501 to 525 of 4,511 Machine Learning Jobs in England

understanding of marketplace dynamics. This role involves advanced data mining and analytics, robust product and data validation, and the development of statistical and machine learning-based methodologies.The ideal candidate will have a strong ability to independently research, develop, and maintain high-impact solutions that align Cint’s capabilities … core machine learning techniques (e.g., clustering, regression, decision trees, neural networks) and their real-world tradeoffs.Proficiency in Python (for statistical and ML tools) and SQL (working with large-scale databases).Comfortable researching and adopting new methods, tools, and techniques.Essential Qualities:Highly accountable self-starter and quick learner, motivated ...

Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting … hands-on contributor, working closely with experienced engineers to build reliable, high-performance systems across devices, cloud platforms, and applied ML, contributing to real-world, field-deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your ...

assembly, binning, and functional characterisation of genomes from metagenomic sequencing data. Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space. Work with bioinformaticians and software engineers to implement methods in scalable, reproducible and modular workflows. Perform rigorous … technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organization. Requirements Three core technical skillsets for this role: bioinformatics algorithm development, machine learning methods, and microbial genomics. Strong candidates will have significant experience in at least two of these three areas, and experience ...

methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services, Payments and CIB Treasury team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job SummaryAs an Associate/… tackling their most technically complex business problems. This could range from leveraging LLMs to deliver capabilities at scales never before possible, to developing ML applications that make business-critical predictions, to handling vast data sets using the J.P.Morgan's Cloud capabilities. You will be in tight partnership with the business ...

DoLead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement.Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes.Lead the modeling framework for complex systems, guaranteeing comprehensive evaluation … related quantitative field, or equivalent experience in practice.Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring.Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics.Hands-on experience in software engineering, MLOps ...

relational databases and SQL and ability to write and optimise simple SQL queries.Familiarity with applying Artificial Intelligence (AI) and Machine Learning (ML) techniques to optimise data pipelines, data quality monitoring or reporting processes.Exposure to Large Language Models (LLMs) and ability to experiment with fine-tuning or prompt engineering … solve business problems.Familiarity integrating AI/ML solutions into existing applications and workflows using APIs, SDKs or agent frameworks.Knowledge of Agile methodologies and experience working in Agile teams.Careful and methodical approach to writing and testing code.Basic to intermediate proficiency with Linux/Unix systems, command-line tools and scripting.Posting ...

relational databases and SQL and ability to write and optimise simple SQL queries. Familiarity with applying Artificial Intelligence (AI) and Machine Learning (ML) techniques to optimise data pipelines, data quality monitoring or reporting processes. Exposure to Large Language Models (LLMs) and must must must mandatory mandatory mandatory must … mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory etc. Familiarity integrating AI/ML solutions into existing applications and workflows using APIs, SDKs or agent frameworks. Knowledge of Agile methodologies and experience working in Agile teams. Careful and methodical ...

intersection of software engineering and machine learning operations. We’re hiring multiple engineers with complementary strengths across platform engineering and ML systems. No single person is expected to cover everything. Depth in one area, strong fundamentals, and the ability to collaborate effectively matter more than perfect overlap. Part … system architecture, improving reliability, resolving issues, and making sound trade-offs in areas such as database design and schema evolution. Another part focuses on ML systems: ensuring models run reliably, efficiently, and at scale, turning research into production-ready tools. This includes deploying, monitoring, and optimizing AI workloads using Python ...

accelerate our Future AI Infrastructure research area. You will bring key skills and experience in operating systems, performance, distributed systems, CPUs, GPUs, and machine learning. Good systems research happens when you build things to uncover hidden assumptions – your implementation skills are at the heart of this. You will collaborate … world-wide. This role is within the Research Engineering team at MSR Cambridge. Our team has broad experience spanning front-end, systems, networking and ML engineering at datacentre scale. We work across all the research areas in MSR Cambridge, deeply embedded in research projects.ResponsibilitiesCombine strengths in computer systems research ...

UniversalMusicCareers@umusic.com.**Department** Part of the Global Technology organization, the team’s mission is to design and build state of the art AI/ML tools to support and empower Royalty Manager & Artists, and industry professionals.The team covers the full design & development lifecycle, from explorative research to design to prototypes … products using APIs and custom fine-tuning.* Develop and maintain retrieval systems that operate efficiently at scale.* Explore frontier software engineering in AI/ML for media, and related opportunities for UMG.* Build on state-of-the-art cloud infrastructure.**Be collaborative*** Collaborate with the team and stakeholders to deliver ...

skills PhD in Computer Science, Engineering, or related fields with relevant research & work experience in AI/MLResearch publications in top-tier AI/ML venues (e.g., conferences, journals) – broad conferences such as NeurIPS, ICML, ICLR, etc., or highly regarded specialized conferences such as ICAPS, CRYPTO, etc. Deep understanding … fundamental AI/ML techniques and a strong grasp of current state of the art in specific areas of expertise. Effective verbal and written communication skills with the ability to address both technical and business audiences. Practical software development experience in collaborative project settings such as open-source projects ...

embedding model fine tuning Modern lexical retrieval approaches such as SPLADE Hybrid retrieval systems combining dense + sparse retrieval Query understanding and representation learning Multi-stage ranking and retrieval optimisation Retrieval-augmented generation (RAG) Personalization and contextual ranking Knowledge retrieval for agentic … systems Reinforcement learning and reasoning-aware retrieval systems LLM-integrated retrieval architectures You will apply best practices in Responsible AI, Privacy-Preserving ML, and scalability for production-grade enterprise systems. Drive Product Innovation Partner with Engineering, PM and Design to translate product requirements and research advances into scalable ...

