326 to 350 of 12,591 Machine Learning Jobs in the UK

analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor … Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take. Technical … Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with More ❯

analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor … Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take. Technical … Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with More ❯

analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor … Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take. Technical … Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with More ❯

analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor … Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take. Technical … Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with More ❯

analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor … Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take. Technical … Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with More ❯

Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning … technical subjects Requirements and Skills Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related field. 6+ years of professional experience in Data Science/Machine Learning/Quant, including in the Financial Services sector Hands on project lifecycle experience, from business requirements gathering to testing production release Strong coding experience in Python to … predictive task involving text Ability to quickly acquire new technical skills Experience of working with large and complex data sets and distributed computing Good understanding of mathematical foundations of Machine Learning approaches Able to translate business problems into problems that can be solved with Data Science Strong communication and data science project leadership skills Desirable Skills Good familiarity More ❯

team of experts to solve complex business challenges using cutting-edge AI technologies. KEY RESPONSIBILITIES Design and architect solutions using state-of-the-art frameworks and cloud technologies Build machine learning models for marketing attribution, predicting customer propensity, segmenting … customer groups based on behavioural data, and recommending products and/or content. Fine-tune Large Language Models to business-specific use cases. Deploy MLOps pipelines together with our ML engineers. Work closely with data engineers, fellow data scientists/AI engineers and consultants to ensure seamless integration and deployment of AI solutions that create business impact. Communicate with clients … AI solutions. WHAT WE ARE LOOKING FOR Degree in Computer Science, Data Science, Information Management, or a related field. 3+ years of experience in AI development. Strong understanding of machine learning, deep learning, and other AI techniques. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Experience with data processing and analysis tools (e.g., Pandas More ❯

analyst and data science community. · Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. · Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploymachine learning models and algorithms aimed at addressing specific business challenges and opportunities. · Coach and mentor the team … Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. · Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. · Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take. Technical … Test. · Comfortable writing efficient SQL and debugging. · Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. · Hands-on IaC development experience with Terraform or CloudFormation. · Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. · Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) · Familiarity with More ❯

team of experts to solve complex business challenges using cutting-edge AI technologies. KEY RESPONSIBILITIES Design and architect solutions using state-of-the-art frameworks and cloud technologies Build machine learning models for marketing attribution, predicting customer propensity, segmenting … customer groups based on behavioural data, and recommending products and/or content. Fine-tune Large Language Models to business-specific use cases. Deploy MLOps pipelines together with our ML engineers. Work closely with data engineers, fellow data scientists/AI engineers and consultants to ensure seamless integration and deployment of AI solutions that create business impact. Communicate with clients … AI solutions. WHAT WE ARE LOOKING FOR Degree in Computer Science, Data Science, Information Management, or a related field. 3+ years of experience in AI development. Strong understanding of machine learning, deep learning, and other AI techniques. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Experience with data processing and analysis tools (e.g., Pandas More ❯

systems Oversee the delivery of complex data-related projects, ensuring timely completion, quality, and adherence to budget and resource constraints Foster a culture of collaboration, knowledge-sharing, and continuous learning within the Data Engineering team Mentor junior engineers, providing guidance and support in their professional development Ensure compliance with data security and privacy policies, and implement appropriate access controls … with data engineering Strong hands-on knowledge of data platforms and tools, including Databricks, Spark, and SQL Experience designing and implementing data pipelines and ETL processes Good knowledge of ML ops principles and best practices to deploy, monitor and maintain machine learning models in production Familiarity with Git CI/CD and MLflow for managing and tracking code … in production Experience with container technologies (such as Docker) and orchestration technologies (such as Kubernetes) Experience working in ecommerce or retail industries An understanding of security measures related to ML models ensuring adherence to data privacy regulations YOU (BEHAVIOURAL SKILLS) Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data infrastructure issues Proficient collaborating with More ❯

