46 to 70 of 1,502 Machine Learning Jobs

and Artificial Intelligence Products. You will lead a team of Machine Learning Engineers and Data Scientists that are continually experimenting with new ML/AI techniques and supporting the many Machine Learning models that are already key to Bazaarvoice’s business. You will work closely with … leadership and other teams to ensure the availability of our services, provide a stable and efficient platform, and enable other teams to strategically incorporate ML into their Products. You’re an excellent leader, communicator, innovative and self-motivated, with a positive approach to teamwork. You have a passion for people … years of Engineering Leadership delivering products at scale Hands-on experience with Machine Learning frameworks and algorithms Proven track-record of leading ML-enabled products from idea to delivering value in production Bachelor's Degree in Computer Science or equivalent Experience developing products on Public cloud Hosting platforms more »

Machine Learning Engineer - Hybrid - £120K One of our clients who are a leading technology company are seeking a Machine Learning Engineer. Offering remote working, must be located in the UK. You will have the opportunity to build machine learning models and algorithms to power … services. As well as tackle challenges relating to uses recommendation, matching, content discovery and categorisation. Skills You will have worked as a Machine Learning Engineer or similar. Experience of developing and deploying state-of-the-art recommendation algorithms using Python and relevant libraries (e.g., TensorFlow/PyTorch/… with AWS and technologies such as Docker, Kubernetes, EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc. Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud AI. Support and drive implementation of features around NLP and LLMs. Tackle more »

Description The Leidos Innovations Center (LInC) operates at the leading edge of technology by designing, demonstrating, and deploying Machine Learning (ML) approaches to solve complex remote sensing problems for our Department of Defense customers. We are currently seeking a Senior Machine Learning Research Scientist to work … or individual contributor performing hands-on design, development and deployment of machine learning for remote sensing applications Keeping up with the latest ML research to integrate cutting edge technology Creating new project ideas and technical briefs to support business development What's in it for you? A challenging … fast-paced work environment applying state-of-the-art ML techniques to solve real world problems with unique data sets The ability to contribute to critical elements across entire program life cycles (proposal writing, technical planning/execution, creating and presenting technical reports and briefings) Professional and technical development opportunities more »

delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About The Team Our voice and edge machine learning team at Roku works on embedded machine learning models for new products. The team covers a range of skillsets from … embedded firmware development and machine learning to quality assurance and data engineering. We build, deploy, and maintain embedded machine learning models to enhance the user experience across our hardware products. We frequently work on new product launches to deliver cutting edge new features such as handsfree … pro. What you’ll be doing We are looking for a senior software engineer with extensive experience in embedded software for voice and edge machine learning applications. This is a senior role with a high-level of visibility and you must have a proven track record of developing more »

creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, bandits, causal inference, optimization, ranking and recommendation. What You’ll Do? Within the Sharechat AI team, we are looking for … an experienced Staff ML engineer to lead the ML efforts around improving personalization models, leading efforts across 10+ MLEs and decision scientists working on feed ranking and candidate generation systems that power Sharechat’s recommender systems. In this role you will help us further improve our recommendation systems, and act … as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress at a rapid pace. Who are you? Design and help develop systems that serve more »

our R & D track by owning the evolution of our leading real time machine learning audio algorithms. If you are an experienced ML/AI Researcher with a strong academic background and prior experience using a variety of ML models on music, speech, or audio data give us … will include: Conducting research on deep learning applied to audio, going beyond the state of the art Evaluating and stress-testing AI/ML models to ensure they are real-world ready and suitable for production Optimising and shrinking ML models to enable them to operate with minimal memory … needs and low processor overhead in embedded environments Working with ML engineers to build exceptional real time audio deep learning algorithms Covering all aspects of modern ML workloads, including model research, implementation, training, evaluation, inference Communicating results internally with colleagues from different teams, and externally Writing internal reports and more »

