101 to 125 of 1,624 Machine Learning Jobs in the UK

Talk to us about how we can support you. We are looking for a Machine Learning Engineer to join our growing team, to develop and deploy core ML/AI algorithms to tackle data science challenges across the Kingfisher Group. You will support data science projects from start to production, developing quality code and carrying out automated builds … and deployments, working with colleagues in the Data Science team and stakeholders across the business. Responsibilities Develop high-quality machine learning models to solve business challenges Develop production-quality code and carry out basic automated builds and deployments Write comprehensive, well-written documentation Identify work and dependencies, tracking progress through a set of tasks Communicate clearly with colleagues … on multiple data science projects and manage deliverables What we offer Solid understanding of computer science fundamentals, data structures, algorithms, data modelling and software architecture Solid understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.), state-of-the-art areas (e.g. NLP, Transfer Learning) and modern Deep Learning algorithms (e.g. BERT, LSTM More ❯

the whole lifecycle of model development. That means you are someone who enjoys in equal measures the data wrangling to compose meaningful feature and clean sets, and modelling using Machine Learning. You'll develop and deploy machine learning models that power real-world decisions - from underwriting to fraud detection to optimise customer conversion. This is an end … end role: data wrangling, model development, evaluation, and performance monitoring. As a Data Scientist, you'll play a key role in the end-to-end lifecycle of their advanced machine learning models, working with structured and unstructured data to fuel predictive analytics. You'll be part of an agile, innovative team, developing cutting-edge solutions that are transforming … field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work in a fast-paced, dynamic environment Eagerness to make an More ❯

unlock their digital potential! To get a sneak peek into our culture, find us on Overview Why is this team critical to Optimizely? Business Impact: Powering Optimizely One, our ML innovations are crucial for defining Optimizely's technological leadership in digital experience platform High Visibility: ML capabilities developed by this team are central to Optimizely's strategic product roadmap and … who will architect and technically lead projects dedicated to pushing the boundaries of AI-driven digital experiences. In this pivotal role, you will guide the development of cutting-edge machine learning solutions that not only anticipate but actively shape how global brands engage, understand, and delight their customers through intelligent, predictive, and personalized digital interactions.Some Technologies We Work … machine learning development Implement rigorous code quality and testing standards across data science projects Support talent acquisition and continuous learning initiatives Knowledge and Experience Knowledge of ML model development and deployment frameworks (MLFlow, Kubeflow Advanced data querying (SQL) and data engineering pipelines (Airflow Extensive experience with comprehensive unit testing, integration testing, and test coverage strategies Experience working More ❯

will have the unique opportunity to learn directly from our team of AI researchers, engineers, and data scientists. This role is designed to provide structured, real-world experience in machine learning, data processing, and model deployment while working on exciting projects. You'll gain practical experience in various stages of AI development, from data preprocessing and algorithm implementation … Work with cutting-edge AI technologies like neural networks, natural language processing, and computer vision. Participate in regular team meetings and brainstorming sessions. Gain experience with popular AI/ML tools and frameworks such as Python, TensorFlow, PyTorch, and Scikit-learn. Learn about data pipelines, from data ingestion to model deployment. Deepen your understanding of algorithms, AI ethics, and the … Hands-on experience with real-world AI projects that impact our business and customers. Mentorship and guidance from experienced professionals in the AI field. Requirements Passion for AI/ML : Demonstrated interest in artificial intelligence and machine learning. Education : Currently pursuing or recently completed a degree in Computer Science, Mathematics, Data Science, or a related field. Programming Skills : Basic More ❯

job is to shape the technical roadmap and contribute to the implementation of best practices both in the product team (Pod) you work in and the global Chapter of ML Engineers. You will work with the global Chapter leads, subject matter experts, and other ML Engineers to deliver impactful AI solutions. WHAT YOU WILL DO Technological Leadership: Define architectural patterns … adapt models to unique business contexts. Evaluation and Optimization: Analyze models for quality, latency, sustainability metrics, and cost, identifying and implementing improvements for better outcomes. Define and own the ML-Ops for your Pod. Experimentation and Continuous Improvement: Develop experiments for model evaluation and improvement, keeping the solutions aligned with evolving industry standards. Best Practices: Establish scalable coding standards and … best practices for maintainable and production-ready systems. Team Support: Mentor ML engineers to foster their personal growth. HOW YOU WILL SUCCEED IN YOUR ROLE We're looking for someone who is excited to make an impact and grow with us. While not everyone will have all the qualifications listed, you might be a great fit if you bring some More ❯

