676 to 700 of 2,636 Machine Learning Jobs in England

Lecturer in Optimisation/Machine Learning, Queen Mary University of London, UK Applications are invited for a Lectureship in Optimisation and Machine Learning. We are seeking to appoint an outstanding candidate with a track record of applying rigorous research methods to address real-world problems. S/he will be expected to develop a research platform and More ❯

or features including engineering design, development, deployment, testing and maintenance. Develop production ready software to run on our vehicles and in the cloud Develop perception capabilities using tools from machine Learning, state estimation and robotics Develop tools and processes to evaluate and measure the performance of the perception system Work with the broader team to ensure that our … in a context of real-time Perception systems 10+ years of robotics, AV (Autonomous Vehicle), or other real-time, safety-critical experience Experience developing Perception algorithms using tools from machine learning, state estimation and/or robotics Effective communication and collaborative skills Company Statements Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal More ❯

You'll Do as a Senior Data Science Engineer Lead data science projects from conception to deployment, ensuring high-quality and timely delivery. Develop and implement statistical models and machine learning algorithms to solve complex business problems. Collaborate with cross-functional teams to integrate data science solutions into production systems. Mentor junior data scientists and provide guidance on … development, maintenance, and testing strategy of trading automation solutions, ensuring alignment with overall business objectives What You'll Bring Proven experience in data science, with a strong foundation in machine learning and statistical modeling. Experience developing LSTM-based models for sequential forecasting or behavioral modeling. Familiarity with probabilistic graphical models (e.g., Bayesian networks, Markov random fields) for structured More ❯

Are you skilled at bringing together technical experts in to work toward a shared technical vision in a data driven domain? Are you motivated to lead engineering on a machine learning powered product to deliver personalisation at scale for the LEGO Group? If that sounds like you join us! No relocation assistance is offered for this position. Core … experiences to LEGO Shoppers in an exciting, relevant, and ethical way. This team consists of data scientists, data engineers and software engineers who collaborate closely to build and serve machine learning recommendation models to power these new experiences at scale across all digital channels. As our Lead Engineer, your primary focus of driving the technical implementation for your … end Setting up and maintaining robust CI/CD pipelines Running highly available systems exposing data via API with strong observability practices Collaborating effectively across teams Nice to have ML engineering experience Experience supporting data scientists with tooling, workflows and model optimisation Domain driven design experience Applications are reviewed on an ongoing basis. However, please note we do amend or More ❯

and delivering impactful AI solutions, this is your opportunity to make a difference. We need you to help with a wide range of key products, ranging from our browser ML models, novel applications, on-device AI agents, performance evaluations, and collaborating closely with privacy and security researchers to protect the users from AI risks. About you An ideal candidate will … preferred, but we may consider some exceptions with industry experience Specific Skills Background and/or previous work in systems research and performance evaluation. Expertise in optimizing and evaluating ML models and/or privacy & security technologies for on-device performance. Experience with modern Machine Learning (ML) frameworks (e.g., Pytorch, TensorFlow, MLX, etc.). Skills That Will Set … You Apart from the Competition ML Systems (pipelines, performance evaluation, etc.) Open source projects on mobile/desktop systems optimization Experience with confidential computing and security/privacy protocols Ph.D. in computer science from a top-tier school A strong publication record in premier systems, performance, or ML Work experience in industry is desirable Working at Brave - What we offer More ❯

sustainability goals in various industries, Frontier empowers organisations to make informed decisions through AI-driven insights. Join us on this exciting journey of transforming decision-making with AI and machine learning, revolutionising how businesses thrive utilising Decision Intelligence. What you will be doing Collaborating with other Engineers in the team to develop and implement AI-driven software solutions. … and translate them into technical requirements. What we are looking for Demonstrable experience programming in Python Experience building maintainable code for software products Experience working with data scientists and Machine Learning Experience and understanding of Data Structures and Algorithms Experience leading junior engineers Outstanding verbal and written communication skills, ensuring inclusivity in all interactions. What we can offer More ❯

sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and document … like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas … e.g., due to a medical condition or sincerely-held religious belief). Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If More ❯