Role Overview: As a Senior Machine Learning Engineer, you will play a crucial role in the development and deployment of AI models to enhance creativity processes for our users. From curating data to training and validating models, you will have end-to-end ownership of your work. You … collaborate closely with cross-functional teams, share your expertise on AI, and participate in strategic decisions concerning our tech stack. Responsibilities: Develop and deploy machine learning models tailored to user needs. Own the entire process from data preprocessing to model deployment (MLOps). Collaborate with cross-functional teams … expertise on AI with the team. Work closely with users to understand their needs and improve product features. Requirements: 5+ years of experience in machine learning, ideally in an early-stage startup environment. Proven experience in training and deploying machine learning models for products. Familiarity with more »

Working Pattern - Hybrid 2days per week in the Vitality London Office.Full time, 37.5 hours per week. Top 3 skills needed: Delivery of high-impact machine learning projects Stakeholder management and collaboration Identification of new project opportunities What this role is all about: At Vitality, data scientists develop and … deploy machine learning models that help us realise our core purpose and achieve our ongoing business objectives. Our data scientists work on innovative applications of machine learning techniques spanning the entire value chain of our business. They work with rich datasets, and on project use cases … of more peripheral technologies (such as NLP, reinforcement learning and computer vision). Having a good grounding in the principles and technologies of ML engineering. Setting yourself apart through the breadth of your knowledge and your ability to apply it to solve the problems faced by Vitality. Proactively creating more »

technology is capable of assessing skin conditions, recommending over-the-counter skincare and providing follow-up/monitoring support. About the Role As a Machine Learning Engineer y ou’ll work alongside a team of machine learning researchers and engineers as well as our dermatological team. … our existing technologies, including computer vision models and recommendation systems. Key Responsibilities Define, evaluate and assess AI systems performance Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines Explore and implement state-of-the-art algorithms to keep our product on the cutting edge … Minimum Qualifications Bachelor's degree in a technical field such as computer science or years of equivalent experience Research or engineering experience in deep learning with one or more of the following: generative models, segmentation, object detection, classification, model optimisations Experience working with machine learning frameworks such more »

Xpertise is seeking two talented Machine Learning Engineers to join an esteemed team in Birmingham. As part of our client's growing engineering division, you will play a pivotal role in designing, implementing, and optimising machine learning models and data pipelines. With a strong emphasis on … Location: Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift … with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for more »

Xpertise is seeking two talented Machine Learning Engineers to join an esteemed team in Newcastle. As part of our client's growing engineering division, you will play a pivotal role in designing, implementing, and optimising machine learning models and data pipelines. With a strong emphasis on … or Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift … with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for more »

Machine Learning Engineer This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this company, you'll not only be part of a creative and open work culture focused on innovation and excellence but also have the … of Machine Learning Engineer will include: Develop and deploy machine learning algorithms using Python, addressing complex sports analytics problems. Integrate ML systems into existing infrastructure, leveraging cloud services, Docker and Kubernetes. Maintain and improve ML models, employing frameworks like PyTorch and TensorFlow. Follow Agile methodologies, ensuring … include: A minimum of two years industry experience in machine and deep learning development. Familiarity with cloud computing, data pipelines, and distributed ML technologies. Strong programming skills in Python, and experience with ML frameworks. Knowledge in Agile methodologies, CI/CD tools (e.g., GitHub Actions, Jenkins). Please more »

