176 to 200 of 1,125 Remote Machine Learning Jobs

the United Kingdom. About You You are a passionate, friendly and enthusiastic person with a proven track record of successful software sales to enterprise customers. You are comfortable promoting machine learning and the impact of Indico's technology on the bottom line for large organizations. You understand how to interact with a variety of stakeholders and are adaptable … the United Kingdom. About You You are a passionate, friendly and enthusiastic person with a proven track record of successful software sales to enterprise customers. You are comfortable promoting machine learning and the impact of Indico's technology on the bottom line for large organizations. You understand how to interact with a variety of stakeholders and are adaptable … the business processes, technology and ecosystems supporting the global insurance industry Extraordinary energy and drive as a key team player for our most strategic accounts Bonus An interest in Machine Learning Experience working in a start-up Likes to laugh and enjoys puns MEDDPICC certification $140,000 - $150,000 a year As part of this role candidates are More ❯

of ARM/x86 assembly Fundamental knowledge about parameter efficient fine-tuning techniques (e.g., LoRA, PEFT) Good written and verbal English communication skills Responsibilities: As a (Senior) AI/ML Engineer - Performance Optimization (f/m/d) at Cinemo, you will play a critical role in the development and enhancement of our AI/ML powered applications for a … x86/x64, ARM/ARM64, Qualcomm) and OS platforms such as Android Automotive OS (AAOS) and Linux. Your primary responsibility will be to port and optimize AI/ML models for various hardware and OS customer platforms. In this role, you will: Focus on ensuring that state-of-the-art models run with maximum performance on a wide range … of platforms Develop concepts for running AI/ML models on various platforms Optimize, tune and evaluate AI/ML models for different platforms Make the most out of hardware and software platforms in the field of AI/ML Ensure that every bit of available performance is used for the best possible user experience Technologies: AI ARM Android Cloud More ❯

and improve customer engagement. As a Senior AI Engineer within the Technology Engineering team in CIO, you will play a pivotal role in designing, developing, and deploying AI and machine learning solutions that address real-world business challenges. You will work closely with cross-functional teams-including Data Science, Engineering, Product, and Business stakeholders-to identify opportunities for … engineers, promote reusability of AI components, and support the continuous improvement of AI engineering practices across the organisation. Skills we would love you to have: Experience in AI/ML engineering or applied machine learning. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using APIs, containers, or cloud-native services. Familiarity … engineers, promote reusability of AI components, and support the continuous improvement of AI engineering practices across the organisation. Skills we would love you to have: Experience in AI/ML engineering or applied machine learning. Proven experience delivering production-grade AI solutions. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using More ❯

and commercials, and are a crucial measurement tool for biomechanics, robotics, and cutting-edge science. Vicon is a subsidiary of Oxford Metrics Plc. We are looking for an excellent ML Ops Engineer to join our research and development team in Oxford, England. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in … building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, data management and ML model training infrastructure (SW and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS infrastructure. You will have opportunities to guide the technical direction of the ML Ops … systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many More ❯

Bloomsbury Square, London, United Kingdom Software Engineer - AI/ML/Python (Lead Level) at N Consulting Ltd Job Title: Software Engineer - AI/ML/Python (Lead Level) Location: London, United Kingdom (Hybrid - 2-3 days onsite per week) Contract Type: Contract (6 months, with extension likely) Start Date: Immediate/Within 2-4 weeks Job Description: We are … seeking an experienced and highly motivated Lead Software Engineer with deep expertise in Artificial Intelligence (AI) , Machine Learning (ML) , and Python development to lead the design, development, and deployment of intelligent systems and data-driven applications for a leading client in London. The ideal candidate will have a strong background in AI/ML frameworks, scalable system design … and Python-based development, along with leadership experience in agile teams. Key Responsibilities: Lead the architecture and development of AI/ML solutions, ensuring scalable and efficient design. Design and implement ML models and algorithms (classification, regression, NLP, etc.) using modern frameworks. Collaborate with data scientists, engineers, and product teams to transform prototypes into production-grade applications. Optimize model performance More ❯