customer needs and business goals. Digital Channel Optimisation Lead the transformation of digital marketing channels (web, email, social, paid media) using AI for real-time optimisation and targeting. Implement machine learning models to enhance lead scoring, churn prediction, and conversion strategies. Drive experimentation and A/B testing using AI-powered platforms. Data-Driven Decision Making Establish KPIs … marketing or strategy roles, with at least 2 years focused on AI or martech innovation. Proven experience in fintech or financial services marketing. Strong understanding of AI technologies (e.g., machine learning, NLP, generative AI) and their marketing applications. Experience with platforms such as Salesforce, HubSpot, Segment, Adobe Experience Cloud, or similar. Excellent analytical, communication, and stakeholder management skills. More ❯

development experience with TypeScript and React for frontend development coupled with FastAPI/Flask for Python backend services, with additional OfficeJS API knowledge preferred Extensive knowledge of AI and machine learning ecosystems, including proficiency in modern RAG/Agent frameworks including Langchain/Langgraph, Llamaindex, Pydantic, Vercel AI SDK, and DSPY Strong analytical and problem-solving skills, with … pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which More ❯

a very much hands on role, the ideal candidate will have a logical thought process enabling you to grasp the complex logic of clients workflow which leverages Data Science, Machine Learning and AI. Skills Typescript expert with AWS NodeJS Computer Science Role You join an existing software team reporting to the Chief Technology Officer. Working on a world … class AWS event driven design that delivers high performing Artificial Intelligence and Machine Learning services. This will be a challenging and varied … position developing new features and APIs, performance optimisation, CICD and test suite improvement, updating core software and infrastructure libraries used across many client services, supporting Data Science and deploying ML systems. More ❯

data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations Essential Requirements A mathematics/… computer science background with knowledge of numerous machine learning models - some alternative degrees will be considered Experience with data visualisation tools (Power BI etc.) Exceptional Microsoft Office skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured environment which values initiative, creativity, maturity, poise More ❯

About the roleWe're looking for an experienced machine learning engineer to join us as the newest member of the Data Science Infrastructure team. The team is responsible for designing, developing, and maintaining the critical high-performance services that support our underwriting capabilities across the entire business. In addition we work closely with both the rest of the More ❯

ended projects and fostering a high-performance, collaborative culture. Technical Direction & Strategy: Shape the technical vision of the data engineering function, contributing deep expertise across big data, systems design, machine learning, and cloud infrastructure. Data Infrastructure & Optimisation: Oversee the development and maintenance of accurate, high-quality datasets and optimised codebases that support data products, pipelines, and scalable architectures. … teams in cloud-native environments Track record of delivering scalable data solutions aligned with business goals Hands-on experience with modern data platforms, pipelines, and governance frameworks Familiarity with machine learning workflows and data science enablement Experience working with cross-functional teams and external partners Although these roles are listed as full-time, if you're a job More ❯

for a graduate or junior analyst to join its structured early careers pathway. You'll be joining a dynamic, digitally forward-thinking organisation that's investing heavily in AI, machine learning, data visualisation and the Microsoft Azure ecosystem . This role will see you work across a range of impactful projects that blend traditional BI with emerging AI … solutions using Power BI, SQL, and ETL techniques, and learn Power Apps and Co-Pilot Building data models and visualising insights for business stakeholders Supporting early-stage AI/ML initiatives , such as process automation and predictive analytics Working in an agile , cloud-first environment using the latest Microsoft tools Collaborating with a growing team of data engineers, BI developers … and AI specialists Why join? One day a week for dedicated learning - work towards a Level 4 Data Analyst accreditation Structured progression: salary increases every six months up to 32k in two years A Friday early finish - the whole company logs off at 1:30pm Hybrid working: initially office-based in Middlesborough, then 3 days/week onsite A More ❯

for a graduate or junior analyst to join its structured early careers pathway. You'll be joining a dynamic, digitally forward-thinking organisation that's investing heavily in AI, machine learning, data visualisation and the Microsoft Azure ecosystem . This role will see you work across a range of impactful projects that blend traditional BI with emerging AI … solutions using Power BI, SQL, and ETL techniques, and learn Power Apps and Co-Pilot Building data models and visualising insights for business stakeholders Supporting early-stage AI/ML initiatives , such as process automation and predictive analytics Working in an agile , cloud-first environment using the latest Microsoft tools Collaborating with a growing team of data engineers, BI developers … and AI specialists Why join? One day a week for dedicated learning - work towards a Level 4 Data Analyst accreditation Structured progression: salary increases every six months up to £32k in two years A Friday early finish - the whole company logs off at 1:30pm Hybrid working: initially office-based in Middlesborough, then 3 days/week onsite A More ❯