Machine Learning Infrastructure Engineer Perm London office 4 days per week Can offer sponsorship and relocation Up to £200K A YC-based start-up building the next-generation of helpful and honest AI is looking for a Machine Learning Infrastructure Engineer to join their founding team. … looking for people with skills directly linked to creating and managing high-performance computing (HPC) clusters across GPU/TPU chips + serving large machine learning models at scale. Not 1-10 GPU's but 1000's. You will also set up the hardware/infrastructure/the … and steering their evolving inference and training stack working with researchers, founders and advisors to develop the next generation of high availability LLM’s. ML engineering experience: Experienced in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch. Proficient in efficient serving of large machine more »

knowledge in the world. In fact, we're probably one of the largest already. Our platforms can be viewed here: www.beamazed.media We need a machine learning engineer to work in our growing, dynamic team. We are building internal products to help our team perform, execute and excel at … inform and shape our future content pipeline. We are looking for an entrepreneurial mindset to optimise our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video … job. You should aspire to lead and own a media company one day as this position holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s more »

experienced Machine Learning Engineer to work an exciting project, utilising the latest technologies. You will work closely with data scientists to take ML models from research to production while upholding engineering best practices. Responsibilities: Experience working with Data Scientists to understand ML models and translate them into robust … scalable production code using Python and tools like TensorFlow. Build and maintain ML pipeline architecture for activities including data ingestion, model training/retraining, evaluation, and deployment. Leverage cloud platforms (GCP) to create ML workflow orchestration and integrate with production systems, Vertex AI. Monitor and maintain ML systems in production … implement improvements. Define software engineering standards for building, documenting, testing and deploying machine learning code. Stay up-to-date with advancements in ML ops and DevOps for machine learning systems. Requirements: 3+ years’ experience building and deploying machine learning systems. Expert in Python. Knowledge more »

Senior ML Engineer Engineer - £80-110k ***Python, C++, Machine Learning, LLM, HPC, GPU, CUDA*** Location: Hybrid/London Sector: AI Products & Solutions Please note - sponsorship is not available for this role. This is a leading AI product and solutions company who operate globally and work at the … and designing the systems for today as well as what the business needs over the next 6-12 months using cutting edge technology across ML & engineering. Your skills: You would have a mix of engineering and machine learning experience - across ML models and frameworks. You would have experience … in scaling ML models, with a focus on performance, speed and optimisation. You would have experience working on HPC, GPU's and/or CUDA kernels across distributed systems. Ideally you have experience across Python, C/C++. Please send your CV to find out more. I look forward to more »

Machine Learning Engineer – Remote As a Machine Learning Engineer do you want to work with a leading provider of customer engagement solutions? As a Machine Learning Engineer you will have the opportunity to join a high-growth organisation providing customised software solutions that accelerates … and simplifies the journey of digital transformation. Your role: As a Machine Learning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python. You will be leading the development of AI projects taking ownership and driving innovation of development tasks. We … Python Strong NLP experience – NumPy, Pandas Commercial hands-on experience with Hugging Face and finetuning LLMs Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark more »

Machine Learning Researcher We are partnered with a multi-billion hedge fund, with an active hiring mandate for ML Researchers. This opportunity involves architecting state-of-the-art ML solutions, generating novel algorithmic architecture and applying the latest deep learning techniques to quantitative trade research. Joining a … translating your ideas and coded models into trades. Responsibilities: Have access to large data sets and industry-leading computing tools to apply and build ML models from the ground up, utilizing new and established techniques and methods like neural networks, reinforcement learning, deep learning, and natural language processing. … field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit-learn or other standard ML and deep learning libraries Familiar with commonly used machine learning algorithms and experience in using at least one deep learning framework. more »

Director Of Machine Learning-AI Accelerator Opportunity to Join a global semiconducting organization that is an Artificial Intelligence chip manufacture that creates AI hardware and software platforms for edge computing is looking for a Director of Machine Learning to work fully remote within Europe, the United … Kingdom and Switzerland. Responsibilities Lead and grow the R&D team in the development of innovative machine-learning models and algorithms. Collaborate with cross-functional teams to align R&D activities with business objectives. Drive the strategy and vision for AI research and development within the company. What … s in it for you Remote Working Options Promotion Guaranteed prospects. Competitive Salary Packages Requirements :- PHD in Computer Science, Machine Learning or Artificial Intelligence 5+ Years experience in Machine Learning 3 years of leadership Experience Familiar with various AI Frameworks Strong Leadership and team management Skills more »

