126 to 150 of 2,703 Machine Learning Jobs in England

deliver enterprise-grade machine learning systems Collaborate with cloud and SRE teams to build robust production architectures Translate scientific research into scalable ML solutions Develop and deploy business-critical, data-intensive applications Implement distributed, multi-threaded, and scalable applications Build, test, and deploy automated pipelines for ML solutions … services for re-use across teams Apply best practices in software engineering and computer science Utilize MLOps tools for versioning, reproducibility, and observability Align ML problem definitions with business objectives Mentor and support team members, with optional management responsibilities Required Qualifications, Capabilities, and Skills: Experience in machine learning ...

KingdomCardiff,United KingdomEdinburgh,United Kingdom We are looking for a passionate AI Engineer specializing in Natural Language Processing (NLP) and Machine Learning (ML) to contribute to Data Enrichment efforts within Meltwater. As part of this role, you will work with experienced team members and product managers to design … evaluate machine learning and deep learning algorithms for Natural Language Processing/Understanding. Assist in the design, development, and testing of ML models and pipelines for real-time processing of unstructured data. Collaborate with senior team members to analyze the impact of algorithm changes. Learn and grow ...

capabilities of your peers, this role is for you. What You’ll Do Technical Leadership & Custom Implementation: Act as the technical lead for specific ML projects within your pod. Design and implement custom model components or loss functions that don't exist \"off-the-shelf\", breaking down massive research goals … production feature distribution shifts). Lead team‐level post‐mortems and resolve blocking corrective actions. Career Multiplier: Formally mentor mid‐level and associate ML scientists, reviewing their experimental logic to ensure high scientific rigor while guiding them through applied ML and production constraints. Skills & Experience Education: Master’s or Ph.D. ...

supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. This is a hands‐on, technical leadership role with high ownership. … will develop and deploy advanced speech systems that power our products as well as co‐define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase. What You’ll Do: Develop and deploy ML models, translating research into scalable, maintainable code ...

fine‐tuning, tailored to diverse product requirements. You will design and build production‐grade inference systems, working across Swift, Java, and Python to integrate ML capabilities seamlessly into Apple's ecosystem. As a senior technical contributor, you will set engineering standards, mentor engineers, and influence the technical roadmap for generative … features, taking full ownership from problem definition and prototyping through production release, working across Swift, Java, and Python codebases Establish engineering excellence across the ML development lifecycle, including robust testing, reproducibility, monitoring, documentation, and CI/CD for model and data pipelines Partner with research, product, design, and platform teams ...

offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.About The TeamYou’ll be joining … JD.com team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment.We are seeking a Machine Learning Team Lead with strong expertise in search and recommendation systems. In this role, you will lead a team of algorithm engineers, driving ...

machine learning to power personalised digital advertising and customer engagement. With international operations and continued growth, they offer a collaborative environment where ML engineers own products end-to-end and influence key business decisions. The Role Define technical direction across machine learning and MLOps Build … optimise recommendation, bidding, attribution, and audience targeting models Lead model monitoring, automated retraining, experimentation, and production ML systems Improve scalability, reliability, and real-time model performance Partner with engineering and business leaders to align ML initiatives with commercial goals Mentor senior engineers and drive technical best practice Your Skills & Experience ...

JD.com team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment. We are seeking a Machine Learning Team Lead with strong expertise in search and recommendation systems. In this role, you will lead a team of algorithm engineers, driving … best-seller creation. Drive experimentation and evaluation of algorithms, ensuring scalable deployment and continuous performance improvements. Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real‐world challenges. Location: Work onsite in London. Minimum ...

simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. … relooking for a Senior Algorithm Engineer to join ourAlgorithmic Underwritingteam. You will work at the intersection of underwriting and algorithm development, developing machine learning-enabled products thatoperateacross over 25 classes of business ranging from Commercial Properties to Oil Rigs to Event Contingency insurance. You will help us better ...

manage, and route content reliably at global scale. We’re seeking a Senior Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding, safety, and decisioning across the platform. In this role, you’ll shape the architecture and technical strategy that ensures content … with content across Spotify. What You Will Do Shape the machine learning strategy for content understanding and platform-level decisioning Build & scale ML systems for classification, moderation, ranking, risk detection across multimodal content Develop automated decisioning systems that ensure content quality, integrity, & policy compliance at scale Design ...

Learning and statistical modeling. Primary concentration on credit risk modeling, also encompassing utilization, pricing, collections, and marketing optimization. Collaborate with a team of ML Scientists to manage the lifecycle of ML models from experiment design to deployment and monitoring. You will have the freedom to innovate with data, methodologies … Responsibilities Collaborate with Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers to integrate model development into the product roadmap. Own several ML applications from experiment design to deployment and monitoring. Decide on impactful topics across Borrowing products and deliver solutions. Technology Stack Google Cloud Platform for analytics ...

across the AI team, wider Consulting function and AI Community of Practice. Experience Required Essential Strong Python programming and hands‐on experience with core ML/AI libraries (for example scikit‐learn, TensorFlow, PyTorch). Practical experience developing, training and evaluating machine learning, NLP and predictive models. Experience … deploying AI/ML in the cloud, particularly Microsoft Azure (Azure AI/ML, Azure AI Foundry/Azure OpenAI). Working knowledge of Generative AI/large language models and prompt engineering applied to practical use cases. Understanding of MLOps practices for model deployment, monitoring and lifecycle management. Solid ...