Degree) or 7 (Postgraduate) Location: Hybrid (London-based) Job Purpose The AI Engineer Apprenticeship is an advanced, hands-on training programme designed for individuals passionate about artificial intelligence and machine learning. Whether you are a recent graduate or in your final year of studies, this role offers the opportunity to work alongside seasoned AI engineers, data scientists, and product … for training and evaluation. Support the design, development, and tuning of machine learning and deep learning models. Contribute to scalable and reusable data pipelines using modern ML workflows. Conduct experiments and benchmarking exercises to test model performance. Perform error analysis, feature importance, and other model diagnostics. Track and log training/testing outcomes to support reproducibility and … degree (completed or ongoing) in Computer Science, Data Science, Mathematics, Software Engineering, or a related STEM field. Eligibility to enroll in a Level 6 or Level 7 AI/ML/Data Science apprenticeship programme. Core Skills & Competencies Technical Skills Programming proficiency in Python and common ML libraries such as TensorFlow, PyTorch, or similar. Experience with Jupyter Notebooks and version More ❯

Job Overview: The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm architecture. We believe that innovative ML technology necessitates joint development across hardware, software, and ML algorithms. We will collaborate on what is the best way to … complex neural networks on ARM's computing platforms and devising algorithms that will elevate us to the forefront of future Responsibilities: Develop in depth understanding of current and future ML workload on ARM compute platforms with a focus on their PPA (performance, power, and area). Architecture exploration necessitates the joint development of hardware, software, and algorithms. This role serves … as the ML Algorithm experts within the exploration process. This includes algorithm innovation and prototyping to drive and validate architectural features. Develop hardware aware optimization algorithm that can make state-of-the art networks on Arm platforms including CPU/GPU/NPUs. Required Skills and Experience: 3+ years working in a ML Algorithm Development and/or Optimization environment More ❯

design practices. Deep understanding and experience of at least one server-side language. Expertise in cloud-native architectures. Expertise in data pipelines and event-driven architectures preferred. Expertise in machine learning and machine learning pipelines preferred. Expertise in workflow or actor frameworks preferred (e.g. Temporal, Akka) preferred. Solid foundation in secure coding practices. Solid understanding of More ❯

Knowledge & Semantics. The Ideal Research Scientist will have: Full eligibility for SC Clearance. A PHD in a relevant discipline with demonstrable industry/academia experience in an AI/ML role. Experience leading R&D teams. Experience in Python software development. Experience in at least one ML framework such as Tensorflow or Pytorch. A background in Aerospace, Defence or Public … Sector consulting. Experience in one or more of: Predictive Graph Machine Learning, Causal Machine Learning, Neuro-Symbolic AI, LLM, Modern NLP Models, Graph Structured Data. Research Scientist key details: Up to £70k salary Up to 10% performance bonus. 2 Days a week in Chelmsford office. Must be eligible for SC, or higher, clearance. If you would More ❯

Junior AI/ML Engineer – Agentic Systems & Knowledge Graphs 📍 North London (Hybrid) 💼 £40,000–£70,000 | 2-Year Contract (Outside IR35) | Opportunity to Go Permanent An industry-leading technology company is seeking a Junior AI/ML Engineer to support the development of cutting-edge AI systems, combining the latest advances in large language models (LLMs) , agentic AI , graph neural … pipeline technologies is a plus. 🌟 Bonus Skills Experience with model optimisation techniques for deployment (e.g. quantisation, pruning, distillation). Open-source contributions, research publications, or involvement in AI/ML competitions (e.g. Kaggle, NeurIPS, etc.). 🚀 Why This Role? A chance to work on state-of-the-art AI systems from day one. Generous contract (£40,000–£70,000) with … after two years. Exposure to impactful AI work in a highly technical, collaborative team . Hybrid working arrangement based in North London . Ready to accelerate your AI/ML career on real-world, production-ready systems? Apply now with your CV and GitHub/portfolio. More ❯

