201 to 225 of 522 Machine Learning Jobs in London

the instructions. For a further discussion, please contact Sam Stark - 83Zero 83DATA is a boutique consultancy specialising in Data Engineering and Architecture | Data Science (ML, AI, DL) | Data Visualisation | RPA within the UK. We provide high quality interim and permanent senior DATA professionals. Placing the people behind the DATA more »

the instructions. For a further discussion, please contact Sam Stark – 83Zero 83DATA is a boutique consultancy specialising in Data Engineering and Architecture | Data Science (ML, AI, DL) | Data Visualisation | RPA within the UK. We provide high-quality interim and permanent senior DATA professionals. Placing the people behind the DATA more »

comfortable with picking up new technologies independently. Enjoy helping teams push the boundaries of analytical insights, creating new product features using data, and powering machine-learning models. Have a strong background in developing distributed systems with experience in scalable data pipelines Familiar with big data technologies like Spark … documentation and data debugging skills. Excel at taking vague requirements and crystallizing them into scalable data solutions Excited about operating independently, demonstrating excellence, and learning new technologies and frameworks NICE TO HAVE: Experience in Databricks is a plus Crypto domain experience or interest WHO WE ARE: Do Your Best … Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter more »

in the development of good quality well thought-out code. Peer reviewing the design and code of others and contributing to a community where learning and feedback is valued. Integration, defect analysis and resolution to assist the verification teams with their work. Progression of assigned stories and tasks in … sprint planning and retrospectives. Required Experience: Experience in C++ development Experience in multi-threaded design Experience in signal processing and/or AI/ML techniques Experience of UML design techniques Experience knowledge of the full software development lifecycle Experience Machine Learning experience would be an advantage. Experience more »

team. This role involves developing a cutting-edge desktop application and its associated Python backend. The app enables users to deploy, use, and build ML models collaboratively and perform data analytics in a privacy-preserving manner. The application runs on the user’s hardware, posing unique challenges in maintaining flexibility … Role Python : Proficiency in Python and Python unit testing + 5 years MLOps : Experience with machine learning operations, including training and deploying ML models. Automated Testing Frameworks : Knowledge of frameworks that contribute to continuous integration pipelines. Container Technologies : Experience with tools such as Docker. Desktop Application Development : Familiarity … with developing and deploying desktop applications. DevOps Practices : Understanding modern DevOps practices, version control systems (e.g., Git), and CI/CD pipelines. ML Frameworks : Experience with PyTorch, TensorFlow, or NumPy. More about you: An experienced engineer with a track record in modern software engineering and DevOps practices. Passionate about performance more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a stable … model development and production and the alignment with model governance, business, and regulatory standards. oMaster's degree, in numerate subject or equivalent experience/learning developed in a similar role (e.g., Mathematical, Data Science, Computer Science, Physics, or related discipline). Desirable Advanced knowledge and practical experience of developing more »

Referment has partnered with a trading and insurance company in London who specialise in using the latest Quantitative methods and AI/Machine Learning Concepts to run risk analytics for their industry leading clients. They are seeking a Software Developer who is skilled in Python to build out more »

computer graphics and/or game engines technologies Preferred Qualifications * Designing and implementing real-time pipelines. * Designing and implementing data pipelines for CV/ML systems. * Experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M). * Experience more »

generation data experience for scientists, engineers, and decision-makers - increasing productivity, and reducing time spent on "data mechanics" Provide best-in-class AI/ML and data analysis environments to accelerate predictive capabilities and attract top-tier talent Aggressively engineer data at scale to unlock the value of our combined more »

hires. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and Deep Learning skills Experience of working and deploying at scale Knowledge Graph and entity linking experience General RecSys experience If more »

estates across various sectors, including printmaking, book publishing, NFTs, digital content, and art research – all underpinned by cutting-edge research in analytics, AI, and machine learning. Our team comprises of talented web developers, data engineers, data scientists, and infrastructure specialists who thrive on solving complex problems. We enjoy developing … machine learning tools and embracing the latest in infrastructure and coding methodologies. We maintain high standards of technical quality via thorough testing and a dedication to clean, efficient code. HENI’s mission is to make art accessible to everyone, by giving people the chance to learn about and more »

