426 to 450 of 4,516 Machine Learning Jobs in England

technical leadership on architecture decisions, system design, technology selection, and engineering standards across multiple initiatives.Mentor and develop engineers in engineering, system design, AI/ML technologies, and modern development practices.Evaluate emerging technologies and recommend adoption where they improve product capability, engineering efficiency, or client experience.Foster a culture of innovation, experimentation … DevSecOps, automated testing, observability, and secure software development.Strong programming skills in Python, with familiarity in C++, C#, or similar languages.Experience with AI/ML technologies and hands-on knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, or similar Generative AI technologies is highly desirable.Familiarity ...

Preply is scaling an AI-powered learning platform used by millions of learners and tutors worldwide. As ML and GenAI become increasingly central to our product, marketplace, and operational systems, we’re looking for a Staff ML Ops Engineer to define and evolve the platform that enables machine … engineer who can combine deep hands‐on expertise with platform vision. You will help define the current and future direction of Preply’s ML platform, set technical standards, and design the systems that allow ML teams to move from research to production quickly, safely, and cost‐efficiently. You’ll partner ...

data quality frameworks.Desirable Skills:Professional certifications in AWS, Azure, GCP, or Data Engineering.Experience within aerospace, defence, manufacturing, or highly regulated industries.Knowledge of AI/ML platforms and MLOps practices.Experience with graph databases and knowledge engineering solutions.Experience implementing data mesh or data fabric architectures.Enterprise Architecture experience.Experience leading large-scale data modernisation ...

Desirable Skills: Professional certifications in AWS, Azure, GCP, or Data Engineering. Experience within aerospace, defence, manufacturing, or highly regulated industries. Knowledge of AI/ML platforms and MLOps practices. Experience with graph databases and knowledge engineering solutions. Experience implementing data mesh or data fabric architectures. Enterprise Architecture experience. Experience leading ...

deployment processes using modern DevOps tools (e.g., Git, Docker, Helm, CI/CD pipelines). Collaborate with the Data Science team to help integrate ML-driven analytics into front office workflows. Qualifications: Currently pursuing a Bachelors or Masters degree in Computer Science, Engineering, Management Information Systems, or related technical field ...

approach JSON/XML response validation Hands-on AI Experience Hands-on experience integrating AI into testing workflows Understanding of AI/ML testing challenges and solutions Experience with AI-powered test generation or analysis tools ADDITIONAL REQUIREMENTS Strong experience in software testing and automation Strong understanding of CI/ ...

technical blog posts QualificationsRequired 8–12+ years engineering experience; 3+ years in customer-facing or FDE roles Proven track record deploying AI/ML or data-intensive applications in production Strong full-stack skills: Python, Node.js/Go, React/Vue, SQL, REST/GraphQL DevOps proficiency: Docker, Kubernetes ...

skillsDesirable SkillsetExperience with serverless architecture and microservicesExperience with event-driven systems and message queuesExposure to data engineering pipelines or analytics platformsExperience with AI/ML frameworks or LLM integrationsKnowledge of DevOps best practices and Infrastructure as CodeExperience working in enterprise or regulated environments (e.g. NHS, DSPT compliance).QualificationsStrong commercial experience ...

containers (Docker, Container Orchestration like Kubernetes/ECS/GKE). A genuine interest in and at least foundational experience with AI/ML concepts and technologies, demonstrating an eagerness to grow into a specialised AI Engineering role. Proven track record of delivering high‐quality work and driving forward best ...

operational readiness: testing strategy, CI/CD, release notes, production deployment governance, and incident/root-cause management.Identify and deliver pragmatic AI/ML opportunities where valuable (e.g., agentic workflows, RAG/LLM-enabled capabilities) with appropriate governance and human-in-the-loop controls. What you need to have:Experience ...

understanding of (Intune, Workspace ONE, JAMF) and how AI enhances device experience.· Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts, including LLMs, chatbots, predictive analytics, and automation frameworks.· Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow.· Experience delivering ...

understanding of (Intune, Workspace ONE, JAMF) and how AI enhances device experience.· Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts, including LLMs, chatbots, predictive analytics, and automation frameworks.· Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow.· Experience delivering ...

development, and deployment of AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations to a production standard. Work directly ...

with analysts and data scientists to ensure that high-quality, well-modelled data is available for analytics and future AI use cases.Assist with productionising ML pipelines where needed, ensuring they run reliably within Databricks.Support feature engineering and experiment environments as part of the wider platform.Work cross-functionally with product, marketing ...

understanding of (Intune, Workspace ONE, JAMF) and how AI enhances device experience. Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts, including LLMs, chatbots, predictive analytics, and automation frameworks. Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow. Experience delivering ...

deploying applications with any of the major cloud providers Experience with database programming and data models Experience in data engineering or AI/ML projectsExperience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacksUnderstanding of popular sales methodologies/frameworks such as MEDDPICC/Command ...

with deploying and operating AI systems in production environments Understanding of model evaluation, data quality, and performance monitoring Experience using cloud AI platforms (Azure ML, OpenAI, or similar) Enjoy travel and are comfortable with travel up to 25% Our team prides itself on embracing a growth mindset, inspiring excellence ...

monitor and support cloud applications Architect end to end solutions that support the ingestion, processing and storage of data, including, potentially, the deployment of ML or AI models Architect and make recommendations to rationalise, simplify or optimise architectures Make recommendations that may support the following: Digital sovereignty Compute optimisation Cost ...

revolution at Contentful where we build real world AI solutions for thousands of active customers.At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent Senior Software Engineer - Machine … experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team.What to expect? Measure and ensure the high-quality output of ML workloads ...

drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders … drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You’ll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption. Lead ...

demand than we can serve, and are looking for exceptional people to take ownership from day one. About The Role As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state‐of‐the‐art models to automate various real world problems in sectors … RAG. Have at least a high level familiarity with the architecture and operation of large language models. Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow. Possess a strong foundation in data structures, algorithms, and software engineering principles. Exhibit excellent problem‐solving and analytical skills ...

often side‐by‐side with them on‐site) to embed cutting‐edge AI models into tools that are useful and used. You’ve shipped ML systems end‐to‐end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate … will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes. You’ll: Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization & control) to customer production environments. ...

excited by technology that reaches patients directly and shapes how medicine is practised, this is where that work happens. The role As an ML Platform Engineer at Panakeia, you will sit at the critical junction of research, engineering and product delivery. You will be responsible for designing, implementing and maintaining … manipulation within training pipelines, and overseeing data quality and storage optimisation. Familiarity with deep learning frameworks (e.g., PyTorch). Architecting and building an ML platform and core ML infrastructure from the ground up, ideally in a biomedical, healthcare or scientific computing domain, including model selection for productisation Exceptional interpersonal ...

Senior Machine Learning Engineer Proximie is on a mission to improve healthcare by transforming the world’s operating rooms into connected ecosystems of people, devices, and data. Our Intelligence Suite transforms operating room (OR) performance, keeping teams in sync and workflows on track to maximise throughput. Simultaneously … secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting‐edge medical devices, and enhances surgical performance across the entire global workforce – improving outcomes and saving lives. Proximie was commercialised ...

experience in either model validation or model development within a financial services environment, including practical experience using Python to develop, validate or analyse machine learning and statistical models. . In-depth knowledge of credit decisioning models would be a strong plus. ð You’ll play a key role … by...Leading hands-on independent validation of models used for credit decisioning within our Borrowing strategies - covering a range of machine learning, decision science and NPV models. You will be ensuring that models are fit for purpose, appropriately governed, explainable and performing as expectedSupporting oversight and validation of broader ...