251 to 275 of 2,703 Machine Learning Jobs in England

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 Team … implement, and optimize AI agents for various applications, including customer service, supply chain optimization, recommendation systems, and internal operations. Develop robust agent architectures, incorporating machine learning models, natural language processing (NLP), knowledge representation, and reasoning techniques. Integrate AI agents with existing JD.com systems and platforms, ensuring seamless functionality ...

ML (Machine Learning) Engineer at Checkout.com in the Disputes ML team, you will contribute to the development of our brand‐new ML‐driven dispute optimisation suite. This is a unique opportunity to get in on the ground floor of an expanding area, grow alongside top‐tier engineers … dispute systems. Collaborate with platform and backend engineers to integrate models seamlessly. Experience and qualifications 5+ years of experience as an MLOps/ML Engineer. High proficiency in writing clear, production‐ready Python code. Experience with production ML models (online or offline) and standard MLOps practices. Experience with monitoring ...

/ML Engineer Up to £82,000 + Bonus + Outstanding Benefits + London/Hybrid If you're an AI Engineer who wants to build production AI solutions rather than endless proof of concepts, this is an opportunity to help shape how enterprise AI is adopted across a global …/LLMOps including deployment, monitoring, governance and lifecycle management. RAG, vector databases, prompt engineering and tool‐calling patterns. Building end-to-end AI/ML pipelines from data preparation through to production. Working with technical and business stakeholders to deliver AI solutions. Desirable experience includes MLflow, MCP, Docker, Kubernetes, GitLab ...

that ensure content remains safe, compliant, and high quality. We’re seeking a Senior Staff Machine Learning Engineer to build and scale ML systems that power safety, policy enforcement, and compliance across Spotify. In this role, you’ll shape how automated systems evaluate and act on content—ensuring … listeners and creators. What You Will Do Define & drive machine learning strategy for safety, policy enforcement, and compliance systems Build and scale ML systems for detection, classification, and risk assessment across content Develop automated decisioning systems that ensure consistent, reliable enforcement of policies Design systems that support real ...

to Rank : Expertise with pointwise, pairwise, and listwise ranking approaches, including re‐ranking, diversity, freshness, novelty, deduplication, and relevance optimisation. User Modelling & Behavioural ML : Experience modelling user intent, preferences, workflows, and engagement patterns. Familiarity with session‐based learning, sequence modelling, and balancing short‐term versus long‐term user … Graph & Entity‐Aware Ranking : Ability to incorporate relationships between companies, sponsors, lenders, law firms, instruments, documents, and events into ranking and recommendation decisions. Production ML Engineering : Experience building feature pipelines, online and batch inference systems, low‐latency ranking services, experimentation platforms, and monitoring for production machine learning systems. ...

Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high-level business goals into concrete ML architectures and scalable production systems. Advanced Algorithm Innovation: Design, prototype, and scale next-generation recommendation and ranking models. Solve complex, non-linear travel journeys … closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi-task business objectives simultaneously. Act as the primary technical authority for ML initiatives within the Trips vertical. Talent Multiplier: Mentor and coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices ...

perfect fit. About the role You’ll join the existing Risk Decisioning data science function here at Cleo; a thoughtful and collaborative team of ML engineers, analysts, and data engineers with significant industry experience that is at the heart of everything we do at Cleo. You’ll build and deploy … impactful workstream, focused on the machine learning that underpins our Risk Decisioning feature. Check out this blog on Isabelle's journey in ML at Cleo. What you’ll be doing Understanding core problems faced by our Risk Decisioning team and coordinating the ML function’s contribution to solving ...

immediate interactions Partner with product managers, data scientists, and engineers to define what success looks like and how to measure it Own the full ML lifecycle, from data and modeling to deployment, monitoring, and iteration Integrate ML models with upstream systems, including domain value signals and opportunity generation frameworks Help … have strong experience building and deploying machine learning models in production environments at scale You are comfortable translating business problems into ML solutions and discussing trade‐offs with cross‐functional partners You have worked on complex optimization problems such as ranking systems or multi‐objective decision‐making ...

