101 to 125 of 589 Machine Learning Jobs with Hybrid or WFH Options

components with APIs and databases.Perform routine maintenance, debugging, and performance optimisations.Extract features from CAD/CAM softwareAnalyse large manufacturing datasets using statistical techniques and machine learning algorithms.Develop predictive models and optimisation algorithms to maximise business opportunities.Clean, preprocess, and wrangle disparate manufacturing data to ensure accuracy and reliability.Working in … acquiring your undergraduate/Masters/PhD degree.2 years + experience developing modern, responsive websites using HTML, CSS, and JavaScript.Experience in data analysis and Machine learning libraries.Working knowledge of feature extraction from CAD/CAM softwareExcellent problem-solving, communication, and teamwork skills.You enjoy working autonomously, seeking feedback and more »

and databases. Perform routine maintenance, debugging, and performance optimisations. Extract features from CAD/CAM software Analyse large manufacturing datasets using statistical techniques and machine learning algorithms. Develop predictive models and optimisation algorithms to maximise business opportunities. Clean, preprocess, and wrangle disparate manufacturing data to ensure accuracy and … undergraduate/Masters/PhD degree. 2 years + experience developing modern, responsive websites using HTML, CSS, and JavaScript. Experience in data analysis and Machine learning libraries. Working knowledge of feature extraction from CAD/CAM software Excellent problem-solving, communication, and teamwork skills. You enjoy working autonomously more »

AWS accounts and infrastructure to host our systems for LLM-inference, including advanced RAG. To this end you will collaborate tightly with Data Scientists, Machine Learning, Big Data, and Software Engineers in a Scrum environment. You can support streamlining deployment and establish best practices in infrastructure management for … of newly created AWS accounts Enable two teams in our business by managing LLM-Operations Communicate effectively with team members and stakeholders, explaining complex machine learning concepts in a clear and concise manner. Your skills and qualifications: 5+ years of experience in DevOps, Cloud Operations, Data Engineering, or more »

risk model, ensuring its accuracy, performance, and scalability. Perform complex data analysis to extract insights and identify trends in cyber risk using statistical and machine learning techniques. Translate model insights into actionable strategies and tools for internal and external stakeholders. Collaborate with underwriters, engineers, and cyber risk analysts … and analytics. A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred. Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python & SQL. Experience with big data technologies and tools, particularly Databricks and Pyspark more »

Cloud-Based Infrastructure: Knowledge of cloud platforms and automation. Collaboration: Effective teamwork in an agile environment. Machine Learning Models (Beneficial): Experience with ML models. Why Join this company? Innovative Mission: Fight cancer with groundbreaking AI-enhanced diagnostics. Unique Technology: Work on a patented platform using IR spectroscopy. Growth … Up Journey: Experience the dynamic startup environment firsthand. Autonomy and Ownership: Take ownership of impactful projects. Cutting-Edge Technology: Work with advanced tech like machine learning and IR spectroscopy. Cross-Disciplinary Collaboration: Learn from experts in various fields. Regulatory Insight: Navigate complex regulatory landscapes. Career Acceleration: Develop skills more »

technology services. Join the Ordnance Survey's Automatic Feature Extraction team as a Data Scientist and contribute to solving business and customer problems using machine-learning and data science techniques, particularly with Computer Vision. Be part of a multidisciplinary production delivery team and actively engage in the analytical … a relevant field. ? Experience in a data-intensive analytical role. ? Strong mathematical and programming skills. ? Understanding of software engineering best practices in support of ML programming. ? Customer-focused with strong presentation skills. ? Understanding of descriptive, predictive and prescriptive analytics. ? Experience developing machine learning models. ? Ability to structure business more »

forms and see the value in transforming data into insights. You will also need to be: enthusiastic and motivated, with a desire for constant learning a great communicator and natural collaborator intrigued by the potential of digital health solutions willing to offer an opinion or critique in a constructive … Azure SQL (inc. Synapse) work with members of the Data Science team, supporting and building data processing pipelines that provide customised, anonymised data to machine learning models for both scheduled and real time predictions process data from machine learning models to support decision making across health more »

help to inform the business and work with the Performance Insights Lead to develop the BI dashboards and visualisation tools. - Investigate and implement relevant machine learning and AI tools to identify previously unknown insights and trends - Automate reporting and reduce the reliance on Excel based outputs - Build a …/bi/visualisation platforms such as MS Power BI - Will be able to build and exploit data models, statistical analysis or predictive analytics, machine learning or artificial intelligence - Be experienced at embedding insights and working with the business to be able to use the data to make more »

days) Week 6 - Probability & Statistics (3 days) Week 7 - Maths & Statistics Project (Self Study) Week 8 - Algorithms & Graph Theory (3 days) Week 9 - Machine Learning 1 (3 days) Week 10 - Machine Learning 2 (3 days) Week 11 - Data Science Project (Self Study) Week 12 - Project Review more »

