76 to 100 of 518 Machine Learning Jobs in London

AI, ML and Series A investment. Not another one of these companies? No, it’s not. You’re going to be coming in to lead engineering in a company that have already proved that their product works and works well. With a host of big-name clients, their AI/… ML driven tech product has been key in helping various brands automate their online advertising and optimise it for increased ROI. Series A investment was achieved last year and that was used to build out the product and start to grow the team across tech and sales. The technical team … You’ll come in to help each member hit their potential, whilst fostering a team focused on collaboration and good quality outcomes. AI and Machine Learning are built into the product and are of course the main buzz words here, but at its core, it’s a SaaS more »

fees of £400,000 (Imagine earning £32,000-£160,000 on a single placement!) Specialist Technology Trading, Quantitative Research, Portfolio Management/Trading (AI & Machine Learning, Software Engineering & Data) firm, that recruit across Europe & the US Delivery focussed role - no BD required Central London based Working on an 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 »

outcomes for millions of individuals. ROLE: Deploy, maintain, and monitor Machine Learning models to enhance value for stakeholders. Guide tooling selection for ML and health data infrastructure in the cloud environment. Contribute to the development of a health data platform, ensuring resilience and adaptability. Facilitate collaboration between Data … Scientists and Data Engineering teams. Advocate for data quality and observability across ML models and data systems. Evaluate and implement new Data Science and AI tools, focusing on practical deployment and cost management. REQUIREMENTS: Proficiency in cloud data infrastructure, particularly GCP (Azure experience is advantageous). Hands-on experience deploying … and maintaining ML models in production environments. Strong skills in SQL and Python programming. Sound understanding of data modeling best practices. Familiarity with FHIR-related technologies is highly desirable. Experience deploying LLMs at scale is a plus. NEXT STEPS: If this role looks of interest, please reach out to Joseph more »

company-paid private Dental & Vision insurance + Flexible PTO & Sick Policy This is an excellent opportunity for a C++ Engineer with good Python, ML & Edge Computing experience to join an exciting startup offering a high responsibility role into the backend stack of their technology. You will be working with ex … for latency and memory. They will have experience using various profiling tools to optimise code, experience with Docker & CI/CD pipelines & have interfaced ML models. It is beneficial if the candidate also has experience with Edge/IoT computing and previous video processing experience such as GStreamer. This is … changing startup! The Role: * Writing production software in C++ and Python * Experience using profiling tools * Experience with Docker & CI/CD pipelines * Edge Computing, ML model interfacing The Person: * Strong C++ & Python experience * Profiling tools & ML Model interfacing experience * Docker & Edge/IoT computing * Engineering excellence and aptitude working for more »

MACHINE LEARNING ENGINEER REMOTE £70,000 - £90,000 COMPANY: We have partnered with an AI based startup, who are focused on developing the latest AI and LLM solutions for businesses withing the property and real estate industry. They are looking for an experienced Machine Learning Engineer … as well as work closely with their clients. ROLE: You will be involved in implementing and fine tuning LLM's Designing, implementing and maintaining ML pipelines Define infrastructure requirements and architecture for Model Training and Inference Measure and review the performance of production models - Regularly conducting evaluation and tuning Collaborate more »

that creating an inclusive environment that values and encourages different perspectives is critical for our success, and the success of our people. We are learning, listening and taking action to be better and foster trust in our community. Our goal is to ensure every person working at Foundry feels … and that there is equal access to opportunities for all. THE ROLE. This QA Engineer role is an exciting opportunity to work on our machine learning assisted rotoscoping project as part of our A.I Research team. As a QA Engineer, your work will vary from carrying out release … clients Setting up test footage and test cases based on client footage and requirements Manually evaluating and benchmarking new rotoscoping algorithms Creating datasets for machine learning training Setting up and updating automated tests for functionality and workflows Requirements THE ESSENTIALS. A degree in a Visual Effects related subject more »

You will solve multiple of computer vision related problems end to end and integrate solutions into our cloud processing pipeline. You will identify appropriate machine learning models through research, such as reviewing academic papers and adapting them for our use. Drive the development of the cutting-edge 3D … AI pipeline, leveraging the latest breakthroughs in 3D data processing, 3D vision, and machine learning techniques. This entails system design and comprehensive testing. Identify and address bottlenecks in data, pipeline, and operations, proactively devising and implementing agile solutions to enhance scalability and optimize performance. Take ownership of project … with Computer Vision models, particularly in the context of SLAM. Demonstrate proficiency in analyzing 3D Video and performing 3D reconstruction. Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS. SALARY AND BENEFITS Competitive salary range: £65,000-£90,000. Equity ownership in the company. Comprehensive benefits package. HOW more »

