76 to 100 of 4,801 Machine Learning Jobs in England

this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions … projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.Experience developing robust ML pipelines with ...

reliability, latency, and business outcomes. Qualifications and experience we consider to be essential for the role: 10–15 years across software engineering, AI/ML, data science, or enterprise architecture, with a clear trajectory into senior technical leadership. Proven track record architecting and deploying production-scale AI, from strategy through ...

investment banking environments Strong communication and stakeholder management skills Willingness to work in a hybrid model based in London, UK Exposure to AI/ML-powered tooling in software engineering or DevOps workflows Experience integrating automation or AI tools into CI/CD pipelines or developer workflows Career Stage Senior ...

facilities. We have a growing international footprint and are one of Europe’s fastest-growing engineering businesses. About the role We are growing our ML team and hiring across mid, senior, lead and principal levels. We are looking for AI builders; you will be working on developing and deploying … systems to solve complex problems that have real-world impact. You’ll join an existing ML team that works in close collaboration with software, hardware and systems teams to get useful AI into the hands of users. Our ML team works end-to-end, from R&D to deployment, across ...

ready to shape the future of Market Operations with cutting‐edge AI and ML? At JPMorgan Chase, you’ll have the opportunity to lead a talented team, solve complex business challenges, and make a real impact on our operations. We value your expertise, encourage your growth, and support your journey … deliver transformative solutions. Join us to collaborate with industry leaders and advance your career in a dynamic, inclusive environment. As an Applied AI & ML Lead in the Market Operations team, you will drive the strategy, design, and delivery of AI/ML solutions that enhance and transform Market Operations. ...

only creates value once it runs reliably in the real world. This role exists to bridge that final, critical gap—taking the AI/ML solutions developed within our Data Science team from promising prototypes to robust, scalable production systems that our teams and customers depend on every day. Sitting … within Data Science, this is at heart a hands‐on AI/ML engineering role. Your primary focus will be productionising Generative AI and agentic systems —building the APIs, tools, integrations and workflows that let LLMs, and agents operate reliably at scale. You will also support the broader range ...

person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team … latest blogs or our case studies with Women in Tech. About the Role The ML Projects team is at the forefront of bringing cutting edge machine learning to the core of what we do at Starling. As a software engineer on the ML Projects team you will work ...

financial services (banking, capital markets, insurance, or fintech) to design, build, and scale GenAI-powered data solutions. The role combines modern data engineering, ML/LLM integration, and domain-specific financial knowledge to deliver enterprise-grade AI platforms. You will lead the development of data pipelines, vector databases, retrieval systems … your home; noting that you will be unable to work at home 100% of the time.**Key Responsibilities**:* Design, develop, and deploy AI/ML and Generative AI solutions using Python.* Build, train, evaluate, and fine-tune machine learning and large language models (LLMs) using frameworks such ...

design of scalable, robust agentic and data architectures that align with business objectives. Establish technical standards, next practice, and development methodologies for AI/ML projects. AI/ML Development & Innovation: Lead the development of advanced AI/ML models and systems, from research through to production deployment. Drive innovation … reliability, scalability, security, and compliance. Lead technical reviews and provide guidance on complex AI engineering challenges. Technical Expertise: Deep expertise in AI/ML frameworks—TensorFlow, PyTorch, Scikit‐Learn, Transformers—cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer ...

seeking a Software Engineer with expertise in AWS and Python, and a passion for Machine Learning, to help engineer and deploy innovative ML solutions into production. You will join the Applied AI/ML Software Engineering team, collaborating with technology teams across the firm, contributing to both … support of the firm’s business objectives. In this role, you will work alongside Data Scientists to build cloud-based frameworks for hosting machine learning models, providing software engineering expertise throughout the model development lifecycle. You will leverage both internal and external cloud platforms, utilizing proprietary and open ...

Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliver high quality AI/ML solutions. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Have a deep understanding and developing …/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code ...

others, we’ve been recognized with: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner … Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Our culture is built on transparency, diversity, integrity, learning and growth. We are committed ...

connected devices, cloud services, data platforms, and engineering teams. As the capability matures, the role will provide a clear development path into MLOps and ML platform engineering, supporting model deployment, model lifecycle controls, ML pipeline automation, and governed promotion of machine learning solutions from development into production. … GitHub, Azure DevOps and related platform tooling. Help maintain Azure-based development, test, QA and production environments used by digital, IoT, data and ML platforms. Contribute to secure platform configuration, access control, secrets management, monitoring and operational governance. Monitor platform health, investigate operational issues and contribute to improving reliability, supportability ...

clients, understanding their needs, and translating them into effective outcomes. Key Responsibilities Design, develop, and maintain high-performance Java-based applications Integrate AI/ML models into production-grade backend systems Build RESTful APIs and microservices using modern Java frameworks Collaborate with data scientists to deploy and scale machine … deploy AI-powered services Contribute to architecture decisions and technical roadmaps Design, develop, and maintain high-performance Java-based applications Integrate AI/ML models into production-grade backend systems Build RESTful APIs and microservices using modern Java frameworks Collaborate with data scientists to deploy and scale machine learning ...

complex customer and business problems across defence, aerospace, cyber security, rail, critical national infrastructure and related domains. Develop state-of-the-art AI/ML solutions, proofs of concept and research prototypes using real-world data and operationally relevant problem statements. Investigate, design, implement and evaluate advanced AI methods, including … Strong Python programming skills; proficiency with modern software engineering and research practices, including testing, code quality, reproducibility and collaborative development. Experience conducting AI/ML research or advanced AI development in complex technical environments, preferably including defence, aviation, rail, cyber security, safety-critical, mission-critical or similarly regulated domains. Expertise ...

forefront of AI innovation,trusted by Microsoft, AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data. We are pioneers in responsible AI, having authored the UK governments AI Cyber Security Code of Practice implementation guideand we partner … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliverhigh qualityAI/ML solutions. Demonstrable experience oftechnical leadership for AI delivery including architecture, product designprinciplesand engineering excellence. Have a deep understandingand developingof AI/ML models, including time series ...

implementation of agentic workflows, retrieval-augmented generation, enterprise search, predictive models, and AI capabilities embedded in digital products. Determine when to use deterministic software, machine learning, large language models, human review, or a combination of approaches. Establish evaluation-driven development practices, including test datasets, error analysis, deterministic checks … REQUIREMENTS 10+ years of experience across software engineering, data engineering, machine learning, or related technology disciplines, including significant experience leading AI or ML solutions. Demonstrated experience designing, building, and operating AI or machine learning applications in production - not only proofs of concept. Strong software engineering foundation ...

lessons learned fast. Be the kind of leader who creates that energy and channels it into things that last. Push the frontier of AI, ML, and intelligent systems Go beyond adopting AI tools - define how intelligent systems become structural, load-bearing parts of the platforms your teams own. Whether that … powered workflows, ML models embedded in analytical processes, agentic automation, or AI-augmented developer tooling, bring the depth to evaluate, architect, and champion these capabilities with real technical conviction. If you've built ML systems from the ground up, that experience will resonate deeply here - and you'll have ...

rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with - and raise the technical bar for - ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction … software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing and owning production services, APIs, data pipelines, or ML infrastructure at scale. Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization. Deep hands-on experience with ...

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 ...

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 ...

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 ...

high-dimensional datasets across therapeutic areas and development phases — including genomics, proteomics, imaging, and flow cytometry Apply and advance the use of AI/ML, deep learning, NLP, causal ML, and explainable AI across multiple data modalities and clinical development contexts Lead application of rigorous statistical approaches to clinical … statistical and machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes Proven expertise in AI/ML and proficiency in Python, R, SQL, and cloud platforms (e.g., AWS, Azure, Databricks) Deep familiarity with clinical trial design, drug development processes, and the role ...

client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Our consultants are at the heart of everything we do, and we have been recertified as a 2025 Great Place to Work … build effective internal and external relationships Strong influencing and negotiation skills Creative thinker with the ability to propose innovative solutions Passion for continuous learning and self‐development Leadership capability, either formally or through delivery ownership To qualify for this role, you must have: Multi-skilled experience ...

client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Our consultants are at the heart of everything we do, and we have been recertified as a 2025 Great Place to Work. … insurance. Life cover. Cycle to work scheme. Eligibility for company pension scheme (5% employer contribution, salary sacrifice option). Employee assistance programme. Bespoke online learning via Udemy for Business. #J-18808-Ljbffr ...