226 to 250 of 421 Machine Learning Engineer Jobs

Overview JOB TITLE: Machine Learning & AI Engineer. SALARY : £71,000pa to £86,691pa plus an extensive benefits package. LOCATION: Bristol. HOURS: 35 hours, full time. WORKING PATTERN : Our work style is hybrid, which involves spending at least two days per week, or 40% of your time, at our Bristol hub. We're on an exciting journey to transform … to make our Group a great place for everyone, including you! Experience Optimisation is a product within the Personalised Experiences & Communications Platform. We are the team responsible for building Machine Learning (ML) AI models to define how we want to engage our customers with communications. We use a range of tried and tested techniques, as well as leveraging … advances in AI model development, to develop and deploy a wide range of ML models. We're looking for a strategic and technically minded Machine Learning & AI Engineer to join our team as we continue to advance the Group in this space. Want to hear more? You will use your knowledge of key software development best practices More ❯

Job Duties: Work on various machine learning challenges to build systems and machine learning models to improve the experience for both Pinners and creators on Pinterest at scale. Apply the latest advances in deep learning and machine learning to personalize Pinterest users experience. Develop new features to improve Pinterests user and pin understanding … in models. Impact 450M+ monthly active users by developing the next generation of discovery technologies. Work in a fast-paced machine learning environment with quick experimentation and product launches. Telecommuting is permitted. Minimum Requirements: PhD, or foreign equivalent, in Machine Learning, Operations Research or closely related quantitative discipline, OR Masters degree, or foreign equivalent, in Machine Learning, Operations Research, or closely related quantitative discipline, and three (3) years of experience in job offered or in any occupation in related field. Special Skill Requirements: (1) Deep Learning; (2) Machine Learning; (3) Data Science; (4) Probability and statistics; (5) PyTorch; (6) Algorithms; (7) Experiment Design; (8) Data Visualization; (9) Recommendation Systems; (10) Python More ❯

Alternate Job Titles: Staff Machine Learning Engineer Senior Machine Learning Software Engineer AI/ML Staff Engineer Staff Software Engineer - Machine Learning You Are: You are a highly skilled and experienced software engineer, passionate about the intersection of artificial intelligence, machine learning, and electronic design automation (EDA … unique insight into the needs of our customers, and you aspire to take on leadership roles, mentoring others and shaping the direction of innovative projects. Your commitment to continuous learning and your proactive approach to tackling new challenges make you an invaluable contributor to any high-performing engineering team. What You'll Be Doing: Designing, developing, and maintaining advanced … machine learning companion products for Synopsys's EDA solutions. Architecting and implementing robust, scalable software systems using Python and C/C++. Collaborating with cross-functional teams to integrate AI/ML capabilities into existing and new EDA tools. Optimizing large and complex codebases to ensure high performance, reliability, and maintainability. Developing and deploying distributed systems and leveraging More ❯

Position: Senior Machine Learning Engineer Work location: San Francisco, CA Wage: $194,834 - $234,900/per year Job Duties: Conduct research into fundamental computer and information science as theorists, designers, or inventors. Develop solutions to problems in the field of computer hardware and software. Oversee the design and development of advanced ML models and algorithms to … lifecycle of ML projects, from initial data analysis and model development to deployment and performance monitoring. Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and mutual support within the team. Emphasize and implement agile, hands-on approaches in project execution, ensuring flexibility and responsiveness to evolving business needs. Stay up to date of … the latest trends and techniques in Machine Learning, driving the continuous improvement of our ML practices and ensuring the team remains at the cutting edge of the field. Communicate complex technical concepts and project progress effectively to both technical and non-technical stakeholders, ensuring transparency and alignment. Implement robust testing and validation frameworks to ensure the accuracy, reliability More ❯

