51 to 75 of 868 Permanent Machine Learning Jobs

in the field of computer hardware and software. Define, design and develop algorithms and software in projects, which involve research and software development in Machine Learning. Quantitative analytics for use in a variety of areas related to advertising technology but not limited to applications such as user modeling and … content analysis. Conduct data analysis to gain a deep understanding of raw source data and derived data. Building out data sets and models using Machine Learning techniques for testing and production. Software development and architecture design in highly scalable and distributed computing environment for product ionization at scale … of Machine Learning algorithms and models for use in advertising technology. Conduct original research in the fields of Machine Learning, statistical modeling, and optimization. Lead projects and collaboration with team and organizational stakeholders and contributors and bring research to production. Presentation, visualization, and documentation of the more »

in the field of computer hardware and software. Define, design and develop algorithms and software in projects, which involve research and software development in Machine Learning. Quantitative analytics for use in a variety of areas related to advertising technology but not limited to applications such as user modeling and … content analysis. Conduct data analysis to gain a deep understanding of raw source data and derived data. Building out data sets and models using Machine Learning techniques for testing and production. Software development and architecture design in highly scalable and distributed computing environment for product ionization at scale … of Machine Learning algorithms and models for use in advertising technology. Conduct original research in the fields of Machine Learning, statistical modeling, and optimization. Lead projects and collaboration with team and organizational stakeholders and contributors and bring research to production. Presentation, visualization, and documentation of the more »

in the field of computer hardware and software. Define, design and develop algorithms and software in projects, which involve research and software development in Machine Learning. Quantitative analytics for use in a variety of areas related to advertising technology but not limited to applications such as user modeling and … content analysis. Conduct data analysis to gain a deep understanding of raw source data and derived data. Building out data sets and models using Machine Learning techniques for testing and production. Software development and architecture design in highly scalable and distributed computing environment for product ionization at scale … of Machine Learning algorithms and models for use in advertising technology. Conduct original research in the fields of Machine Learning, statistical modeling, and optimization. Lead projects and collaboration with team and organizational stakeholders and contributors and bring research to production. Presentation, visualization, and documentation of the more »

in the field of computer hardware and software. Define, design and develop algorithms and software in projects, which involve research and software development in Machine Learning. Quantitative analytics for use in a variety of areas related to advertising technology but not limited to applications such as user modeling and … content analysis. Conduct data analysis to gain a deep understanding of raw source data and derived data. Building out data sets and models using Machine Learning techniques for testing and production. Software development and architecture design in highly scalable and distributed computing environment for product ionization at scale … of Machine Learning algorithms and models for use in advertising technology. Conduct original research in the fields of Machine Learning, statistical modeling, and optimization. Lead projects and collaboration with team and organizational stakeholders and contributors and bring research to production. Presentation, visualization, and documentation of the more »

in the field of computer hardware and software. Define, design and develop algorithms and software in projects, which involve research and software development in Machine Learning. Quantitative analytics for use in a variety of areas related to advertising technology but not limited to applications such as user modeling and … content analysis. Conduct data analysis to gain a deep understanding of raw source data and derived data. Building out data sets and models using Machine Learning techniques for testing and production. Software development and architecture design in highly scalable and distributed computing environment for product ionization at scale … of Machine Learning algorithms and models for use in advertising technology. Conduct original research in the fields of Machine Learning, statistical modeling, and optimization. Lead projects and collaboration with team and organizational stakeholders and contributors and bring research to production. Presentation, visualization, and documentation of the more »

in the field of computer hardware and software. Define, design and develop algorithms and software in projects, which involve research and software development in Machine Learning. Quantitative analytics for use in a variety of areas related to advertising technology but not limited to applications such as user modeling and … content analysis. Conduct data analysis to gain a deep understanding of raw source data and derived data. Building out data sets and models using Machine Learning techniques for testing and production. Software development and architecture design in highly scalable and distributed computing environment for product ionization at scale … of Machine Learning algorithms and models for use in advertising technology. Conduct original research in the fields of Machine Learning, statistical modeling, and optimization. Lead projects and collaboration with team and organizational stakeholders and contributors and bring research to production. Presentation, visualization, and documentation of the more »

in the field of computer hardware and software. Define, design and develop algorithms and software in projects, which involve research and software development in Machine Learning. Quantitative analytics for use in a variety of areas related to advertising technology but not limited to applications such as user modeling and … content analysis. Conduct data analysis to gain a deep understanding of raw source data and derived data. Building out data sets and models using Machine Learning techniques for testing and production. Software development and architecture design in highly scalable and distributed computing environment for product ionization at scale … of Machine Learning algorithms and models for use in advertising technology. Conduct original research in the fields of Machine Learning, statistical modeling, and optimization. Lead projects and collaboration with team and organizational stakeholders and contributors and bring research to production. Presentation, visualization, and documentation of the more »