strong background in cloud-based machine learning solutions to join our Glasgow team. The successful candidate will work on the design, development, and deployment of large-scale ML models within an AWS environment, supporting advanced analytics and data-driven decision-making. This role requires proven expertise in AWS machine learning technologies, distributed computing, and CI/… Experience Strong proficiency in AWS-based Machine Learning technologies including SageMaker, Lambda, S3, and EC2. Hands-on experience in CI/CD pipelines and Docker containerisation for ML model development and deployment. Expertise in data preprocessing and feature engineering to prepare datasets for large-scale modelling. Proficiency in Python programming with experience of ML frameworks such as TensorFlow … PyTorch, and scikit-learn. Demonstrable experience of distributed computing for handling large ML workloads, particularly using Spark. Strong capability in statistical analysis and model evaluation , ensuring robust and reliable outputs. Desirable Skills Experience with experiment tracking and model registry tools (MLflow, DVC). Knowledge of infrastructure as code using Terraform or CloudFormation. Familiarity with data visualisation tools and techniques to More ❯

of the business, with key deliverables to increase conversion, retention and overall company income and profitability. The role will involve the management of detailed analysis of data using sophisticated machine learning and statistical techniques within price optimisation to recommend pricing actions which increase volume, income and profit. In addition, the Lead Pricing Analyst will build pricing capability and … of retail pricing in the wider Ageas UK Group. Main Responsibilities as Lead Pricing Analyst - Market: Management, development and coaching of Pricing Analysts. Develop, validate, review, and approve predictive machine learning models; exploring new machine learning techniques to improve model predictiveness. Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring … out price optimisation and improve on existing price optimisation processes using innovative techniques; prepare recommendations for senior stakeholders. Maintenance and application of models of customer and market behaviour; incorporating machine learning into behavioural models. Skills and experience you need as Lead Pricing Analyst - Market: 3+ years’ experience in insurance pricing or related analytical background. Highly skilled in the More ❯

through building and deploying models, to measuring impact using A/B testing. You will gain hands-on experience with leading technology, modern architecture, and the latest applications of machine learning and generative AI in production. What you’ll do: Work closely with stakeholders across the business to understand and propose improvements to existing process using new data … functional business. PhD or MSc or equivalent experience in a numerate subject: Machine Learning, Computer Science, Statistics. Proven experience of applying, researching, and developing advanced statistical/ML methods to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results. Experienced in … engaging with non-technical partners to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Knowledge of OO programming, software design, i.e., SOLID principles, and testing practices. Knowledge and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark, geospatial data/ More ❯

Graduate Technical Recruiter - Trading Technology & Machine Learning About Algo Capital: Algo Capital is a leading global algorithmic talent firm specializing in Quantitative Trading and Trading Technology recruitment across the US, EMEA, and APAC. We partner with the most exclusive clients in the trading industry, who are pushing the boundaries of AI, machine learning, and low-latency … of the art solutions and platforms. We're seeking a driven Graduate Technical Recruiter to join our team, focusing on C++, Python, Low Latency systems, and advanced AI/ML roles. Who You Are: Recent STEM or related field graduate with a strong interest in technical recruitment for Finance, Trading Technology, or FinTech Entrepreneurial mindset Eager to learn about recruiting … Comprehensive training (1:1 mentorship) in Trading Technology and AI recruitment Collaborative, high performing team culture Networking with top-tier professionals and technologists in Trading Technology and AI/ML Clear structured career progression path in Quantitative technical recruitment This is an excellent opportunity to build a lasting career in quantitative technology, if you would like further information please apply More ❯

