1 to 25 of 1,343 Permanent Machine Learning Jobs

Are you passionate about using AI and machine learning to make a real-world impact within the world of Financial Crime? Do you thrive on solving complex problems and uncovering hidden patterns in data? Join this forward thinking Fintech, help them protect our customers from financial crimes, starting … Machine Learning algorithms and models. Monitoring with BI Tools: Use Business Intelligence tools to monitor key product metrics and the performance of ML models.Key Tasks: Fraud Detection: Access existing systems, evaluate vendor models, and create a roadmap for system improvements aimed at fraud prevention. Pattern and Irregularity Analysis … Work closely with other departments to enhance overall security and fraud detection.Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency 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 »

ResponsibilitiesLeading an organization comprised of applied scientists and engineers from prototyping across development and integration of advanced systems relying heavily on Computer Vision and Machine Learning technologies.Owning the development of system requirements, and collaborating with respective teams to mature and integrate technologies necessary to create product architectures that … research organization through technical leadership.Demonstrated experience in recruiting and managing technical teams, including performance management.Experience in managing teams productizing Computer Vision or AI/Machine Learning technologies from conception to end.Leadership and interpersonal communication experience in working across many disciplines, driving best practices, and mentoring team members.Technical experience … in leading teams/projects in one or more of the technical domains of machine perception (i.e., machine vision, deep learning, sensors and robotics).Start preparingLearn about how to prepare for your interview with our interview guide, tips, and interactive experiences.Visit interview prepLocationsWarning noticeYour browser doesn't more »

role within data science in e-commerce, logistics, or a related industryDemonstrated success in building and leading high-performing data science teams.Strong proficiency in machine learning, statistical analysis, and data visualization.Expertise in programming languages such as Python or R.Excellent communication and stakeholder management skills. more »

Be the technical SME for the application of Data Analytics Experience required: Experience using SQL & 1 other programming language (R/Python) Experience using ML algorithms is preferred Proven experience scoping and delivering complex analytical projects Data visualization/regression/data storytelling AMRT1_UKTJ ... more »

a fast-paced, high-performance, highly collaborative environment and demonstrate an ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science.Responsibilities:Consult with global 1000 customers to help them understand, structure, and implement … related technical field of study. Master’s or MBA degree preferred. Prior sales consulting or management consulting experience.Experience with and understanding of AI and Machine Learning is highly favorable. Work experience in consulting, defense, intelligence, manufacturing, healthcare, financial services, telecommunications, or energy is a plus.Exemplary written and oral more »

but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good command of Python, SQL, SAS or similar coding languages more »

in both Pre & Post sales. The team you’d lead are made up of PhD level Engineers who most work in Python to deploy Machine Learning Models. (They also work with Scala & react.js) This team will double over next 12 months. Mid term career progression could see you … lead relationships with commercial stakeholders up to C-Level, distilling the complex into simple business language Knowledge to provide thought leadership in the Cloud & Machine Learning space Although this will be still a fairly heavy hands on element to this role initially, as the team grows and responsibility more »

closely with several research and product teams to bring compelling new experiences to the market. A lot of these experiences will be powered by machine learning and as part of this team, you will have the unique opportunity to work on almost every aspect of a shipping a … or C++) or a record of publishing at top-tier conferences or journals (ICLR, ACL, ICML, CVPR, ICCV, ECCV, NeurIPS, TPAMI, etc.) Experience with ML frameworks like Pytorch or Tensorflow Experience with ML inference frameworks such as ONNX Runtime or CoreML Additional or Preferred Qualifications: Experience with distributed training libraries … models. Collaborate with engineering and product development teams. Contribute to a real-time system involving multiple components. Assist in identifying and addressing issues in ML frameworks and associated hardware. Mentor junior engineers and contribute to team knowledge-sharing sessions. LI-DNI more »

team to understand the requirements and specifications of software projects- Design, implement, and maintain high-quality, scalable, and robust python code and libraries- Apply machine learning techniques and algorithms to solve complex problems and generate insights from large and diverse datasets.- Troubleshoot, debug, and optimise the performance and … software engineer, preferably in the biotech or healthcare industry- Proficiency in broader Python ecosystem Django, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc.- Experience in machine learning, data science, and data visualization, using tools such as Jupyter, matplotlib, seaborn, plotly, etc.- Knowledge of web development, RESTful APIs, cloud computing more »

ensuring accuracy, performance, and scalability. Data Analysis: Perform complex data analysis to extract insights and identify trends in cyber risk, utilizing various statistical and machine learning techniques. Operationalization: Translate model insights into actionable strategies and tools for internal and external stakeholders. Collaboration: Work closely with underwriters, engineers, and … Education: Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred. Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python and SQL. Experience with big data technologies and tools such as Databricks more »

Experience in at least one cloud platform (preferably GCP).BSc/MSc in computer science, maths, physics or STEM subject.Basic knowledge of statistics and machine learning.Experience with Spark, Apache services, ETL tools, Data visualization and dashboards.Experience with streamed data processing, parallel compute, and/or event based architectures.Experience with more »

skills and expertise in software architecture. Team Leadership: Build and mentor a high-performing technology team, fostering a culture of collaboration, innovation, and continuous learning and improvement. Vendor Management: Manage relationships with third-party product and service providers, ensuring seamless integration and successful delivery of services. Ensure that we … that our data is stored and accessible in a manner that meets our needs and services future opportunities in relation to the application of ML and broader AI. #J-18808-Ljbffr more »

