1,676 to 1,700 of 10,984 Machine Learning Jobs in the UK

a Service and Technology innovation in the Retail & Manufacturing industry. This role is core to creating the future for how our platform evolves to support leveraging Generative AI and Machine Learning technology to evolve our organization’s ways of working every day. In this role, you will research, define, & design to innovate and evolve NIQ’s product opportunities. … compelling way Solid communication skills, including the ability to influence key stakeholders and interface with clients Solid experience in data and database modeling Solid experience in applying AI and ML technologies Industry leader in in FMCG and/or Retail industry is a plus Good understanding of technical concepts, services and implementations Excited to ideate on new challenges while simultaneously … working in the gray or unknown - defining the undefined, challenging the status quo, and solving uncharted business challenges Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to More ❯

of-Value (POV) projects aligned to customer outcomes. Act as a trusted advisor on AI strategy and architecture, working with stakeholders from C-level execs to data scientists and ML engineers. Own hands-on activities across the AI development lifecycle: from data prep and labeling to LLM tuning, evaluation, and deployment. Collaborate with sales leaders to influence deal strategy and … templates, and POV frameworks. Partner closely with our co-founders, product, and engineering teams to provide market feedback and shape our roadmap. Preferred Qualifications 2+ years in AI/ML-focused pre-sales roles, or 4+ years in technical sales engineering with strong exposure to AI/LLM projects Proficiency with modern AI/LLM tools and frameworks (e.g. PyTorch … variable split OTE, with stock options. Compensation depends on level of experience and country. #LI-GM1 Be Your Best At Snorkel Snorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software More ❯

and represent the company at industry events Skills, Knowledge & Expertise Lead the delivery of high-impact data science deliveries across multiple client accounts and projects Design and implement advanced machine learning solutions and propositions using state-of-the-art techniques and best practices coupled with pragmatism to meet clients … needs. Deep expertise in one or more Data Science or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible … Support business development through solution design and pre-sales activities Maintain high billable utilisation while delivering exceptional client value Contribute to Made Tech's thought leadership in AI/ML Guide clients in building robust MLOps practices and data-driven cultures Hiring and line-managing data scientists and analysts Experience in the following things isn't essential, but it's More ❯

the teams building the foundational data platform for one of the UK’s best known ecommerce companies. You’ll help scale data infrastructure that powers real-time decision-making, machine learning, experimentation, and analytics - supporting millions of users. Location: London surrounds (once a week in office … ideally) What you’ll do Manage and mentor two data infrastructure squads, covering batch and real-time pipelines, data observability, and governance Collaborate with Product, Engineering, Data Science and ML teams to align platform capabilities with business needs Define and own the roadmap for scalable, privacy-aware, and resilient data systems Promote engineering best practices and long-term system sustainability More ❯

function, and the Bank more broadly, with quantitative data-driven models and tools that leverage the latest developments in the Artificial Intelligence/Machine Learning (AI/ML) space. You will be joining a focussed and dedicated team and will have the opportunity to use your strong foundational knowledge and practical experience in the field of quantitative data … latest developments in the field, and share knowledge with the broader team Project management, coordination, and managerial oversight where required Your Skills And Experience Expert working knowledge in deep learning and/or natural language processing, and a strong foundation in mathematics and statistics (including probability, time-series modelling, optimisation) A track record of original research and hands-on More ❯

enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions. Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact … daily active users around the globe. As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale. Responsibilities Work with management … and partner teams to design and implement solutions in recommender systems for given objectives. Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly. Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data. Analyze and leverage the extensive More ❯

part of building LexisNexis IP's AI future. We expect this team to work across multiple technologies around a core, includingPython, AWS (EKS, S3, Lambda, CDK, etc.), AI/ML/Data Science libraries (LLM tooling, pandas, etc.) About Role: We are hiring several Software Engineers of differing levels to build AI capabilities through the delivery of AI-powered features … children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About Business At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a … We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at More ❯

improvement. Advise on AI adoption and identify areas for efficiency and innovation. Ensure ethical use of AI, maintaining data security, privacy, and compliance. Stay current with advancements in AI, ML, and LLM technologies. The Tech Toybox includes: TensorFlow/PyTorch for those deep learning dreams ️Cloud platforms to make it all float Langchain & LlamaIndex for connecting the dots What … you’ll need to succeed: At least 3 years of proficiency in AI and machine learning technologies, particularly LLMs. Strong experience with prompt engineering and NLP tasks. Proven experience integrating AI systems with data platforms (databases, data lakes, APIs). Familiarity with data wrangling and preparation tools. Programming skill in Python and experience with AI frameworks (TensorFlow and More ❯

part of building LexisNexis IP’s AI future. We expect this team to work across multiple technologies around a core, includingPython, AWS (EKS, S3, Lambda, CDK, etc.), AI/ML/Data Science libraries (LLM tooling, pandas, etc.) About Role: We are hiring several Software Engineers of differing levels to build AI capabilities through the delivery of AI-powered features … children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About Business At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a … We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at More ❯

