476 to 500 of 2,847 Machine Learning Jobs in the UK

an experienced AI Consultant/Engineer to join an innovative technology team working on intelligent solutions that make a real impact. In this role, you'll use cutting-edge machine learning techniques and large language models to design, implement, and optimise AI-driven systems that enhance productivity and solve complex business problems. If you're passionate about AI … agents, including retrieval-augmented generation and data retrieval systems. Designing AI-powered system architecture using Python, Java, and SQL/NoSQL databases. Fine-tuning models (LLMs & SLMs) and developing machine learning applications to drive measurable results. Staying ahead of open-source AI trends and integrating the best tools into the tech stack. Prototyping, testing, and refining AI applications … based on business needs and feedback. Translating complex technical concepts into clear, accessible explanations for stakeholders. What we're looking for Essential: Strong experience with Gen AI, NLP, and machine learning. Proven ability to create, train, and fine-tune LLMs/SLMs. Skills in prompt engineering and RAG (retrieval-augmented generation). Solid background in Python, Java, and database More ❯

Data Engineer/Data Engineering/Lakehouse/Delta Lake/Data Warehousing/ETL/Azure/Azure Databricks/Python/SQL/ML/Machine Learning/AI/Artificial Intelligence/Based in the West Midlands/Solihull/Birmingham area, Permanent role, £50,000 – 70,000 car/allowance bonus. One of our … Solihull) Permanent role Salary £50,000 – 70,000 car/allowance bonus Experience: Experience in a Data Engineer/Data Engineering role Large and complex datasets Azure, Azure Databricks ML/Machine Learning/AI/Artificial Intelligence Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory More ❯

be found at . As at 31 March 2025 The Team We are looking for an AI engineer to help us build innovative solutions leveraging cutting edge GenAI and Machine Learning technologies. This role will suit anyone excited to work at the intersection of finance, technology and AI and will give you an opportunity to work at the … forefront of a fast-moving, high-impact space.Working within our Machine Learning Technology team, you will help build our core AI platform as well as partner with investment teams to create AI agents that augment, automate and ultimately transform our systematic and discretionary investment workflows. Demonstrable enthusiasm for AI engineering and Machine Learning Excellent software engineering More ❯

pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning these analyses into actionable insights which the business can use. Main Responsibilities Building Machine Learning models that provide insight into customers and helps the business predict customer behaviour around scheme misuse, EV transition and affordability. These models are essential as the business … Supporting the team in meeting ad hoc requests for customer insights from the rest of the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear … strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as Snowflake and strong experience querying data with More ❯

pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning these analyses into actionable insights which the business can use. Main Responsibilities Building Machine Learning models that provide insight into customers and helps the business predict customer behaviour around scheme misuse, EV transition and affordability. These models are essential as the business … the team in meeting ad hoc requests for customer insights from the rest of the business. About You About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear … strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as Snowflake and strong experience querying data with More ❯

be found at . As at 31 March 2025 The Team We are looking for an AI engineer to help us build innovative solutions leveraging cutting edge GenAI and Machine Learning technologies. This role will suit anyone excited to work at the intersection of finance, technology and AI and will give you an opportunity to work at the … forefront of a fast-moving, high-impact space. Working within our Machine Learning Technology team, you will help build our core AI platform as well as partner with investment teams to create AI agents that augment, automate and ultimately transform our systematic and discretionary investment workflows. Key Competencies Essential Demonstrable enthusiasm for AI engineering and Machine Learning More ❯

London) Limited Amazon is looking for talented Postdoctoral Scientists to join our team for a one-year, full-time research position. Postdoctoral Scientists will innovate in key areas of machine learning, natural language processing, computer vision, automated reasoning, robotics, or quantum technologies. As part of the Rufus Features Science team in London, the postdoc will work on shaping … attribute extraction, price comparison, review analysis, and specification matching). We experiment and innovate relentlessly. Science is core in our offering to shoppers, advertisers and customers. Our scientists apply machine learning, optimization, causal modeling and game theory at scale to enhance the customer experience, help advertisers reach relevant audiences, and support brand building. We are seeking talented scientists … conversational shopping systems Publish research findings in top-tier conferences and journals Mentor junior researchers and contribute to the team's scientific direction BASIC QUALIFICATIONS PhD in Computer Science, Machine Learning, Information Retrieval or related field Strong publication record in NLP, Information Retrieval, or Conversational AI Experience with large language models and retrieval-augmented generation Research background in More ❯

a new Lead 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 projects across areas such as customer … 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. Mentor and guide junior … science team and its role within the wider business. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms. 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 More ❯

a new Lead 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 projects across areas such as customer … 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. Mentor and guide junior … science team and its role within the wider business. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms. 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 More ❯

paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment … stack requires a simulator that is both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting edge developments in Machine learning to represent the real world in high fidelity at scale. You'll be managing a multi disciplinary team and working closely with other leaders from across robotics … machine learning development and data to ensure the quality and efficiency of the simulation platform and deliver an effective evaluation and development platform. Challenges you will own: Help define and drive the simulation roadmap to deliver on company goals and priorities Lead technical discussions and guide technical direction where needed Set effective KPIs and metrics Build resilient and More ❯

core , our team is on the lookout for you! You will be part of a fast-paced team developing next generation GPU shader and machine learning (ML) core. You will work with engineers of varied disciplines who are responsible for designing, verifying and delivering Core IP for various products. Since core is the "most prominent" asset in … power and performance targets. No idea is too small; we welcome every initiative that makes our product better. You will be working on the overall Architecture of Shader/ML core. You will be the key point of contact for leaders of various functional organizations. You will work closely with S/W architect, Power & Performance Architecture to define changes … in ISA (instruction set architecture), feature sets for next gen GPU and ML Accelerator products. You will work with micro-architecture leads and physical design leads to strive for best in class PPA. You will review design, and verification plans and will be guide for the implementation teams. THE PERSON: You are an "out of the box" thinker, open to More ❯

million lessons to learners in more than 175 countries. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. About the role Were hiring a Staff ML & Data Engineer to own and evolve Preplys ML platform. You will design the systems that enable our ML teams to move from research to production seamlessly at scale, across clouds, and … with minimal friction. This role blends strategic platform architecture with deep hands-on engineering. Youll partner with Engineering and ML leadership to define standards, introduce new tooling, and eliminate barriers to deploying reliable, cost-efficient, and observable ML systems. Your mission Lead the design and implementation of Preplys ML platform architecture : from experiment tracking and artifact management to scalable model … deployment Drive cloud-native solutions for distributed training and inference, including GPU-based training environments , autoscaling, and rollout strategies Own technical direction for CI/CD for ML , incorporating testing, validation, and performance checks into every deployment pipeline Embed observability best practices across ML workflows: metrics, alerts, drift detection, lineage Act as a multiplier across engineering: mentoring, influencing standards, and More ❯

you will lead the development and implementation of cutting-edge AI strategies that transform our clients' operations and competitive edge. In this critical role, you'll leverage AI and machine learning technologies to solve complex challenges, enhancing efficiency, innovation, and decision-making across the client spectrum. Key Responsibilities: 1. AI Strategy Development & Implementation: Craft and execute advanced AI … the market. 2. Solution Design & Innovation: Design AI-based solutions for critical functions such as R&D, patient engagement, supply chain optimization, and operational efficiency, utilizing the latest in machine learning, natural language processing, and predictive analytics. 3. Technology Integration: Seamlessly integrate AI solutions with existing enterprise systems and platforms, ensuring robust data analytics capabilities and operational effectiveness. … technologies, addressing cultural and operational shifts required for transformation. Qualifications: - Advanced degree in Computer Science, Data Science, AI, or related field. - Minimum of 10 years' experience in AI and machine learning, with a focus on the Pharmaceutical and MedTech industries. - Proven track record in developing and deploying AI solutions that drive business value. - Strong understanding of AI technologies More ❯

to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES), Learning, Quality, Service, Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain. … end, we split our time between short-term deliveries focused on business and long-term research that prepare Amazon for the future. Our skills lie in the area of machine learning and optimization; and know how to code efficient algorithmic science solutions. In this position we focus on Demand Forecast for Scheduling and Capacity Management, which includes the … end network demand flow estimation, hour per hour forecast refresh. We experiment and innovate relentlessly. Science is core in our offering to shoppers, advertisers and customers. Our scientists apply machine learning, optimization, causal modeling and game theory at scale to enhance the customer experience, help advertisers reach relevant audiences, and support brand building. We are seeking talented scientists More ❯

to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES), Learning, Quality, Service, Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain. … end, we split our time between short-term deliveries focused on business and long-term research that prepare Amazon for the future. Our skills lie in the area of machine learning and optimization; and know how to code efficient algorithmic science solutions. In this position we focus on Demand Forecast for Scheduling and Capacity Management, which includes the … end network demand flow estimation, hour per hour forecast refresh. We experiment and innovate relentlessly. Science is core in our offering to shoppers, advertisers and customers. Our scientists apply machine learning, optimization, causal modeling and game theory at scale to enhance the customer experience, help advertisers reach relevant audiences, and support brand building. We are seeking talented scientists More ❯

