51 to 75 of 1,214 Remote Machine Learning Jobs

role is remote first but travel will occasionally be required to the London office. In this role, you will be at the forefront of our data-driven initiatives, training machine learning and artificial intelligence models as well as leveraging advanced statistical techniques to uncover trends and patterns that inform our business strategy. Your insights will play a key … tools, and frameworks to keep our data analysis and modelling processes at the cutting edge. Your responsibilities Manage data science projects across the business Leverage advanced statistical techniques and machine learning/AI models to identify patterns and trends in data, providing insights to inform business strategy and decision-making. Develop predictive models to support decisions across multiple … business areas, including marketing, sales, claims, retention, customer behavior, fraud detection, and customer servicing. Deploy machine learning models into production using AWS services, including SageMaker, S3, Feature Store, ensuring scalable, reliable, and monitored solutions that directly support key business processes. Collaborate with product management and engineering teams to integrate data-driven insights and deploy predictive models into existing More ❯

Machine Learning Full Time The opportunity We are seeking a Computational Protein Design Scientist to join our team working at the interface of generative AI and synthetic biology. You will play a key role amongst a team of scientists designing and engineering proteins for specific functions. This is an opportunity to help shape and grow an organization that … challenges. Using your blend of computational expertise and in-depth biochemical understanding of proteins, you will generate insights to improve protein functionality and operate at the interface between our machine learning and experimental platform units, working closely to seamlessly integrate AI generations and lab validation data. Who we are At Latent Labs, we are building frontier models that … protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology. Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We're looking for innovators passionate about tackling complex challenges and More ❯

Tech Companies Talent Hero helps UK-based professionals land remote roles with innovative US businesses. We're hiring Machine Learning Engineers to build and deploy production-grade ML systems that solve real-world problems at scale. If you're experienced with model design, training, and deployment and want to work globally from home we want to hear from … you. What Youll Do: Build and deploy machine learning models to address complex business needs Develop scalable data pipelines and feedback loops for model training Integrate ML into production systems alongside US product and data teams Optimise model performance for accuracy, speed, and cost Run experiments, A/B tests, and validate approaches statistically Use tools like Python … in Computer Science, AI, Machine Learning, or related field 1+ year of experience in a Machine Learning Engineer or similar role Strong Python skills and ML framework knowledge (TensorFlow, PyTorch, etc.) Hands-on experience deploying models into production environments Solid grasp of algorithms, data structures, and statistical modelling Familiarity with cloud platforms (AWS, GCP, Azure) Bonus More ❯

Tech Companies Talent Hero helps UK-based professionals land remote roles with innovative US businesses. We're hiring Machine Learning Engineers to build and deploy production-grade ML systems that solve real-world problems at scale. If you're experienced with model design, training, and deployment and want to work globally from home we want to hear from … you. What Youll Do: Build and deploy machine learning models to address complex business needs Develop scalable data pipelines and feedback loops for model training Integrate ML into production systems alongside US product and data teams Optimise model performance for accuracy, speed, and cost Run experiments, A/B tests, and validate approaches statistically Use tools like Python … in Computer Science, AI, Machine Learning, or related field 1+ year of experience in a Machine Learning Engineer or similar role Strong Python skills and ML framework knowledge (TensorFlow, PyTorch, etc.) Hands-on experience deploying models into production environments Solid grasp of algorithms, data structures, and statistical modelling Familiarity with cloud platforms (AWS, GCP, Azure) Bonus More ❯

