226 to 250 of 955 Machine Learning Jobs in England

services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track … record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual more »

services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track … record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual 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 »

into extensive and intricate datasets to gain comprehensive insights Extract, interpret, and communicate findings effectively with the team Develop predictive models using statistical and machine learning methods Validate and refine models for accuracy and applicability Stay updated on industry trends and advances in data science Requirements: Essential … record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with the pandas library Strong communication and collaboration skills A proactive attitude towards learning and development Desirable: Experience with SQL for data manipulation Familiarity with time series modeling and forecasting Exposure to Cloud Environments like GCP or AWS … Knowledge of Bash, Unix, and version control systems like Git Understanding of Object-Oriented Programming principles About Us: Our client, founded by experts in machine learning and industry veterans, is dedicated to unlocking the value of data and technology. We specialize in applying cutting-edge research to solve 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 »

maintain high-quality software solutions using C# and .NET. Utilise AWS services to build, deploy, and manage applications in the cloud. Implement AI and machine learning algorithms to enhance software functionality and performance. Collaborate with cross-functional teams to gather requirements and deliver solutions that meet business needs. … focus on C# and .NET. Proven experience with AWS services such as EC2, S3, Lambda, RDS, and DynamoDB. Hands-on experience with AI and machine learning frameworks and libraries. Strong understanding of software development methodologies, tools, and processes. Excellent problem-solving skills and the ability to work effectively more »

across all company functions, enhancing our ability to make informed decisions quickly and effectively.You'll also play a critical role in integrating AI and machine learning models into our services, working closely with product teams to improve customer experiences and operational efficiencies. Your oversight will extend to the … significant portion in leadership positions. Prior experience in the banking or financial services sector is highly desirable.Technical Proficiency: Advanced knowledge of data analytics frameworks, machine learning, AI integration, and the ability to design scalable data infrastructures and architectures.Regulatory Knowledge: Comprehensive understanding of and experience with data protection regulations … employee contribution and a 3% employer top-up.Learning and development: After 1 year of service, you'll have access to 500 from the Kroo Learning Fund to invest in your career development.Top-notch equipment: We provide top-of-the-line equipment necessary for smooth hybrid work, including a MacBook more »

our clients with Smart Digital Operation solutions - Intelligent technologies and solutions to digitalise, optimise and streamline industrial operational processes. Leveraging Data Analytics, Digital Twins, Machine learning, Automation and the IIOT (Industrial Internet of Things) to enhance process efficiency, help to drive to Net zero, product compliance, asset health … C#, Python, and SQL It would be beneficial to have an knowledge of IIoT platforms – ThingWorx , Aveva technology stack,analytical tools, digital twins and machine learning, or other relevant operational technology information systems. Proven experience integrating with RESTful Web Services Candidate Profile: Experience in developing UI Proven experience more »

development of best practices and standards for data engineering within the organization. · Developing and implementing data models and algorithms to support data science and machine learning initiatives. TECHNICAL REQUIREMENTS · Proven track record leading complex ETL and Data Infrastructure projects, as well as designing and building data intensive applications … of data structures and algorithms · Familiarity with Unix systems, common command line tools e.g., grep, awk and source control tools e.g., git · Familiarity with Machine Learning and Statistics a plus · Excellent problem-solving and analytical skills. · Experience working in an Agile development environment. Our Amazing Benefits · Hybrid/… Healthcare for you - talk to us about adding your family · Discounts on various retail stores, gyms memberships and a bike scheme · Access to LinkedIn Learning · Peer to peer recognition...and much, much more! About Us · 4.8 rating on Glassdoor! · Excellent employee retention · We have a culture deeply engaged in Diversity more »

multi-instance clusters for data and model parallel training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. Other: Experience at a leading machine learning company. Interested in the impacts … screen) you will be asked to answer at least one of the below questions: Describe your experience in creating/managing HPC clusters for ML models. What tools did you use? Describe how you have efficiently served large ML models at scale. Highlight any specific techniques or libraries used. Please 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 »

