326 to 350 of 2,961 Machine Learning Jobs in the UK

to the environments developers prefer, which enable them to unlock the full potential of our architecture. We are looking for software engineers who are passionate about empowering developers delivering machine learning experiences on Arm. Our team looks holistically at developer challenges, delivering tools that support model selection, training, profiling, deployment, hardware configuration, and visualisation. This is a unique … and experience : • Experience with the technologies below is helpful, but a willingness to learn is more important, and we actively support that growth. • Experience shipping real products to customers • ML Design and Deployment: Familiarity with designing, training, optimizing, and deploying machine learning models using frameworks like PyTorch, JAX, LiteRT, HuggingFace Transformers, or commercial APIs. • Containerisation: Experience with cloud … origin, disability, or status as a protected veteran. Company: ARM Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , NLP , United Kingdom More ❯

the future of the BBC. WHY JOIN THE TEAM Working in a team of around 15 Data Scientists, you will be involved in a wide variety of data and machine learning projects. You will be part of a wider team of highly skilled data professionals and engineers and interact regularly with researchers to contribute to high impact projects. … You'll have the opportunity to get involved with the wider data science community and further develop your skills, through dedicated learning & development time. YOUR KEY RESPONSIBILITIES AND IMPACT Select the appropriate statistical and algorithmic approach to solve a given problem, including ad-hoc simple models, proof of concepts as well as long term complex productionised models Combine data … from a variety of sources, from digital activity to panel data, using SQL to interact with our Cloud databases Use our in-house data and machine learning platform, programming in R or Python Interact with stakeholders from a wide range of BBC departments, present data and modelling insights, and incorporate their feedback Keep up to date with latest 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 ❯

The COE will focus on nurturing Al talent, fostering knowledge sharing, and continuously evolving Al practices across the organization Location: Chennai, Onsite Experience: • 11+ years of experience in Al, machine learning, or data science , with a proven track record of delivering Al solutions. • 7+ years of experience in a leadership or architecture role, ideally with some experience in … such as TensorFlow, PyTorch, Scikit-learn, and cloud platforms like AWS, Azure, or Google Cloud. • Experience in multiple industries is advantageous (e.g., healthcare, finance, retail). Skills: AI/ML Expertise: Strong understanding of machine learning algorithms, deep learning, natural language processing, computer vision, and data-driven problem-solving techniques. Architecture Skills: Proven ability to design and … projects, ensuring high standards in solution design, integration, and deployment. Consulting and Advisory: Work closely with stakeholders to identify business requirements and translate them into Al-powered solutions, including machine learning models, data pipelines, and Al- driven processes. Platform Selection and Integration: Evaluate and select appropriate Al tools, platforms, and technologies to meet business goals. Oversee integration with More ❯

of our Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Operations Research, Machine Learning, Statistics and Econometrics models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with other Supply Chain Optimization Technology … model improvements and results in an ever-changing operational environment. As an Applied Scientist, you will design, develop and deploy robust and scalable scientific solutions via Operations Research and Machine Learning algorithms, especially in the context of stochastic customer demand and other sources of uncertainty requiring to move past deterministic and linear optimization. You will partner with other … and clearly communicate results and recommendations to leadership - Act as an active member of the science community by researching, applying and publishing internally/externally the latest OR/ML techniques from both academia and industry BASIC QUALIFICATIONS - Master's degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative 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 ❯

offerings in the market. What you'll be doing: Designing and maintaining scalable data pipelines and infrastructure to support structured, analysis-ready data Designing and deploying end-to-end machine learning models from data preparation and feature engineering to model training, evaluation, and monitoring Overseeing a team of three data analysts and collaborating closely with business analysis and … of Lumina Intelligence insight platforms. Collaborating with stakeholders to identify opportunities for automation, efficiency, and product innovation through data Staying up-to-date with emerging tools and research in machine learning, AI, and LLMs, bringing new technology into the team's toolkit and championing responsible use across the business Driving the evolution of the data team including ways … share a vision and influence across functions Strong people leadership skills with a focus on mentoring, providing actionable feedback, and supporting career growth within the team Proven experience with machine learning, LLMs, or other AI-driven systems including deploying, monitoring, and fine-tuning models in production Advanced proficiency in Python for data analysis, machine learning, and More ❯

offerings in the market. What you'll be doing: Designing and maintaining scalable data pipelines and infrastructure to support structured, analysis-ready data Designing and deploying end-to-end machine learning models from data preparation and feature engineering to model training, evaluation, and monitoring Overseeing a team of three data analysts and collaborating closely with business analysis and … of Lumina Intelligence insight platforms. Collaborating with stakeholders to identify opportunities for automation, efficiency, and product innovation through data Staying up-to-date with emerging tools and research in machine learning, AI, and LLMs, bringing new technology into the team's toolkit and championing responsible use across the business Driving the evolution of the data team including ways … share a vision and influence across functions Strong people leadership skills with a focus on mentoring, providing actionable feedback, and supporting career growth within the team Proven experience with machine learning, LLMs, or other AI-driven systems including deploying, monitoring, and fine-tuning models in production Advanced proficiency in Python for data analysis, machine learning, and More ❯

