351 to 375 of 12,588 Machine Learning Jobs in the UK

solutions on AWS. You'll work closely with cross-functional teams including Data Science, BI, and Product Analytics to develop cloud-native, scalable data infrastructure powering advanced analytics and machine learning. As a Senior Engineer, you'll not only deliver code you'll take ownership, lead small teams, mentor others, and contribute to shaping our engineering culture and best … Incentive scheme up to 10% of annual salary, based on company performance. Your wellbeing is paramount so you can get away and take 33 Days Holiday per year. Learning and Development opportunity with Holland & Barrett is a great base for career development long term. Private Medical Care (Self after 1 year) Career progression. Refer and Earn Scheme - as we … London, England, United Kingdom 2 days ago Business Data Architect – Keying and Linking Senior Software Engineer, Robotics & Microscope Control London, England, United Kingdom 3 weeks ago Senior AI/ML Engineer (Data Science & Software Focus) London, England, United Kingdom 2 weeks ago City Of London, England, United Kingdom 1 month ago London, England, United Kingdom 1 month ago Data Architect More ❯

empower our internal operations and drive business value. You’ll Spend Your Time: Building and maintaining internal AI systems: Develop and maintain software pipelines for training, deploying, and monitoring machine learning and Gen. AI projects used for various internal tasks (e.g., knowledge management, data analysis, process automation, decision support). Optimizing AI infrastructure: Collaborate on optimizing our AI … Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure. Good knowledge and experience with generative AI concepts, frameworks and models (e.g., Langchain, OpenAI). Good knowledge and experience with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch). Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a More ❯

collection, cleansing, and analysis of data from diverse sources Identify trends, patterns, and actionable insights to drive decision-making and solve complex business problems. 3. Statistical & Mathematical Modelling and Machine Learning/AI Support the development ofpredictive models, to forecast trends and outcomes Support the development and implementation of machine learning algorithms to address specific business … collaborating with cross-functional teams to implement long-term solutions. Skills & Experience: 1. Experience Over 3 years-experience in delivering Data Science projects using Python programming language, statistical and machine learning techniques, time series analysis and data visualisation and insight analysis. 2. Qualifications A Degree in Data Science, Computer Science, a related field or relevant professional experience 3. … break. Flexible work environment : Hybrid working model with flexible hours. Comprehensive perks: Annual bonus scheme, pension, regular social events, birthday treats, and a volunteering policy. Growth opportunities : Lots of learning and development opportunities More ❯

connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialise in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernisation of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer … and maintain strong relationships with customers, understanding their business challenges and providing tailored solutions. Data Science Expertise: Apply diverse data science techniques across multiple industries and use cases, including machine learning, data visualization, natural language processing (NLP), application development (e.g. Shiny), MLOps, and generative AI (GenAI). Develop and deploy advanced data science models and algorithms to solve … complex business problems. Mentor and guide junior data scientists, fostering a culture of continuous learning and innovation. Industry Expertise and Innovation: Serve as an industry vertical expert such as the financial sector, pharmaceuticals, retail, and FMCG. Acquire insights to help shape capability development and drive innovation within the organization. Network with industry professionals and thought leaders to foster collaboration More ❯

field. Strong proficiency in programming languages such as Python or R. Experience with SQL and familiarity with database management practices to handle and query large datasets efficiently. Knowledge of machine learning frameworks like TensorFlow or PyTorch and libraries such as scikit-learn. Proficiency in using data analysis and visualization tools to interpret data and present insights effectively. Proven … organization. As the Ideal Candidate, you should have: Analytical Mindset, Curiosity, and Inquisitiveness. Problem-Solving Skills. Attention to Detail. Adaptability and Communication Skills. Patience and Persistence. Experience with advanced machine learning techniques such as deep learning, natural language processing (NLP), or reinforcement learning. Experience in using advanced features of cloud platforms (AWS, Azure, Google Cloud) such as … machine learning services and automated data pipeline tools. Familiarity with big data frameworks like Hadoop or Spark is beneficial. Skills in advanced data visualization tools and software beyond basic reporting—such as Tableau, Power BI, or even more sophisticated interactive web visualization frameworks like D3.js. Benefits 15 Days paid off + local/US Bank holidays. Up to More ❯