analyze continuous physiological signals from wearables. This is a high-impact role with the opportunity to shape the future of digital health and help bring clinically validated, regulatory-ready ML solutions to market. Location: Remote/Hybrid/[USA-SF, USA-remote, UK-London, UK-remote] Responsibilities: Design and implement machine learning models for real-time analysis of … 35+ years of experience applying machine learning to time-series or physiological data. Strong foundation in signal processing and time-series modeling (e.g., deep learning, classical ML, anomaly detection). Proficient in Python and ML frameworks such as PyTorch or TensorFlow. Familiarity with FDA regulatory pathways for medical software (e.g., 510(k), De Novo), and standards like … IEC 62304 or ISO 13485. Experience with MLOps practices and model versioning in compliant environments. Preferred Qualifications: Experience building ML models with wearable data (e.g., continuous heart rate, motion, respiration). Exposure to embedded AI or edge model deployment (e.g., TensorFlow Lite, Core ML, ONNX). Knowledge of healthcare data privacy and security (e.g., HIPAA, GDPR). Familiarity with GMLP More ❯

Job Overview: The mission of Central Technology - Machine Learning (CT-ML) is to create technology to enable all ML Compute on ARM. We believe that advancing innovative machine learning (ML) technology requires a collaborative approach across hardware, software, and algorithms. The CT-ML Algorithms team acts as the Center of Excellence for ML content analysis, algorithm … development, and tools, driving this unified effort forward. Develop in depth understanding of ML workload, develop algorithms and optimization techniques to drive PPA (Performance, Power, Area) on current and future Arm platforms. Implementation of performance critical machines specific kernel or ARM assembly codeon dedicated hardware accelerator and CPU to drive algorithm and architecture exploration Collaborate with ML Algorithm development team … to explore performance critical analysis Develop internal tooling capabilities to support algorithmic and architecture exploration Examples: Develop performance critical assembly code to accelerate ML operations done in low precision arithmetic Develop performance critical kernel to accelerate fusing of multiple ML operations on accelerators Explore different quantization schemes and assess performance PPA trade off We are looking for individuals who: 3+ More ❯

Senior Research Scientist (Data Science & ML) £60,000 - 70,000 GBP Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Data Science and Machine Learning Research Scientist Location: Chelmsford | Hybrid (2 days onsite) | Salary ~£70,000 + 10% bonus | SC Clearable A specialist technology consultancy is seeking a Data Science and Machine Learning Research … Scientist to develop novel AI/ML solutions for complex, real-world challenges in national security and defence. Working within a mission-led, multidisciplinary team, you'll help shape next-generation tools across areas such as multi-modal fusion, geospatial intelligence, and intelligent decision support. About the Opportunity You'll join a 35+ person AI & Machine Learning capability … impact use cases. Key Responsibilities Conduct applied research in data science and machine learning, with a focus on real-world decision-making applications Design, implement, and evaluate ML models for structured and unstructured data Contribute to R&D proposals, technical reports, and demonstrator systems Collaborate with domain experts, academic partners, and internal teams to deliver mission-relevant innovation More ❯

Sciences, Logistics, Chip Design, and Quantum ML. The Role: We seek a highly skilled Machine Learning Engineer with a passion for tackling the challenges of large-scale ML development. You'll play a vital role in making our ambitious AI solutions a practical reality. If you thrive on system-level analysis, find joy in squeezing every ounce of … you. Responsibilities Scaling Expertise: Design and implement strategies to efficiently scale machine learning models across diverse hardware platforms (GPU/TPU). Performance Optimisation: Analyse and profile ML systems under heavy load, pinpointing bottlenecks, and implementing targeted optimisations. Distributed Systems Architecture: Create robust distributed training and inference solutions for maximum computational efficiency. Algorithmic Optimisation: Research and understand the …/C++ Development with machine learning frameworks (JAX, Tensorflow, PyTorch etc.) Passion for profiling, identifying bottlenecks, and delivering efficient solutions. Highly Desirable Track record of successfully scaling ML models. Experience writing custom CUDA kernels or XLA operations. Understanding of GPU/TPU architectures and their implications for efficient ML systems. Fundamentals of modern Deep Learning Actively following More ❯