development and related design practices. Deep understanding and experience of at least one server-side language Expertise in cloud-native architectures. Expertise in event-driven architectures preferred. Expertise in machine learning and machine learning pipelines preferred. Solid foundation in secure coding practices. Solid understanding of client-side technology (CSS/HTML/JS) Experience with continuous More ❯

build, and scale AI solutions that set us apart in the industry. You'll bring deep technical expertise, a passion for innovation, and a strong product mindset to develop ML products that solve real-world problems and deliver measurable business value. Our ideal candidate is an experienced data science leader who thrives in a dynamic, fast-paced environment that combines … is Hybrid (2 days a week office attendance) What You'll Do: Shape the strategic direction and vision of Data Science across the organization by identifying transformative AI/ML opportunities and championing the team's evolving role in a rapidly advancing GenAI landscape. Lead the design and deployment of predictive and generative AI models that power personalization, pricing, search … and optimization in marketplace and fintech domains. Collaborate with product leaders to align ML initiatives with strategic business goals and drive product innovation through data-driven experimentation and modeling. Architect scalable ML infrastructure and automated workflows using cloud-native tools (e.g., AWS, EC2, Kubernetes) to support efficient model training, deployment, and analytics across diverse datasets. Ensure long-term performance and More ❯

Machine Learning Full Time The opportunity We are looking for a Member of Technical Staff who is skilled in computational biology and in machine learning. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. This is an opportunity to … in a fast-paced setting where goals must be achieved efficiently and urgently. What sets you apart You have experience in protein design and bioinformatics. You have worked on ML-driven projects in biology or conducted large scale bioinformatics analysis. You have a natural science background. You are academically trained in physics, biology, chemistry or other related fields. You have … committed to building a team that represents a variety of backgrounds, perspectives, and skills. To apply, please email us at . Make sure to include Member of Technical Staff, ML for Bio in the subject line so we can sort through emails efficiently. Please also indicate your location preference. Please attach your resume, CV, or other relevant materials to help More ❯

emerging AI trends and industry best practices to drive innovation and deliver cutting-edge solutions. Connect to your skills and professional experience Technical Proficiency: Strong understanding of AI concepts, machine learning algorithms, and deep learning architectures. Familiarity with various AI solution design patterns and best practices for different … business applications. Experience with data visualization tools and techniques to communicate insights and solution designs effectively. Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Basic understanding of programming languages like Python and R is beneficial. Education and Experience: Bachelor's or Master's, or equivalent degree in Computer Science, Data Science, Business Analytics … with a focus on AI and data-driven solutions. Deep experience in the financial services industry. Strong problem-solving, analytical, and communication skills. Relevant industry certifications (e.g., AWS Certified Machine Learning - Specialty, Azure AI Fundamentals or equivalent) are a plus. Connect to your business - Technology and Transformation Distinctive thinking, deep expertise, innovation, and collaborative working. That's what More ❯

Location : Chelmsford (hybrid 2 days a week) Salary: Up to to £70,000 + 10% bonus We are seeking a Senior Research Scientist to join our growing AI/ML innovation team focused on applying advanced machine learning and statistical signal processing to real-world sequential data challenges. You'll lead R&D projects across domains such as … defence, space, and autonomous systems, working alongside multi-disciplinary teams and academic partners to develop cutting-edge solutions. Key Responsibilities: Lead technical delivery of AI/ML research projects Mentor junior researchers and drive innovation Design and prototype inference algorithms and ML solutions Publish research and engage with academic partners What You'll Bring: PhD or equivalent experience in AI …/ML or signal processing Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn) Strong experience with time-series data, decision-making models, or sensor fusion A track record of innovation and delivering complex R&D Preferred Expertise: RF comms, radar, EW, sonar, or autonomous systems Pattern-of-life analytics or distributed sensing Human-machine teaming or space More ❯

