126 to 150 of 1,560 Machine Learning Jobs

will build Edge-computing and IoT applications for processing vision data and communication layers for the compute-constrained edge devices. You'll be deploying Machine Learning models to production and optimising the platform runtime performance, this is mainly in C++ with parts running on GPU. There's a … Patterns You have advanced level C++ skills (they're using C++20) including multithreading You have also have strong Python skills and experience of integrating Machine Learning models (using PyTorch) It would be advantageous to have experience with Edge/IoT computing You're keen to work in s more »

towards achieving technical expertise and career opportunities. Conduct technical mock interviews with the interns Support the Skills City team in timetabling and monitoring student learning progress Administering LMS tasks such as scheduling sessions, managing attendance and uploading session recordings, registering participants and creating/editing instructor resources Evaluate and … provide feedback to all learners’ activities and submissions promptly. Working closely with the learning strategy team to preserve a consistent program experience for all learners through a defined curriculum, milestones, and interactions Providing content and class feedback to the learning strategy team led by Quality Assurance Manager to … in a similar role Full-Stack Software Development experience (Python, JavaScript, OOP, HTML/CSS, React.js, SQL) and Azure Cloud Strong foundational knowledge of Machine Learning and Artificial Intelligence Expertise in leveraging AI tools for Software Development Ability to self-learn new skills and keep tech skills updated more »

Responsibilities/Principal Accountabilities: Develop and integrate software solutions using Python, focusing on advanced GIS functionalities and AI applications such as computer vision and machine learning. Leverage ESRI APIs to employ advanced spatial data manipulation and visualisation techniques, supporting LabX’s strategic objectives. Implement and customise GeoAI techniques, using … models (and others) and frameworks like TensorFlow and PyTorch, to analyse geospatial data from imagery, video, point clouds, and text. Design, implement, and optimise machine learning models for urban planning applications, applying libraries such as Shapely, Rasterio, and others for intricate geospatial analysis. Engage in the strategic growth more »

of structured and unstructured data, including the integration of data through AWS and Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered an advantage. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in the design and more »

re interested in this position, apply now! Keywords: Claims, Insurance, Financial Services, Analytics, Business Intelligence, BI, Stats, Qlik, Power BI, SQL, Data, Data Science, Machine Learning, London Markets, Lloyd’s of London, General Insurance more »

Experience with other data analytics tools and platforms (e.g., Tableau, Qlik). Knowledge of Python or R for data analysis and scripting. Familiarity with machine learning concepts and tools. How to Apply: If you are a skilled Power BI and Analytics Specialist looking to make a significant impact more »

YOU: PhD-level qualification (or equivalent industry experience) in a field with a substantial component of applied AI methods High level of knowledge of machine learning methods, applications & validation methods. High level of knowledge of NLP techniques, including experience applying Large Language Models for text processing. Proficient in … in the NHS) Experience working in a collaborative version control workflow (e.g., Git, Bitbucket) Knowledge of SQL (especially postgreSQL) YOU ARE: Committed to continuous learning and development - both for yourself and your whole team. You encourage an environment of constant learning. Effective Communicator. You communicate eloquently and succinctly. You more »

as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Strong programming skills in languages such as Python, R, or C++. Proficiency with statistical and machine learning techniques. Experience with data analysis and quantitative modeling in financial markets. Familiarity with futures markets and intraday trading strategies is highly desirable. more »

capabilities and intuitive interface, Emarsys empowers marketers to create personalized and impactful campaigns that resonate with their target audience. Imagine harnessing the power of machine learning to predict customer behavior, optimize marketing strategies, and deliver tailored experiences at scale. Emarsys is a secret weapon that unlocks the true … and Revenue. Implement a data-backed approach to prioritizing Wildly Important Goals (WIGs). Own, optimize, and implement an enablement tech stack, including Seismic Learning (Lessonly), Confluence, Outreach, Salesforce. Ideal Candidate Proven experience in owning a global revenue enablement strategy. Strong business acumen with an understanding of relevant metrics. … your job profile closely aligns with our essential requirements and business need, we encourage you to apply. We are dedicated to assessing your competencies, learning agility and passion and not your age, disability, familial status, sexual orientation, gender, race, ethnicity, religion or nationality. more »

development space. YOU MUST Strong back end development experience with NodeJs Experience with Javascript technologies MUST Have experience within Fintech Have strong AI/ML development experience for financial services applications If you have rewritten trading platform programming then that is something that would be of interest to the client more »

Large Language Models. -High level programming skills in languages such as Java, C/C++, R & Python. -Knowledge and experience of SOA NLP APIs & ML/Deep Learning frameworks. -Experience translating user requirements into workflow designs/specifications. -Skilled in constructing and refining data processing pipelines including workflow management … NoSQL). -Experience with cloud native technologies such as Docker & Kubernetes. -Knowledge of cloud environments (AWS preferred). Preferred requirements: -Experience with AI/ML applied to the Life Sciences. -Understanding of data management techniques for large-scale scientific data sets. -Experience with graph databases. more »

