SCI with polygraph A Bachelor's Degree and Twenty (20) years of relevant experience. Experience with Splunk Machine Learning Toolkit (MLTK) Proficiency in scripting languages such as CSS, HTML, JavaScript, and Python Knowledge of RMF, Trellix ePO, NESSUS, SCAP, and vulnerability scanning tools Experience with ServiceNow … Strong organizational, communication, and collaboration skills Desired Skills Experience managing user authentication within Splunk including RBAC/ABAC Experience reviewing network, host, and firewall security logs Experience with Splunk Machine Learning Toolkit (MLTK) Experience with scripting languages such as CSS, HTML, JavaScript, and Python Knowledge of RMF, Trellix ePO, NESSUS, SCAP, and vulnerability scanning ServiceNow Ticketing System Shell More ❯

Dawn Ellmore Employment are working on exceptional opportunities for Part and Fully Qualified Patent Attorneys who have expertise in artificial intelligence (AI), computer implemented inventions, machine learning, telecommunications, software or a related area, to join a growing team in London. You will be networking with some of the most pioneering inventors and highly recognised companies and intensifying your More ❯

Product Designer | B2B Saas | Artificial Intelligence | Travel 🚀✈️ Role: Product Designer Location: Fully Remote across Europe Salary: up to £65,000 🚀 Scaling B2B SaaS 🤖 AI & Machine Learning Technologies ✈️ Travel & Hospitality Industry We are partnered with an exciting B2B SaaS company who are on a mission to revolutionise the travel and hospitality space. Their innovative decision-intelligence platform utilises AI … Machine Learning to provide their clients, such as Booking.com and Expedia, with game changing insights. ✈️✨ Following a successful series of feature launches earlier this year, they’re shifting into a growth and scale phase - focusing heavily on onboarding, automation, and long-term user engagement. They’re now hiring a Product Designer to help lead the next stage of More ❯

ability to mentor team members, manage technical projects, and influence technical decisions across cross-functional teams Desirable - The following would be great additions but are not required: AI/ML Expertise : Advanced machine learning knowledge, AI engineering practices, and experience with ML frameworks in production environments Advanced Architecture & DevOps : Deep understanding of event-driven architecture, advanced microservices patterns … and collaborative mindset (we appreciate authenticity!) What We Offer: We offer the opportunity to lead technical initiatives affecting millions of users globally while working with cutting-edge AI/ML technologies and contributing to research initiatives. You'll have clear advancement paths toward technical leadership with strategic influence on product direction. We provide remote work options and maintain a culture More ❯

Role: ML & Cloud Infrastructure Engineer Salary: £140,000 - £160,000 + Equity Location: London - Hybrid (3-5 days a week) Our client is pioneering a frontier 3D foundation model at the intersection of AI, computer vision, and spatial computing. Their mission is to transform how industries from robotics and AR/VR to gaming and film create and interact with … 3D content. They are seeking an ML & Cloud Infrastructure Engineer to design and maintain the scalable infrastructure that powers cutting-edge machine learning workloads and production systems. This is a chance to work at the forefront of AI innovation in 3D technology, with huge scope to shape the platform and practices in a fast-moving startup environment. The … role will involve: Building and maintaining scalable cloud infrastructure (AWS, GCP, Azure) for ML workloads and APIs Setting up ML nodes for distributed training and local development Managing containerised environments (Docker, Kubernetes, Terraform) Optimising storage for big data pipelines supporting ML workloads Monitoring systems and responding to incidents, ensuring reliability and performance Working closely with ML engineers and researchers to More ❯