Neurolabs is looking for a talented Senior Machine Learning Engineer to join our team. As an ML Engineer at Neurolabs, you will be responsible for developing, implementing, and optimizing Computer Vision models that empower our retail automation solutions. Your expertise will play a crucial role in transforming images into structured data and driving product enhancements that meet our … and platform engineers, to deliver integrated Computer Vision solutions. Performance Monitoring: Monitor live models and performance metrics, troubleshoot issues, and implement updates as necessary to ensure optimal performance. Continuous Learning: Stay updated with the latest research and advances in machine learning and computer vision. Drive innovation by applying new techniques and methods to our projects. Educational Background … learning. Professional Experience: 5+ years of hands-on experience deploying Computer Vision models in production environments. Strong proficiency in Python. Experience with cloud environments (AWS, GCP) and tools for ML model deployment (Docker, Kubernetes, etc.). Technical Skills: In-depth understanding of computer vision techniques, including image classification, detection, and segmentation. Familiarity with Large Vision Models is a big plus. More ❯

Spotify's Commerce Platform to build the next generation of our robust, high-performing, and resilient payments ecosystem. This is a unique opportunity to solve complex challenges, work with ML-powered systems, and contribute to the core of Spotify's revenue-generating systems. As part of Spotify's Commerce Platform, we in the Pay-In domain own the critical backend … journey. You will join one of the sub-teams in the Pay-In domain, which develops and maintains the systems that integrate with payment providers, manage disputes, and leverage ML for fraud detection and prevention. The reliability of these systems is business-critical for Spotify. What You'll Do Architect, design, and implement highly scalable backend services (Java/Python … and robust data pipelines that power Spotify's internal Commerce platform. Develop and enhance our ML-powered systems taking solutions from concept to production. Take the lead on API design, platform development, and ensuring the scalability, reliability, and performance of our services. Collaborate with a talented, cross-functional team of engineers, product managers, and data scientists to deliver impactful solutions. More ❯

technology consultancy is seeking a Research Scientist - Knowledge & Semantics to lead a small team of experts exploring cutting-edge AI solutions across knowledge representation, NLP, LLMs, and graph-based machine learning. The organisation plays a pivotal role in delivering advanced research for secure government and national security clients, often operating at the intersection of AI, autonomy, cyber, and complex … tier academic institutions and SMEs on mission-led innovation in data and decision support systems. Key Responsibilities Drive applied and novel research in knowledge representation, semantics, and graph-based ML Lead the delivery of technical reports, research proposals, and PoC demonstrators Mentor junior researchers and manage technical delivery across projects Present findings to both technical and non-technical audiences Engage … R&D teams (ideally 5+ people) Demonstrated success in writing and winning technical research proposals (especially within Defence or public sector R&D environments) Advanced skills in Python and ML frameworks (TensorFlow, PyTorch) Deep experience in one or more of the following: Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) NLP and information extraction (transformer-based models desirable) Semantic reasoning More ❯

at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're looking for an Engineering Manager to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. You'll drive game-changing initiatives that use cutting-edge computer … roles, you've supported a team of 5-10 individual contributors to operate at their highest potential. System expertise . You've built, maintained and monitored complex AI/ML models and systems in production at scale. Strong technical proficiency. You have extensive experience in several of the following areas: machine vision (classical and deep learning), multi-view … trade-offs across all levels of the organization and to cross-functional stakeholders. A proven track record . You know how to focus on products, delivering impactful AI/ML products through close collaboration with partners. Nice-to-Haves Sports industry experience . If you've used AI/ML in sports to generate data and/or create insights More ❯

Senior Machine Learning Scientist (Recommender Systems) - Viator London, England, United Kingdom About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that … innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Previous experience of working on industrial grade recommendation systems and ideally familiarity with offline evaluation techniques. Awareness of current ML techniques, keen … the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role can be on-site hybrid or a remote position in More ❯