ATAC-seq analysis, DNA methylation age clocks, data from in vitro models, and ageing biology. Experience working in HPC or cloud environments, familiarity with ML tools and packages, and working with databases (preferred MongoDB). Ability to communicate complex topics to non-bioinformaticians. Excellent attention to detail, the ability to … on experience. Benefit from our salary sacrifice pension scheme, life cover, sickness benefit, and Cyclescheme. Thrive in our startup environment where professional growth, continuous learning, and making a significant impact on our mission await you. We value diversity, teamwork, and excellence. Experience a supportive workplace that fosters innovation and more »

optimisation. Experience in managing technical teams, including conducting one-on-one meetings, performance evaluations, and supporting career development and mentoring. Preferred Skills: Knowledge of ML accelerator technologies (GPU, NPU) and their ecosystems. Experience in video compression techniques. Familiarity with deploying ML models on resource-constrained devices. more »

Lead Machine Learning Engineer Our client is looking for an experienced ML/AI engineer to lead their delivery of effective ML/AI- driven solutions and processes, and to help shape their ML/AI strategy. They are looking for a Computer Vision expert to develop and … Stickee Technology Role: Lead Machine Learning Engineer Location: Fully Remote (UK) Salary: Up to £100,000 per annum In your role as ML/AI Lead, your duties will include: Reviewing their backlog of ML/AI-candidate projects and building, developing, and managing a team around you … to work with you on delivery. Key requirements: Design, build, deliver, and maintain end-to-end ML/AI solutions that enhance, organise, and enrich their data, cost-effectively, accurately, and scalably Plan and manage their ML/AI delivery pipeline Mentor and coach team members on ML engineering best 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 »

may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment … to have expertise of Advanced Analytics techniques that are traditionally applied to structured data, as well as deep understanding of Natural Language Processing and Machine Learning techniques for unstructured content, so as to enable composition of holistic cognitive solutions. Is expected to be well versed in one of … an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow more »

ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best practices - test driven development, CI/CD, etc. Desirable: experience and interest in machine learning, data engineering, and data visualization Cultural Fit: Represent the firm in a professional manner and uphold its values and culture in all more »

Azure Data Factory. Implement and optimize data solutions using Kubernetes for container orchestration. Collaborate with data scientists and analysts to integrate advanced analytics and machine learning models into data workflows. Ensure data security, compliance, and quality standards are met. Provide support and expertise in data-related projects and more »

maintain the design component library. Key Requirements: Minimum 5 years of product design experience with B2B and B2C exposure. Experience in using AI/ML algorithms to analyze large datasets and make design decisions and product features Strong portfolio demonstrating end-to-end product design projects. Experience in conceptual and more »

per annum + Bonus Location: Hybrid (London) Are you ready to join an energetic team of Data Scientists dedicated to creating impactful, commercially viable machine-learning models within the healthcare sector? ABOUT THE ROLE: As a key member of our team: You will collaborate closely to develop and more »

Data Science and Data Engineering needs to fulfil data & analytics solutions Architecture experience in the cloud (Azure Storage, Databricks, Delta Lake, Lakehouse, Azure AI, ML Ops) It would be great if you also have Appreciation of Data Security and governance Exposure of working with matrix teams of multiple vendors and more »

volumes of data with a focus on high performance and low latency. The firm is at the forefront of technology and blends AI/ML seamlessly into their product. I'm looking for Java engineers to join the firm as they look continue their growth. Requirements: Proficient in Java Strong more »

idea generation and chance to directly influence PnL. Your Role: Devise and upkeep automated futures - and broader market - forecasting strategies Implement advanced statistical and machine learning techniques to search for alpha signals Exposure to entire research cycle - from data gathering and idea generation to signal implementation, back-testing … with holding periods intraday and shorter. Technically strong and Python proficient Advanced competence in statistical modelling (Bayesian, stochastic, time series etc.) and/or machine learning. Pre-Application: Please do not apply if you're looking for a contract or remote work. You must be eligible to live and more »

transformative discoveries. As a Machine Learning Engineer, you will be an integral part of the Machine Learning team, taking the ML models and bringing them into production, working as part of a cross-functional division. They are looking for someone with solid knowledge of ML models … for computer vision and an understanding of modern ML frameworks to deploy these models into the production environment. Requirements 2/3+ years as a Machine Learning Engineer within real-world data environment, working as an end-to-end ML engineer. Solid knowledge of ML models for computer … vision, and an understanding of modern ML frameworks to deploy these models into the production environment. Experience of Python programming, ML frameworks such as PyTorch. Expertise with cloud infrastructure (GCP, AWS or Azure) If you’re interested in this role, please apply through the advert to find out more! Machine more »

At least three years of practical experience in industry, government, or consulting, applying data-driven approaches to various business scenarios, including advanced analytics or machine learning algorithms. - **Technical Skills:** Strong Python skills and understanding of data science and machine learning concepts and algorithms such as clustering … Join them?** - **Impactful Work:** Contribute to meaningful projects that address critical public policy issues. - **Professional Growth:** We support career progression and are committed to learning and personal development through in-house training programs, access to our communities of practice, and online learning resources. - **Supportive Environment:** Enjoy a supportive more »