insights to help them harness the full potential of AI within their organizations. Mentoring and guiding junior team members, fostering a culture of continuous learning and innovation. REQUIREMENTS: A Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline; advanced degree preferred. Demonstrated success in designing and … delivering AI solutions within the insurance domain , with hands-on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business more »

package managers (Webpack, npm, etc.). Excellent problem-solving skills and the ability to work both independently and collaboratively in a team environment with machine learning projects, automation, and data-centric architecture. Required: Proficiency in .NET Core for backend development. Expertise in React for frontend development. Strong understanding … microservices architecture. Familiarity with cloud platforms (Azure, AWS, or GCP). Understanding of CI/CD pipelines for automated testing and deployment. Passion for learning and adapting to new technologies. Benefits 25 days annual leave in addition to Bank holidays. Hybrid working pattern; 3 days a week in the more »

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for … Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and 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 »

and growing AdTech company as they expand into European markets (they dominate the UK market with a 90% market share) with their AI and Machine Learning driven SaaS platform. As a Senior Full Stack Developer you'll have a range of interesting projects to work on, with roughly … above in Computer Science or similar technical discipline What's in it for you: Salary to £85k Pension Health Insurance 25 days holiday Continual learning and career development opportunities Apply now to find out more about this Senior Full Stack Developer/Engineer (React TypeScript C#) opportunity. At Client more »

causaLens is the pioneer of Causal AI — a giant leap in machine intelligence. We are on a mission to build truly intelligent machines , machines that truly understand cause and effect— it’s hard but super fun! If you want to build the future and are looking for a place … a plus Experience in supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or public sector is a plus About causaLens Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the more »

data. Implement data integration strategies leveraging Azure SQL Databases to ensure data quality and consistency across diverse sources. Drive the development of algorithms and machine learning models for predictive analytics and insights using Alteryx. Collaborate with cross-functional teams to translate business needs into technical solutions, utilizing GitLab more »

processes by implementing quality checks and balances. Collaborate with cross-functional teams including data scientists, analysts, and stakeholders to understand their data needs. Support machine learning model deployments by ensuring seamless access to quality datasets. Troubleshoot complex issues arising from extensive big-data environments. Maintain comprehensive documentation of more »

processes by implementing quality checks and balances. Collaborate with cross-functional teams including data scientists, analysts, and stakeholders to understand their data needs. Support machine learning model deployments by ensuring seamless access to quality datasets. Troubleshoot complex issues arising from extensive big-data environments. Maintain comprehensive documentation of more »

etc. " DevOps experience - CI/CD, Test Automation, Containerization - tools and processes " Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. " In-depth, hands-on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech more »

have had exposure to some of the following; Predictive modelling Attribution modelling Multivariate model developments Geographical analytics Text mining and content analytics Conjoint analysis Machine learning processes Data manipulation language; such as Python, R or similar Experience using website analytics packages (i.e. GA) Familiar with digital tracking technologies more »

a fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. About you: Our team is our more »

Technology/Business Analyst/Business Analytics/Software/SaaS/Insurance/InsurTech/Analyst/Graduate/Data/AI/ML/Artificial Intelligence/Machine Learning Are you a Maths champion, recent STEM graduate looking for a long-term career opportunity? Parlez-vous more »

into valuable insights for our customers Collaborative Innovation: Work closely with our skilled algorithm engineers, translating conceptual ideas and theoretical knowledge of statistics and machine learning into well-structured solution definitions. Quality Assurance: Meticulously test and refine models to ensure they adhere to the highest standards of reliability … guidance for both internal teams and clients. Knowledge Exchange: Engage in thought-provoking discussions with other subject matter experts, fostering a culture of continuous learning and innovation. A Day in the Life of a Forecasting Analyst at Gorilla Imagine starting your day diving into the latest energy market trends … you can leave your mark - growing alongside Gorilla. We actively challenge ourselves and our colleagues, to always improve our skills, methodologies, and capabilities. Lifelong learning is essentially embedded in our organization, and we care about your dreams and ambitions, beyond just work. On top of that, our remuneration approach more »