1,151 to 1,175 of 2,509 Machine Learning Jobs in England

with clients in industries such as finance, automotive, or technology is advantageous. Previous experience consulting, working as a freelancer or within an agency environment. Familiarity with building AI/ML features. To apply for this role please email with your CV and links to any other appropriate references e.g. Github. Thank you. You're closer than you think Start your More ❯

data pipelines, data connectors, and integration Deep understanding of data governance, regulatory compliance, and best practices for securing sensitive and global datasets. Hands-on experience integrating advanced AI/ML capabilities into operational and analytical data platforms. Extensive knowledge of modern data orchestration and workflow technologies (e.g., Airflow, Kubeflow), and infrastructure automation frameworks (Terraform, CloudFormation). Demonstrated leadership in managing More ❯

infrastructure. Excellent communication and collaboration skills in English. Massive bonus if you have: Good understanding of Event Sourcing and exposure to event-driven development. Experience in applying AI/ML to solve customer problems. About Us Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector. Founded in 2009, we are headquartered in London More ❯

AIML - Site Reliability Engineer (SRE), Siri Knowledge Platforms London, England, United Kingdom Machine Learning and AI Description As an SRE in the AI/ML organisation within Apple, you will be directly responsible for the infrastructure that powers Siri, search, and other high-impact user-facing solutions running on millions of Apple devices worldwide.We strive to improve the More ❯

with AI Agents." LILT's co-founder John Denero, and employees Joern Wuebker and Thomas Zenkel, were approved for U.S. Patent for their neural word alignment process, significantly advances machine translation by preserving formatting accuracy. Check out all our news on our website . About LILT LILT was founded by Spence and John, who met at Google working on … used for enterprise products and services inside the company and left to start a new company to address this need - LILT. At its core, LILT has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn't meet the quality standard for enterprise translations, so LILT assembled a More ❯

or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of … become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example … supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a More ❯

or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of … become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example … supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a More ❯

Our belief is that collaborative open source development is a critical foundation for companies creating impactful technologies and competing at a global level. As a Software Engineer (AI/ML) you will help build smart systems, and their components, that leverage the latest open source artificial intelligence and machine learning technologies to solve real world challenges. Open development More ❯

at the perfect moment; serving over 230K sports teams across 40+ sports, including 11K+ professional teams. We're looking for a Staff Quality Assurance Engineer to deliver AI/ML solutions at scale by providing technical quality leadership for Quality Assurance Engineers, Software Engineers and Data Scientists across the AML squads, as well as our QA chapter as a whole. … and excellence in software quality. Curiosity. You continuously scout emerging technologies and best practices to ensure you and your team are being efficient with product reliability. Global mindset. Our ML team is currently spread across the U.S. and Europe, so remote collaboration skills will be part of the job. Nice-to-Haves: ML sports industry experience. If you've used … AI/ML in sports to generate data and/or create insights, that's a plus. Our Role Champion work-life harmony . We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you More ❯

at the perfect moment; serving over 230K sports teams across 40+ sports, including 11K+ professional teams. We're looking for a Staff Quality Assurance Engineer to deliver AI/ML solutions at scale by providing technical quality leadership for Quality Assurance Engineers, Software Engineers and Data Scientists across the AML squads, as well as our QA chapter as a whole. … and excellence in software quality. Curiosity. You continuously scout emerging technologies and best practices to ensure you and your team are being efficient with product reliability. Global mindset. Our ML team is currently spread across the U.S. and Europe, so remote collaboration skills will be part of the job. Nice-to-Haves: ML sports industry experience. If you've used … AI/ML in sports to generate data and/or create insights, that's a plus. Our Role Champion work-life harmony . We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you More ❯

