951 to 975 of 4,114 Machine Learning Jobs in England

Loyalty.This is an opportunity to lead a talented team whilst remaining hands-on, solving some of our biggest customer, marketing and commercial challenges using Machine Learning and advanced analytics. Working across multiple product value streams, you'll partner with Product Owners, Engineers, Analysts and business leaders to identify … combine technical leadership with commercial thinking, leading a team of Data Scientists whilst remaining hands-on in the design and delivery of production-ready Machine Learning solutions. Spending around half of your time on technical delivery, you'll coach your team, set technical standards and ensure Data Science ...

will play a key role in developing, implementing and monitoring these models and drive significant value for the business. Model Development: Develop statistical and machine learning models for commercial lending products. Optimization: Deliver value through the optimization of current models and drive innovation by constantly seeking alternative data … lift each other up and think smart every day. As part of the Decision Science team, you will create cutting edge statistical and machine learning models and collaborate with data engineers, analysts, and business stakeholders. As well as improving on our previous generation models, we are expanding ...

will accomplish: Identify high-impact opportunities within fragmented or undefined processes and translate them into actionable solution roadmaps Deliver end-to-end AI, machine learning, and automation solutions from concept to production, driving measurable business outcomes Build scalable, reusable data frameworks and pipelines that improve efficiency and enable … Apply emerging AI and automation tools in ways that drive tangible business value What you will bring: Proven experience delivering end-to-end AI, machine learning, or data-driven solutions in large, complex organizations, from concept through to production and business adoption Strong technical skills in Python ...

defined and ready for delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. … radar, RF, electro-optical or other sensor technologies. Background in engineering, physics, mathematics, data science or a related technical discipline. Experience delivering AI, machine learning or analytics-driven products. Familiarity with decision-support systems or operational software platforms. Please note: This is a hybrid role based around regular ...

Tree-of-Thoughts, Reflexion , or hybrid reasoning patterns) for automation, insight generation, and decision support. Lead exploratory data analysis (EDA), dynamic source classification, and ML model integration for advanced analytical and operational use cases. Mentor and grow a high-performing team of architects, engineers, and analysts—fostering innovation, cross functional … reporting and observability Enterprise Integration: Secure API architecture, user feedback loops, instrumentation with Langfuse for traceability, MLOps and LLMOps frameworks to operationalise and govern ML/LLM pipelines across environments Your Profile Proven experience designing and scaling GenAI-enabled and data-driven architectures. Strong grounding in software engineering principles ...

computer engineering, software development, or building technical tools, including creating solutions by writing code.Experience working with systems (e.g., Linux, Unix, Windows).Experience using machine learning and building AI solutionsExperience with Robotics Engineering.Preferred qualifications:Master’s degree in Engineering, Computer Science, Business, or a related field.Experience in an analytical … computer engineering, software development, or building technical tools, including creating solutions by writing code.Experience working with systems (e.g., Linux, Unix, Windows).Experience using machine learning and building AI solutionsExperience with Robotics Engineering. ...

learning frameworks (Pytorch, JAX, TensorFlow). You can work on different layers of the stack from low-level training backends, data ingestion to ML/RL algorithmic design and implementation. You know when and where to be rigorous and slower versus when to break and iterate quickly. You have … Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV, AAMAS, ...) Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV) Experience with large-scale distributed training and inference (multi-node, large models, MoE, parallelism strategies, etc) Experience training models for computer ...

environment interactionRobot motion planning using traditional and AI-based algorithmsSensor guided robot motions, particularly using tactile/haptic perception and 3D vision.The use of machine learning techniques in the real time control of robotic manipulators (Vision-Language Action Models, Diffusion Policies, Transformer Architectures, Reinforcement Learning, Long Short … Term Memory)Learning from demonstration, skill acquisition, behaviour optimisationRobot grasping, including multiple articulated finger graspingDextrous and in-hand manipulationA Bachelors or Masters degree in Robotics, Robot Control, Robotics and AI, or a similar discipline with a strong software engineering component.Nice to have: A PhD in a relevant robotics area ...

agile development methodologies.Day to day the Data Engineer will:Work alongside the Risk and Analytics team to create and implement machine learning risk models and large scale data projects from inception to productionBuild high quality datasets from raw data using some of the latest tools and technologiesBuild … embed defined data models and data flows to the cloudDrive large batch, streaming and machine learning applications from design to productionContribute to the design, implementation and monitoring of our cloud data platform as well as innovative ways to ingest, process, store and analyse various data sourcesContribute to automation ...

will help deliver scalable, secure, and reliable MLOps platforms supporting large-scale data processing and real-time inference workloads. Key Responsibilities Deploy and manage ML models in production using Azure Machine Learning. Design and maintain Azure-based MLOps infrastructure. Build and support Azure DevOps CI/CD pipelines … ML artefacts. Implement monitoring, logging, security, and governance controls. Manage data pipelines, storage solutions, data versioning, and lineage tracking. Support real-time inference and scalable ML workloads, including auto-scaling. Collaborate with technical and business stakeholders to optimise model performance and platform reliability. Produce and maintain technical documentation. Skills & Experience ...

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 … 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 AICollaborate with cloud vendors to integrate Responsible AI principles and standards into ...

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 … 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 AICollaborate with cloud vendors to integrate Responsible AI principles and standards into ...