Mexico City, MX, London, UK (hybrid -2 days onsite per week) The Team: The Collection Platforms & AI team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global and our clients. You will … high-impact problems end-to-end. Build end-to-end production-ready pipelines from ideation to deployment. Key Responsibilities Develop and deploy large-scale ML and GenAI-powered products and pipelines. Own all stages of the data science project lifecycle, including:Develop, deploy, monitor, and scale models through the full ...

Mexico City, MX, London, UK (hybrid -2 days onsite per week)The Team:The Collection Platforms & AI team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global and our clients. You will … high-complexity, high-impact problems end-to-end.Build end-to-end production-ready pipelines from ideation to deployment.Key Responsibilities Develop and deploy large-scale ML and GenAI-powered products and pipelines.Own all stages of the data science project lifecycle, including:Develop, deploy, monitor, and scale models through the full Software ...

summarisation, contextualisation and other processing of unstructured content. Most use cases are creative chains of multiple steps drawn from data processing, exploratory analysis, fundamental ML, NLP, SQL, LLMs and integration into our live systems. What you’ll do Lead the team Manage, coach and develop Penta’s Data Science team … will lead a team working at the frontier of applied AI and data science, combining production LLM workflows, advanced prompting, agentic tooling, NLP, ML and large‐scale content processing. You will set its direction, raise its delivery bar, grow its people through hands‐on coaching, and lead from the front ...

5+ years of hands-on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications. 5+ years of experience working with GitHub actions Proficiency in programming languages like Python or Typescript for test automation, and experience with modern testing … frameworks such as Playwright. Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is a big plus. Exceptional analytical ...

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets … complex business problems into software-engineered AI solutions- Deploying on cloud platforms like AWS, GCP, Azure- Contributing to open-source projects or AI/ML publicationTravel RequirementsNot SpecifiedJob Posting End DateThe salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range ...

production, working at the intersection of data science and engineering on GPS, inertial, and other sensor data.You'll move between quick heuristics and full ML models depending on what the problem calls for. You ship code to production, not just notebooks.RequirementsWhat You'll Be DoingWork with raw, high-frequency sensor … production: prototyping in notebooks, then writing the production-grade Python and SQL that scales.Prioritise simple, robust solutions, rule-based when that's enough, ML when it's warranted.Lead experiments, validate impact with data, and automate insight generation.Collaborate closely with software engineers, product managers, and and actuaries to get features into ...

Looking For: This opportunity is ideal for individuals interested in contributing to our team as a senior associate Software Engineering & ML/Data Engineer within State Street’s Global Technology Services organization. Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler … meaningful daily work: You'll take ownership of specific tasks and projects, gaining hands-on experience and building confidence through real contributions. A supportive learning environment: You'll exercise your judgment in a guided setting, with mentorship and supervision to help you grow. Focused skill development: This role ...

static and dynamic wallpapers, trivia, featured experiences, and AI-driven content initiatives — that reach millions of Roku users worldwide. You will leverage AI and machine learning technologies to develop new capabilities that enhance user experiences across the Roku platform. This role requires a proactive, ownership-driven approach where … solutionsWhat experience would help someone be successful in this role at Roku Extensive experience in a software engineering environmentDemonstrated project work using AI/ML and LLM technologiesProficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologiesExperience working in an embedded environmentExperience in productionising solutions ...

static and dynamic wallpapers, trivia, featured experiences, and AI-driven content initiatives — that reach millions of Roku users worldwide. You will leverage AI and machine learning technologies to develop new capabilities that enhance user experiences across the Roku platform. This role requires a proactive, ownership-driven approach where … solutionsWhat experience would help someone be successful in this role at Roku Extensive experience in a software engineering environmentDemonstrated project work using AI/ML and LLM technologiesProficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologiesExperience working in an embedded environmentExperience in productionising solutions ...

production scale. Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable. Co‐own with Product and business leaders the metric frameworks and decision workflows … testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit) You have hands‐on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring) You have advanced proficiency in SQL and Python, with ability to write clean ...

across global marketing campaigns on platforms such as Google, Meta and Apple.In This Role, You WillDrive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency.Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools.Translate complex technical concepts into … degree in Computer Science, Engineering, Data Science, or equivalent experience.6+ years of product management experience, ideally in marketing platforms, data products, and AI/ML applications.Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations.Excellent communication skills with the ability to influence cross-functional ...

production scale. Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable. Co‐own with Product and business leaders the metric frameworks and decision workflows … testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit). You have hands‐on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring). You have advanced proficiency in SQL and Python, with ability ...

used by analysts worldwide with direct visibility to your contributions• Modern technology stack – Work with Python, React, AWS, Kubernetes, and emerging AI technologies• Continuous learning – Training, certifications, conferences, and clear paths to senior/principal/architect tracks• Flexible environment – Work from our Manchester office with hybrid flexibility, competitive … with cross-functional teams and communicate technical concepts clearlyWhat Would Make You Stand Out:• AI and Machine Learning – Understanding of AI/ML concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications• Data Technologies – Experience with Kafka, PySpark, Parquet and Avro data formats, Apache Airflow ...