Graduate Technical Recruiter - Trading Technology & Machine Learning About Algo Capital: Algo Capital is a leading global algorithmic talent firm specializing in Quantitative Trading and Trading Technology recruitment across the US, EMEA, and APAC. We partner with the most exclusive clients in the trading industry, who are pushing the boundaries of AI, machine learning, and low-latency … of the art solutions and platforms. We're seeking a driven Graduate Technical Recruiter to join our team, focusing on C++, Python, Low Latency systems, and advanced AI/ML roles. Who You Are: Recent STEM or related field graduate with a strong interest in technical recruitment for Finance, Trading Technology, or FinTech Entrepreneurial mindset Eager to learn about recruiting … Comprehensive training (1:1 mentorship) in Trading Technology and AI recruitment Collaborative, high performing team culture Networking with top-tier professionals and technologists in Trading Technology and AI/ML Clear structured career progression path in Quantitative technical recruitment This is an excellent opportunity to build a lasting career in quantitative technology, if you would like further information please apply More ❯

to start ASAP for an initial 6-month contract on a hybrid basis based near Stratford, London. Main Accountabilities: Design and implementation of tooling and technologies to support Machine Learning and the use of Large Language Models Take ownership of the design, deployment, and maintenance of machine learning models Recommend, implement, and use tooling to improve … the development, operations, and observability of machine learning models, large language models, and AI-related services Essential skills: Previous experience working on online Chat or Chatbors, particular voice, is a must-have. Strong recent hands-on capabilities in Python are a must-have. Experience with a microservice environment using tools such as Jupyter, Pandas, Numpy, Fast API, and … of embeddings, generative IA, and its applications is a must-have Desireable : Any of Terraform, Helm, Kubernetes, Postgres would be advantageous. Qualifications or demonstrable experience in Data Science and Machine Learning including algorithms, NLP, XAI. A demonstrable experience in delivering real-world applications using Generative AI, in particular Large Language Models. The two-stage remote interview process with More ❯

years of work experience in a business environment with an analytics background. Relevant Master's degree with the combination of a Business degree or any of the following fields: Machine Learning or computer science, statistics, mathematics with strong understanding of business and ML. Understanding of Machine Learning models and techniques, advanced analytics and statistical methods to … years of work experience in a business environment with an analytics background. Relevant Master's degree with the combination of a Business degree or any of the following fields: Machine Learning or computer science, statistics, mathematics with strong understanding of business and ML. Understanding of Machine Learning models and techniques, advanced analytics and statistical methods to … flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect More ❯

in managing or leading an engineering team. Minimum Qualifications Strong understanding of machine learning concepts and technologies. Detailed understanding of building, evaluating and release management processes for ML systems. Strong leadership, management, planning and co-ordination skills with demonstrated ability to work collaboratively across an organization. Experience with modern machine learning algorithms including large language models. … distilling sophisticated technical requirements from multiple partners into a coherent long-term platform roadmap. Industry experience in implementing and training large language models PhD or MSc in Language Technologies, Machine Learning, or a closely related field. More ❯

things done. Our engineers are part of the full process from design, to code, to test, to deployment and back again for further iteration. Our team is building the Machine Learning Platform for all data scientists across Tripadvisor. Our mission is to make data scientists more productive and to … enable broader and deeper utilization of machine learning techniques to help improve the business performance. We use a variety of 3rd party packages, including MLFlow, Seldon for ML model tracking and deployment, Kubernetes for hosting models, Argo and Git for CI/CD automation, Spark for big data processing. This is a rapidly changing field and we are … more. We are migrating into AWS cloud and adopting many services that are available in that environment. You will have the opportunity to learn many cutting edge technologies around Machine Learning Platform. You will push the boundaries, to test, develop and implement new ideas, technology and opportunities, and be well rewarded and recognized for doing so. Take responsibility More ❯