We have a quality management system annually certified by the BSI to allow us to develop Software As a Medical Device, we have a machine learning operations created in-house which we use to train our models, and we have a deployment platform through which our AI applications … are hosted and used. We have a DGX and associated server which we maintain within the team and use for machine learning purposes. We have a straightforward and robust way of accessing, analysing and cleaning data. With this combination of platforms we translate clinical research into clinical practice more »

classified. You will be surrounded by some of the smartest technologists in the UK and have access to the latest tooling and methodologies across machine learning, software engineering & cloud. What you'll bring with you: we are looking for intelligent, creative problem solvers with broad exposure to cloud … machine learning and software development. Experience with Python & AWS/Azure is a solid baseline. You will also be a pragmatist and ideally have a 'consultant' mentality. You will be interacting with end-users and clients on a regular basis. Working patterns: this is a hybrid role with more »

classified. You will be surrounded by some of the smartest technologists in the UK and have access to the latest tooling and methodologies across machine learning, software engineering & cloud. What you'll bring with you: we are looking for intelligent, creative problem solvers with broad exposure to cloud … machine learning and software development. Experience with Python & AWS/Azure is a solid baseline. You will also be a pragmatist and ideally have a 'consultant' mentality. You will be interacting with end-users and clients on a regular basis. Working patterns: this is a hybrid role with more »

has a good understanding of Data Science techniques and the CRM environment. RESPONSIBILITIES: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team and various stakeholders in the … Hybrid working HOW TO APPLY: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Forecasting, Machine Learning, Data Science, Data Scientist, Retail, Churn, Propensity more »

has a good understanding of Data Science techniques and the CRM environment. RESPONSIBILITIES: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team and various stakeholders in the … Hybrid working HOW TO APPLY: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Forecasting, Machine Learning, Data Science, Data Scientist, Retail, Churn, Propensity more »

in 6%), 4% flexible cash allowance, private medical insurance, 30 days holiday plus bank holidays. Where does the role sit? We're the Data & Machine Learning Platforms within Lloyds Banking Group! We support all areas of the bank, so products you work on could apply to any area … achieved using data and an appreciation of what benefits can be derived from data (essential). Broad knowledge of potential solutions utilising Data Science, Machine Learning, Artificial Intelligence or Business Intelligence. You'll need a solid grounding in more than one area. Advanced experience in Cloud Architecture, designing more »

like Torque Management, Traction Management & Thermal Management. · Curious and Perpetual Learning mindset to be able to apply cutting edge technologies like AI/ML to influence Supervisory Management Control Strategies. · An individual with a Customer Focussed Mindset who can translate complex technical solutions into real world customer benefits. · An … software testing and quality metrics (coverage analysis, complexity analysis). · Experience with automotive communication protocols e.g. CAN/CAN FD/UDS. · Knowledge of machine learning and big data algorithms and implementations. Duties & Responsibilities Prepare technical roadmap for the subject area . Develop and design new functions. · Support … supervisory controller functions. · Provide ongoing assessment of software design processes and optimise changes as needed · Contribute to Advanced Research · Support advanced SW development including machine learning and big data features. · Support development and validation of advanced energy management algorithms, Thermal management Strategy and 4WD Torque Split Strategy. · Support more »

classified. You will be surrounded by some of the smartest technologists in the UK and have access to the latest tooling and methodologies across machine learning, software engineering & cloud.What you'll bring with you: we are looking for intelligent, creative problem solvers with broad exposure to cloud, machine learning and software development. Experience with Python & AWS/Azure is a solid baseline. You will also be a pragmatist and ideally have a 'consultant' mentality. You will be interacting with end-users and clients on a regular basis.Working patterns: this is a hybrid role with an expectation more »

trends, and correlations within the data to uncover actionable insights. Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. Implement machine learning techniques to segment customers and personalise marketing strategies. Collaborate with cross-functional teams to enhance CRM strategies based on data-driven insights. … and demographic data. Provide actionable recommendations to improve customer engagement, satisfaction, and loyalty. Requirements 1-3 years experience in data analysis, statistical modelling, and machine learning techniques. Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft Azure. Strong programming skills more »