our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you're working to help others. Position Overview The Sr. Machine Learning Engineer, with minimal guidance from more experienced engineers, works independently and in collaboration with others on multiple projects which are complex in scope. This role applies … deep knowledge of advanced artificial intelligence and machine learning algorithms and models to solve problems involving biological, genomic, clinical and healthcare data within a setting of advanced cancer screening and precision oncology. This role is involved at every step of the solution development process, from ideation, design, implementation and deployment. This role strongly contributes to the strategic vision … bioinformatics, biostatistics and data engineering applications. Collaborate with other ML/AI engineers and relevant partners to design software solutions that utilize state-of-the art artificial intelligence and machine learning techniques. Work with other AI and ML engineers and software engineers to implement and deploy ML and AI solutions. Work in an Agile framework focused on iterative More ❯

the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with … data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines … the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing More ❯

the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with … data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines … the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing More ❯

the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with … data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines … the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing More ❯

the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with … data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines … the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing More ❯

the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with … data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines … the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing More ❯

Senior Machine Learning Engineer x2 days a week on UK client site, optional London HQ visits About the Company We’re partnering with a specialist AI and data consultancy that designs and deploys bespoke machine learning systems across sectors such as national security, defence, critical infrastructure, and digital public services. Their focus is on delivering … elite environment, ideal for someone who thrives on solving operational challenges, building robust MLOps infrastructure, and leading the delivery of AI systems at scale. The Role As a Senior Machine Learning Engineer, you’ll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. You’ll play a central role in designing … MLOps. You’ll work alongside data scientists, engineers, designers, and product stakeholders often embedded within mission-critical delivery environments. Key Responsibilities Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration More ❯

Senior Machine Learning Engineer x2 days a week on UK client site, optional London HQ visits About the Company We’re partnering with a specialist AI and data consultancy that designs and deploys bespoke machine learning systems across sectors such as national security, defence, critical infrastructure, and digital public services. Their focus is on delivering … elite environment, ideal for someone who thrives on solving operational challenges, building robust MLOps infrastructure, and leading the delivery of AI systems at scale. The Role As a Senior Machine Learning Engineer, you’ll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. You’ll play a central role in designing … MLOps. You’ll work alongside data scientists, engineers, designers, and product stakeholders often embedded within mission-critical delivery environments. Key Responsibilities Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration More ❯

Senior Machine Learning Engineer x2 days a week on UK client site, optional London HQ visits About the Company We’re partnering with a specialist AI and data consultancy that designs and deploys bespoke machine learning systems across sectors such as national security, defence, critical infrastructure, and digital public services. Their focus is on delivering … elite environment, ideal for someone who thrives on solving operational challenges, building robust MLOps infrastructure, and leading the delivery of AI systems at scale. The Role As a Senior Machine Learning Engineer, you’ll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. You’ll play a central role in designing … MLOps. You’ll work alongside data scientists, engineers, designers, and product stakeholders often embedded within mission-critical delivery environments. Key Responsibilities Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration More ❯

Senior Machine Learning Engineer x2 days a week on UK client site, optional London HQ visits About the Company We’re partnering with a specialist AI and data consultancy that designs and deploys bespoke machine learning systems across sectors such as national security, defence, critical infrastructure, and digital public services. Their focus is on delivering … elite environment, ideal for someone who thrives on solving operational challenges, building robust MLOps infrastructure, and leading the delivery of AI systems at scale. The Role As a Senior Machine Learning Engineer, you’ll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. You’ll play a central role in designing … MLOps. You’ll work alongside data scientists, engineers, designers, and product stakeholders often embedded within mission-critical delivery environments. Key Responsibilities Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration More ❯

Senior Machine Learning Engineer x2 days a week on UK client site, optional London HQ visits About the Company We’re partnering with a specialist AI and data consultancy that designs and deploys bespoke machine learning systems across sectors such as national security, defence, critical infrastructure, and digital public services. Their focus is on delivering … elite environment, ideal for someone who thrives on solving operational challenges, building robust MLOps infrastructure, and leading the delivery of AI systems at scale. The Role As a Senior Machine Learning Engineer, you’ll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. You’ll play a central role in designing … MLOps. You’ll work alongside data scientists, engineers, designers, and product stakeholders often embedded within mission-critical delivery environments. Key Responsibilities Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration More ❯

learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, LLMs and Deep Learning. Our Machine Learning Engineers are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, assisting the data scientists in designing and building models, and … to hear from you. Apply now and help shape the future of claims automation. Responsibilities Develop features for our state-of-the-art claims automation platform Build and deploy machine learning algorithms and models to production within product teams Provide technical guidance and input on the design and implementation of machine learning algorithms Support with customer … and product requirements and help translate these into technical solutions Execute and deliver full AI/ML solutions from sourcing training data, design and implementing state-of-the-art machine learning models, testing, benchmark and product-driven research for model performance improvement, to shipping stable, tested, performant code in an agile environment. Work closely with Product Managers to More ❯

Machine Learning/AI Research Engineer (Post-doc) This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect … to improve the efficiency, reliability, and sustainability of ocean energy systems and support the transition to a cleaner energy future. HPE is contributing its expertise in advanced control (reinforcement learning), forecasting, and digital twin technology to help drive the successful commercialization of this cutting-edge renewable energy solution. Start/End Date: October 2025 to September 2028 (3 Years … Mandatory Requirements: PhD degree (or Master's with equivalent research and innovation experience) What we are looking for: Hewlett Packard Labs is currently seeking a highly qualified, self-motivated machine learning/AI researcher to be part of a new and growing AI research team in Ireland, to accelerate research towards various applications of digital twins incorporating Machine More ❯

Machine Learning Engineer We are working in partnership with a leading technology organisation to recruit an experienced Machine Learning Engineer. The successful candidate will design, train, and optimise high-performance machine learning models, build and manage datasets for real-world sensing systems, and clearly communicate technical work to stakeholders. Based in North Somerset … you'll be part of a collaborative and forward-thinking environment that encourages rapid prototyping and experimentation. You’ll work within multidisciplinary teams to develop, validate and deploy machine learning models to meet challenging customer requirements. Key Responsibilities Develop and train neural network models using frameworks such as PyTorch and TensorFlow Select and adapt model architectures to meet … Engineering, Mathematics, or related field Strong development skills in Python and C/C++ Experience with neural network architectures including RNNs, transformers, and vector quantisation In-depth knowledge of machine learning architectures and training algorithms Experience in model training, quantisation, and conversion for inference Hands-on experience with data preparation, augmentation, and feature extraction Excellent communication and technical More ❯

Machine Learning Engineer – On-Device Health Monitoring Cambridge (1 day a week) Up to £80,000 + Equity + Benefits About the Role We’re working with a pioneering health-tech start-up that’s transforming the way we measure human health through sound. Their mission is to create the world’s leading foundation model for turning … sound into health insights — enabling preventative health monitoring through devices people already own. They’re now looking for a Machine Learning Engineer to build and optimise on-device ML models for health and biosignal monitoring, helping take their technology from proof of concept to a production-ready product. You’ll be at the forefront of developing models … a hands-on technical role that offers full exposure to the early-stage startup experience — from prototyping and experimentation to strategic product decisions. Key Responsibilities Develop, optimise, and deploy machine learning models for on-device health monitoring. Experiment with architectures and apply techniques such as quantisation, pruning, and compression to improve efficiency. Collaborate with cross-functional teams to More ❯

Machine Learning Engineer – On-Device Health Monitoring Cambridge (1 day a week) Up to £80,000 + Equity + Benefits About the Role We’re working with a pioneering health-tech start-up that’s transforming the way we measure human health through sound. Their mission is to create the world’s leading foundation model for turning … sound into health insights — enabling preventative health monitoring through devices people already own. They’re now looking for a Machine Learning Engineer to build and optimise on-device ML models for health and biosignal monitoring, helping take their technology from proof of concept to a production-ready product. You’ll be at the forefront of developing models … a hands-on technical role that offers full exposure to the early-stage startup experience — from prototyping and experimentation to strategic product decisions. Key Responsibilities Develop, optimise, and deploy machine learning models for on-device health monitoring. Experiment with architectures and apply techniques such as quantisation, pruning, and compression to improve efficiency. Collaborate with cross-functional teams to More ❯