offerings in the market. What you'll be doing: Designing and maintaining scalable data pipelines and infrastructure to support structured, analysis-ready data Designing and deploying end-to-end machine learning models from data preparation and feature engineering to model training, evaluation, and monitoring Overseeing a team of three data analysts and collaborating closely with business analysis and … of Lumina Intelligence insight platforms. Collaborating with stakeholders to identify opportunities for automation, efficiency, and product innovation through data Staying up-to-date with emerging tools and research in machine learning, AI, and LLMs, bringing new technology into the team's toolkit and championing responsible use across the business Driving the evolution of the data team including ways … share a vision and influence across functions Strong people leadership skills with a focus on mentoring, providing actionable feedback, and supporting career growth within the team Proven experience with machine learning, LLMs, or other AI-driven systems including deploying, monitoring, and fine-tuning models in production Advanced proficiency in Python for data analysis, machine learning, and More ❯

Job Title: Data Scientist Job Type: Permanent Location: York or Manchester (UK) About the Role This role offers the opportunity to work across diverse business areas, building machine learning and statistical solutions that drive real business value. You'll join a cross-functional team of data scientists, engineers, and analysts using agile methods. As a Data Scientist, you … build models and communicate their value clearly to the business. Key Responsibilities Apply the full data science lifecycle: from problem design to model deployment and monitoring. Build production-grade machine learning models and manage their lifecycle (monitoring, retraining, etc.). Analyse diverse datasets (internal and 3rd party), applying statistical and machine learning methods. Collaborate with pricing … genuine interest in data science and analytics. Proficiency in Python and familiarity with testing frameworks (e.g., pytest). Ability to work both independently and in collaborative teams. Understanding of machine learning applications to business problems. Strong communication and presentation skills. Experience with version control and software development practices. More ❯

with the data director, you will join to manage a small (but growing) team, remaining hands-on you will help bring a more sophisticated approach to data science and machine learning across the business. Key projects the team are working on currently: Dynamic pricing algorithms for the website Recommender systems NLP and classification Customer and marketing behaviour (LTV … few months will be to make their current product pricing algorithms better! YOUR SKILLS AND EXPERIENCE You must have: An MSc or Ph.D. in a STEM topic with a machine learning focus Experience of working with large volumes of data (preferably online data) Expert knowledge of Python Working knowledge of GCP (other cloud tools fine) Knowledge of pricing … is required for this role Excellent stakeholder management skills Experience in leading teams of data scientists who are responsible for deploying machine learning into production. THE BENEFITS £110,000 - £120,000 + Benefits HOW TO APPLY Please register your interest by sending your CV via the Apply link on this page. For details on similar roles please contact More ❯

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational … Physics AI models to enable our customers to build better, faster, and cheaper. As a member of the delivery team, you'll work directly with customers, data scientists, and machine learning engineers to develop applications that change the way advanced engineering gets done. We're looking for someone who can grasp advanced engineering concepts across multiple industries, fundamentally … understand their problems and build applications which change the way they do engineering. What a day might look like Collaborate with cross-functional teams: Collaborate with data scientists and machine learning engineers to ship physics models to our customers in a way that delivers maximum value. Work with designers and front-end engineers to shape the UX in More ❯

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational … our Physics AI models to enable our customers to build better, faster, and cheaper. As a member of the delivery team, youll work directly with customers, data scientists, and machine learning engineers to develop applications that change the way advanced engineering gets done. Were looking for someone who can grasp advanced engineering concepts across multiple industries, fundamentally understand … understand their problems and build applications which change the way they do engineering. What a day might look like Collaborate with cross-functional teams: Collaborate with data scientists and machine learning engineers to ship physics models to our customers in a way that delivers maximum value. Work with designers and front-end engineers to shape the UX in More ❯

and Lloyds Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing, retail and machine learning teams to provide insight across the business Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market Identify and create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the … Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion or retention Adapt known machine learning techniques such as GBMs to create solutions/models that are state-of-the-art and go beyond business requirements Work collaboratively with other teams to identify More ❯

and Lloyds Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing, retail and machine learning teams to provide insight across the business Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market Identify and create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the … Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion or retention Adapt known machine learning techniques such as GBMs to create solutions/models that are state-of-the-art and go beyond business requirements Work collaboratively with other teams to identify More ❯