Our esteemed MBB Client seeks visionary Directors with a passion for innovation, particularly in the realms of Machine Learning (ML), Artificial Intelligence (AI), Natural Language Processing (NLP), Data Analytics, and beyond. Join us in London and lead the charge towards transformative change in the consulting landscape. About Us … insights and operational excellence. The Opportunity: As a Director, you will spearhead initiatives at the intersection of consulting and technology, harnessing the power of ML, AI, NLP, Data Analytics, and other emerging tools to drive innovation and deliver unparalleled value to clients. This role offers a unique opportunity to shape … consulting while leading high-impact projects in London and beyond. Responsibilities: Lead cross-functional teams in the design and implementation of innovative solutions, leveraging ML, AI, NLP, and advanced analytics to address complex business challenges. Collaborate closely with clients to understand their needs and objectives, providing strategic guidance and thought more »

trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are also … of the CPG space Strong project management and team management skills and ability to work with global teams A solid understanding of statistical and machine-learning algorithms is a plus Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Tableau & Power 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 »

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 »

them Create and implement data architecture design and data modelling coupled with focus on data visualisation, AI (Artificial Intelligence) and Machine Learning (ML) Shape and define data strategies and understand specifications of data integration and data migration approaches Work within a project management and agile delivery methodology environment more »

them Create and implement data architecture design and data modelling coupled with focus on data visualisation, AI (Artificial Intelligence) and Machine Learning (ML) Shape and define data strategies and understand specifications of data integration and data migration approaches Work within a project management and agile delivery methodology environment more »

them Create and implement data architecture design and data modelling coupled with focus on data visualisation, AI (Artificial Intelligence) and Machine Learning (ML) Shape and define data strategies and understand specifications of data integration and data migration approaches Work within a project management and agile delivery methodology environment more »

them Create and implement data architecture design and data modelling coupled with focus on data visualisation, AI (Artificial Intelligence) and Machine Learning (ML) Shape and define data strategies and understand specifications of data integration and data migration approaches Work within a project management and agile delivery methodology environment more »

development of best practices and standards for data engineering within the organization. Developing and implementing data models and algorithms to support data science and machine learning initiatives . Technical Requirements Proven track record leading complex ETL and Data Infrastructure projects, as well as designing and building data intensive … of data structures and algorithms Familiarity with Unix systems, common command line tools e.g., grep, awk and source control tools e.g., git Familiarity with Machine Learning and Statistics a plus Excellent problem-solving and analytical skills. Experience working in an Agile development environment. Our Amazing Benefits Hybrid/… Healthcare for you - talk to us about adding your family Discounts on various retail stores, gyms memberships and a bike scheme Access to LinkedIn Learning Peer to peer recognition…and much, much more! About Us 4.8 rating on Glassdoor! Excellent employee retention We have a culture deeply engaged in more »

COMPANY: We are working with a leading retail company, who are looking to progress the work they are doing around Machine Learning (Personalisation and Recommenders). They are looking for a Lead Data Scientist to join their team. A retail company is looking for a Lead Data Scientist … to join their team! ROLE: 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 business Building predictive, segmentation and personalisation-based models 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 & Lead New Function Development. Prepare technical roadmap for the subject area … 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 more »

performance and detect data drift. Collaborate closely with stakeholders from different functions to understand their requirements and provide appropriate solutions. Actively seek opportunities where machine learning solutions can have a significant impact on business outcomes. Communicate findings and insights effectively to technical and non-technical stakeholders. REQUIREMENTS: A … or related field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity with machine learning algorithms and techniques, with a deep understanding of their underlying principles. Strong problem-solving skills and meticulous attention to detail. Excellent communication more »

continued professional development Desirable Project Management Qualification Microsoft certification on PowerBI and Azure Management/leadership qualification or equivalent knowledge at post graduate level Machine learning, data analysis and forecasting Experience Essential Proven experience of working in a senior analyst/management/leadership role Experience of facilitating … Excel, PowerBI, and SQL Server Working knowledge of NHS Data Standards and Information Systems. Desirable Experience working with R and Python Statistical analysis and machine learning techniques NHS IT systems Knowledge of performance returns, definitions, guidance and performance management in the acute sector Understanding of NHS data flows more »