more paying customers through global partnerships. Bango revolutionized the monetization of digital content and services, by opening-up online payments to mobile phone users worldwide. Today, the Digital Vending Machine is driving the rapid growth of the subscriptions economy, powering choice and control for subscribers. The world's largest content providers, including Amazon, Google and Microsoft trust Bango technology … to reach subscribers everywhere. Bango, where people subscribe. Role As Product Data Analyst you will play a key role in building the Bango Digital Vending Machine that makes Bango the place where people subscribe. Reporting to VP Product, you will play a pivotal role in supporting discovery of new product ideas using data. You will analyze and identify trends … turning raw data into actionable insights that drive strategic decisions across the business. Responsibilities Discover opportunities in data for Bango to drive the performance of the Bango Digital Vending Machine and new data product opportunities. Conduct in-depth exploratory, descriptive, and diagnostic analysis to identify patterns, trends, and anomalies. Build and maintain dashboards and reports to track key performance More ❯

impact challenges, from demand forecasting and energy usage optimisation, to predictive maintenance and sustainability modelling. Collaborating with data engineers, product teams, and energy specialists, you'll design and deploy machine learning models that enable smarter grid management, better customer insight, and greener energy solutions. What's in it for you? Hybrid working model with flexibility to suit your … driven team at the forefront of energy tech Support for continuous learning , certifications, and personal growth Skills and Experience Strong background in Python and SQL , with solid applied ML experience Experience working with time-series data , forecasting, or optimisation models Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) Strong communication skills and ability to collaborate with cross-functional More ❯

by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example … supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a More ❯

different audiences (including writing specs, knowledge base articles, and release notes) You have experience and/or desire to develop skills in the areas of accessibility, using AI/machine learning, use of data analytics, accessibility, mobile app development You love solving problems, have an inquisitive mind, and are highly logical and technical in your thinking and approach … experienced and successful colleagues and leaders We promise to offer career development and progression opportunities as the business continues to grow We provide access to a wide variety of learning resources & materials (including LinkedIn Learning licence), plus an individual annual training budget which can be spent towards your own professional development Great benefits including a Bonus Scheme, Company More ❯

different audiences (including writing specs, knowledge base articles, and release notes) You have experience and/or desire to develop skills in the areas of accessibility, using AI/machine learning, use of data analytics, accessibility, mobile app development You love solving problems, have an inquisitive mind, and are highly logical and technical in your thinking and approach … experienced and successful colleagues and leaders We promise to offer career development and progression opportunities as the business continues to grow We provide access to a wide variety of learning resources & materials (including LinkedIn Learning licence), plus an individual annual training budget which can be spent towards your own professional development Competitive base salary Great benefits including a More ❯

around the world to protect millions of customer accounts and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention in the industry. We stop fraud, not customers. See what others … results, and takes corrective action when necessary. Technical Proficiency : Possesses a solid understanding of their role and responsibilities, demonstrating competence in performing tasks and utilizing relevant technical skills. Continuous Learning : Takes personal responsibility for learning and development. Recognizes personal strengths and areas for improvement, actively seeks feedback, and embraces opportunities to learn. Effective Communication : Demonstrates strong facilitation and More ❯

platforms, and global partners. Developing GPU-powered algorithms for high-performance modelling at scale. Exploring applications of Large Language Models (LLMs) in media and measurement contexts. Designing and implementing machine learning solutions that enhance our product capabilities and operational intelligence. As part of a collaborative and technically strong team, you’ll work closely with engineers, product managers, and … world impact—this is a great fit for someone who wants to build, experiment, and push boundaries in applied data science. Key Responsibilities Design, prototype, and optimise statistical and ML models for integration into production workflows. Explore and apply LLMs and emerging AI techniques to enhance media and audience measurement use cases. Collaborate with cross-functional teams to ensure model … in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or More ❯

platforms, and global partners. Developing GPU-powered algorithms for high-performance modelling at scale. Exploring applications of Large Language Models (LLMs) in media and measurement contexts. Designing and implementing machine learning solutions that enhance our product capabilities and operational intelligence. As part of a collaborative and technically strong team, you’ll work closely with engineers, product managers, and … world impact—this is a great fit for someone who wants to build, experiment, and push boundaries in applied data science. Key Responsibilities Design, prototype, and optimise statistical and ML models for integration into production workflows. Explore and apply LLMs and emerging AI techniques to enhance media and audience measurement use cases. Collaborate with cross-functional teams to ensure model … in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or More ❯