of interactions each day across 145 markets from visitors to our digital channels and connected cars. For this we are looking for a hands-on Data Scientist with advanced machine learning skills combined with practical business acumen. AI & Machine Learning Model Development Develop, test, and deploy AI and machine learning models for integration into … data governance teams to maintain compliance and implement ethical AI practices. Skills & Experience Required Proven experience in Data Science, Advanced Analytics, and Statistical Modeling. Expertise in supervised and unsupervised machine-learning algorithms, including Decision Trees, Random Forest, CatBoost, Clustering techniques (K-means, DBSCAN, etc.), and Time Series Forecasting. Knowledge of cloud platforms (GCP, AWS, or Azure) and version … explaining technical concepts to non-technical audiences. Experience in developing Large Language Models is a plus. Degree in Data Science, Computer Science, or a related field. Experience in productionizing machine learning models and working with APIs for data extraction. Experience with NLP including Text Classification, Sentiment Analysis, and Topic Modelling using tools like NLTK, BERT, and GCP NLP More ❯

the collection, cleansing, and analysis of data from diverse sources Identify trends, patterns, and actionable insights to drive decision-making and solve complex business problems. Statistical & Mathematical Modelling and Machine Learning/AI Support the development of predictive models, to forecast trends and outcomes Support the development and implementation of machine learning algorithms to address specific … issues, collaborating with cross-functional teams to implement long-term solutions. Skills & Experience: Experience Over 3 years-experience in delivering Data Science projects using Python programming language, statistical and machine learning techniques, time series analysis and data visualisation and insight analysis. Qualifications A Degree in Data Science, Computer Science, a related field or relevant professional experience Analytical skills … break. Flexible work environment: Hybrid working model with flexible hours. Comprehensive perks: Annual bonus scheme, pension, regular social events, birthday treats, and a volunteering policy. Growth opportunities: Lots of learning and development opportunities Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Information Services Referrals increase More ❯

Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence to outperform traditional competition. The firm builds upon its rapidly expanding research team of exceptional PhD computer scientists, software engineers, mathematicians & physicists, to use a unique multi-disciplinary … mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence/Machine Learning, with a steep learning curve and an unmatched research experience. Time Commitments: 100% (average 40 hours per week More ❯

Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence to outperform traditional competition. The firm builds upon its rapidly expanding research team of exceptional PhD computer scientists, software engineers, mathematicians & physicists, to use a unique multi-disciplinary … mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence/Machine Learning, with a steep learning curve and an unmatched research experience. Time Commitments: 100% (average 40 hours per week More ❯

from AI investments Ideate, design and implement AI-enabled marketing solutions such as customer segmentation models, recommendation systems and campaign optimization algorithms Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices Monitor and manage model performance, including addressing issues related to explainability, data drift and model drift Develop and implement marketing measurement … AI regulatory risks, particularly in the context of the EU AI regulatory framework Maintain up-to-date knowledge of industry trends, emerging technologies and regulatory changes impacting AI/ML, particularly in the marketing domain Support pre-sales activities including client presentations, demos and RFP/RFI responses Requirements Bachelor’s or Master’s degree in Data Science, Computer Science … chatbots and content generation Proven experience in marketing-focused data science projects, such as customer segmentation, campaign performance analytics and predictive modeling for marketing strategies Familiarity with AI/ML tools and platforms commonly used in marketing data science, such as Tableau, Power BI, Google Analytics, HubSpot or Salesforce Marketing Cloud Strong understanding of ML Ops principles and experience in More ❯

Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence to outperform traditional competition. The firm builds upon its rapidly expanding research team of exceptional PhD computer scientists, software engineers, mathematicians & physicists, to use a unique multi-disciplinary … mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence/Machine Learning, with a steep learning curve and an unmatched research experience. Time Commitments: 100% (average 40 hours per week More ❯

to apply for the Senior Software Engineer role at Applied Data Science Partners 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 … 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 ❯

Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence to outperform traditional competition. The firm builds upon its rapidly expanding research team of exceptional PhD computer scientists, software engineers, mathematicians & physicists, to use a unique multi-disciplinary … mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence/Machine Learning, with a steep learning curve and an unmatched research experience. Time Commitments: 100% (average 40 hours per week More ❯

Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence to outperform traditional competition. The firm builds upon its rapidly expanding research team of exceptional PhD computer scientists, software engineers, mathematicians & physicists, to use a unique multi-disciplinary … mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence/Machine Learning, with a steep learning curve and an unmatched research experience. Time Commitments: 100% (average 40 hours per week More ❯

Engineer role at Allianz UK Get AI-powered advice on this job and more exclusive features. Role Description In this role, you will be instrumental in creating fully operational machine learning products aimed at solving problems at the core of our business. Your engagement will encompass all phases of these projects, including liaising with business subject matter experts … model extract generation, deployment, and ongoing monitoring. Role Description In this role, you will be instrumental in creating fully operational machine learning products aimed at solving problems at the core of our business. Your engagement will encompass all phases of these projects, including liaising with business subject matter experts, model extract generation, deployment, and ongoing monitoring. Additionally, you … is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package. About You Building and monitoring end-to-end machine learning solutions deployed onto Azure. Creating data extracts to address complex business challenges, and collaborating across teams for all aspects of project delivery. Developing CI/CD processes More ❯

Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence to outperform traditional competition. The firm builds upon its rapidly expanding research team of exceptional PhD computer scientists, software engineers, mathematicians & physicists, to use a unique multi-disciplinary … mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence/Machine Learning, with a steep learning curve and an unmatched research experience. Time Commitments: 100% (average 40 hours per week) #J-18808-Ljbffr More ❯

looking for a Data Scientist, this role plays a crucial role in delivering the generative artificial intelligence (GenAI) solutions for our clients. This position requires a deep understanding of machine learning, natural language processing, and generative models, combined with problem-solving skills and a passion for innovation. Possessing a deep understanding of AWS products and services, as a … endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. - 4+ years of experience in developing and deploying machine learning models, with a strong focus on generative AI … techniques. - Proficiency in programming languages such as Python, PyTorch, or TensorFlow, and experience with deep learning frameworks. - Strong background in natural language processing, computer vision, or multimodal learning. - Ability to communicate technical concepts to both technical and non-technical audiences. PREFERRED QUALIFICATIONS - Experience with large language models, such as Claude, GPT, BERT, or T5. - Familiarity with reinforcement learning More ❯

extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role The Data Science team drives the use of data, machine learning & AI to enhance internal decision-making and creates hyper-personalised customer experiences. Team members tackle diverse business challenges and explore various modelling paradigms. This dynamic environment provides … data using domain-specific/agnostic techniques Analysing data to support ad-hoc business decisions Running proof-of-concepts to test feasibility and value Building and deploying production-ready machine learning models Monitoring model performance for long-term accuracy Being at the forefront of integrating LLMs across the business, driving innovation and efficiency Managing stakeholders to balance ambitious … Computer Science, Data Science, or related field 3-5 years of experience in data science roles Creative problem-solving and solution scoping Strong grasp of mathematical, statistical concepts, and machine learning algorithms Proficiency in Python and data science libraries for example NumPy, Pandas, Scikit-learn, Keras SQL proficiency Experience with cloud environments for example Google Cloud Platform Version More ❯

and broader marketing and sales data. These reveal fresh insights for our clients; helping them to build better products and brands, to deliver effective marketing to consumers. Our software, machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based … empower consumer facing businesses and their insights & analytics functions Marketing Data Science & Personalisation : using first party consumer data to understand each client's consumer base, building personalisation and other machine learning models to better engage with and excite consumers Data Engineering & Data Architecture : data engineering across a variety of tools to integrate these leading technologies into optimised and … we continue to grow, playing a key part in maintaining our Technology Team's competitive edge. We are looking for a passionate and ambitious data scientist, enthusiastic about continuously learning through exploring and experimenting with trends in data science and NLP, with a keen interest in applying innovative approaches to digital consumer data sources for the benefit of Curve More ❯

