226 to 250 of 3,225 Machine Learning Jobs in the UK

frameworks Experience in building AI business, solutions and competency • Experience in GenerativeAI, LLM and prompt engineering Exsentive experience in technology within in AI/ML leadership role Strong hands on experience with ML frameworks Experience with cloud platforms(AWS, AZURE) Deep understanding of ML algorithms, LLMs and AI architecture Proven … adoption Experience in driving AI-first thinking across the organization. Proven experience in leadership and team building: Build, mentor and scale AI/ML/Data Science teams and establish best practices for model development, deployment and governance. Proven ability to foster a culture of experimentation, innovation and continuous learning. ...

Bachelor’s degree in computer science, engineering, mathematics, statistics, or related fields. 10+ years in technology architecture, 3–5 years focused on AI/ML architecture in large, complex enterprise environments. Hands‐on command of modern AI stack: LLM APIs and fine‐tuning, vector databases, RAG, embedding pipelines, prompt engineering … data platforms (Snowflake, Databricks, or comparable) and integrating AI on top of them. Strong understanding of cloud‐native architecture on AWS, including AI/ML services such as Bedrock. Ability to produce high‐quality architecture artifacts—reference architectures, technology radars, ADRs, capability assessments. Familiarity with enterprise architecture frameworks such ...

transform the way biomedical professionals carry out their research and day‐to‐day exploration. What you’ll be doing Design and implement ML/AI solutions end‐to‐end, from the idea and data exploration phase to deployment and monitoring, balancing cutting‐edge techniques with pragmatism to deliver measurable impact. … reliable, maintainable, production‐ready and can be readily adapted to future developments. Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM‐based solutions, and agentic solutions to balance trade‐offs between speed, cost, complexity, interpretability, and performance. Collaborate closely with product, design ...

Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment … with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/ ...

Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment … with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end‐to‐end data architectures and applications that combine data pipelines, ML/ ...

architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool‐use patterns, human‐in‐the‐loop workflows, and agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using … such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain ...

architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool-use patterns, human-in-the-loop workflows, and agentic safety at enterprise scale* AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using … such as MLflow, Vertex AI, or SageMaker* Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores* Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain ...

ensuring traceability, documentation accuracy, and compliance. Ensure solutions meet compliance standards (e.g. ISO 27001). AI & Data Awareness Ensure solution designs support AI/ML-enabled capabilities where relevant (e.g. data lineage, governance, feature management, and model integration patterns). Collaborate with wider technical teams to define integration approaches … Zachman). Background in software engineering, data architecture, or infrastructure engineering. Exposure to designing internal accelerators, frameworks, or reusable components. Awareness of AI/ML architecture patterns, generative AI integration considerations, or data lineage and monitoring concepts. Company Rapidly growing financial services organisation with offices in London Hybrid working Salary ...

opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the AI/ML and Data Platform, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure … algorithms that run synchronously with appropriate systems. Performs platform design, set-up and configuration, providing engineering support to data engineering teams, Data Science/ML, and Application/integration teams. Collaborates with engineering and data teams to optimize infrastructure and deployment processes, focusing on automation and operational excellence. Identifies opportunities ...

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 ...

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 ...

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/ ...

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 ...

Python and/or PySpark Advanced knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced ...

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 ...

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 ...

improvements.* Advanced proficiency in standard business applications (Microsoft 365 suite), as well as familiarity with cloud platforms (e.g. Microsoft Azure, AWS) and AI/ML development environments.* Exceptional communication and stakeholder management skills, with the ability to translate complex technical concepts clearly to senior partners, business leaders, the Director ...

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. ...

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 ...

helping shape team practices. You will join a team that values collaboration, inclusion, and continuous improvement. As a Software Engineer III in AI and Machine Learning Data Platforms, you will deliver critical technology solutions that support the firm's business objectives. You will work directly with AI Research … Machine Learning Center of Excellence to advance experiments into robust, scalable applications. You will build platform and application capabilities, including generative AI solutions, with a focus on security, stability, and operational excellence. You will contribute to an engineering culture that values strong delivery practices, mentorship, and inclusive teamwork. ...

ReqID: FEQ327R501 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide … enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact ...

Senior Specialist Solutions Engineer (AI/ML) London, United Kingdom ReqID: FEQ327R328 Recruiter: Kanwal Matharu Location: London, United Kingdom - Hybrid As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with … Solution Architects to guide customers in architecting production-grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship ...

looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role The AI & ML Engineering team accelerates the adoption of AI across the business,championing innovation while ensuring our machine learningsolutions are robust, scalable, and cost-efficient. … solve problems using existing AI tools where possible and build custom solutionswhen needed. Our remit spans AI enablement, agentic systems development, and “conventional” ML engineering for non-GenAI applicationse.g.recommender systems, forecasting models, and more. We're looking for an AI & ML Engineer who is passionate about building production-ready ...