projects for government departments, foundations, and non-profit groups, designing and delivering research that sheds new light on complex policy issues. You will leverage your expertise in statistics and machine learning to generate new evidence on issues including education, employment, equality, social care, and crime prevention. Key Responsibilities Research: This role will enable you to further build your … knowledge and experience in exploratory data analysis, inferential statistics, and machine learning, including: Clustering techniques (e.g., k-medoids, hierarchical clustering) Predictive modelling (e.g. Classification and Regression Trees (CART), Linear Regression, Random Forest, Gradient Boosted Models) Natural Language Processing (NLP) with a focus on social listening and topic modelling Integration of generative AI and LLMs in qualitative and survey … work closely with subject matter experts on policy but will be expected to quickly gain a basic understanding of new policy issues. You will combine advanced data science techniques (machine learning, NLP, data engineering) with robust quantitative research methods (survey analysis, causal inference, MRP) to produce insights that directly inform social policy. Leadership: You will be joining Britain More ❯

point of application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products.You will experiment with the latest machine learning techniques combined with a rich data repository to build and deploy best-in-market risk models.This role will primarily focus on our UK Cards business, but through … all areas of Lendable. Our team keeps up with the latest advancements in the industry through regular journal clubs. Our team's objectives The data science team develops proprietary machine learning models combining state-of-the-art techniques with a variety of data sources that inform scorecard development and risk management, optimise marketing and pricing, and improve operations … team and business Key Skills Knowledge of machine learning techniques and their respective pros and cons. Ability to communicate complex topics clearly and concisely Proficiency with creating ML models in Python with experiment tracking tools, such as MLFlow. Curiosity, creativity, resourcefulness and a collaborative spirit Interest in problems related to the financial services domain - a knowledge of Credit More ❯

to explain what you do to your family again! Design 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 leadership and teams. Shape AI Strategy and the delivery of LLM based solutions. Operate across multiple industries and functions. … on containerization, performance monitoring, and production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications … risks such as debt accumulation and overlapping initiatives. Promote Innovation and Best Practices Advocate for the adoption of cutting-edge data technologies and methodologies, including AI-driven data processing, machine learning pipelines, and automated data integration. Design reusable assets, solutions, and develop best practices for current and future business problems. Consult on complex analyses and advanced machine More ❯

As a Data Science Lead in Research Analytics, you'll drive analytics solutions that inform compound and antibody discovery for early drug platforms. You'll apply data science and machine learning to diverse datasets-imaging, gene expression, high-throughput screens, and sequencing (e.g., mRNA display)-to identify initial hits and establish early structure-activity relationships. Your work supports … with other biotech or technology companies. What you'll do Lead platform development of novel modalities such as peptides, impacting therapeutic projects with data-driven insights using analytics and machine learning on high-dimensional datasets conducted with complex biological assays (e.g. next-generation sequencing, cell-based assays, time-series assays, high-content assays, -omics assays, etc.). Clear … types, file formats, and common metadata used in biology, including high-dimensional experiments such as imaging, or high-throughput experiments such as peptide/biologics display. 8+ ofexperience with machine learning on large/high dimensional datasets including data manipulation, wrangling, and analytics. 8+ Experience with machine learning on chemical, sequence, and/or biological features. More ❯

Sr. SDE, IIoT, Decision Science and Technology (DST) Interested in creating systems and services that bring the power of Machine Learning (ML) to new application fields? With IIoT products, our organization is setting the standard for high-performance, easy-to-use, and cost-effective ML services. Our team expands this portfolio to new applications, enhancing our condition-based … maintenance program, and maximizing equipment availability. As a Software Development Engineer, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base. In this role, you will collaborate closely with a team of research and applied scientists to influence our overall strategy and define the … technologists who are committed to nurturing talent and helping you expand your technical capabilities through personalized mentorship and meaningful project assignments. Key job responsibilities 1. Design and develop distributed machine learning systems for complex industrial applications 2. Create practical code that solves challenging technical problems 3. Mentor junior engineers and contribute to team technical standards 4. Build software More ❯

