101 to 125 of 1,384 Machine Learning Jobs in the UK

cloud-based data services, balancing performance and cost across storage and compute capabilities. Mentor and guide junior data engineers, fostering a culture of continuous learning and growth. Stay up-to-date with the latest data engineering technologies, tools, and best practices. Qualifications: Bachelor's degree in Computer Science, Engineering … Expertise in designing and optimizing SQL and NoSQL databases. Familiarity with stream processing technologies. Deep understanding of data architecture considerations. Experience deploying AI or machine learning models into production. If of interest, please send your CV now to apply more »

Cloud Functions Cloud Storage Pub/Sub IAM Management Looker Data Studio Coding experience with Python/Javascript/C# Familiarity with statistical/machine learning/AI concepts and techniques Understanding of data pipeline/orchestration tools e.g. dbt, dataform Appreciation of GCP’s serverless technologies e.g. more »

/Qualifications Degree, ideally in computer science, IT, statistics, analytics, mathematics or other related field. Proven experience in data engineering, data analysis/processing, machine learning techniques, data warehouses, data pipelines, preferably in a Financial Services or Wealth Management environment. Systems/Internal Processes Familiarity with programming languages more »

Golang. Focusing on APIs, databases and asynchronous messaging. Your code will run on both pitch side and cloud servers. You will be exposed to machine learning techniques and algorithms for detecting and classifying complex sporting events in real-time, streaming data, networking and CI/CD. You’ll more »

in shaping our pricing & content strategies, engagement tactics and to help optimize our customer experiences. Your findings will empower our teams and direct our machine learning algorithms to make well-informed decisions that resonate with our online audience. Experience across the above industries or any disruptive technology brand 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 »

working with others. Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statistical modelling experience Comprehensive knowledge of the Visual Studio development/SQL Management Studio environments What we offer Competitive salary Great … learning and development plan Microsoft certifications paid for and supported by Mercury Permanent Health Insurance (PHI) Health Cash Plan Critical Illness Cover Electric Car Vehicle Scheme 4% Employer Pension Contribution 25 days holiday per year 1 full extra day “free holiday” on your Birthday Free parking Buy/sell 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 »

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 … for the RolePython: Proficiency in Python and Python unit testing + 5 yearsMLOps: 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 … modern software engineering and DevOps practices.Passionate about performance and reliability, with a focus on code quality and testing.Ready to lead initiatives to improve the ML framework's reliability and performance across various hardware and OS configurations.Experienced in a cloud setting but eager to apply skills to enable training and running 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 »

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 »

think is required! Skills desired/what you will learn: Microsoft Azure Azure SQL Microsoft Fabric Delta Lake, Databricks and Spark Statistical Modelling Azure ML Studio Python and familiarity with libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, sci-kit-learn, Pandas). Microsoft Power more »

results into valuable insights for our customersCollaborative 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 and … clear 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 GorillaImagine starting your day diving into the latest energy market trends, extracting key … pace, 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 is 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 »

life cycle right through to production2.1 degree form a Top University in a relevant fieldAlgorithmic development backgroundStrong problem solvingSoftware Engineer - Nice to HaveExperience with Machine Learning (Computer Vision preferred)Cloud technologies (GCP/AWS/Azure)Knowledge of 3D modelling/3D Computer Vision/BlenderInterested in the more »

production 2.1 degree form a Top University in a relevant field Algorithmic development background Strong problem solving Software Engineer - Nice to Have Experience with Machine Learning (Computer Vision preferred) Cloud technologies (GCP/AWS/Azure) Knowledge of 3D modelling/3D Computer Vision/Blender Interested in more »

propel business growth and heighten customer satisfaction. Key Responsibilities: Develop and execute a robust data strategy aligned with organisational goals, employing advanced analytics and machine learning methodologies. Oversee the conception, implementation, and maintenance of scalable data infrastructure and pipelines, ensuring data reliability, efficiency, and accessibility. Provide leadership and more »

system and process design and implementation. Data quality system and process design and implementation. Major focus on data science, data visualization, artificial intelligence and machine learning Documentation of solution (e.g. data modelling, configuration, and setup etc.) including HLD and LLD. Qualifications Hands on experience with data solution architecture more »

mindset for release purposes Desirable: Proven experience with Oracle ODI Familiarity with Snowflake Experience with collaboration tools i.e., Atlassian products (Jira, Confluence) Understanding of machine learning or data science Experience working on the cloud, preferably with AWS Practical understanding of AWS Code Family Reporting layer experience with OAS more »

Business Analysts.Work closely with senior development and DevOps team members to architect optimal solutions for data processing and platform delivery.Integrate and adopt AI/ML tools in collaboration with Data Science and Data Engineering teams.Mentor junior team members and review code outputs to ensure quality and adherence to coding standards.Qualifications more »

Work closely with senior development and DevOps team members to architect optimal solutions for data processing and platform delivery. Integrate and adopt AI/ML tools in collaboration with Data Science and Data Engineering teams. Mentor junior team members and review code outputs to ensure quality and adherence to coding more »

tools. Analytical mindset and attention to detail. Effective communication and collaboration skills. Preferred: Familiarity with scripting languages (Python, R) for data analysis. Exposure to machine learning concepts for predictive analytics. Understanding of ETL processes and data warehousing. Ability to work with stakeholders to understand business requirements and translate … them into data solutions. Continuous learning mindset to stay updated on industry trends and emerging tools. Benefits 25 days annual leave in addition to Bank holidays. Hybrid working pattern Company pension scheme. Life and medical insurance, and eyecare scheme. Employee Assistance Program. Cycle to work scheme. Family-friendly policies. more »

and will get to work across Python, Java and C# languages and frameworks. You would be working with a variety of engineers across software, machine learning and AI Experience High level of technical experience across 2 or more modern engineering languages such as Python, Java, C# Good knowledge more »

The Role: The successful candidate will work on all aspects of our client's data architecture, collection, pipelining, governance, and security. This extends to machine learning deployments, financial benchmark production, and internal auditing of data quality and integrity. The Tech: Python: Strong proficiency, including experience with libraries like more »

databasesFamiliarity with cloud services (preferably GCP) and understanding of its ETL frameworks.Desired: experience with data pipeline and workflow management (Airflow, Composer).Desired: Familiarity with machine learning algorithms and data science principles is a plus.QualificationsDegree in Computer Science, Engineering, or related field.Excellent communication skills, adept at remote collaboration. more »