collaboration and communication skills, with experience working with external vendors and senior management. Deep understanding of business drivers and processes, with the ability to relate segment priorities to technology. Learning agility and a desire to learn new technologies. Proven ability to influence and deliver results in a matrixed organization. Key Responsibilities Design, develop, optimize, and maintain data architecture, strategies … Evaluate and deploy emerging data tools and platforms across Demand, Supply, R&D, and Commercial functions. Develop communication and education plans on analytics and data engineering capabilities. Partner with ML engineers, BI, and solution architects on technical architectures for enterprise projects. Learn about machine learning, data science, AI, and related fields. What can you expect from Mars? Work … with diverse, talented associates guided by the Five Principles. Be part of a purpose-driven company committed to building a better tomorrow. Access to top-tier learning and development, including Mars University. Competitive salary and benefits, including bonuses. Mars is an equal opportunity employer. We provide accommodations for applicants with disabilities upon request. #J-18808-Ljbffr More ❯

led to data-led, enhancing efficiency and customer experience. We seek someone passionate about data and advanced analytics, willing to challenge the status quo, and proficient in AI/ML in a commercial setting. The ideal candidate is creative, curious, and logical in problem-solving. This is an excellent opportunity to join a dynamic, supportive team working on diverse insurance … and to determine how we best comply with new and upcoming regulations. Work with colleagues to determine the required sources and how they are best used. Use AI/ML and data science techniques to reduce the need for manual work in the People Function space, including analysis of structured numerical data and application of LLMs and similar tools to … as a role model to maintain a culture of curiosity, support and honesty. Nice to have: Knowledge of R or other programming languages Knowledge of current UK AI/ML compliance and regulation. Experience with AWS Sagemaker Experience with Snowflake Experience with Databricks As an inclusive employer, we want to ensure that all candidates feel comfortable and can perform at More ❯

led to data-led, enhancing efficiency and customer experience. We seek someone passionate about data and advanced analytics, willing to challenge the status quo, and proficient in AI/ML in a commercial setting. The ideal candidate is creative, curious, and logical in problem-solving. This is an excellent opportunity to join a dynamic, supportive team working on diverse insurance … and to determine how we best comply with new and upcoming regulations. Work with colleagues to determine the required sources and how they are best used. Use AI/ML and data science techniques to reduce the need for manual work in the People Function space, including analysis of structured numerical data and application of LLMs and similar tools to … as a role model to maintain a culture of curiosity, support and honesty. Nice to have: Knowledge of R or other programming languages Knowledge of current UK AI/ML compliance and regulation. Experience with AWS Sagemaker Experience with Snowflake Experience with Databricks As an inclusive employer, we want to ensure that all candidates feel comfortable and can perform at More ❯

led to data-led, enhancing efficiency and customer experience. We seek someone passionate about data and advanced analytics, willing to challenge the status quo, and proficient in AI/ML in a commercial setting. The ideal candidate is creative, curious, and logical in problem-solving. This is an excellent opportunity to join a dynamic, supportive team working on diverse insurance … and to determine how we best comply with new and upcoming regulations. Work with colleagues to determine the required sources and how they are best used. Use AI/ML and data science techniques to reduce the need for manual work in the People Function space, including analysis of structured numerical data and application of LLMs and similar tools to … as a role model to maintain a culture of curiosity, support and honesty. Nice to have: Knowledge of R or other programming languages Knowledge of current UK AI/ML compliance and regulation. Experience with AWS Sagemaker Experience with Snowflake Experience with Databricks As an inclusive employer, we want to ensure that all candidates feel comfortable and can perform at More ❯

Social network you want to login/join with: Are you a talented and driven Data Scientist with expertise in machine learning and a passion for building robust pipelines for demand forecasting? We are seeking a skilled individual to join our dynamic team at Kraft Heinz. Join our team and make an impact by leveraging machine learning … business operations. What's on the Menu? As a Senior Data Scientist , you will be a key contributor on demand forecasting team. You will build and test statistical and machine learning models to accurately predict demand from our retailers. The models you build will be deployed into a production setting where your models will drive value across all … Product Owner and Data Science Lead on the progress of your work while partnering with the business users to identify modeling opportunity areas. Utilize your strong analytical skills and machine learning expertise to develop advanced time-series models for demand forecasting. Collaborate with cross-functional teams to identify and define business problems related to demand forecasting. Conduct exploratory More ❯