The world will be unrecognisable in 5 years. Machine learning models are driving our cars , testing our eyesight , detecting our cancer , giving sight to the blind , giving speech to the mute , and dictating what we consume, enjoy, and think . These AI systems are already an integral part of our lives and will shape our future as a … infinitely patient and leave no student behind. We'll augment our memories with foundation models -individually tailored to us through RLHF and connected directly to our thoughts via Brain-Machine Interfaces-blurring the lines between organic and machine intelligence and ushering in the next generation of human development. This future demands immense, globally accessible, uncensorable, computational power. Gensyn … AI conferences such as AAAI, ICML, IJCAI and NIPS, and collaborate with experts from universities and research institutes Engineering support- work with the engineering team on wider issues concerning ML (e.g. reproducible training) Follow best practices-build in the open with a keen focus on designing, testing, and documenting your code Write & engage -contribute to technical reports/papers describing More ❯

Social network you want to login/join with: Seldon was founded in 2014 with a simple yet ambitious mission: to accelerate the adoption of machine learning to solve the worlds most challenging problems. Were committed to responsible, trustworthy, and holistic AI development. Our vision is a future where artificial intelligence transforms how we live, work, and interact … tools and products. Assist enterprises in deploying machine learning models at scale across various use-cases and sectors. Advance the state of the art in MLOps, managing ML models throughout their lifecyclefrom deployment to testing and updates. Essential skills Degree or higher in a scientific or engineering field, or relevant experience. Experience designing complex systems from start to … observability. Contributions to open source projects. Experience deploying machine learning tools in production. Broad understanding of data science and machine learning. Knowledge of explainable AI or ML monitoring in production. Familiarity with Python tools for data science. High-profile projects Developing and maintaining a black box model explainability tool. Contributing to open source projects related to ML More ❯

Learning products. Work closely with Data Engineering, Platform and Architecture teams to improve and develop new products, integrations, tools and technologies. Work with data scientists to productionise various ML models, ensuring the code follows best practices; is effective, scalable and conforms to CTMs Engineering & Tech standards. Follow best practices for the management and interrogation of large scale structured and … . Enable the collection of new data and the refinement of existing data sources. Help manage day to day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated tech across various platforms. Coordinate and manage small to medium sized machine learning projects in small cross functional squads. What wed like to see from … you: Strong understanding of a wide range of ML algorithms. Understanding of MLOps practices for managing and monitoring models in production. Experience with deep learning frameworks (e.g. TensorFlow, PyTorch). Proficiency in programming languages such as Python, SQL and R. Knowledge of SQL and NoSQL databases for data storage and retrieval. Experience with LLM application design and deployment. Strong More ❯

Machine Learning Engineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) Machine … Learning Engineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in Machine Learning (ML) Engineering and in-depth expertise in operationalising models in Databricks, MLFlow and MLOps environments. A chance to work with a leading global IT and Digital transformation business on the delivery … with defined schedule, and that multiple models feeding oneanother take dependencies into account. Capturing data drift, concept drift, model performance degradation signals and ensuring model retrain. Defining/maintaining ML Frameworks (Python, R, Matlab templates), and looking for common reusable code that could be used by future models. Implementing CI/CD pipelines for ML models and automating deployment. More ❯

Machine Learning Engineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) Machine … Learning Engineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in Machine Learning (ML) Engineering and in-depth expertise in operationalising models in Databricks, MLFlow and MLOps environments. A chance to work with a leading global IT and Digital transformation business on the delivery … with defined schedule, and that multiple models feeding oneanother take dependencies into account. Capturing data drift, concept drift, model performance degradation signals and ensuring model retrain. Defining/maintaining ML Frameworks (Python, R, Matlab templates), and looking for common reusable code that could be used by future models. Implementing CI/CD pipelines for ML models and automating deployment. More ❯