the company’s data strategy and develop AI-driven features that elevate their platform. The Role You’ll lead on the full data lifecycle - from pipeline development to deploying machine learning models. Working closely with product and commercial teams, you’ll drive innovation … through LLMs and advanced analytics, while mentoring a small team and aligning data solutions with business growth. Key Responsibilities Build and optimise data pipelines and infrastructure Design and deploy ML models, including LLM-powered features Mentor junior data scientists and foster team development Align data science with product and business strategy Identify opportunities for automation and platform enhancements About You More ❯

the company’s data strategy and develop AI-driven features that elevate their platform. The Role You’ll lead on the full data lifecycle - from pipeline development to deploying machine learning models. Working closely with product and commercial teams, you’ll drive innovation … through LLMs and advanced analytics, while mentoring a small team and aligning data solutions with business growth. Key Responsibilities Build and optimise data pipelines and infrastructure Design and deploy ML models, including LLM-powered features Mentor junior data scientists and foster team development Align data science with product and business strategy Identify opportunities for automation and platform enhancements About You More ❯

venture-backed by 8VC + Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning, and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup environment. The role We are More ❯

substandard performance. Enhance system and service reporting to understand and communicate user experience with internal and external stakeholders. Keep automation at the forefront of all activities. Implement AI/ML to support service performance monitoring, reporting and root cause analysis. What It Takes : A degree in a quantitative discipline, such as Mathematics, Computer Science or equivalent. Demonstrated experience in data … analysis (2+ years). Excellent verbal and written communication skills. Experience with and understanding of: Version control - Git, GitHub Use of databases - Snowflake, postgresql or mysql Data Science techniques - Machine Learning, Artificial Intelligence, Statistical algorithms Cloud technologies - AWS or GCP What We'd Love: Experience of working across functional teams Masters or PhD in applied data science. Where More ❯

next generation of IT consulting. Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Job Description As a Senior Business Consultant at … our Global Digital Enablement and User Centered service Design Centre of Excellence (CoE). We take pride in our delivery, and you will be part of our delivery teams learning our successful approach and methodology. You get to work and learn from our global teams delivering similar critical services. Your personal growth is anchored in the Netcompany Academy, supplemented More ❯

technologies that enable our customers to build the future. What if I don't meet all the requirements? That's okay! We hire people who have a passion for learning and are curious. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical, leadership, business and consulting skills. … the adoption of appropriate AWS technology. You will help shape and design solutions covering a spread of domains from migration of core enterprise applications to working with AI/ML, microservices, containers, app development, IoT to name a few. The ability to learn new technology and develop industry relevant architectures and convey business value is critical to the role. Building … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously More ❯

biomedical data analysis. You'll be joining a small, agile team working on projects ranging from genomic data interpretation to clinical trial optimization . Key Responsibilities: Build and deploy ML models using Python , scikit-learn , and PyTorch Work with structured and unstructured biomedical datasets (e.g. genomic sequences, patient records, imaging) Collaborate with bioinformaticians and clinical researchers to translate data into … actionable insights Contribute to the development of internal tools for data preprocessing , feature engineering , and model evaluation Requirements: 3+ years of experience in data science or ML, ideally in biotech or healthcare Strong Python programming skills and experience with ML libraries Familiarity with Jupyter , Pandas , NumPy , and MLFlow Experience working with clinical or biological datasets is a big plus Comfortable … working in a fast-paced, research-driven environment Bonus Skills: Knowledge of genomics , bioinformatics , or clinical trials Experience with Docker , Kubernetes , or cloud ML pipelines (AWS/GCP) This is a high-impact role with immediate visibility across R&D and data teams. Interviews are being scheduled soon - apply now or refer someone in your network More ❯