translate them into effective machine learning solutions. Conduct exploratory data analysis, feature engineering, model development and evaluation. Work with infrastructure & product engineers to productionize models and new ML based features. Actively monitor and improve production models through feature engineering, rules and ML modeling. Participate in code reviews and ensure high quality and maintainability of ML systems. Stay updated … Proficiency with Python and machine learning toolkits like pandas, scikit-learn, and optionally pytorch/tensorflow. Experience with machine learning operations (MLOps) and productionization of ML models. Familiarity with building data and metric generation pipelines, using tools like SQL or Spark, to answer business questions and assess system efficacy. Ability to communicate complex technical ideas in … a clear, non-technical manner. Optional Skills: Familiarity with LLMs Previous experience in Cybersecurity Previous experience with Airflow or similar ML pipeline orchestration tools Experience with large scale ML system and data infrastructure Previous experience in behavioural modeling techniques PhD or equivalent proven experience in ML research Familiarity with cloud computing platforms (AWS, Azure More ❯

Support Marketing with developer marketing and evangelism activities, including writing blogs, participating in demo-driven webinars, and speaking at industry events Stay updated on the latest Agentics, AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects. Requirements Qualifications/Experience/Technical Skills Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development. Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects. 06-10 years of pre-sales experience in a SaaS/iPass organization. Familiarity with LLMs and has directly interacted with the development or support of More ❯

Senior Data Engineer (Remote) role at Circana Join to apply for the Senior Data Engineer (Remote) role at Circana At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal … Spark and PySpark. Implement data partitioning, caching, and performance tuning techniques to enhance Spark-based workloads. Work with diverse data formats (structured and unstructured) to support advanced analytics and machine learning initiatives. Workflow Orchestration (Airflow): Design and maintain DAGs (Directed Acyclic Graphs) in Apache Airflow to automate complex data workflows. Monitor, troubleshoot, and optimize job execution and dependencies … development environments. A track record of working effectively global remote teams Desirable: Experience with data modelling and data warehousing concepts. Familiarity with data visualization tools and techniques. Knowledge of machine learning algorithms and frameworks. Circana Behaviours As well as the technical skills, experience and attributes that are required for the role, our shared behaviours sit at the core More ❯

Foster a culture of innovation, collaboration, and continuous learning within the team. Emerging Technologies: Stay abreast of emerging technologies, tools, and industry trends in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data … environments and balance long-term strategy with short-term execution. Preferred Qualifications: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.). Experience with AI/ML technologies and data science platforms. Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). What can you expect from Mars? Work with diverse and talented Associates … all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all More ❯

Cloud and Big Data Technologies. Extensive experience with Databricks. Familiarity with cloud data warehouses (AWS, Azure, GCP, or Snowflake). Additional Desirable Skills MLOps experience advantageous. Knowledge of advanced machine learning algorithms and statistics. Experience in Natural Language Processing. CI/CD knowledge. Experience with JIRA/Asana for project management. Familiarity with Airflow, Fivetran, Matillion, or other … work environment focused on innovation and personal growth. As a rapidly expanding company, we provide: A phenomenal company culture that values diversity and work-life balance. Opportunities for continuous learning and career advancement. Comprehensive benefits package, including Vitality Health, Perkbox, and Nest Pension. Join our team of passionate innovators and contribute to our mission of being the benchmark for More ❯

a career in technology and data at Fitch? Join a high-performing and collaborative team focused on delivering impactful employee experience and risk technology solutions. The environment emphasizes continuous learning, innovative problem-solving and balanced work-life integration. Gain exposure to emerging technologies while contributing to meaningful transformation projects. How You’ll Make an Impact: Act as a senior … seamless deployment of SaaS applications in a fast-paced environment. Develop performance dashboards and reporting tools to track operational effectiveness. Contribute to full-stack solutioning that incorporates AI/ML workflows to streamline business operations. Embrace a hands-on, “roll-up-the-sleeves” approach to debugging, optimizing, and enhancing technical systems. You May be a Good Fit if: Holds a … experience in SaaS product configuration, administration, QA, and enterprise-level development. Skilled in cloud-based, event-driven microservices architecture, preferably using AWS serverless technologies. Experienced in embedding AI/ML APIs into scalable platforms for automation and insight generation. Knowledgeable in GRC systems, with a strong grasp of compliance and regulatory technology best practices. Demonstrates strong problem-solving and critical More ❯