101 to 125 of 626 Machine Learning Jobs in the UK excluding London

and platforms, with a focus on applying these technologies rather than developing them from scratch Experience in designing and prototyping solutions using AI/ML platforms Relevant programming languages subject matter expertise Excellent communication skills Strong leadership skills including mediation, negotiation, delegation, feedback and evaluation of staff Strong administration and … management skills Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services is a plus. Understanding of how to take requirements and separate them into development stories and tasks using various different approaches. Ability to research complex new topics, devise prototypes and propose technical designs. … exciting opportunity then please apply and we’ll get back to you as soon as we can. Applicants will be screened daily. Keywords: AI ML Artificial Intelligence Machine Learning Solutions Architect Deep Music DJ Integration Neural Network Natural Language Processing (NLP) Model more »

implement AI solutions. Integrate AI with client data, APIs, and production systems. Conduct data analysis and build machine learning models. Utilize modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively. Desired Experience: Significant experience as an AI Consultant, Machine Learning Engineer, or similar role. … Proven track record in start-up or dynamic environments. Hands-on experience with cloud-based AI and ML solutions (eg Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL more »

implement AI solutions. Integrate AI with client data, APIs, and production systems. Conduct data analysis and build machine learning models. Utilize modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively. Desired Experience: Significant experience as an AI Consultant, Machine Learning Engineer, or similar role. … Proven track record in start-up or dynamic environments. Hands-on experience with cloud-based AI and ML solutions (e.g. Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL more »

functional leadersUse models like regression and propensity models, time-series, ensemble methods and neural networksSeek out opportunities to make an impact using the latest ML methods (NLP and Gen AI)Be the go-to authority for data products and advanced ML solutionsTranslate complex data models to actionable insightsEnd-to-end … machine learning product development, from data wrangling to model tuning and deploymentProvide insightful storytelling to stakeholders through compelling dashboards and visualisationsLead and oversee intricate data projectsCoach and mentor more junior data scientists, fostering a collaborative, innovative, peer-review culture within the teamRequirementsMinimum 4 years’ hands-on experience as … a Data ScientistBSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine LearningDeep expertise in Python (production-level) and SQLProficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deploymentExceptional communication skills, able to engage confidently with non more »

modeling disciplines;analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership;implementing machine learning algorithms, working end-to-end on machine learning pipelines in production;data engineering working on ETL pipelines, crawling APIs and more »

to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart … and fluent in SQL (any flavor) for analysis; Experienced in applying a broad range of data science techniques, including data manipulation, visualization, package development, machine learning algorithms, NLP, Shiny/Dash, deep learning, and reinforcement learning. Highly skilled in R package development, functional programming principles, documentation best more »

CodeAssist Developer {Machine Learning} Leeds £35,000 - £45,000 + Training + Early Friday Finish Are you a CodeAssist Developer, who wants to join an innovative company at the forefront of software that's is integral to a niche side or the automotive industry? On offer is the more »

plasma division and are aiming to expand partnerships with institutions in the US and Europe. Key research areas include developing new simulation capabilities, utilising machine learning for reactor design, and deploying uncertainty quantification tools. Candidates need a background in plasma physics or a closely related discipline, plus experience … in scientific computing and/or knowledge of machine learning. The roles may involve the opportunity for an extended secondment to a partner institution. Responsibilities: - Lead and contribute to new code development under the group leader's direction, conducting detailed code analysis and performance evaluations. - Conduct research into novel … managing the migration of codes to new computing architectures and evaluating their effectiveness. - Develop innovative techniques at the intersection of HPC and AI/ML for exascale computing, ensuring scalable training, deployment, and evaluation of machine learning models. - Collaborate with national and international partners to optimise codes for more »

and provide support for our Azure platform for Machine Learning, ensuring its continuous availability. Develop engineering solutions for model training, such as ML Pipelines and parallelization. Assist in project and model lifecycle management and packaging using MLFlow. Support the transition of products to higher environments through productionizing and … deployment (e.g., promoting ML Pipelines to Production), leveraging MLOps practices and technologies. Experience & Skills Required Skilled in EDW and big data storage, data provisioning, processing, and pipeline orchestration. Comprehensive understanding of data modeling, possessing expertise and experience in data architecture. Proficient coding abilities in Python, SQL, following best software development … such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch. Knowledgeable about key MLOps concepts such as CI (including data aspects), CD (specific to ML), CT (Continuous Training), feature stores, automated CI/CD, and ML pipelines. Solid experience in source and version controls (Git), as well as linking versions more »

