51 to 75 of 1,767 Machine Learning Jobs

Data Scientist, you will play a pivotal role in advancing their AI-driven solutions, leveraging your expertise in Python, Natural Language Processing (NLP), AWS, machine learning, and MLOps. Key Responsibilities: Develop and deploy advanced machine learning models to extract insights from complex healthcare data. Utilise NLP … techniques to analyse unstructured healthcare data and extract meaningful information. Collaborate with cross-functional teams to integrate machine learning solutions into their products and services. Design and implement MLOps processes to ensure scalability, reliability, and performance of machine learning systems. Optimise model performance and accuracy through … continuous experimentation and iteration. Stay updated on the latest advancements in machine learning and AI technologies, and incorporate relevant techniques into their solutions. Requirements: Master's degree or PhD in Computer Science, Engineering, Statistics, or a related field. Extensive experience (5+ years) as a Data Scientist, with a more »

Company Overview Our Shipamax Data Science team seeks a highly skilled and motivated Senior Machine Learning Engineer with 5+ years' of experience. This team sits within Wisetech’s Digital Document portfolio and develops AI-based software to extract information from documents, structuring critical logistics data that powers the … of experienced data scientists and engineers passionate about solving complex real-world problems in a friendly and stimulating atmosphere. Job Overview As a Senior Machine Learning Engineer, you will bring research into practice, developing new and improving existing machine learning models, expanding our existing product offerings. … data extraction software that meets and exceeds customer expectations. Responsible for the quality and ongoing evaluation of our data sets on new and existing ML models in pre-launch and in production. Responsible for complex projects and coaching/supporting more junior team members. Requirements MSc in Computer Science, other more »

landscape of work in the future! Job Description: We are seeking a talented Machine Learning leader to elevate the maturity of our ML Solution. As the Machine Learning Lead, you will play a pivotal role in maximizing the value delivered by our ML engineering team through … strategic decision-making and mentorship. Your responsibilities will include guiding architectural decisions, enhancing ML operations, shaping product strategy, and laying a robust foundation for scaling our machine learning capabilities. Additionally, you'll be tasked with effectively communicating technical concepts to non-technical stakeholders. Qualifications: Proficient in machine learning with a focus on NLP Demonstrated experience leading Data Science and ML projects from research to operational deployment Adept at problem-solving with a customer-centric approach Entrepreneurial mindset with a passion for developing ethical AI solutions Excellent communication skills, capable of simplifying complex technical concepts Experience more »

Machine Learning Engineer at Cerberus Capital Management As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment … analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. Cerberus Capital Management (CCM) is a private equity firm with partial or full … closely together with clients to identify business opportunities and create new business value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos more »

years of experience testing, and launching software products, and 3 years of experience with software design and architecture.Typically have 5 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning, or natural language processing.Preferred qualifications:Master’s degree or PhD in Engineering … and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.The Core Machine Learning (ML) Organization drives ML excellence for Google. The Core ML organization is responsible for creating a cohesive, well lit path for machine learning at … Google. The organization is also responsible for developing ML infrastructure and execution around key ML efforts within Google.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more more »

from sub-second latency functions to longer-running batch computer and higher-demand dedicated instances. Their models are a mixture of well-known classical ML systems and highly bespoke deep learning models. They run on AWS and soon Azure, with plans to also add GCP and on-prem. They … Temporal; AWS Athena SQL, Athena & EMR Spark, ECS Fargate; Azure Synapse/Data Lake Analytics, HDInsight. KEY RESPONSIBILITIES Lead the productionisation of Monolith’s ML models and data processing pipelines, both mid-low-level system and design and exemplary hands-on implementations using Spark and other tech stacks Shape the … ML engineering culture and practices around model & data versioning, scalability, model benchmarking, ML-specific branching & release strategy Concisely break down complex high-level ML requirements into smaller deliverables (epic à task) Proactively identify blockers across the team, help promptly and effectively to unblock them Bring seniority and pragmatism to every more »

business at the forefront of cutting-edge technology are seeking a talented Staff Machine Learning Engineer to join one of their pioneering ML teams. In this role, you will have the opportunity to work on one of a kind projects that shape the future of the business, impacting … company continues to grow. This role is an opportunity for a Staff Machine Learning Engineer who is passionate about harnessing AI and ML to drive innovation and solve complex problems. You will shape the design of the AI systems (classical ML & LLMs) on AWS and AWS Sagemaker and … technical solutions. Utilize AWS services to design and implement robust machine learning pipelines. Research and implement state-of-the-art AI/ML algorithms to drive innovation and improve product capabilities. Mentor and coach junior team members, fostering a culture of continuous learning and growth. Demonstrate technical more »