edge machine learning capabilities. The Role You will join a collaborative Research and Development team based in Oxford, contributing to the development and maintenance of a modern ML operations stack. This includes data acquisition pipelines, data management, and machine learning model training infrastructure. The environment includes both self-managed on premise systems and cloud-based infrastructure … primarily using AWS. You will have the opportunity to influence the technical direction of the ML Ops team, propose new areas for development, and potentially lead your own projects. This is a hybrid role combining remote and on site working. There is no expectation to be available outside core business hours. Key Responsibilities Maintain and improve ML Ops infrastructure Manage … on premise Kubernetes clusters and ML pipelines Integrate ML toolkits into operational workflows Collaborate with ML developers to streamline workflows Suggest and implement technical improvements and new tools Required Skills and Experience Academic background (research Masters level) or industry experience in a relevant field Strong experience managing on premise Kubernetes clusters Deep knowledge of Kubeflow or similar systems such as More ❯

to switch and save money and that's why good things happen when you meerkat. As Head of Data - Data Science & MLE, you'll lead our advanced analytics and machine learning teams, shaping strategy, driving delivery, and building the next generation of intelligent products. From dynamic pricing to agentic AI and LLMs, this is a pivotal role in … learning engineers, and analytics professionals. Leadership track record in fast-paced, delivery-driven environments, with clear planning, prioritisation, and execution skills. Deep technical understanding of statistical modelling, ML methods, and experimentation design. Experience deploying machine learning in production, ideally in a modern cloud environment with MLOps tools and frameworks. Skilled in balancing hands-on credibility with … Strong communication and stakeholder management - comfortable engaging across technical, commercial, and executive layers. Nice to Have Experience in regulated industries such as insurance, banking, or financial services Familiarity with ML development platforms and tooling, including model registries, feature stores, and frameworks for generative AI (e.g. OpenAI, LangGraph, Vertex AI) Understanding of CI/CD pipelines for machine learning More ❯

Senior Research Scientist - Data Science & Machine Learning £70000 GBP 10 Bonus + Benefits Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Role: Senior Research Scientist - Data Science & Machine Learning Location: Chelmsford (Hybrid: 2 days onsite, 3 remote) Salary: £60,000 - £70,000 + 10% bonus Hours: Full-time, 37 hours/week Join … a world-class research and technology organisation that's redefining what's possible in AI, machine learning, and advanced data science. With a mission rooted in solving some of the most complex and high-stakes challenges in national security, defence, and critical infrastructure, this organisation offers a unique opportunity to apply your expertise where it truly matters. This … and/or patent novel research outcomes , contributing to academic journals, conferences, or intellectual property portfolios where appropriate. What You'll Bring: PhD or equivalent experience in Artificial Intelligence, Machine Learning, or statistical signal processing. Proficient in Python , with strong development skills and hands-on experience using machine learning libraries such as PyTorch and scikit-learn. More ❯

We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI, consisting of STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a … passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models … including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. What you'll be doing: Work on complex R&D projects, with a diverse group of engineers More ❯

We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI, consisting of STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a … passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models … including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. What you'll be doing: Work on complex R&D projects, with a diverse group of engineers More ❯

to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do … learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML … powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues More ❯

bugs and glitches in game streams. This is a unique opportunity to contribute to a global effort in making our QA processes more efficient and effective. As a Staff Machine Learning Engineer in Anomaly Detection, you will be the technical lead in a research team focused on advancing our anomaly detection technology, driving technical excellence and innovation. The … team will design, implement, and optimize advanced algorithms and machine learning models to detect anomalies in game streams. Your expertise will help shape the future of gaming by ensuring high-quality player experiences. What you'll be doing: Anomaly Detection Development: Design, develop, and implement novel anomaly detection algorithms to automatically identify bugs and glitches in game streams. … junior team members, fostering a culture of innovation and continuous learning. Communication: Present findings to stakeholders, effectively communicating complex technical concepts to both technical and non-technical audiences. Continuous Learning: Stay current with the latest research in anomaly detection, machine learning, and artificial intelligence, disseminating knowledge across the team. Prototyping: Quickly prototype new ideas and technologies to More ❯