Job Description SC Cleared Azure Machine Learning Engineer - Contract - Inside IR35 - London - 6 months TrinIT Talent are looking for an Azure Machine Learning Engineer to come on board for a 6 month contract based in London 2 days a week and 3 days remote. This role … falls Inside Scope of IR35 and is paying £550 per day. Job Description:- Our client are looking for an experienced Azure Machine Learning Engineer with current and valid SC Clearance to work closely with a team of Data Scientists in order to create POC's and use … skills and team collaboration IAC - Infrastructure as a code CI/CD pipelines Deployment of LLM's in Azure Python programming Data pipelines for ML If you feel you have the right experience for this role, please get in touch by sending your CV in Word format to (see below more »

partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work … exciting projects working on Large Language Models. Key skills/experience required: A degree in STEM subject 2+ years industry experience Solid experience building ML models Industry experience focused on using NLP techniques to train models Experience developing ML solutions to Cloud (AWS ideally) Excellent grasp of Python/SQL … Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of more »

Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps, and Azure Functions Run experiments and monitor performance of machine learning solutions using tools such as Azure ML Experimentation, Azure … ML Studio, and Azure Application Insights Define high-value business scenarios that can benefit from generative AI and LLM solutions. Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure Cognitive Services Qualifications Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, R, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative AI and LLM frameworks and more »

Job Overview: The candidate will be joining a team who are experienced data scientists, but with less experience in Microsoft Azure tools (e.g. Microsoft Machine Learning and Azure AI). They should help with the upskilling of the team in these tools as well as being part of … a team delivering pilot use cases in Azure. Responsibilities Include: Experience in working with Microsoft Azure technologies for machine learning and AI, including good knowledge of cloud architecture and networking for Azure-specific solutions. · Experience in Infrastructure as Code deployments · Experience in data pipelines for machine learning … work well with cross-functional collaborators and stakeholders. · Focus on continuous learning. · Assist with Azure pilot projects, leveraging strong experience in Azure and delivering ML pipelines and using Azure Machine Learning Studio. · Develop and implement ML models, pipelines, CI/CD processes, and work with technologies such as more »

Machine Learning Engineer - Crypto Compliance Python, ML frameworks, Docker, Kubernetes, Git Remote First Up to £90k Seeking a Machine Learning Engineer with experience in compliance to design, create, and implement advanced machine learning models and algorithms. You'll select and utilise the right technologies … maintaining existing machine learning codebases. Requirements : 5+ years of experience working in machine learning and AI MSc in Comp Sci, ML, AI or a related field. Proficiency in Python, TensorFlow, PyTorch, Keras, Pandas, NumPy, Docker, Kubernetes and Git Experience with big data technologies Knowledge of cloud more »

practices including Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more. Help our customers to remove the constraints that … Kinesis/Kafka/Spark/Storm implementations Experience with analytic solutions applied to the Marketing or Risk needs of enterprises Basic understanding of machine learning fundamentals Ability to take Machine Learning models and implement them as part of data pipeline IT platform implementation experience Experience … environments Proficiency with at least one the languages such as C++, Java, Scala or Python Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras Experience building large-scale machine-learning infrastructure more »

Machine Learning Engineer III page is loaded Machine Learning Engineer III Apply locations The Adelphi, London, GB time type Full time posted on Posted 23 Days Ago job requisition id R-15358 Cond Nast is a global media company producing the highest quality content with a … and defect resolution Design and implement scalable systems to convert large volumes of data into useful model features, reports, and datasets Deliver and orchestrate machine learning infrastructure within production environments Collaborate with Engineers and Scientists to architect and implement a shared vision Participate in the entire software development … or Ph.D. preferred) in Computer Science or a related discipline or relevant professional experience Years of software development experience designing scalable systems related to machine learning or more general statistical analysis Strong software development skills with proficiency in Python or C++ Experience with analytics frameworks such as Pandas more »

You 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 … us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing more »

Role Overview Join us as a Principal Machine Learning Engineer, leading the charge in merging cloud infrastructure, DevOps, and machine learning to automate and deploy advanced computational processes. This crucial role focuses on crafting sophisticated machine-learning models for diverse industries, driving our technological … evolution. Key Responsibilities - Architect Machine Learning Pipelines: Design and implement robust pipelines for complex data workflows, ensuring scalability, efficiency, and seamless data flow from ingestion to deployment in collaboration with Software team. - Ensure Data Integrity : Conduct data audits, cleanse data, and strategize on acquiring quality data to power … tools like MLFlow, BentoML, and Evidently AI. - Awareness of AI ethics, privacy considerations, and a commitment to continuous learning in the rapidly evolving ML/AI field. Employee Benefits At Intelmatix, our benefits package is designed to meet the diverse needs of our employees, reflecting our dedication to their more »

component of BlackRock s strategy for expanding into Alts. Our remit covers both building out the foundational platforms and services we need to do ML at scale and building the models we need to derive investment insight from unstructured data. We are looking for people who are interested in working … on the full ML technology stack, in one of the fastest-growing groups at BlackRock. About the role: Build foundational infrastructure services for applied ML at BlackRock. Write and deliver code to production standards Work with cutting edge opensource technologies Build and/or deploy production standard ML models to … solve real world financial problems Build/run in-house developed and third party ML models in production Deep learning research (Graph Neural Networks) Natural language processing (Semantic search, Generative LLMs) Datapoint extraction Develop novel methods to facilitate financial research from unstructured data. We are a research engineering group more »

