1 to 25 of 584 Permanent Machine Learning Jobs in London

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 »

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 »

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 »

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 »

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 »

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 »

are accounted for.Model-driven insights.Wielding our modelling and analytics tools (and adding new ones where appropriate) to discover insights. Such insights may be a learning about how our customers behave or the efficacy of a new modelling technique.Effectively communicate these insights with the broader business to drive value by … scientific computing and tooling — e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS.Self-driven with the capability to efficiently manage projects end-to-end.Bonus:Experience building machine learning models from scratch (e.g., built your own optimiser).Excellent knowledge of stochastic processes and related mathematical techniques.Experience with modelling credit risk or … your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The cultureAt iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore more »

interested in experience/backgrounds from the following Mathematical/Physics related disciplines: Data Analysis/Mathematical analysis Algorithm Development Artificial Intelligence (AI) Robotics Machine Learning Modelling & Simulation/Model based design Acoustics Computer Vision Data Science/Computer Science R&D (Research & Development) We have an exciting more »

looking for a Java Developer to join our high profile client.Our client is a 20 man start up who have created a market leading machine learning data analysis product in the financial data market. Details of the full ideas of the company are protected by a Non Disclosure more »

design to deploymentHighly skilled in Python and familiarity with another second object oriented languageExperience with AWS and familiarity with Docker and container orchestrationBackground in Machine Learning or AIBeing one of the leaders in their field, the company are keen to stay motivated as a world leader. They are … per annum that comes with an excellent benefits package.If you’re interested in this Principal Software Engineer job in London, please apply.Tagged as: Machine Learning, Python, Software 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 »

a Technical Lead profile to manage the MLOps unit within the Intelligent Systems Group. The unit is currently horizontal, it includes both Platform and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL … team and the emotional intelligence required to work with human capital are a must. Confident, but realistic, in their own skills and open to learning new approaches and solutions. Strong software engineering experience with Python. Experience working on production-level microservices (Docker/Kubernetes) and cloud infrastructure. Experience working … with Databases, Postgres, Redshift, Neo4j would be a plus.Computer Science or Software Engineering degree/BSc or higherExperience leading a Machine Learning/MLOps teamLow ego management styleStrong Python coding experience Experience with the SQL querying languageExperience working with Docker both in development and deployment environmentsExperience reading/ more »

social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.About the team:The Conversion ML team is responsible for improving and maintaining machine learning models that have a pivotal impact on the performance of Accelerate customers’ advertising campaigns. … The team collaborates closely with other ML-oriented teams at Liftoff. We use many modern ML frameworks and architectures, including Spark and PyTorch to build deep neural networks.Location:This role is located in Liftoff's Hub in Paris, France or can be in any of the following locations: England or … Germany. ML Engineers located in Paris will be asked to come into the office once a week and once a month if located in one of the above countries. Responsibilities:Own both the ML models and the underlying software tooling and infrastructure. Our ML Engineer role combines the classic "ML 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 »

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 »

leadership skills to drive successful transformation initiatives. Have related experience in large scale Digital Transformation, process automation and Platform Modernisation initiatives utilising AI/ML Exceptional strategic thinking, problem-solving, and decision-making abilities. Proven leadership in transformative roles within companies from disruptive industries such as Digital payments or fintech. … alignment with the organization's overall business goals. Oversee the integration and modernization of multiple legacy platforms into a modular but unified, AI/ML-driven system, fostering efficiency and scalability. Collaborate cross-functionally with engineering, data science, operations, and other departments to ensure a seamless transition and optimal performance … responsiveness throughout the transformation process. Drive innovation by identifying and incorporating emerging technologies in digital business transformation, particularly in the fields of AI and ML, to enhance the capabilities of the product platform. Establish and maintain strong relationships with key stakeholders, providing regular updates and garnering support for the transformation 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 »

work will have a very direct, measurable impact on achieving those goals.Senior Data Scientist – Spiking Neural NetworksJob responsibilities:Apply your existing knowledge of SNNs, machine vision and image analysis techniques to the development of a novel SNN engine based on our research outputs. You may also be asked to … work on projects that make use of CNNs and Transformer networks.Enhance machine learning software with the latest in machine learning algorithms.Work with other team members tasked with the development of a system for automating the production of synthetic training images derived from digital 3D virtual reality … work into practice.Contribute to the development of systems that will be core components of our machine vision, image analysis and other AI/ML products.Support the work of other data scientists and developers in the team.Work with research colleagues and offer technical support to colleagues in commercial roles in more »