Press Tab to Move to Skip to Content Link Job Title: Software Engineer - MLOps Job Band: C Contract Type: Permanent, Full-time Department: Machine Learning Enablement Team Location: Salford - Hybrid working with 1 day a week expected in office base location. Salary: £45,000 - £55,000 depending on relevant skills, knowledge and experience. The expected salary range for … and unique features that have firmly positioned us at the forefront of our industry. We don't merely adapt to an ever-changing world - we set the pace. The Machine Learning Enablement Team provides capabilities, tools, and advice to ensure best practices are followed and enables effective use of machine learning technologies that helps teams across … the business build, collaborate on, manage, and maintain their machine learning platforms. We are looking for a software engineer to work within the team to build/maintain machine learning infrastructure. Your Key Responsibilities And Impact Contribute to the design, development, and maintenance of tools supporting data science and MLOps workflows Implement software solutions in a More ❯

to solve complex business challenges End-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects Drive data-driven decision-making through advanced analytics and visualization techniques Ensure the security, scalability, and efficiency of AI solutions Research efforts … Science, Artificial Intelligence, or a related field Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects Proficiency in AI and machine learning frameworks and programming languages (e.g., Python) Strong expertise in data preprocessing, feature engineering, and model evaluation Excellent problem-solving and critical-thinking skills Effective leadership, communication, and … team management abilities A passion for staying at the forefront of AI and machine learning advancements Benefits Fast moving, challenging and unique business problems Attractive remuneration and performance incentives Strong learning and development plans for your career growth Great career development opportunities in a growing company International work environment and flat organization Competitive salary Seniority level Seniority More ❯

At Longshot Systems we're building advanced platforms for sports betting analytics and trading. We're hiring for Machine Learning Researchers within our fundamental modelling team. The primary goal of this team is to improve the predictive power of our models based on historical event data. The quality of our models is incredibly important to us and improvements … on our models directly impact company profitability. You will work closely with the CEO, CTO, and Team Lead to design, test, and implement new machine learning models in Python, continually improving our existing state-of-the-art solutions. Longshot is a small, focused company and so the role suits someone who wants to be involved in all aspects … have a high level of autonomy to research whichever methods you felt would be best suited to the problem at hand. A strong mathematical understanding of the fundamentals of Machine Learning and core statistics is very important for this role and ideally you'll have experience in doing research on cutting-edge models either in industry or academia. More ❯

a minimum of 1 day per week. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or … Applied Scientist in the Machine Learning Observability & Governance team, you will be instrumental in advancing Starling Bank's capabilities in safely and effectively exploiting AI and ML technologies. Your responsibilities will include: Pioneering Novel Methods: Lead the development and implementation of innovative research-driven methods to deepen our understanding of AI and ML model behaviour in a … externally (e.g., at conferences or through publications), to share advancements and foster a culture of continuous learning within the data practice. Collaborative Innovation: Work closely with data scientists, ML engineers, and other stakeholders to identify key challenges in ML observability and governance, and propose research-backed solutions. To succeed in this role, you should possess a strong academic foundation More ❯

The world will be unrecognisable in 5 years. Machine learning models are driving our cars , testing our eyesight , detecting our cancer , giving sight to the blind , giving speech to the mute , and dictating what we consume, enjoy, and think . These AI systems are already an integral part of our lives and will shape our future as a … are infinitely patient and leave no student behind. Well augment our memories with foundation models individually tailored to us through RLHF and connected directly to our thoughts via Brain-Machine Interfacesblurring the lines between organic and machine intelligence and ushering in the next generation of human development. This future demands immense, globally accessible, uncensorable, computational power. Gensyn is … the machine learning compute protocol that translates machine learning compute into an always-on commodity resourceoutside of centralised control and as ubiquitous as electricityaccelerating AI progress and ensuring that this revolutionary technology is accessible to all of humanity through a free market. Our Principles: AUTONOMY Dont ask for permission - we have a constraint culture , not a More ❯