You’ll collaborate with cross-functional teams to design, build, and implement data science solutions that directly feed into core product offerings. This is an exciting opportunity to apply ML and statistical techniques to real-world problems, while also developing in areas such as software engineering, data pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify … opportunities for ML and data science integration Build and maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques to reach accurate conclusions Work with data engineers to ensure clean, usable datasets Contribute … research new methods, and continually build your technical capability What We’re Looking For Proficiency in Python or similar languages for scripting and model building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences Awareness of Agile methodologies and collaborative software development practices A self More ❯

You’ll collaborate with cross-functional teams to design, build, and implement data science solutions that directly feed into core product offerings. This is an exciting opportunity to apply ML and statistical techniques to real-world problems, while also developing in areas such as software engineering, data pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify … opportunities for ML and data science integration Build and maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques to reach accurate conclusions Work with data engineers to ensure clean, usable datasets Contribute … research new methods, and continually build your technical capability What We’re Looking For Proficiency in Python or similar languages for scripting and model building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences Awareness of Agile methodologies and collaborative software development practices A self More ❯

the end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world production. Your work will sit at the cutting edge of Machine Learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. Why Join Us? Team - You'll join a world-class group … articulating complex ideas clearly to technical and non-technical audiences. Analyse and inspect large-scale datasets to support neural training and symbolic extraction. What We're Looking For: Deep learning expertise … with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep More ❯

develop conceptual, logical, and physical data models Architect the expansion of our data warehouse and BI capabilities, including data lakes and streaming Design data pipelines and structures optimized for machine learning models Evaluate and recommend data technologies, tools, and platforms Participate in the Technical Governance approach, submitting designs for review and participating in architectural standups, working sessions and … with BI developers and data analysts to optimize data structures Provide expert guidance and mentorship to data engineers and developers Stay abreast of emerging data technologies and AI/ML trends, proposing innovative solutions WHAT SKILLS DO I NEED? Extensive Data Architecture Experience in designing and implementing complex enterprise data architectures, data warehouses, and data lakes in a global retail … deep knowledge of various database technologies (relational, columnar, NoSQL) Practical experience in establishing data governance frameworks, data quality initiatives, and Master Data Management solutions Understanding of data requirements for machine learning, including feature stores, data versioning, and MLOps principles Familiarity with common retail data domains (e.g., customer, sales, inventory, product, supply chain, marketing data) Ability to translate complex More ❯

develop conceptual, logical, and physical data models Architect the expansion of our data warehouse and BI capabilities, including data lakes and streaming Design data pipelines and structures optimized for machine learning models Evaluate and recommend data technologies, tools, and platforms Participate in the Technical Governance approach, submitting designs for review and participating in architectural standups, working sessions and … with BI developers and data analysts to optimize data structures Provide expert guidance and mentorship to data engineers and developers Stay abreast of emerging data technologies and AI/ML trends, proposing innovative solutions WHAT SKILLS DO I NEED? Extensive Data Architecture Experience in designing and implementing complex enterprise data architectures, data warehouses, and data lakes in a global retail … deep knowledge of various database technologies (relational, columnar, NoSQL) Practical experience in establishing data governance frameworks, data quality initiatives, and Master Data Management solutions Understanding of data requirements for machine learning, including feature stores, data versioning, and MLOps principles Familiarity with common retail data domains (e.g., customer, sales, inventory, product, supply chain, marketing data) Ability to translate complex More ❯

