401 to 425 of 1,179 Machine Learning Jobs in the UK excluding London

Data Science & AI – Manager EY exists to build a better working world, we empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for you to personalise and build your career, helping to create long-term value for clients, people and society and build … communicate project progress, and ensure alignment with their strategic/project goals. As an influential member of the team, you’ll create a positive learning culture and will coach and counsel junior members of the team and help them develop. Working in multi-disciplinary teams across a range ...

Data Science & AI - Manager EY exists to build a better working world, we empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for you to personalise and build your career, helping to create long-term value for clients, people and society and build … communicate project progress, and ensure alignment with their strategic/project goals. As an influential member of the team, you'll create a positive learning culture and will coach and counsel junior members of the team and help them develop. Working in multi-disciplinary teams across a range ...

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

Kingdom is seeking a Senior AI/NLP Engineer to join a highly collaborative team of business stakeholders, technologists, and control partners to deploy ML solutions into production. A strong passion for machine learning and continuous learning is essential, with solid NLP and financial knowledge and hands ...

seeking a leader for the Machine Learning Engineering team in Bristol. This hybrid role involves guiding the operation of AI/ML services, ensuring robust governance and stakeholder engagement. The ideal candidate will have strategic and operational leadership experience of 5+ years, with a strong focus … machine learning. Responsibilities include defining platform strategies and driving data innovation across the organization. Exceptional skills in budget and risk management are required for this pivotal role. #J-18808-Ljbffr ...

based product portfolio. Partner with product managers, content managers, and senior stakeholders to design, build, deploy, and optimise state of the art AI, ML, LLM, and GenAI solutions. Use AI to broaden reach, engagement, and utilisation across our services. Identify opportunities to drive efficiency through AI across the wider business. … machine learning, or a related STEM field. Strong leader, able to communicate clearly at all levels. Track record deploying business critical ML models in production. Experience building and scaling RAG applications with semantic search and text embeddings. Cloud computing experience, ideally Azure, AWS, or GCP. Strong ML ...

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

working within Agile delivery environments Desirable Experience: Cloud certifications (Azure, AWS, or GCP) TOGAF, DAMA CDMP, or Data Engineering certifications Experience with AI/ML platforms or MLOps Exposure to Data Mesh or Data Fabric architectures Enterprise Architecture experience Experience within Aerospace, Defence, Manufacturing, or other highly regulated industries ...

engineers like you to help us do it reliably, securely, and at scale. As a Software Engineer III at JPMorganChase within the AI/ML Data Platforms organization, you will be a key member of the Reliability Engineering team, contributing to the design and delivery of trusted, market-leading technology … products. You will apply your technical expertise and problem-solving skills to enhance the reliability and scalability of AI/ML platforms, build reusable services and tooling, and partner across teams to unblock high-impact AI use cases. This is an opportunity to shape how the firm delivers AI capabilities ...

Datalex is seeking a Senior Software Engineer specializing in Python-based AI/ML development to design and deploy machine learning features. The role involves building APIs, collaborating on CI/CD, and mentoring Junior Engineers. Candidates should have 8+ years of experience, strong knowledge of AI technologies ...

e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements Education Bachelor’s degree or equivalent experience; Master’s degree is a plus ...

environments. Experience with cloud platforms such as Azure, AWS or GCP. Understanding of cybersecurity for connected devices and IoT systems. Exposure to AI/ML technologies and data-driven applications. Experience with mobile, web, IoT, Embedded Linux, Python, FPGA or MATLAB development. Why Join Us? You'll have the opportunity ...

that let our AI and hardware teams move fast without breaking things. This is a high-impact, high-ownership role at the intersection of ML research, compiler stacks, and novel hardware What You'll Do Design and operate end-to-end ML pipelines: data ingest, training, evaluation, quantisation, and deployment … model registry, and versioning infrastructure (e.g. MLflow, W&B, or equivalent) tuned to our hardware-in-the-loop workflows Own CI/CD for ML: automated testing of model correctness, numerical accuracy, and on-chip performance after every change to models, compilers, or firmware Develop and maintain tooling for benchmarking ...

visualization best practic es.Programming & Data Science: Hands-on with Python or R for analytics, modeling, and automati on.AI & Predictive Analytics: Knowledge of AI/ML frameworks for building predictive and prescriptive insigh ts.ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and framewor ks.Cloud Platforms: Familiarity … from SaaS applications, APIs, and public data sourc es.Proven record of delivering data-driven insights, advanced analytics, and predictive mode ls.Experience implementing AI or machine learning solutions for business intelligence is an advanta ge.Bachelor’s or master’s degree in data science, Computer Science, Statistics, or a related ...

candidate will be working alongside a talented team of Data & AI Engineers, Data Scientists, Analysts, Developers and Architects to design and deliver cutting-edge machine learning and AI-driven solutions. From enabling advanced analytics to supporting product innovation across the business, work will directly influence how we harness ...

climate models. The Institute of Computing for Climate Science (ICCS) is a multi-disciplinary institute that has been established to develop and deploy machine learning and computational tools to advance the understanding of climate systems and inform decision-making for both climate change prediction and mitigation. A core ...

security. Strong understanding of DevOps, CI/CD, and modern software development methodologies. Demonstrated experience with Agentic AI systems, autonomous agents, and advanced machine learning frameworks. Extensive hands-on experience with message-based technologies such as Apache Kafka and AMPS, including design, deployment, and optimization. Advanced proficiency ...

with the ability to work hands-on where required. Experience designing integrations across multiple enterprise platforms, APIs and external data sources. Knowledge of AI, machine learning or Large Language Model use cases within operational environments. Ability to operate across strategy, architecture and delivery while remaining pragmatic and outcome ...

skills for querying relational databases. Experience using AI-assisted coding and workflow tools to support reproducible data analysis, with appropriate human review Experience applying machine-learning methods to text classification, named entity recognition, or information extraction Experience with Git/GitHub/GitLab Experience with cloud platforms, especially ...

line of code, but you understand the platform end-to-end and own outcomes. You'll partner closely with product owners, data scientists and machine learning engineers, site reliability engineering, and business stakeholders to deliver stable, scalable cloud-native analytics. Job responsibilities Own application governance and records ...

infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required ...

infrastructure automation Background in technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy ...

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 ...