Design, build and maintain scalable data pipelines and data platforms Develop analytics and AI-enabled solutions that support business decision-making Create and implement machine learning and generative AI solutions Integrate data from multiple sources while ensuring data quality and reliability Work closely with analysts, product teams … similar Strong programming skills in Python and SQL Experience building data pipelines and working with both structured and unstructured data Knowledge of AI, machine learning or generative AI technologies Exposure to frameworks such as TensorFlow, PyTorch, LangChain or similar Experience working with cloud based data platforms and modern ...

permanently in the Search Retrieval team. Within this role, you’ll be working in the cross-functional team in partnership with mobile, web and machine learning/data science teams to drive the team to success. Responsibilities: As a Backend Engineer within this team, you can expect … impacting product team and playing an integral role in improving how we help users find products they will love You have a passion for learning new things and growing your skills within a collaborative environment Familiarity with a high-level programming language (e.g. Python, Scala). You have ...

simulates consumer behaviour at scale, enabling Kantar’s products to test scenarios and predict outcomes before they happen.What you’ll be doingDeveloping and deploying machine‐learning models in production environmentsWorking end‐to‐end across the data science lifecycle: problem definition, modelling, deployment and monitoringAnalysing new and existing data … working as a data scientist on real‐world, production problemsStrong Python skills (or a similar language used in applied data science)Experience with supervised learning and unsupervised techniques such as anomaly detectionExposure to cloud‐based model training, deployment and automationA strong sense of ownership and accountability for data science ...

behaviour at scale, enabling Kantar's products to test scenarios and predict outcomes before they happen. What you'll be doing Developing and deploying machine‐learning models in production environments Working end‐to‐end across the data science lifecycle: problem definition, modelling, deployment and monitoring Analysing … data scientist on real‐world, production problems Strong Python skills (or a similar language used in applied data science) Experience with supervised learning and unsupervised techniques such as anomaly detection Exposure to cloud‐based model training, deployment and automation A strong sense of ownership and accountability for data science ...

behaviour at scale, enabling Kantar’s products to test scenarios and predict outcomes before they happen. What you’ll be doing Developing and deploying machine‐learning models in production environments Working end‐to‐end across the data science lifecycle: problem definition, modelling, deployment and monitoring Analysing … data scientist on real‐world, production problems Strong Python skills (or a similar language used in applied data science) Experience with supervised learning and unsupervised techniques such as anomaly detection Exposure to cloud‐based model training, deployment and automation A strong sense of ownership and accountability for data science ...

design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering … align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience ...

degree in Computer Science, Data Science, Data Analytics, Engineering, or a related technical field.Proven experience leading and developing technical teams within Data, AI, Machine Learning, Analytics, or Software Engineering environments.Demonstrated success managing people, coaching team members, and building high-performing teams.Experience leading teams operating in Agile, Lean … driving operational improvements.Strong problem-solving and decision-making skills with the ability to balance technical, business, and people considerations.Experience working with data platforms, machine learning workflows, and modern software development practices.Experience with Document Intelligence, AI-powered automation, Agentic AI solutions, DevOps, MLOps, and Responsible AI practices.Preferred QualificationsPrevious experience ...

work and finding a balance between perfection and practicality.FTI's AI build team is technology-agnostic with software engineering expertise to deploy advanced ML/AI methodologies at scale. Our engagements include using NLP for automated document classification, geospatial modeling of electric vehicle demand, demand forecasting, predictive maintenance, price optimization … simultaneously managing smaller projects or workstreams on larger projects. You will showcase your expertise across a number of technical areas including programming, AI/ML and best practices.What You’ll DoData ManagementDevelop and oversee comprehensive ETL processesDesign and maintain functional relational databasesStructure and perform quality control procedures for data ingestion ...

lending decisions, enhance customer outcomes and support sustainable portfolio growth. Combining traditional data science techniques with practical commercial application, you’ll leverage modern analytics, machine learning and AI-assisted development tools to accelerate model development, improve decision making and deliver tangible business value. You’ll collaborate with stakeholders … Support the development of provisioning, forecasting and portfolio monitoring methodologies. Analyse customer, bureau, affordability and behavioural data to identify trends, risks and opportunities. Utilise machine learning and AI-assisted development techniques to accelerate model development and improve analytical efficiency. Produce robust model documentation, validation reports and governance materials. ...

Leveraged AI‐assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML‐powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context‐appropriate automated testing to inform software design choices and catch bugs … balance technology choices while delivering high‐quality work within deadlines Leading architecture and software design discussions Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Generating new potential solutions to challenges (technical and non‐technical) in partnership with ...

work and finding a balance between perfection and practicality.FTI's AI build team is technology-agnostic with software engineering expertise to deploy advanced ML/AI methodologies at scale. Our engagements include using NLP for automated document classification, geospatial modeling of electric vehicle demand, demand forecasting, predictive maintenance, price optimization … languages: SQL including strong knowledge of database structure and efficiency.Proficiency in the following version control language: GitProficiency in any of the following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and SpacyExperience in of any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes.Experience with working ...

Data Scientists and Engineers. You will take ownership of the platform that enables us to transition from complex exploration to full-stack, production-grade machine learning products, ensuring our solutions are high-performing, scalable, and seamlessly integrated into diverse client environments.What you'll be doing:Taking ownership … flexible solutions for our global clients.Scaling our internal enablement capabilities, acting as an entrepreneurial force that removes technical friction and accelerates the deployment of machine learning.Who we're looking for:You are a Software Engineer who is passionate about building internal tools and takes pride in creating the foundational ...

foundations behind our AI-driven financial solutions. You will be responsible for designing, building and maintaining the software infrastructure that supports our large-scale machine-learning applications. Your work will directly influence the reliability, scalability and performance of the proprietary tools used by our clients. This … work both from the office and remotely as needed. What you will do Design, build and maintain robust software infrastructure for large-scale machine-learning applications. Troubleshoot complex technical issues across software and infrastructure. Manage and optimise databases supporting AI-driven financial solutions. Improve programming workflows and system ...