and professional, you will be responsible for understanding the business and developing models to meet the business needs. The role will involve working with ML Engineers and Software Engineers to enable efficient algorithm deployment and management of the ML lifecycle. We are looking for someone who has a passion for … business problems can be solved with machine learning · Data Sourcing, Cleaning and Exploration · Analyse and visualize data at different stages of the ML lifecycle · Capable of developing custom models and algorithms · Work with multiple datasets and generate synthetic data · Develop data annotation strategies · Communicate with stakeholders across the … tools Qualifications and experience · Bachelor's or Master's degree in a Computer Science, Data Science, Mathematics, or a related subject · Excellent knowledge of ML model development and the ML Lifecycle Essential skills · Problem-solving · Programming - Python · Statistics · Data science · Data Analytics · Data visualization · Knowledge of common ML Tools and more »

Senior Machine Learning Engineer – Remote As a Senior Machine Learning Engineer do you want to work with a leading provider of customer engagement solutions? As a Senior Machine Learning Engineer you will have the opportunity to join a high-growth organisation providing customised software … solutions that accelerates and simplifies the journey of digital transformation. Your role: As a Senior Machine Learning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python. You will be leading the development of AI projects taking ownership and driving innovation … Strong NLP experience – NumPy, Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data more »

Senior Machine Learning Engineer Currently looking for a Senior Machine Learning Engineer to join a leading, online UK fashion/retail brand on a contract basis! Incredibly comfortable working with Python. Work in cross-functional teams combining data science, data engineering, BI, machine learning … management. Implement and deploy machine learning models at scale. Understanding of NLP Experience with LLM (Large Language Models) Previous experience product-ionising ML models x2 Stage interview process. Rate :: £800/day (Outside) Length :: 6 Months Location :: UK (Must be based in the UK) Start Date :: ASAP more »

Senior Machine Learning Engineer £90,000 - £120,000 in Central London – 2 days a week FinTech La Fosse is currently working with a fast-growing FinTech business which has become an industry leader within the funding and embedded finance industry, who are looking for a talented Senior Machine … listed below: project management skills, with a proven track record of delivering projects on time and within scope. fundamentals in programming, statistics, mathematics, and ML algorithms (neural networks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML …/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practices with a modern ML/Data/Cloud engineering technical stack If you’re interested in this role and feel you fit some of the requirements, apply through the advert to find out more »

R&D data . You will become part of an interdisciplinary Bioinformatics team, working at the heart of research and development creating an active learning system, in which model predictions guide lab experiments, lab automation generates high-throughput data for model training , and predictive models are updated as new … field. What you'll do You will work closely with our R&D scientists in fields of software engineering , lab automation, computational modelling and machine learning , with access to biologics R&D data across AstraZeneca constantly generating new data to both build and inform predictive models . This … . Collaborate with web application developers to integrate the Genedata Biologics system with custom applications for experiment design and data analysis . Collaborate with machine learning colleagues to develop an active learning system that continually trains machine learning models on data from biologics experiments and more »

and analyse datasets to extract meaningful insights and features for model development. Design, implement and maintain industry-standard MLOps infrastructure for new and existing ML products Optimize and standardize ML training and validation processes, data warehousing and pipelines. Education: Master's or Ph.D. in Computer Science, Machine Learning … Data Science, or a related field. Professional Experience: The position will be tailored to the level of experience; practical industry experience deploying and maintaining ML systems in production would be viewed very positively. Technical Requirements: Required: Strong foundation in machine learning algorithms, statistics, and data structures within relevant … Experience deploying MLOps solutions and working within CI/CD frameworks Experience with Linux systems and cloud infrastructure (AWS, Azure, etc.) Experience developing embedded ML applications (C++, CUDA, TensorRT) Language Skills: Good level of English, spoken and written Personal Skills: Capability to integrate in and work within a trans-European more »