Senior Machine Learning Scientist (Generative AI) - Viator London, UK About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that will last … instruction tuning. Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops. Understanding use cases for Agentic AI communicating your findings with the wider ML team and product. Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs. Collaborate cross-functionally with product, design, and engineering … data science experience with at least 2 years of experience with LLM Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a More ❯

ML Ops Engineer – Motion Capture Technology | Hybrid (Oxford, UK) An exciting opportunity has arisen for an ML Ops Engineer to join a world-leading technology company specialising in high-performance motion capture solutions for the entertainment, engineering, and life sciences industries. Their products are widely used in feature films, gaming, commercials, and cutting-edge research in biomechanics, robotics, and beyond. … that’s pushing the boundaries of motion capture technology, working in a company with a strong track record of innovation and global impact. The Role: You will join the ML Operations team, supporting the development of next-generation motion capture products. The role involves provisioning and maintaining a modern ML Ops stack, which includes data acquisition pipelines, data management systems … and ML model training infrastructure. This stack combines self-managed on-premises systems with cloud-based AWS resources. As an ML Ops Engineer, you’ll have the opportunity to influence technical direction, propose new solutions, and potentially lead projects within the team. The company offers a hybrid working model , with a head office in a major academic city. There is More ❯

back-end systems, scalable APIs, and infrastructure to support AI workloads , including LLMs and GPU-based services. You'll collaborate closely with cross-functional teams - including platform, infrastructure, and machine learning - to design, develop, and deliver high-quality software solutions. You'll help build tools and services that power model training, inference, and orchestration in production environments, while … developers and cross-functional teams. Preferred Skills (Nice to Have) Experience deploying or serving LLMs or other GPU workloads (e.g., using vLLM, KServe) Proficiency in Python , especially AI/ML libraries such as transformers, vLLM, or similar Experience tuning and scaling machine learning inference pipelines Salary Range Information Based on market data and other factors, the salary range … of work. Open communication, regular feedbac k: we value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and a growth mindset makes us better together. Learning Time : we all have dedicated learning time to focus on new skills, projects or interests that lay outside of your day-to-day job. Health & Wellbeing : we want More ❯

ML Ops Engineer - Motion Capture Technology | Hybrid (Oxford, UK) An exciting opportunity has arisen for an ML Ops Engineer to join a world-leading technology company specialising in high-performance motion capture solutions for the entertainment, engineering, and life sciences industries. Their products are widely used in feature films, gaming, commercials, and cutting-edge research in biomechanics, robotics, and beyond. … that's pushing the boundaries of motion capture technology, working in a company with a strong track record of innovation and global impact. The Role: You will join the ML Operations team, supporting the development of next-generation motion capture products. The role involves provisioning and maintaining a modern ML Ops stack, which includes data acquisition pipelines, data management systems … and ML model training infrastructure. This stack combines self-managed on-premises systems with cloud-based AWS resources. As an ML Ops Engineer, you'll have the opportunity to influence technical direction, propose new solutions, and potentially lead projects within the team. The company offers a hybrid working model , with a head office in a major academic city. There is More ❯

improve customer engagement. As a Principal AI Engineer, you will be part of the Technology Engineering team within CIO, leading the design, development, and deployment of advanced AI and machine learning solutions that drive innovation, efficiency, and strategic value across the organisation. You will collaborate closely with cross-functional teams, including Data Science, Engineering, Product, and Business stakeholders … exploration to model development, deployment, and monitoring - ensuring solutions are scalable, ethical, and aligned with enterprise goals. Skills we would love you to have: Extensive experience in AI/ML engineering, data science, or applied machine learning roles. Proven track record of delivering production-grade AI solutions in complex, data-rich environments. Proficiency in Python and key ML … code tools. Strong knowledge of data engineering principles, including data wrangling, feature engineering, and pipeline orchestration. Experience with version control (e.g.Git), CI/CD pipelines, and automated testing for ML code. What we offer Join us and you'll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues More ❯