76 to 100 of 1,367 Machine Learning Jobs in England

Are you passionate about delivering real value to an organisation using advanced techniques in data science and machine learning? We are looking for multiple talented senior data scientists for our leading FinTech client. These role presents an opportunity for you to partner with stakeholders across all areas of the business, including marketing, risk, customer services and quants, to … deliver impactful data products using state-of-the-art machine learning technique Key Responsibilities Lead high-impact projects, being a technical thought leader and subject matter expert in classic Machine Learning as well as advanced and generative AI. Explore a variety of data from structured to unstructured data spanning client, operational and financial domains to identify … insight generation systems. Work with stakeholders from across the business to turn business problems into data science solutions. Mentor junior members of the department, helping them grow Experience Implementing machine learning in production using in-house or third-party data science platforms Building machine learning models; experience in Natural Language Processing, Time-Series prediction, Neural Networks More ❯

teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role We are excited to be hiring a new Data Science Manager for our team! Ideally … 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 … 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 ❯

build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product and Design … functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer … be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas where ML can create value for our customers Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research - Deeply understand More ❯

be passionate about bridging the gap between data science experimentation and scalable production systems, driving automation, and enabling faster innovation cycles. Key Responsibilities Architect, build, and maintain production-grade ML Ops pipelines to automate deployment, monitoring, and scaling of machine learning models. Collaborate with data scientists and ML engineers to reduce time-to-production for experiments and prototypes. … AWS cloud services (EC2, S3, Lambda, SageMaker, RDS, DynamoDB, Redshift, etc.) to build robust, scalable, and cost-effective solutions. Apply AIOps practices to enhance monitoring, automation, and resilience of ML systems. Implement best practices in data engineering, version control, CI/CD, and infrastructure as code. Ensure the security, reliability, and compliance of data pipelines and deployed ML solutions. Mentor … a Senior Data Engineer, MLOps Engineer, or similar role. Strong background in data structures, algorithms, and software engineering principles. Advanced proficiency in Python for data wrangling, pipeline automation, and ML workflows. Expertise in AWS services, including databases (RDS, DynamoDB, Redshift) and machine learning/AI (SageMaker, AI/ML frameworks). Hands-on experience with ML pipeline orchestration More ❯

Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning … document embeddings, and data chunking. Collaborate closely with product teams, business stakeholders, and engineers to ensure seamless integration of NLP models into production systems. Troubleshoot complex issues related to machine learning model development and data pipelines, developing innovative solutions as needed. Actively research and identify the latest relevant methods and technologies in the field. What We're Looking … For Basic Required Qualifications A degree in Computer Science, Mathematics, Statistics, Engineering or a related field. A solid understanding of Machine Learning and Deep Learning methods, along with their mathematical foundations. At least 5 year of professional experience in advanced analytics, data science, or machine learning. A minimum of 1 year of hands-on experience developing More ❯

for pushing boundaries and delivering innovation across high-impact sectors. Your new role As a Machine Learning Engineer, you'll be instrumental in designing and validating novel ML models to optimise manufacturing processes and material compositions. You'll collaborate with cross-functional teams of engineers and scientists, contribute to the development of internal ML platforms, and help identify … What you'll need to succeed Essential Skills: * Bachelor's degree (2:1 or above) in science, engineering, mathematics, or computer science * Strong Python development skills * Practical experience with machine learning or deep learning in scientific/engineering contexts * Familiarity with MLOps tools and practices (Airflow, MLflow) and containerisation (e.g., Docker) * Passion for working with real-world … visualisation * Interest in material discovery, computer vision, big data, and optimisation techniques * Excellent communication and collaboration skills * Problem-solving mindset and self-motivation Desirable Skills: * Master's degree in machine learning, mathematics, or statistics * Understanding of probabilistic and Bayesian modelling * Knowledge of software design principles and object-oriented programming * Experience with cloud platforms (Azure, AWS, GCP) and infrastructure More ❯

MLOps Engineer to help build, deploy, and maintain scalable machine learning infrastructure that drives innovation in our products. You will play a critical role in developing scalable ML infrastructure that powers immersive XR applications with real-time 3D content. Key Responsibilities: Design, develop, and maintain scalable MLOps pipelines tailored for XR applications, ensuring smooth deployment and monitoring of … machine learning models. Collaborate closely with 3D artists and XR developers to integrate machine learning workflows with 3D rendering engines. Optimize ML models and workflows for real-time inference within 3D environments and XR platforms. Manage cloud infrastructure and automation tools to support continuous integration and continuous deployment (CI/CD) of ML models. Troubleshoot and … resolve performance bottlenecks related to ML inference and 3D rendering workloads. Develop monitoring solutions to track model performance and system health in production. Stay up to date with the latest trends in MLOps, XR technologies, and 3D rendering techniques to propose innovative improvements. Qualifications: Proven experience as an MLOps engineer or similar role with a focus on 3D applications Strong More ❯

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 ❯

projects and technologies that get deployed on devices and in the cloud. As a Machine Learning Engineer in GenAIIC, you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using Gen AI. You will be working alongside scientists with terabytes of text, images, and other types of data and develop Gen … to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Key job responsibilities Our ML Engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for the intersection of software development with … and machine learning. You'll also: Solve complex technical problems, often ones not solved before, at every layer of the stack. Design, implement, test, deploy and maintain innovative ML solutions to transform service performance, durability, cost, and security. Build high-quality, highly available, always-on products. Research implementations that deliver the best possible experiences for customers. A day in 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 ❯

Senior Machine Learning Engineer Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck. £90000-110000 GBP Hybrid WORKING Location: Gloucester, South West - United Kingdom Type: Permanent Senior Machine Learning Engineer - Defence & Security £90,000 - £110,000 | Gloucester Area | Hybrid (2-3 days on-site … as required) To be eligible, candidates must hold sole British nationality and have active SC Clearance. Do you want to take cutting-edge machine learning o Please click on the apply button to read the full job description 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 ❯

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 ❯

we have the potential and the opportunity to change the way organisationsoperate. As we continue to grow,we'relooking for a highly motivated and skilled Machine Learning (ML) and Artificial Intelligence (AI) Engineer to contribute to the development and deployment of our advanced ML and AI solutions. In this hands-on role,you'llbe involved in building innovative … models and scalable infrastructure that tackle complex ecological and geospatial challenges.You'llplay a key part in our ML and AI roadmap, directly contributing to helping organisations understand and manage their impact on nature. Key Responsibilities Feature development: Lead on the design, development and deployment of end-to-end ML and AI features, from research and prototyping to productionisation and monitoring. … Model implementation: Implement advanced ML algorithms and models to solve complex ecological and geospatial problems. System design: Contribute to the architecture, building and maintenance of scalable, reliable, and efficient ML and AI pipelines and infrastructure. Product collaboration: Collaborate with product managers and stakeholders to translate business requirements into technical solutions, supporting the overall ML and AI strategy and identifying opportunities 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 ❯

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 ❯