Machine Learning Engineer - Remote (EU 4h) - Up to 75,000 Im partnered with a fast-growing conversational AI startup thats redefining how people interact with personal chatbots. Their mission? To create intelligent, intuitive digital companions that genuinely feel human. As they expand their engineering team, theyre looking for a Machine Learning Engineer whos passionate … genuine curiosity for AI innovation Why join? 100% remote (EU 4h) Work when youre most productive minimal meetings, maximum output Competitive salary + equity Inclusive, mission-led culture Annual learning stipend + clear growth path Regular team retreats & optional Mexico City office If youre excited by the idea of shaping the future of personal AI and want to work … creativity, autonomy, and impact this could be the one. Drop me a message if youd like to learn more Id love to share what makes this opportunity stand out. Machine Learning Engineer - Remote (EU 4h) - Up to More ❯

Machine Learning Engineer - Remote (EU ±4h) - Up to £75,000 I’m partnered with a fast-growing conversational AI startup that’s redefining how people interact with personal chatbots. Their mission? To create intelligent, intuitive digital companions that genuinely feel human. As they expand their engineering team, they’re looking for a Machine Learning Engineer … curiosity for AI innovation Why join? 💻 100% remote (EU ±4h) 🕒 Work when you’re most productive — minimal meetings, maximum output 💰 Competitive salary + equity 🌍 Inclusive, mission-led culture 📚 Annual learning stipend + clear growth path ✈️ Regular team retreats & optional Mexico City office If you’re excited by the idea of shaping the future of personal AI and want to … and impact — this could be the one. Drop me a message if you’d like to learn more — I’d love to share what makes this opportunity stand out. Machine Learning Engineer - Remote (EU ±4h) - Up to More ❯

eir evo talent are currently recruiting for a Machine Learning Engineer, based in Donegal. Machine Learning Ops Engineer with a strong background in Cloud Engineering, particularly within the AWS environment, with a focus on platform engineering. The ideal candidate will have a passion for developing robust machine learning platforms and ensuring the … seamless deployment and operation of ML models through efficient infrastructure and tooling. Responsibilities Responsibilities include developing robust machine learning platforms and ensuring the deployment and operation of ML models through efficient infrastructure and tooling. Qualifications Deployed AI/ML models into production in a primary role (must have). Experience with AWS SageMaker and Bedrock. First-hand experience … you regarding this or other relevant opportunities at eir evo talent and eir evo. Company Eir evo talent Educational level Senior (5+ years of experience) Tagged as Industry, Ireland, Machine Learning, NLP More ❯

the best investors in the business who have also backed the likes of Livongo, Hinge, Calm, MDLive, and others. What we're looking for We're looking for a Machine Learning/Data Engineer to lead the development of ML applications and data infrastructure that will accelerate our ability to gather actionable, high-impact insights from complex … healthcare data. We're looking for someone who is effective at all levels of the machine learning and data stack, with a track record of delivering applications from the ground up. You'll lead research, prototyping, and deployment of models that risk stratify patients, predict readmissions, surface timely interventions for our clinicians, and more. As one of our … model versioning What you bring to the team: 5+ years of ML engineering experience in a professional setting with a proven track record of owning the end-to-end machine learning lifecycle, including data ingestion, preprocessing, model training, deployment, and production monitoring 3+ years of experience with modern machine learning tools and libraries (scikit-learn, PyTorch More ❯

Senior Machine Learning Engineer Location: Cambridge (Hybrid) Salary: £60,000 – £70,000 + Share Options A growing AI company is developing intelligent imaging software that applies advanced machine learning to medical data, improving diagnostic accuracy and speed. As a Senior Machine Learning Engineer, you’ll design, train and deploy ML models for … Build and integrate AI pipelines within scalable production environments Collaborate with data, clinical and software teams to ensure robust, validated outputs Skills & Experience MSc/PhD in Computer Science, Machine Learning or related discipline 3+ years’ experience developing ML models, with a strong focus on medical imaging Proven track record using deep learning frameworks (PyTorch/TensorFlow More ❯