We're looking for a Lead Machine Learning Engineer join our Data Engineering team. As the Lead ML Ops Engineer, you will be at the forefront of innovation, leading a small team of skilled engineers to develop and deploy scalable machine learning models. As part of … your role, you will be responsible for developing, maintaining, and expanding platform(s) that enable data scientists to deploy their machine learning models with ease. What will you do as a Lead Machine Learning Engineer at N Brown? Lead a team of engineers to create, maintain … equally convey business needs effectively to technical audiences. Knowledge in working with at least one cloud platform AWS (SageMaker), GCP (Vertex AI), Azure (Azure ML). A growth mindset - Ability to assess the value Machine Learning brings to the business. An excellent understanding of object-oriented programming (in more »

Job Title: Machine Learning (ML) Engineer Location: Hybrid (with travel to Manchester and London) Employment Type: Permanent Salary: Up to £65,000 per annum plus equity About the Company: Our client is an innovative AI startup operating in the Insurtech sector, focusing on the smart contract parametric insurance … landscape. Recently funded and on the path to rapid, scalable growth, they are looking for a talented ML Engineer to join their team and contribute to their journey. Role Overview: As an ML Engineer, you will play a critical role in developing and implementing machine learning models to … and optimise data pipelines Implement data governance and data management best practices Work with AWS tools, including Glue and SageMaker, to build and scale ML solutions Ensure the scalability and performance of machine learning solutions Participate in code reviews and contribute to the improvement of the development processes more »

Senior Machine Learning Engineer - London - Exciting Health-Tech Start-Up Permanent Fun Social Team Share options Are you a Machine Learning Engineer/Software Engineer looking for an exciting and challenging position? Here s your chance to be a part of a fast-growing health-tech … experiencing super high growth at the moment, and have grown from 3K users to 100k users in 14 months - over 3000% growth As a Machine Learning Engineer on their talented engineering team, you'd be working cross-functionally with other teams to build the company's product. This … is a fantastic opportunity for a mid-senior Machine Learning Engineer to work closely with the founders and CTO to make an impact and shape the future of the company. You'd be looking to out perform their other competitors and work with some of the best minds more »

Senior Machine Learning Engineer - London - Exciting Health-Tech Start-Up Permanent + Fun Social Team + Share options Are you a Machine Learning Engineer/Software Engineer looking for an exciting and challenging position? Heres your chance to be a part of a fast-growing health … experiencing super high growth at the moment, and have grown from 3K users to 100k users in 14 months - over 3000% growth! As a Machine Learning Engineer on their talented engineering team, you'd be working cross-functionally with other teams to build the company's product. This … is a fantastic opportunity for a mid-senior Machine Learning Engineer to work closely with the founders and CTO to make an impact and shape the future of the company. You'd be looking to out perform their other competitors and work with some of the best minds more »

in our blog posts here: Blog - Causaly We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon. About the role: The ML Engineer will be a key addition to Causaly s AI organisation. You will work alongside an interdisciplinary team of experts to build scalable and robust … solutions to highly complex NLP problems that drive business impact. You will develop and implement cutting-edge machine learning algorithms to help us extract valuable insights from large biomedical datasets. Please note we are unable to sponsor visas for this position. Responsibilities: Lead the development and optimization of …/PhD in computer science, machine learning or equivalent Strong analytical and proven problem-solving skills Demonstrable industry experience delivering AI/ML frameworks for a product Expertise in working with ML frameworks such as PyTorch, Tensorflow, scikit-learn, Langchain Experience with DL architectures such as transformers/ more »

AI/Python/Data scientist/Machine Learning Engineer/Neural Networks/Deep Learning/LLMs Role: Lead Data Scientist Location: Remote - Occasional Meetings in London (Client) Company: AI Analytics Start-Up Salary: up to £130,000 Bonus Projects: Neural Networks, NLP, Machine Learning, Deep Learning Responsibilities Analyse raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to … bring analytical prototypes to production Generate actionable insights for business improvements Lead a small team of data scientist on Neural Networks LLMs (CNN & RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep Learning more »

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically improve their … take the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning engineer to join our team. If all of this sounds exciting to you, we would love to talk (even if you don … and especially in scaling such solutions to real-world settings Degree (Master's/Doctorate) in computer science, software engineering or equivalent Experience scaling ML models, both in compute and data storage Federated learning experience is a bonus 1+ year of experience in a data-driven role, with exposure more »

causaLens is the pioneer of Causal AI a giant leap in machine intelligence. We are on a mission to build truly intelligent machines, machines that truly understand cause and effect it s hard but super fun! If you want to build the future and are looking for a place … homepage and watch the Why Causal AI video to learn more. The Role We are seeking a talented individual with a unique blend of Machine Learning Engineering and Data Science experience to join our team in a role focused on optimizing the path to production for Data Scientists. … engineering, and product to align technical solutions with business objectives and user needs. This role offers a unique opportunity to leverage expertise in both machine learning engineering and data science to drive transformative changes in empowering data scientists with advanced capabilities in causal AI. If you are passionate more »