develop conceptual, logical, and physical data models Architect the expansion of our data warehouse and BI capabilities, including data lakes and streaming Design data pipelines and structures optimized for machine learning models Evaluate and recommend data technologies, tools, and platforms Participate in the Technical Governance approach, submitting designs for review and participating in architectural standups, working sessions and … with BI developers and data analysts to optimize data structures Provide expert guidance and mentorship to data engineers and developers Stay abreast of emerging data technologies and AI/ML trends, proposing innovative solutions WHAT SKILLS DO I NEED? Extensive Data Architecture Experience in designing and implementing complex enterprise data architectures, data warehouses, and data lakes in a global retail … deep knowledge of various database technologies (relational, columnar, NoSQL) Practical experience in establishing data governance frameworks, data quality initiatives, and Master Data Management solutions Understanding of data requirements for machine learning, including feature stores, data versioning, and MLOps principles Familiarity with common retail data domains (e.g., customer, sales, inventory, product, supply chain, marketing data) Ability to translate complex More ❯

is a hands-on, delivery-focused leadership role-perfect for someone who thrives on innovation, collaboration, and making things happen. Projects range from client integrations and data warehousing to machine learning and real-time reporting. If you're excited about building systems from the ground up in a supportive, forward-thinking environment, this is your opportunity About you … and large datasets. A strong understanding of data governance, privacy, and security. An eagerness to work collaboratively across disciplines and solve real-world business problems with data. Experience in machine learning environments, supporting analysts using Python or R would also be good. The Perks 25 Days Holiday, increasing 1 day per year with service (up to 28) Option … Parking Rail and retail discounts 2 paid volunteering days per year Access to regular internal health, wellbeing, and ID&E events Formal and informal development opportunities, including mentoring and learning grants Enhanced parental leave (T&Cs apply) EDI at CAVU At CAVU, inclusion, diversity, and equity (ID&E) are fundamental. We want everyone to feel they belong here. We More ❯

functional and high-fidelity, cycle-accurate models of our optical compute system. This is a high-leverage role that sits at the intersection of hardware design, software tooling, and machine learning workloads-ideal for engineers who thrive on data-driven decisions, rapid iteration, and solving complex … performance challenges. Key Responsibilities End-to-End Ownership : Lead and deliver critical projects that enable major technical and business milestones. Cross-Functional Collaboration : Work closely with hardware, compiler, and ML framework teams to ensure performance models are both accurate and actionable. Simulator Development : Build and maintain a functional simulator of the OTPU pipeline and subsystems. Develop architectural and cycle-accurate … decisive insight. Preferred Qualifications Advanced degree (Master's or PhD) in Electrical Engineering, Computer Science, Physics, Applied Math, or a related field. Open-source or personal projects involving simulators, ML kernels, or performance analysis. This role offers a unique opportunity to shape the direction of optical compute at a foundational level. If you're excited to work at the cutting More ❯

of 50,000+ technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in Generative AI, electronic payments, cybersecurity, machine learning, and cloud development. Job Description Our technology organization is a world-class team employing an innovative, disciplined and business focused approach to develop a wide variety of … of 50,000+ technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in Generative AI, electronic payments, cybersecurity, machine learning, and cloud development. This role provides an exciting opportunity to work directly with J.P. Morgan's technology and business leaders to drive the firm's technology strategy. More ❯

Junior Full Stack Developer – early-stage start-up React Native, Node.js, TypeScript, ML, mobile apps £40-50k equity London - 2-3 days per week in the office We’re looking for a talented Junior Full Stack Mobile Application Developer to join a very small early-stage tech startup creating a sustainable future for travel. With VC funding secured and … developer/full stack software engineering role. The successful candidate will have an interest in machine learning and will grab the opportunity to get involved with an ML system which processes GPS data to understand user travel histories. The ability to learn quickly is more important than an exact match to all the technical skills. Requirements … Experience with Node.js for backend development Familiarity with modern frontend and backend frameworks A solid understanding of RESTful APls and mobile-to-server communication Adaptability and an interest in learning new things quickly as the business develops Nice-to-haves: Experience with the Expo framework for React Native Experience with MongoDB Knowledge of Fastify or similar Node.js web frameworks More ❯