Experience working with large graph/network data sets, with rich textual content Experience of Java programming can independently prototype solutions to problems Experience with Recommender System, NLP and Machine Learning libraries Experience with big data technologies (e.g. Hadoop, MapReduce, Cascading, Scalding, Scala) is desirable but not required Unix skills Experience with start-up and R&D environments … requirements: Fluent spoken and written English Educational level: Master Degree How to apply: Please mention NLP People as a source when applying Tagged as: Data Mining , Industry , Information Extraction , Machine Learning , Master Degree , Recommendation System , United Kingdom More ❯

strong skills demonstrated in working effectively with teams and communicating technical concepts to non-technical cross-functional partners. ( AI for Security ) Track record of training and shipping high impact ML/AI products and iterating rapidly on ideas to solve open ended problems. ( Security for AI ) Deep understanding of identity and access management protocols (OAuth, OIDC, SAML, etc.). Bonus … checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here for the latest third party bias … audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form . For additional information see our Candidate Privacy Notice . More ❯

Understands complex and critical business problems from a variety of stakeholders and business functions, formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the definition, implementation and adherence to the … contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of … field (or equivalent). Working experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Strong programming skills in R More ❯

our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or … As Data Scientists as Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. Who you are We're looking for someone who meets the minimum requirements to be considered … science/quantitative modeling experience Proficiency in SQL and a computing language such as Python or R Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation Experience in working with cross-functional teams to deliver results Ability to communicate results clearly and a More ❯

and customer events while contributing to technical blog posts and educational materials. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of experience in Computer Vision, Machine Learning, or applied AI roles. Excellent … resilient, and able to communicate clearly with technical and non-technical stakeholders. Proficiency in Python and familiarity with the YOLO ecosystem. Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts. Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment. Experience with Docker and comfort working across Linux, macOS, and Windows … HUB. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

and customer events while contributing to technical blog posts and educational materials. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of experience in Computer Vision, Machine Learning, or applied AI roles. Excellent … resilient, and able to communicate clearly with technical and non-technical stakeholders. Proficiency in Python and familiarity with the YOLO ecosystem. Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts. Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment. Experience with Docker and comfort working across Linux, macOS, and Windows … HUB. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

3D image analysis, life sciences/bio, machine learning, CNNs Cutting-edge researchers need the support of a PhD-qualified computer scientist with a specialty in image analysis, to work on 3D/4D (space and time) datasets in the life sciences, using a combination of image processing and machine learning techniques. You will support equally … Python, including advanced image processing for 3D datasets, and ideally interpretation of biological (not medical) data from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar. Ideally use of machine learning, neural networks, particularly CNNs given the data involved, feature extraction and tracking. Familiarity with computer vision, cellular imaging, volumetric tiling, voxel imaging, 3D graphics (rendering), spherical harmonics More ❯

a complete set of cloud services that enable all companies, from startups to enterprises, to run virtually everything in the cloud, including mobile applications, big data analytics, AI/ML platforms, and microservices/serverless infrastructures. Startups, which are now primarily born-in-the-cloud, represent a critically important and growing subset of customers to AWS. Startups have unique needs … ambiguous environment, execute against ambitious goals, and consistently embrace the Amazon Culture. You will be at the heart of latest trends like artificial intelligence (AI), machine learning (ML), serverless and IoT, helping your customers to leverage state-of-the-art technologies on AWS to innovate and become the next disrupters, like today's AirBnB, Slack, DoorDash, and Lyft. … IT sales • Experience selling cloud solutions at a technology company • Knowledge of core cloud computing concepts including compute, storage, database and higher order capabilities like microservices, analytics, serverless and machine learning • Knowledge of UK Startup landscape and passion for helping startups grow • Entrepreneurial "builder" mentality • Excellent verbal and written communication skills • Comfortable delivering results amid ambiguity and change More ❯

top of their field to bring underwriting excellence. After 5 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery & IoT. After a successful Series B raise of $120M USD, we launched Descartes Insurance, a 'full stack' insurer licensed to underwrite … or forecasting tools. Your key missions will include: Improving or developing new algorithms, new risk models and products for our B2B client; Identifying, implementing and deploying new statistical and machine learning methods to differentiate Descartes from its competitors; Participating in the development of Descartes' technological platform; Collaborating with the business team to understand client needs and issues to … in computer science, applied mathematics, statistics or meteorological studies; Ideally a previous experience (long-term internship) in data science or climate modeling SKILLS Proficient in statistics, applied mathematics and machine learning methods; Capable of building high-performance algorithms; Proficiency in Python (e.g. scikit-learn); Fluency in English (written and verbal communication) required; Good command of one additional language More ❯

They are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at … the forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across the product suite Working closely with the Credit and … model enhancements YOUR SKILLS AND EXPERIENCE : Essential to have experience developing predictive models within a Credit Risk setting SQL and Python experience is essential Essential to have experience using Machine Learning techniques to develop non-linear models Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech SALARY AND BENEFITS Base salary More ❯