Learning Research Engineers to help build the infrastructure powering the next generation of AI for Science. You'll be working on: Building scalable ML infrastructure for frontier AI research Translating novel research into production-quality ML systems Distributed training and inference across large GPU clusters Optimising model performance, training … deploy models into a real-world autonomous experimentation platform We're looking for: Strong Machine Learning Engineering experience Deep knowledge of modern ML architectures (Transformers, GNNs, Diffusion Models, etc.) Excellent Python skills with PyTorch and/or JAX Experience building scalable production ML systems Someone who enjoys turning ...

Implementation Engineer ( Data Science/ML Background) Manchester | Hybrid (3 Days Office/2 Days Remote) A growing technology-led organisation is looking to appoint an AI Implementation Engineer to play a key role in driving AI adoption across the business. This is an exciting opportunity for someone with … Data Science and Machine Learning background who has evolved into delivering production AI solutions. You'll combine expertise across AI, ML, LLMs, data engineering and enterprise infrastructure to design, develop and implement AI solutions that create genuine business value. Working closely with IT, commercial stakeholders and operational teams ...

evaluate, manage, and route content reliably at global scale. We’re seeking a Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify. In this role, you’ll work on systems that generate deep, machine-readable understanding of content across … across large datasets Who You Are You have experience building and deploying machine learning systems in production You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar You have experience working with large datasets and care about data quality and evaluation You are interested ...

build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. Your Impact Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. … production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. ...

offices. Responsibilities Lead the implementation of data science projects and data science approaches to support commercial goals. Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working. Collaborate with tech, product and data teams to develop the data platforms that allow us to apply … broader customer analytics) “brand” at Kingfisher for both internal and external audiences. Qualifications Proven experience delivering high-quality AI‐based products and productionisation of Machine Learning based products. Proven experience developing cloud‐based machine learning services using one or more cloud providers (preferably GCP). Excellent ...

safety is built in from day one. With a strong focus on “safety by default,” the team is investing in large-scale rearchitecture and ML-driven systems to proactively protect users and empower safer interactions across the platform. What You’ll Do Design, build, and ship production-grade machine … content safety and policy enforcement at Spotify scale Own and lead key technical initiatives across detection, classification, and policy evaluation systems Develop and maintain ML models for content moderation, including multimodal and LLM-based systems Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops ...

relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product‐focused team. We work in partnership … with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from ...

relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership … with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from ...

fulfil your potential with meaningful careers.**ROLE SUMMARY:**We are seeking an experienced Data Scientist to help develop and deploy enterprise-scale AI and machine learning solutions that improve operational efficiency, service resilience and customer outcomes.You will work closely with software engineers, SREs, product managers, platform teams … with commercial awareness and the ability to translate complex data into actionable insights and measurable business value.## **WHAT YOU'LL BE DOING:**### AI & Machine Learning Solutions* Design, build and deploy machine learning models to solve operational and business challenges.* Develop predictive analytics capabilities focused ...

role within the algorithmic technical space at Dare. Working closely with a talented algorithmic andtechnical team to build a platform that delivers ML capabilities to ourLiquidity trading teams. These teams are responsible for delivering products for internal customers. Setting and delivering a consistent, scalable approach to machine learning … statistics, and algorithms, with the capability to write robust scalable Python code. A strong understanding of the mathematical and statistical fundamentals on which the ML methods are based. We want someone who understands the methods rather than just calling functions from existing ML packages. Experience with production data processing. That ...

experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation … 7+ years experience in applied Deep Learning 7+ years coding and design skills Experience solving complex production problems using state-of-the-art ML techniques Experience taking research to production Expertise in Data Analysis or Data Science The expected base salary range for this full-time position is listed ...

applying them to some of the most exciting and massive social data and prediction problems that exist on the web. Software Engineer (Leadership) - Machine Learning Responsibilities: Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient Effectively communicate complex features & systems … staffing/prioritizing these new ideas Suggest, collect and synthesize requirements and create an effective feature roadmap Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters ...

candidate for Founding Full-Stack iOS Engineer. This is a full time position. Work location: USA.The role typically involves technologies such as Swift, iOS, Machine Learning, MEAN.## Required Skills### Primary Skills* Swift* iOS### Secondary Skills* Machine Learning* MEANSkills required for this role include Swift, iOS, Machine Learning, and related tools for day-to-day development.## Job Details* **Employment Type:** Full Time* **Location:** USA* **Salary:** $25000 – $40000 USD## Tech StackSwift, iOS, Machine Learning, MEAN## Role detailsABOUT THE ROLEA Y Combinator-backed consumer wearable AI startup is hiring a Founding Full-Stack iOS Engineer ...