Oakland Search has partnered with YCombinator-backed Pre-Series A start-up developing revolutionary SaaS product using AI/ML technology. You will be the first Data Engineer hire within the company, with an opportunity to shape and grow your team from both a technical and leadership standpoint. Responsibilities: Collaborating more »

one of the most innovative companies in the LegalTech space providing advanced and market-leading intelligence services. Significantly, the organisation has invested in an ML/NLP-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach … utilise cutting-edge LLMs within an NLP context. Responsibilities Helping to define and implement NLP-led projects within the core Product. Work with the ML Engineering team to help productionise and scale the algorithms. Mentor junior team members Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc. … Deep Learning & Machine Learning knowledge. Usage of LLMs in a commercial environment is a bonus. PyTorch experience a major bonus – other ML frameworks are also accepted. Docker & Kubernetes experience is a bonus. If this role interests you and you would like to find out more, please apply more »

have developed a unique analytics and management platform for the hospitality industry which can be used directly by their target market. This software uses Machine Learning to automate processes, optimize pricing and provide visualization of actionable insights that their clients can use. Already partnered with over … and be fundamental to the growth and development of the company. The Role Your role within the company will be focused on creating new Machine Learning models for use on their state-of-the-art platform. You’ll be developing and testing new models for forecasting, prediction, and … MSc OR PHD in a STEM subject – ideally from a top UK university Experience with Python/TensorFlow/Keras Solid knowledge & understanding of Machine Learning/Data Science Strong Time-Series Forecasting Experience ·Research experience is a bonus! On offer is a salary up to more »

largest Source-to-Pay technology change programmes. Built our own innovative Insights Application that has cleansed £bns of spend data from large organizations using machine learning and provided actionable insights that helps our clients realize savings quickly. We have a team with expertise but also a passion to more »

a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time … spent on “data mechanics” Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time A support engineer II is … to address critical issues when needed. Contribute articles to Knowledge Base and engage with user community on forums and other channels. Engage in continuous learning to remain updated with new product releases and latest technologies. Why You ? Basic Qualifications We are looking for professionals with these required skills to more »

We provide and develop the innovation initiatives across a large array of our audit clients. We do this through the implementation of robotics, AI, machine learning and advanced analytics tools, leveraging the best technologies currently on the market. The team works with audit clients and internal audit stakeholders … advise senior stakeholders on ways to automate and reimagine audits, implementing innovative technologies, such as Python, R, SQL, Alteryx, Power BI, Process Intelligence and Machine Learning. Building a strong understanding for the role data and analytics plays in the modern day audit. You’ll get to work on technical … assignments enabling you to develop skills in Advanced Analytics, Machine Learning, Data Engineering and sophisticated visualisation tools to provide clients with the PwC digital audit experience. This means that you’ll develop the technical, business and soft skills around the topic of data and analytics that our clients more »

of any modern organisation and Aviva is no different. Our Data Engineering teams sits within Aviva’s Quantum Data Science Practise (covering areas including Machine Learning, Analytics, Data Engineering, AI, etc) but also services Claims, Pricing, Financial Crimes, Fraud and Underwriting with the data they need to provide more »

institutions like BlackRock to embark on “Phase 2” of their movement. They offer a unique fixed-income trading application that utilises an all-encompassing machine-learning-based platform for negotiating, receiving, and executing trades entirely electronically! The platform has generated over $20 billion in trading volumes consecutively over more »

the following areas: data strategy, Data architecture, (modern) data platform architecture, data modeling, data governance, Business Intelligence, Big Data, reporting & data warehousing, AI and Machine Learning. • You have good understanding of the different data architecture patterns: Data Fabric, Data Mesh, Data Warehouse, Data Marts, data modeling, ontologies & knowledge graphs more »

lot into their data function in recent years, and they are now operating on Azure, with a desire to start utilising Artificial Intelligence and Machine Learning in the future, making this is an incredibly exciting time to join the team! As a Senior Data Engineer, you will support more »

lot into their data function in recent years, and they are now operating on Azure, with a desire to start utilising Artificial Intelligence and Machine Learning in the future, making this is an incredibly exciting time to join the team! As a Senior Data Engineer, you will support more »

a new, greenfield division of the business, using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. As a Data Engineer, you will more »

a new, greenfield division of the business, using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. As a Data Engineer, you will more »

a new, greenfield division of the business, using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. As a Lead Data Engineer, you more »

a new, greenfield division of the business, using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. As a Lead Data Engineer, you more »

they can simulate market conditions. They can then automatedly execute the corresponding trades to alter their portfolio. The product also has an AI/ML feature which automatedly presents portfolio optimisation which can then be executed automatedly. Over the next 12 months, the product will be expanded to cover elements more »

they can simulate market conditions. They can then automatedly execute the corresponding trades to alter their portfolio. The product also has an AI/ML feature which automatedly presents portfolio optimisation which can then be executed automatedly. Over the next 12 months, the product will be expanded to cover elements more »