Establish consistent and automated local environments, DevOps practices and tools like Docker and Azure DevOps. Partner with data scientists and machine learning (ML) engineers to deploy ML models on Azure. What’s in it For You? Amazing company to work for! Hybrid working. Great culture and environment. For more »

are working from an office based in Camden, with flexibility for working from home.Eligibility to work in the UK is required.Responsibilitiesresearch and develop novel ML architecturesimplement algorithms according to the high-level specificationsmonitor deploymentsset up, track experiments and provide a high-level summary to the research teamQualificationsMust have:MSc or … PhD in ML or Computer Sciencegood Python coding skillsextensive knowledge of machine learning techniques (at least 1 from the list above)working knowledge of Linux systemsGood to have:familiarity with cloud platforms (GCP or AWS)familiarity with web development (Fast API, React, Mongo more »

levels.Analytics and Insights:Direct the design and implementation of sophisticated analytics models to enhance understanding of pricing responses, customer behaviours, and business dynamics.Utilize advanced machine learning and statistical techniques to forecast trends and enhance operational efficiencies.Provide actionable insights and strategic recommendations to senior stakeholders based on rigorous analysis.Collaboration … teams and client engagementExtensive experience in advanced analytics and data science, preferably in a commercial or consulting environment.Proficiency in Python programming and experience developing ML or statistical models related to pricing.Strong familiarity with data visualization software (e.g., Tableau, PowerBI) and data management tools (e.g., SQL, Snowflake).Bonus Points for:Experience … implementing Machine Learning models and familiarity with large language models.Knowledge of cloud-based solutions on major providers (Azure, GCP, AWS).Familiarity with collaborative software tools such as Git and Jira.Proficiency in user interface applications like React and JavaScript.Domain expertise in pricing, demand forecasting, or time-series modeling. more »

the data science capability team, you will collaborate within a diverse, multi-disciplinary team, engaging in an array of client projects. Leveraging cutting-edge machine learning techniques and an astute analytical mindset, you will deliver profound insights to our clients. Your responsibilities span from intricate data exploration and … practical experience in a pertinent numerate discipline such as mathematics, physics, economics, engineering, or a related field. Demonstrated knowledge and application of statistical and machine learning techniques to address challenges posed by large, intricate datasets. Exceptional communication and presentation skills, with an advantageous background in stakeholder management. Proficiency more »

Location: Weymouth Benefits: Competitive salary, 25 Days Holiday, Hybrid Working Responsibilities: Manage and mentor a team of data analysts, fostering a culture of continuous learning to drive performance. Lead the formulation and execution of a comprehensive data strategy, encompassing service performance metrics, sales KPIs aligned with business objectives. Oversee … trends, opportunities, and areas for improvement within the sales function. Collaborate with cross-functional teams to develop and execute an AI strategy that leverages machine learning, natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques … such as predictive modelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive dashboards, reports, and data visualisations using Power BI or similar tools, enabling stakeholders to gain insights and make informed decisions based on more »

have exposure to modern data tools including Azure Databricks, Cosmos, and data integration technologies. Additional exposure to working with data science teams, and supporting machine learning activity would be highly valued. MAIN RESPONSIBILITIES Be the accountable person for Data as a Product at GRIDSERVE and own the product … Architect ensuring that the Product Roadmap aligns with the Data Platform Roadmap and evolution, influencing the product roadmap as new platform capabilities such as machine learning and artificial intelligence are introduced Develop the product catalogue, roadmap, backlog, and sprint planning while utilizing scrum, agile, and DevOps methodologies. Demonstrate … to non-Azure technologies and familiar with the strengths and weaknesses of a spectrum of BigData and Streaming technologies. Experience with Data Science and ML teams. Experience with the Azure cloud-based data frameworks Experience of cloud based data warehouses. Required qualifications and certifications Microsoft Dynamics Certifications or other relevant more »

diagrams to explain a data processing system on a cloud environment Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to … productionise advanced data deliverables, such as machine learning models Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice more »

diagrams to explain a data processing system on a cloud environment Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to … productionise advanced data deliverables, such as machine learning models Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice more »

re looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these … more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical stakeholders Any more »

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 »

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 »

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 »

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 »