ensure that new developments and systems are fit for purpose. Your ability to solve problems - drawing on your knowledge of technologies such as cloud computing, data analytics, business intelligence, machine learning/AI and cybersecurity - will enable you to propose innovative solutions to the business and support ongoing digital transformation and continuous improvement across our application landscape. This … highly valued. Experience applying Agile methodologies, design thinking and UX principles is an asset. Exposure to emerging technologies such as cloud, data analytics, low/no-code platforms, AI, ML, BI and cybersecurity is highly desired. Why ETB • Impactful Work : Join a team that plays a crucial role in Eni's Net Zero 2050 strategy, benefiting from Eni's strong … trading position and global integration. Collaborative Culture : Experience a truly multicultural, supportive, and dynamic work environment. Career Growth : Rapid learning opportunities with potential for movement across teams and international roles. Work-Life Balance : Enjoy a balanced lifestyle with a comprehensive benefits package that may include health, well-being, and flexible working options. How to apply : Applications are only accepted More ❯

represent the company at industry events Skills, knowledge and expertise Lead the delivery of high-impact data science deliveries across multiple client accounts and projects Design and implement advanced machine learning solutions and propositions using state-of-the-art techniques and best practices coupled with pragmatism to meet clients … needs. Deep expertise in one or more Data Science or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible … Support business development through solution design and pre-sales activities Maintain high billable utilisation while delivering exceptional client value Contribute to Made Tech's thought leadership in AI/ML Guide clients in building robust MLOps practices and data-driven cultures Hiring and line-managing data scientists and analysts Experience in the following things isn't essential, but it's More ❯

to be the best in the industry for our users. As a Data Scientist at Sporty, you will play a vital role in developing innovative data science solutions and machine learning models to drive business impact. Working closely with our Trading, Product, and Tech teams, you will leverage your expertise to tackle a wide range of business challenges … translating them into supervised and/or unsupervised learning problems. Who We Are Sporty Group is a consumer internet and technology business with an unrivaled sports media, gaming, social, and fintech platform which serves millions of daily active users across the globe via technology and operations hubs in more than 10 countries and 3 continents. Our success stems from … are seeking more talented individuals to further drive growth and innovation. Responsibilities Create data science solutions to address various business challenges, translating them into supervised and/or unsupervised learning problems using statistical and machine learning models. Participate in monitoring and evaluating the performance of existing models. Develop advanced quantitative models such as LTV models, churn models More ❯

ensure that new developments and systems are fit for purpose. Your ability to solve problems - drawing on your knowledge of technologies such as cloud computing, data analytics, business intelligence, machine learning/AI and cybersecurity - will enable you to propose innovative solutions to the business and support ongoing digital transformation and continuous improvement across our application landscape. This … highly valued. Experience applying Agile methodologies, design thinking and UX principles is an asset. Exposure to emerging technologies such as cloud, data analytics, low/no-code platforms, AI, ML, BI and cybersecurity is highly desired. Why ETB? Impactful Work : Join a team that plays a crucial role in Eni's Net Zero 2050 strategy, benefiting from Eni's strong … trading position and global integration. Collaborative Culture : Experience a truly multicultural, supportive, and dynamic work environment. Career Growth : Rapid learning opportunities with potential for movement across teams and international roles. Work-Life Balance : Enjoy a balanced lifestyle with a comprehensive benefits package that may include health, well-being, and flexible working options. How to apply : Applications are only accepted More ❯

a new Senior Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such … data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking … For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value More ❯

a new Senior Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such … data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking … For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value More ❯

are upholding our values and ethics in how we use data. Skills and Knowledge Analysis of structure, semi-structured and unstructured data Programming - SQL, Python, R, Julia AI/ML ethics Understanding of Data Governance concepts and best practice Quick understanding of business problems and requirements A willingness to learn new skills and adopt to new technologies Good understanding of … Microsoft Server technologies (Azure, T-SQL, SSIS, SSRS, Power BI) Experience Strong experience of working as a Data Scientist or equivalent role, in applying statistical models and machine learning algorithms Experience and ability to respond to business needs by identifying appropriate statistical methodologies and presenting insight for decision making Attention to detail & problem-solving skills Relationship building skills More ❯