Mentorship & Delivery** Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility. Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable … Orchestration & Development:** Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. **Artificial Intelligence & Machine Learning:** Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models ...

across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation … wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation ...

motivated and creative Software Engineers to join a cross-site and multi-culture software team! This role presents an excellent opportunity to move into ML, the key development for the future of computing. Working on the groundbreaking Arm technology, you will be crafting the software that powers the next generation … implement of a Software Development Kit (SDK), ensuring that it meets all the needs from various users. This includes various areas such as ML compiling technologies and high performance ML runtime libraries targeting next generation GPU hardware. More than anything else, you must have a willingness to learn new techniques ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high‐velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi‐agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

Gigaton is seeking a Senior Machine Learning Engineer to develop models that drive our innovative AI solutions aimed at reducing carbon emissions. You will play a crucial role in a collaborative environment, contributing to both engineering and research efforts in machine learning. Your responsibilities include building machine learning models, collaborating with product teams, and establishing best practices. A passion for climate change mitigation and expertise in Python and machine learning techniques are essential. #J-18808-Ljbffr ...

writing and debugging Python as they are making technical decisions. You will spend most of your time designing, writing, testing and improving AI and Machine Learning systems, taking solutions beyond experimentation and into reliable production use. You will combine hands on delivery with technical ownership, working through ambiguity … experience in AI Engineering, Machine Learning Engineering or AI focused Software Engineering, with evidence of personally building and deploying production AI or ML applications. Experience taking AI or ML capabilities beyond proof of concept, with an understanding of deployment, configuration, monitoring, evaluation, failure handling and ongoing improvement. Strong ...

DESCRIPTION The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JP Morgan Chase. AI Engineering tackle business critical priorities using innovative machine learning techniques and technologies with a focus … machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMC businesses as they grow. ...

Learning Engineer to join our team and build the retrieval and knowledge representation systems at the heart of the platform. You will own ML components end to end — from research and prototyping through to production deployment — working across knowledge bases, vector stores, RAG pipelines, and context engines to power … structured reasoning over enterprise data. Design and implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking. Build and maintain integrations between retrieval and ML components and diverse enterprise data sources, vector databases, APIs, and services. Develop context retrieval systems that balance recall, precision, latency, and cost. Build evaluation frameworks ...

Overview The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JPMorgan Chase. AI Engineering tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMorgan Chase businesses as they grow. Responsibilities Collaborates ...

leading machine-learning software company in Cambridge is seeking a Machine Learning Research Engineer to investigate new concepts in machine learning, particularly focusing on Natural Language Processing (NLP) and large language models (LLMs). The ideal candidate will possess a Ph.D. and a strong … background in classic machine learning as well as practical experience with Python frameworks like PyTorch and TensorFlow. This position offers a competitive salary and a blend of office and remote work. #J-18808-Ljbffr ...

solutions across our global operations. We are establishing an \"Agentic Factory\" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

match the full criteria, so if you have most of the below, we’d like to hear from you: Significant experience applying data science, machine learning, statistical modelling or advanced analytics to complex real-world datasets. Strong applied statistical expertise, including the ability to quantify risk and uncertainty … epidemiology, operational research, or cyber risk. Familiarity with UK data protection, research governance or health data access expectations. Experience with PETs or privacy-preserving ML frameworks such as Flower, Opacus, TensorFlow Federated or similar. Cloud platforms, containerisation, CI/CD, MLOps or production ML systems. Experience evaluating synthetic data using ...

combines exceptional software engineering fundamentals with hands-on experience delivering enterprise-scale Generative AI solutions into production. Whether your background is software engineering, machine learning, platform engineering or forward deployed engineering, we're interested in hearing from you. Alternative Job Titles We recognise great people often have different … titles. You may currently be working as: AI Technical Lead Staff Software Engineer Staff AI Engineer Staff Machine Learning Engineer Senior Staff Engineer Principal Software Engineer Principal AI Engineer Principal Machine Learning Engineer Lead AI Engineer Lead Software Engineer Engineering Manager AI Engineering Manager Machine ...

impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question … experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies ...

## Machine Learning Integration EngineerApplylocations: Cambridge Office, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101685Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly … that requires attendance in the Cambridge office at least 2 days a week.**What will I be doing:**As a Software Engineer focussing on ML integration, you will assist with the deployment and optimisation of new and innovative machine learning models to further improve Darktrace’s services ...

Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London 5 Days in Office, Up to £165,000 Stocks & Benefits. Owen Thomas is partnering with a high‐growth, venture‐backed InsurTech scale‐up that is disrupting a massive $200 B global market. Using AI they deliver automation that … founding team, learning exactly how to scale a business from 0 to 1. Requirements 2+ years of commercial experience in AI/ML engineering or applied research. Strong experience working on NLP projects. A proven track record of shipping AI/ML projects from initial concept to live production ...

setting technical direction for advanced analytics, machine learning, experimentation and responsible AI. You will design and deliver end-to-end analytical and ML solutions, including forecasting, causal analysis, A/B testing, model development, LLM evaluation and monitoring, and reusable data science assets. Working closely with data platform … Pandas, scikit-learn and NumPy. Strong programming skills in SQL or Spark SQL Experience in Natural language processing and working and developing LLMs Full ML model lifecycle experience Relevant experience with Power BI or similar tools such as Tableau or Qlik for data storytelling, data visualisation and reporting Strong numeracy ...