a top-tier quantitative firm. International Talent: Yes, international applicants are encouraged. These roles are for a professional with a global perspective, ready to apply their sophisticated expertise in machine learning to London’s prestigious financial markets. Are you interested in joining environments where your research will directly influence strategies with a substantial AUM? Individuals who are seeking … the future of quantitative and discretionary trading should take this opportunity seriously. 🔷 The Profile – Your Expertise We’re looking for professionals with a global perspective, skilled in applying advanced machine learning techniques to financial data. They have a demonstrable history of developing and deploying sophisticated models in institutional settings, with deep expertise in risk … management and the ability to integrate cutting-edge research into scalable, robust trading platforms that meet the highest standards of institutional finance. Career Path: Career trajectories focused on applying ML to solve complex problems in global, institutional trading environments. Histories of delivering high-impact projects that directly influence multi-million-dollar portfolios. Projects And Performance: Experience developing models for global More ❯

a top-tier quantitative firm. International Talent: Yes, international applicants are encouraged. These roles are for a professional with a global perspective, ready to apply their sophisticated expertise in machine learning to London’s prestigious financial markets. Are you interested in joining environments where your research will directly influence strategies with a substantial AUM? Individuals who are seeking … the future of quantitative and discretionary trading should take this opportunity seriously. 🔷 The Profile – Your Expertise We’re looking for professionals with a global perspective, skilled in applying advanced machine learning techniques to financial data. They have a demonstrable history of developing and deploying sophisticated models in institutional settings, with deep expertise in risk … management and the ability to integrate cutting-edge research into scalable, robust trading platforms that meet the highest standards of institutional finance. Career Path: Career trajectories focused on applying ML to solve complex problems in global, institutional trading environments. Histories of delivering high-impact projects that directly influence multi-million-dollar portfolios. Projects And Performance: Experience developing models for global More ❯

of application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products.You will have access to the latest machine learning techniques combined with a rich data repository to deliver best in market risk models.This role will primarily focus on our US unsecured loans and credit cards business. … business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions. We self-serve with all deployment and monitoring, without a separate machine learning engineering team. Design, implement, manage and evaluate experiments of products and services leading to constant innovation and improvement. How you'll impact those objectives Learn the domain … team, learn from and contribute to the body of knowledge. Key Skills Experience using Python and SQL. Strong proficiency with data manipulation including packages like NumPy, Pandas. Knowledge of machine learning techniques and their respective pros and cons. Confident communicator and contributes effectively within a team environment. Self driven and willing to lead on projects/new initiatives. More ❯

world. Role Data Analytics & AI - Data Science & AI - Manager EY exists to build a better working world. We empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for you to personalise and build your career, helping to create long-term value for clients, people and society and build trust in the capital markets. … interpret data, and support data driven decision making. Machine Learning and AI Model End to End Management : The ability to build and manage the full lifecycle of ML models including development, validation, deployment, and monitoring in production environments. Collaboration : The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning … Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Programming: Solid experience in Python and SQL. Experience with R is a nice-to-have. ML and AI: Practical experience using ML modeling libraries like Scikit-Learn, Keras, TensorFlow, PyTorch and similar Generative AI: Some hands-on experience with LLMs for prompt engineering or agents is More ❯

product quality and customer returns). The team also develops GenAI platforms for automation of Amazon Stores Operations. As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related … task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You … patents and/or publish research work where opportunities arise. The RBS org deals with problems that are directly related to the selling partners and end customers and the ML team drives resolution to organization level problems. Therefore, the Senior Applied Scientist role will impact the large product strategy, identifies new business opportunities and provides strategic direction which is very More ❯

days in office) Up to £125,000 + Equity About the Role A fast-scaling climate tech company backed by investors is looking for a Director of AI & ML to lead the development of advanced machine learning solutions that help global banks, insurers, and real estate firms understand and act on physical climate risk. You’ll define the … ML strategy, shape a high-impact team, and deliver real-world innovation across generative AI, geospatial modelling, and time-series forecasting. Key Responsibilities Own and evolve the company’s AI & ML strategy in line with product and customer priorities Lead, mentor, and grow a high-performing team of ML Engineers Take prototypes through to production, delivering meaningful product features powered … by GenAI and predictive modelling Collaborate with Science and Engineering to integrate ML with physics-based climate models Communicate complex technical concepts in simple, outcome-oriented terms for customers and cross-functional teams Your work will focus on delivering high-value insights and solutions, including: Developing generative AI tools for geospatial risk assessment Building models to project the impact of More ❯