Employment Type: Full-time and Permanent Remuneration (London; On-site): £90–120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and … the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

professionals to join them in their digital function. We're looking for individuals who have experience across data engineering, data science, and product development projects. Knowledge of data mining, machine learning, and natural language processing is an advantage. Skills they're looking for... Python Strong analytical and problem-solving skills with deep expertise in data modeling, ETL processes … data warehousing, and machine learning lifecycle management. Strong experience with Data Lakes SQL Building and managing fully automated data pipelines (ETL, ELT, ELTL) including: Designing and building data interfaces to source systems Combining and transforming data into the appropriate format for storage Developing data sets for analytics purposes Developing pipelines that can handle common issues/errors in More ❯

vehicle's safe decision-making processes are transparent and predictable. Your Role Play a pivotal role taking the Shield Perception "code to road". Work closely with Oxa's ML Perception Model Factory team to support development, integration, deployment and validation of the components they develop. Provide fast and meaningful feedback from our deployments to aid our validation lifecycle, including … vehicle's safe decision-making processes are transparent and predictable. Your Role Play a pivotal role taking the Shield Perception "code to road". Work closely with Oxa's ML Perception Model Factory team to support development, integration, deployment and validation of the components they develop. Provide fast and meaningful feedback from our deployments to aid our validation lifecycle, including … make in advance of commencing the interview process with us. Learn more about our culture here Why become an Oxbot? Our team of engineers, mathematicians and experts in AI, machine learning and much else is truly world-class. They are solving the most exciting and important technological challenges of our times. But as well as smarts, Oxbots have More ❯

Python/Spark/Scala. Database technologies in relation to Data Warehousing/Data Lake/Lake housing patterns and relevant experience when handling structured and non-structured data Machine Learning - Experience of industrialising and scaling machine learning models. Experience with machine learning frameworks such as TensorFlow/PyTorch Strong communication skills Nice to More ❯

play a key role in fulfilling our mission to bring people closer to love. Concretely, this means exploring our large datasets, developing statistical models and being comfortable working with machine learning to improve the recommendation models and product experience for our members. With millions of images and messages exchanged on our platform every day, there is a wealth … analytics along with a passion for tech. THE RECOMMENDATIONS TEAM We are part of the cross-functional Recommendations group at Bumble Inc., a team of passionate engineers, scientists, and machine learning professionals who focus on designing and building products that power our mission of bringing people closer to love. We partner with wider business stakeholders, Product, and other … of-the-art recommendation systems for our portfolio of apps, including Bumble, Badoo, and BFF. We are passionate about improving the experience of our members through leveraging AI and Machine Learning in our products. WHAT YOU WILL BE DOING: Work in a cross-functional team alongside machine learning scientists and machine learning engineers Work More ❯

analytics team. This role is perfect for a recent graduate (2:1 or above in Computer Science, Data Science, AI, or a related field) who has a passion for machine learning and artificial intelligence. You’ll have the chance to apply the skills you’ve gained during your studies to develop advanced models and data solutions that directly … initiative, and expertise to design innovative approaches and solve complex problems. Key Responsibilities Build clean, robust, and scalable data pipelines in collaboration with the data team. Develop and test machine learning models that support and enhance business operations. Identify and explore how AI can be used to improve efficiency and drive innovation. Assist with ad-hoc data requests … or higher degree in Computer Science, Data Science, AI, or a related discipline. Strong numerical and statistical knowledge (e.g. Bayesian/frequentist methods, probability distributions). Solid understanding of machine learning algorithms (e.g. linear/logistic regression, random forests, neural networks, time series models). Experience with multiple programming languages — with Python and SQL preferred. Interest or familiarity More ❯

strive to be the best in industry for our users. As a Data Scientist at Sporty, you will play a vital role in developing innovative data science solutions and machine learning models to drive business impact. Working closely with our Trading, Product, and Tech teams, you will leverage your expertise to tackle a wide range of business challenges … translating them into supervised and/or unsupervised learning problems. Who We Are Sporty Group is a consumer internet and technology business with an unrivalled sports media, gaming, social and fintech platform which serves millions of daily active users across the globe via technology and operations hubs across more than 10 countries and 3 continents. The recipe for our … users further via their grit and innovation. Responsibilities Create data science solutions to address a variety of business challenges that can be translated to supervised and/or unsupervised learning problems using statistical and machine learning models Participate in monitoring and evaluation of performance of existing models Develop advanced quantitative models and concepts, such as LTV models More ❯

understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with No SQL Databases such as MongoDB … Experience in various messaging technologies such as Kafka Cloud Certifications including AWS Developer Associate, AWS Solutions Architect Associate Experience with PySpark Good understanding of event based architecture AI/ML field knowledge and trends Experience with Java, Big Data technologies will be a strong plus About Us J.P. Morgan is a global leader in financial services, providing strategic advice and More ❯

strive to be the best in industry for our users. As a Data Scientist at Sporty, you will play a vital role in developing innovative data science solutions and machine learning models to drive business impact. Working closely with our Trading, Product, and Tech teams, you will leverage your expertise to tackle a wide range of business challenges … translating them into supervised and/or unsupervised learning problems. Who We Are Sporty Group is a consumer internet and technology business with an unrivalled sports media, gaming, social and fintech platform which serves millions of daily active users across the globe via technology and operations hubs across more than 10 countries and 3 continents. The recipe for our … users further via their grit and innovation. Responsibilities Create data science solutions to address a variety of business challenges that can be translated to supervised and/or unsupervised learning problems using statistical and machine learning models Participate in monitoring and evaluation of performance of existing models Develop advanced quantitative models and concepts, such as LTV models More ❯