Senior NLP Machine Learning Engineer London office x1-2 days per week £80,000 to £95,000 Salary + Bonus & Benefits OVERVIEW A great opportunity for a Senior Machine Learning Engineer/Senior NLP Engineer with solid experience in fine-tuning Large Language Models to join … a strong FinTech scale-up with a high-calibre team in place. Your responsibilities as a Senior Machine Learning Engineer will include but not be limited to: Leverage Machine Learning/NLP techniques to build Large Language Models. Fine-tune Large Language models and optimise them … an AI led culture throughout the business YOUR SKILLS & EXPERIENCE Degree in a STEM subject Min. 4 years commercial experience in NLP/Transformers & ML Excellent experience with Deep Learning models Strong production ready coding skills in Python Strong experience in fine-tuning Large Language Models End-to-end more »

Machine Learning Engineer £80-130k + benefits + stock options European Remote You'll be diving into large language models and conversational AI, ensuring the AI Asisstant's interactions are as natural and … effective as possible. You will develop and scale solutions that require large resources with high quality and low-latency SLAs. Why Join? AI/ML driven business Innovation is core to business success LLM/NLP space, hot topic Forge your career path, opportunity to follow leadership or senior IC … across Europe Create and improve innovative products Responsibilities: Develop and optimize conversational AI models, focusing on large language models (LLMs). Implement an advanced ML/LLM Ops workflow that concentrates on creating streamlined models for edge computing and improving software engineering productivity. Spearhead initiatives aimed at improving the performance more »

hereYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical … ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.The Machine … us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty more »

The OpportunityReporting into the Head of AI Platforms, the ML/Gen AI Lead will manage all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production for the enterprise AI platforms.The RoleCollaborate with project teams to ensure that ML/Gen AI solutions … augmentation pipelines.Train models and tuning their hyperparameters, analyzing the errors of the model and designing strategies for continuous improvement pipeline.Develop machine learning (ML) or Gen AI models with knowledge of commercial and open source LLMs.Work with big data and perform statistical analysis of data.Implement deep learning frameworks … ExperienceMinimum Bachelor's degree or equivalent required.4+years of experience in machine learning and artificial intelligence, with a focus on developing and implementing ML and AI solutions.Understanding of machine learning and artificial intelligence algorithms, techniques, and best practices.Proficiency in at least one programming language (e.g., Python, R more »

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 »

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 »

City of London, London80000 - 100000 per annum + Plus Bonus and benefitsMachine Learning Engineer - MedTech - London - Hybrid Do you want to develop AI that prevents critical diseases as Machine Learning Engineer?You can make a real difference in healthcare! A Machine Learning Engineer is needed … growing team at a leading MedTech firm. The company specialises in AI-powered predictive analysis, developing groundbreaking tools to prevent critical diseases. In this Machine Learning Engineer role, you will:Build and deploy AI models to predict and prevent critical diseasesCollaborate with engineers and scientists to develop cutting … art deep learning techniquesBe an integral part of a growing team (20 to 40 people in 12 months!)Tech skills needed for this ML engineering role:Deep Neural Networks (DNN)Generative Adversarial NetworksDeep LearningDefine, evaluate and assess AI systems performanceExplore and implement state-of-the-art algorithms to keep more »

Redline has a fantastic opportunity for a Contract Software Engineer - Machine Learning based in Cambridgeshire to work with an award-winning company who design and manufacture ultra-high frequency electronics. As our client is considered exempt for IR35 purposes, the successful candidate will be responsible for assessing IR35 … dynamic Software Team and be solely responsible for a key part of their project as they embark on the journey of modelling and automating machine learning algorithms, allowing them to remain as the best solution in the market for their customers. Key skills required - Contract Software Engineer - Machine Learning based in Cambridgeshire: - Experience with Machine Learning Algorithms - Experience with Python for scripting For more information or to apply for the Contract Software Engineer - Machine Learning in Cambridgeshire, please contact Jack Kelly -/01582 878812/07961158780 quoting reference JWK1017. more »

Machine Learning Engineer - Remote - 775 Outside IR35 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/… 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 »

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 »

and Microsoft Turing. You will work as part of an organization that brings together talent in the areas of large language models, recommender systems, machine learning, deep learning, graph learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that … Statistics, or related areas. Candidates with master’s degree with industry experience or publication record in the areas of Large Language Models, Information Retrieval, Machine Learning, or Natural Language Processing are considered as well.Proficient years managing research or engineering teams in Machine Learning, Natural Language Processing … shipping applied research to productionExcellent problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms, especially at scaleStrong people leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team 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 »