We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We … you'll doTackling real world security problems that affect our customers, building & leveraging massive threat intelligence data, with the help of data science and machine learning, and finally building scalable & performant distributed software that runs on thousands of machines all over the globe. All the while making a … You will work with our global data in excess of 10 million events per second (and growing fast!), and designing and implementing software systems, machine learning platforms, and AI models to leverage the data in detecting and mitigating abusive HTTP L7 layer traffic. Tech stack includes Go, Python more »

but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good command of Python, SQL, SAS or similar coding languages … modelling and then implementation in rating Analyse data, interpret output and communicate results to a non-technical audience Build and test Statistical models and machine learning algorithms Work with Data Enrichment team to obtain and use third-party and internally-generated data sources to enhance models Support the more »

improvement, encouraging team members to explore emerging trends and disruptive technologies.Technology Landscape Analysis: Stay abreast of the latest advancements in technology, including artificial intelligence, machine learning, network and graph analytics, and other relevant domains. Evaluate their potential impact on our products, services, and industry landscape, and recommend strategic more »

Account Executive team, coordinating sales efforts with Cadence’s Global and regional account teams to address Hardware assisted verification opportunities with automotive, AI/ML, 5G, Hyperscalers and other high growth market segments. The candidate will have a strong sales background, strong leadership abilities, along with technical background across multiple … to help educate sales teams and drive successful sales campaigns. There is a significant amount of new technologies and solutions based on AI/ML, 3DIC and Chiplets design and verification that would require tight coordination and execution between the customer, Sales, and RnD. The successful candidate will help coordinate more »

hard-working professionals.The successful applicant will be able to demonstrate the following:Experience leading software development teams.Knowledge of AI technology including Generative AI and Machine Learning.Proficient in cloud computing technologies such as Microsoft Azure.Advanced knowledge of C# and dotnet.Working knowledge of:JavaScript and related client-side frameworks (e.g. VueJS more »

to the VP of Software who reports to the CEO. There are four R&D groups in the Software department:Cloud Infrastructure (data and ML training infra)Onboard Software (the car computer system software)Embodied AI Products (the AI+Robotics autonomy software and data)Evaluation and Validation (make our AI easy … team from about 25 to 50 engineers the first 12 months with potential for significant growth thereafter.You are expected to establish solid software and ML practices from the start and to attract technical leadershipYou will set the technical direction in your area and ensure that deliverables align with company objectives.You … you the chance to make a huge impactCompetitive compensation and benefitsA dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities tooA culture that is ego more »

Data Scientist – Python, Data, Products, AI, Machine Learning, Financial Services – Permanent – 100,000 - 115,000 base + bonus – London/Hybrid My client, a leading Financial Services organisation based in London are looking for a Data Scientist to join their London office on a permanent basis.Your main responsibility … You will use Python/R to write high-level code to process and transform data. Additionally, you will design and implement AI/Machine Learning models to enhance decision making. Prior stakeholder management is required as you will be interfacing with senior stakeholders gathering business requirements to … data strategies. Ideal Skillset:Previous experience working in large and complex Data Driven environmentMinimum of 3 years of hands-on experience in AI/ML developmentProven experience in Python, R, TensorFlow, PyTorch or Similar FrameworksPrevious Experience building Predictive Models (e.g., Research Pricing, recommendation systems)Strong background in Cloud platforms (AWS more »

provide advanced analytic data modelling systems Designing and launching innovative and complex analytical models, utilising a blend of state-of-the-art and traditional machine learning techniques, which is applied to both structured and unstructured data setsKey Actions Play a leading role in the development and design of … support junior data science team members and oversee all activities ensuring alignment with departmental and business-wide vision and strategies Scope, design, and implement machine learning models to support the numerous initiatives of the business and demonstrate the impact to the bottom line of the business Manage live … data engineering teams, in creating data science applications through the utilisation of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques Draft regular reports for senior management on departmental performance and present recommended models and departmental strategies for approval Maintain a deep more »

Data Management and Analytics: Oversee the design and implementation of data management strategies, including data acquisition, storage, processing, and analysis. Leverage advanced analytics and machine learning techniques to extract actionable insights from large volumes of energy market data. Ensure compliance with data privacy regulations and industry standards in more »

including Multi-skilled Software Engineering, Cloud Engineering & Security, UX, Site Reliability Engineering, Front-End design, Agile, Solution Architecture, RF Software Engineering, Data Engineering, and Machine Learning Operations. Software Engineers Using various methods, languages and frameworks, you’ll collaborate with a variety of teams to deliver solutions to real more »

and security. Our internal platform covers the whole software development life cycle from cloud infrastructure to local development, CI/CD, SRE, Security or Machine Learning.The Security Squad is part of the Platform Tribe and offers a comprehensive suite of products that make sure we manage our security risks … you need?We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear more »

and experience in one or more technologies e.g. Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure Synapse, Azure ML, Azure Cognitive Services, PowerBIKnowledge and exposure of financial regulation is highly desirableAwareness of industry trends across wider technology e.g. RegTech, Cloud, Big data & Analytics, and more »