or visualization Experience with PAI Experience in Python or Java, and using tools such as Spark or Databricks, to support large-scale data processing, analysis, and visualization Experience with machine learning, automation, and artifi cia l intelligence techniques applied to data analysis Experience working with the national intelligence community and DoD Joint structure Knowledge of geo-enabled datasets … designing or customizing tools to optimize data mining, cleaning, and analysis workflows Experience supporting intelligence analysis related to African political, security, or socio-economic issues Knowledge of NLP and machine learning methods applied to intelligence use cases Possession of excellent communication skills Possession of excellent organizational and time management skills Possession of excellent client-facing and stakeholder e … or visualization Experience with PAI Experience in Python or Java, and using tools such as Spark or Databricks, to support large-scale data processing, analysis, and visualization Experience with machine learning, automation, and artifi cia l intelligence techniques applied to data analysis Experience working with the national intelligence community and DoD Joint structure Knowledge of geo-enabled datasets 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 prestigious research centre is seeking a talented developer with expertise in image analysis and machine learning to bring their skills to bear on cutting edge research. There is flexibility towards either a purely engineering or research role. You will work on a range of projects relating to image analysis in the life sciences, to advance the state … of the art. The team use a variety of evolving and experimental image processing and machine learning techniques, starting from modelling in tools including MATLAB through to development of image analysis (2D, 3D and 4D) and machine learning software in Python. Datasets are vast (terabytes to petabytes) and significant computational power and HPC is available. You … alongside researchers with diverse backgrounds. Adaptability given rapidly evolving techniques. Strong algorithm development and software engineering ability, particularly around computational modelling for image analysis, image processing and/or machine learning (ideally CNNs for volumetric data). Increasingly, software architecture is a consideration. Python, TensorFlow, Keras, PyLattice or similar technologies would be indicative; additional languages such as C++ More ❯

Back End Engineer - Java, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence (Remote or Hybrid - You choose!) Back End Engineer :- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that … knowledge of Cloud Technologies (AWS) and Microservices Degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. Experience or interest in AI or Machine Learning Salary for the Back End Engineer (Java) will depend on experience, but expect between £45,000 and £65,000 + Pension + benefits Other benefits include:- Free … games etc.) The latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. Back End Engineer - Java, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence (Remote or Hybrid - You choose!) Applicants must have the right to work in the UK, no sponsorship is offered for this role More ❯

recruitment pipelines, source top data science candidates, build lasting relationships and contribute to our continued growth as a business. Company Snapshot Higher specialises in placing exceptional data science and machine learning talent in the hardest to fill vacancies. We work with companies of every shape and size, offering bespoke end-to-end recruitment services and the opportunity to … plug into our unrivalled global network of data scientists, machine learning engineers, data engineers and data leaders. Higher has become synonymous with quality. We strive to provide an unmatched level of service to all our clients, demonstrating the enduring value of long-term recruitment partnerships in the competitive AI & Data Science market. Our slogan is ‘raising the bar … and be empowered to live a fully integrated life. Job Description As an Executive Search Consultant , you will be immersed in the most cutting-edge fields of technology – AI & machine learning. Developments in this space are fundamentally transforming how we live our lives, how businesses operate and how they deliver products to consumers. You will learn about these developments More ❯

recruitment pipelines, source top data science candidates, build lasting relationships and contribute to our continued growth as a business. Company Snapshot Higher specialises in placing exceptional data science and machine learning talent in the hardest to fill vacancies. We work with companies of every shape and size, offering bespoke end-to-end recruitment services and the opportunity to … plug into our unrivalled global network of data scientists, machine learning engineers, data engineers and data leaders. Higher has become synonymous with quality. We strive to provide an unmatched level of service to all our clients, demonstrating the enduring value of long-term recruitment partnerships in the competitive AI & Data Science market. Our slogan is ‘raising the bar … and be empowered to live a fully integrated life. Job Description As an Executive Search Consultant , you will be immersed in the most cutting-edge fields of technology – AI & machine learning. Developments in this space are fundamentally transforming how we live our lives, how businesses operate and how they deliver products to consumers. You will learn about these developments More ❯

human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. … This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and … multi-omics data. Perform data integration to uncover disease mechanisms and identify actionable targets. Design statistical models for analysing transcriptomics and other omics datasets. Collaborate closely with experimental and machine learning teams to validate computational insights. Present findings and methodologies to internal stakeholders and contribute to publications. Professionally, you have PhD in computational biology, bioinformatics, or a related More ❯

Job Description Summary - Understands complex and critical business problems from various stakeholders and functions. Formulates integrated analytical approaches to mine data sources, employs statistical methods and machine learning algorithms to address unmet medical needs, discover actionable insights, and automate processes to reduce effort and time for repetitive tasks. Manages the definition, implementation, and adherence to the data lifecycle … internal and external partners. Key Accountabilities: Contribute to planning, executing, interpreting, validating, and communicating exploratory analyses and algorithms to facilitate decision-making. Provide technical expertise in data science and machine learning/AI to identify opportunities influencing internal decisions and regulatory discussions. Perform hands-on analysis of integrated clinical trial and real-world data to generate evidence supporting … science, biostatistics, or a related quantitative field (or equivalent). Experience in clinical drug development, especially clinical trials. Strong knowledge of statistical methods such as time-to-event analysis, machine learning, meta-analysis, mixed-effects and longitudinal modeling, Bayesian methods, variable selection techniques (e.g., lasso, elastic net, random forest), and clinical trial design. Proficiency in R and Python 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 ❯