within Azure, ensuring efficiency, cost-effectiveness, and scalability, leveraging Azure Synapse Analytics, ADLS Gen2, and Databricks Workflows Data Modelling & Architecture – Implement robust data models to support analytics, reporting, and machine learning, using Delta Lake and Azure Synapse. Automation & Observability – Use Databricks Workflows, dbt, and Azure Monitor to manage transformations, monitor query execution, and implement data reliability checks. Data … preferred for advanced Spark applications). Experience working with Databricks Workflows & Jobs for data orchestration. Strong knowledge of feature engineering and feature stores, particularly in Databricks Feature store for ML training and inference. Experience with data modelling techniques to support analytics and reporting. Familiarity with real-time data processing and API integrations (e.g., Kafka, Spark Streaming). Proficiency in CI … using Azure DevOps, GitHub Actions, or Terraform for Infrastructure as Code (IaC). Understanding of MLOps principles, including continuous integration (CI), continuous delivery (CD), and continuous training (CT) for machine learning models. Experience with performance tuning and query optimisation for efficient data workflows. Strong understanding of query optimisation techniques in Databricks (caching, partitioning, indexing, and auto-scaling clusters More ❯

short term it will also involve development of the software product and collaboration with the clinical and scientific team. A strong software engineering background and knowledge in AI, especially Machine Learning and Natural Language Processing, is essential. For the right candidate, this is a senior technical position with scope to grow into a leadership role. Key technical responsibilities … the clinical team to understand data requirements and translate them into technical solutions. Collaborate with the AI team to provide clean, well-structured datasets for research, and AI/ML models. Stay up-to-date with the latest data engineering technologies and best practices. Mandatory Requirements Technical skills: A university qualification (Bachelors, Masters, Doctorate) with at least two years of … on large-scale, commercial software development projects is a plus. Experience with research communities and/or efforts, including having published papers (being listed as author) at AI/ML/NLP/CV conferences (e.g. Bio-IT, NeuraIPS, ICML, ICLR, ACL, CVPR and KDD) and journals. Experience and knowledge of deploying AI and Data solutions for healthcare and pharmaceuticals More ❯

minimizing technical debt. Create and maintain comprehensive technical documentation, sharing architectural insights, best practices, and references to facilitate knowledge transfer, onboarding, and organizational alignment. Cultivate a culture of continuous learning and knowledge sharing, actively contributing insights, best practices, and emerging technologies to inspire innovation, drive growth, and elevate the collective expertise of the team. Any additional duties as assigned. … with Agile teams, tools and best practices. Skills And Abilities Problem-solving. The ability to analyse complex problems, break them down into smaller components, and develop effective solutions. Continuous Learning & Improvement. Have a growth mindset and actively seek opportunities to expand knowledge and skills within their practice. Seek feedback, reflect on past experiences and identify opportunities for development. Communication. … Of London, England, United Kingdom £175,000.00-£185,000.00 3 weeks ago Senior Software Engineer (VP) – Equity Derivatives Technology London, England, United Kingdom 4 days ago Software Engineering Manager - ML Generalist London, England, United Kingdom 2 weeks ago City Of London, England, United Kingdom £100,000.00-£120,000.00 1 day ago Senior Lead Software Engineer - Team Lead - Accelerator Business London More ❯

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Glocomms AVP Recruitment Consultant - Hiring Data Science, Machine Learning, Data Engineering & Data Analytics experts across the EU Job title: Senior Data Solutions Architect Type: Contract Duration: 12 months Location: London, UK (Hybrid) Daily rate: DOE Description: We're working with a … . Oversee architecture management , driving continuous refinement and improvement of systems. Work with cutting-edge data technology stacks and cloud infrastructure, balancing foundational data solutions with emerging AI and ML capabilities . Collaborate with delivery teams and engineers to define project scopes and technical blueprints, facilitating smooth delivery of new functionalities in an agile environment . Assess system designs and More ❯

required: Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Azure Data Scientist Associate Active Databricks Certifications: At least one of the following is required: Data Engineer Associate or Professional ML Engineer Associate or Professional Experience in designing and implementing data governance frameworks and data quality processes. Experience working with large datasets and complex data landscapes. Familiarity with economic data and … skills. Strong analytical and problem-solving skills. Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with metadata management tools e.g. Purview. Knowledge of data science and machine learning concepts. Experience with API design and development. #J-18808-Ljbffr More ❯