Insights : Utilize your analytical prowess to perform deep dives into complex problems extracting insights that inform risk management strategies and decision-making processes. Continuous Learning and Sharing : Engage in continuous professional development through our internal programs, workshops, and seminars, while also contributing to the knowledge base by sharing your … unique insights and research findings. Digital Transformation Contribution : Be an integral part of our digital transformation journey, leveraging the latest in cloud computing and machine learning to develop innovative risk management tools and platforms. Your profile Educational Background : MSC or PhD in Mathematics, Physics, Statistics, Financial Engineering, Computer … mathematics, energy markets, and trading principles is highly desirable. Innovative Mindset : A passion for research, problem-solving, and the application of quantitative finance and machine learning techniques in real-world scenarios. Communication Skills : Ability to distill complex quantitative findings into clear, actionable insights for both technical and non more »

for real-time data processing. Akka HTTP and Akka Streams: Leverage your proficiency in Akka HTTP and Akka Streams to support existing services effectively. Machine Learning Integration: Explore opportunities to evolve our personalization services with machine learning techniques. Agile Collaboration: Work within a cross-functional agile more »

Insights : Utilize your analytical prowess to perform deep dives into complex problems extracting insights that inform risk management strategies and decision-making processes. Continuous Learning and Sharing : Engage in continuous professional development through our internal programs, workshops, and seminars, while also contributing to the knowledge base by sharing your … unique insights and research findings. Digital Transformation Contribution : Be an integral part of our digital transformation journey, leveraging the latest in cloud computing and machine learning to develop innovative risk management tools and platforms. Your profile Educational Background : MSC or PhD in Mathematics, Physics, Statistics, Financial Engineering, Computer … mathematics, energy markets, and trading principles is highly desirable. Innovative Mindset : A passion for research, problem-solving, and the application of quantitative finance and machine learning techniques in real-world scenarios. Communication Skills : Ability to distill complex quantitative findings into clear, actionable insights for both technical and non more »

Insights : Utilize your analytical prowess to perform deep dives into complex problems extracting insights that inform risk management strategies and decision-making processes. Continuous Learning and Sharing : Engage in continuous professional development through our internal programs, workshops, and seminars, while also contributing to the knowledge base by sharing your … unique insights and research findings. Digital Transformation Contribution : Be an integral part of our digital transformation journey, leveraging the latest in cloud computing and machine learning to develop innovative risk management tools and platforms. Your profile Educational Background : MSC or PhD in Mathematics, Physics, Statistics, Financial Engineering, Computer … mathematics, energy markets, and trading principles is highly desirable. Innovative Mindset : A passion for research, problem-solving, and the application of quantitative finance and machine learning techniques in real-world scenarios. Communication Skills : Ability to distill complex quantitative findings into clear, actionable insights for both technical and non more »

Insights : Utilize your analytical prowess to perform deep dives into complex problems extracting insights that inform risk management strategies and decision-making processes. Continuous Learning and Sharing : Engage in continuous professional development through our internal programs, workshops, and seminars, while also contributing to the knowledge base by sharing your … unique insights and research findings. Digital Transformation Contribution : Be an integral part of our digital transformation journey, leveraging the latest in cloud computing and machine learning to develop innovative risk management tools and platforms. Your profile Educational Background : MSC or PhD in Mathematics, Physics, Statistics, Financial Engineering, Computer … mathematics, energy markets, and trading principles is highly desirable. Innovative Mindset : A passion for research, problem-solving, and the application of quantitative finance and machine learning techniques in real-world scenarios. Communication Skills : Ability to distill complex quantitative findings into clear, actionable insights for both technical and non more »

Insights : Utilize your analytical prowess to perform deep dives into complex problems extracting insights that inform risk management strategies and decision-making processes. Continuous Learning and Sharing : Engage in continuous professional development through our internal programs, workshops, and seminars, while also contributing to the knowledge base by sharing your … unique insights and research findings. Digital Transformation Contribution : Be an integral part of our digital transformation journey, leveraging the latest in cloud computing and machine learning to develop innovative risk management tools and platforms. Your profile Educational Background : MSC or PhD in Mathematics, Physics, Statistics, Financial Engineering, Computer … mathematics, energy markets, and trading principles is highly desirable. Innovative Mindset : A passion for research, problem-solving, and the application of quantitative finance and machine learning techniques in real-world scenarios. Communication Skills : Ability to distill complex quantitative findings into clear, actionable insights for both technical and non more »

Insights : Utilize your analytical prowess to perform deep dives into complex problems extracting insights that inform risk management strategies and decision-making processes. Continuous Learning and Sharing : Engage in continuous professional development through our internal programs, workshops, and seminars, while also contributing to the knowledge base by sharing your … unique insights and research findings. Digital Transformation Contribution : Be an integral part of our digital transformation journey, leveraging the latest in cloud computing and machine learning to develop innovative risk management tools and platforms. Your profile Educational Background : MSC or PhD in Mathematics, Physics, Statistics, Financial Engineering, Computer … mathematics, energy markets, and trading principles is highly desirable. Innovative Mindset : A passion for research, problem-solving, and the application of quantitative finance and machine learning techniques in real-world scenarios. Communication Skills : Ability to distill complex quantitative findings into clear, actionable insights for both technical and non more »