1 to 25 of 1,183 Machine Learning Jobs in the UK

System (EBMS), our cloud-based building analytics platform, is evolving with smart analytics capabilities centered on leveraging machine learning and artificial intelligence (ML/AI) to support operation facilities globally. We are actively seeking a highly-motivated, multi-talented Senior Program Manager who is enthusiastic about developing cloud 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 »

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 »

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 »

commercial goals to identify opportunities to quickly deliver customer value Ensuring that the product continues to use best practices, utilising advances in AI/machine learning ???? What you’ll bring Demonstrated experience developing data strategy and machine learning algorithms for consumer applications, preferably with a agtech … focus Knowledge of the latest practices in AI/machine learning and can creatively apply them to a consumer application Demonstrated ability to deliver product in a tech startup environment and with speed Confidence to manage a tech team to develop a mobile app, and ability to inspire more »

opportunity to have enormous impact on the firm. We are actively engaged with the broader technology community.We host and sponsor London’s PyData and Machine Learning MeetupsWe open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how … place in which to work.We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.Technology and Business SkillsWe strive to hire the brightest and most 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 »

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 »

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 »

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 »

Your contributions will directly fuel the development of data-driven products, enhance personalization efforts, fortify our reporting capabilities, drive advancements in data science and machine learning, and ultimately underpin our overall business triumphs.Key responsibilities include:Design, develop, test, document, and operate a range of data migration processes to 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 »

experience programming with C#.NET. This should include experience with some of the following: WinForms, WPF and SQL Server.Further project experience with cloud computing (Azure), ML/AI integration, MVC web development, real-time data management software (OsiSoft PI Systems), or mapping software (ArcGis) would be beneficial.Applicants are expected to have … are already based in the UK or have pre-existing links to the UK.Keywords: C#.NET, WinForms, WPF, SQL Server, Real-time 3D Structural Modelling, ML/AI, Cloud Computing, Edinburgh -> SurreyPlease note: even if you don't have exactly the background indicated, do contact us now if this type of 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 »

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 »

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 »

Solid demonstratable track record coding in the following languages: C++ Experience working with IoT platforms (ThingWorx , Aveva technology stack, analytical tools, digital twins and machine learning, or other relevant operational technology information systems) Agile methodologies Qualifications in Software engineering is highly beneficial To discuss this exciting opportunity 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 »

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 »

problems for our clients. Our engineering teams build scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Engineering, which is comprised of our Technology Division and global strategist groups, is … due consideration to security, design, validation and SDLC framework Contribute to shaping the strategic vision of our Fraud screening platform involving data streaming and machine learning technologies Collaborate with product managers, business operations, engineers to define product requirements and objectives Participate in system design consulting, platform management Develop … corporate cash management desirable Experience with AWS services - Amazon MSK/Apache kafka, ECS, S3, IAM, AWS XRay Basic knowledge of data science and machine learning is preferable but not essential ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients 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 »

System Management: Ensure the delivery and maintenance of soft-real-time applications on Linux-based platforms, focusing on data collection, storage, and on-edge machine learning inferenceFault Tolerance and Diagnostics: Develop fault-tolerant software solutions with comprehensive diagnostic tools to swiftly address and resolve issues impacting the operational … 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 »

and development team for a client in the Staffordshire region. This role will focus on building applications that leverage data analytics, digital twins and machine learning in their quest to become market leaders in their sector. You need to have solid C++ coding experi... APCT1_UKTJ 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 transformation, without the need for the crutch of Cloud Platforms at all times… Develop, enhance, and manage intricate data ingestion pipelines. Integrate advanced machine learning elements into data pipelines. Implement data quality metrics and dashboards for monitoring. Collaborate with data scientists, engineers, and cross-functional teams in … and processing. Ensure the efficiency, scalability, and dependability of data ingestion pipelines.Qualifications: Minimum 3 years of experience in developing data ingestion pipelines with advanced ML elements. Degree in Computer Science, Data Science, Engineering, or related field. Proficient in Python, SQL, PySpark, and Databricks. Experience with modern NLP techniques and tools. … data scientist or quantitative risk modeller. Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field (advanced degrees preferred). Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python and SQL, with experience in big data technologies (Databricks, PySpark). Experience more »