Identify and implement advanced data processing techniques, algorithms, and statistical methods to optimize research workflows and enhance data analysis capabilities Leverage your expertise in software engineering, data engineering, and machine learning to build scalable and robust systems that facilitate large-scale data analysis and experimentation Conduct code reviews, provide technical guidance, and mentor junior research engineers to ensure … in Python, such as Dask or Ray Proficiency in data processing, analysis, and visualization leveraging best-in-class open source tools, libraries, and frameworks Solid understanding of statistical modeling, machine learning techniques, and their practical applications in quantitative research Solid understanding of the differences between L1, L2 and L3 market tick data Experience with AWS, Linux and Docker … Teaming (London or Paris) London, England, United Kingdom 2 weeks ago Fundamental AI Research, Dubbing - Research Scientist London, England, United Kingdom 2 weeks ago Research Scientist, Quantum Chemistry and Machine Learning, London London London, England, United Kingdom 2 weeks ago Machine Learning Scientists and Engineers: AI for Quantum London, England, United Kingdom 3 weeks ago London More ❯

Join our world-class team today and fulfill your career potential! The Opportunity As an AI Pre-Sales Scientist, you will communicate FICO's AI/Gen AI and machine learning/analytic methods and innovations to clients, supporting sales efforts for FICO's solutions that manage risk, combat financial crime, build profitable customer relationships, and meet regulatory … Do Enhance engagement with internal and external stakeholders on AI/Gen AI topics. Drive customer understanding of FICO's AI/Gen AI products, aligning customer needs with machine learning and analytic methods. Provide feedback for product development based on customer interactions. Participate in research to identify emerging AI/Gen AI trends and technologies to develop … What We're Seeking MSc in computer science, engineering, physics, statistics, mathematics, operations research, or natural sciences, with hands-on data science experience including AI/Gen AI and machine learning. Experience analyzing large data sets, data cleaning, and statistical analysis. Proven experience with at least three machine learning algorithms (e.g., neural networks, logistic regression, random forests More ❯

Fresh off the back of our large seed-stage investment round, we are looking for an experienced Machine Learning Engineer to lead our ML work streams, and translate product concepts and requirements into a mixture of: research tasks, proof-of-concept applications, and production-ready features. Key Responsibilities: Developing and refining advanced machine learning models for … build and maintain data engineering pipelines for downstream data analysis and training tasks against a data warehouse. Collaborating closely with the CTO, product designers, and engineering team to integrate ML models into the core product. Conducting research and staying up-to-date with the latest advancements in machine learning and computer vision relevant to our future roadmap and … feature ideas. Mentoring junior ML engineers and data scientists, fostering a collaborative and innovative team culture. Working with the product team to understand user needs, testing and iterating on features to improve the user experience. Requirements: 5+ years of hands-on experience in machine learning, with a focus on deep learning, image generation, and/or computer More ❯

programs. Align with our industry partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify new and innovative … opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client … functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big More ❯

We are looking for a Senior Software Engineer to lead the design, development, and implementation of machine learning models, build scalable applications, and optimise workflows.Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution … implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability Build processes for extracting, cleaning and transforming data (SQL/Python) Optimize model parameters and architectures for maximum efficiency and accuracy … Ensure seamless integration of AI solutions with existing systems and applications Stay updated with the latest advancements in AI and machine learning Present findings to clients through written documentation, calls and presentations Be an example of software engineering best-practice e.g. Git/Docker/cloud deployment Contribute to proposals for exciting new data science opportunities Provide direction More ❯