501 to 525 of 1,300 Machine Learning Jobs in England

work closely with stakeholders to unlock the value of data, building scalable solutions that support analytics, reporting, and advanced use cases such as machine learning. Role responsibilities: Lead the design and delivery of robust, scalable data platforms and pipelines Work alongside client teams to understand requirements and translate them ...

that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business. What You'll Do * Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. * Work with Snowflake ...

data lake patterns, and PrivateLink for cross-cloud data connectivity. AI Readiness : Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration. Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical ...

utilising strong experience in metadata management. Collaborate with data engineers to develop data, enrich product design, and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects ...

compliance across all datasets Partnering with Product and commercial teams on data initiatives and client data onboarding Supporting analytics, BI and AI/ML use cases with well-structured, documented and reliable data models You 5+ years' experience in data engineering or data platform roles Strong hands-on experience with ...

refine outputs based on feedback Required Experience Strong software engineering background, with deep experience in Python Proven track record building and deploying AI or ML-driven applications into production environments Experience working with modern LLM tooling, data pipelines, and large-scale datasets Ability to design scalable, maintainable systems with ...

contributing to a detection library. Familiarity with Detection-as-Code concepts: Git, version control, and automated testing of detection content. Awareness of AI/ML in security operations and AI-specific threats (e.g. prompt injection, sensitive-data exposure via GenAI), with awareness of the OWASP LLM Top 10 and MITRE ...

Huawei Technologies Research & Development (UK) Ltd is seeking a skilled Machine Learning Scientist for its London Research Centre. The role centers on advancing AI technologies, particularly … reinforcement learning and Bayesian optimisation. Successful candidates will have a PhD in Computer Science and a strong publication record in top-tier ML venues. This opportunity involves original research, algorithm design, and collaboration with a multidisciplinary team, contributing to impactful AI advancements in a fast-paced environment. #J ...

with Product and Engineering teams Support rapid experimentation and innovation by providing pragmatic, risk‐based guidance that enables delivery at pace Advise on AI, machine learning, and data‐driven products, including governance, risk assessment, and responsible data use Work closely with Legal, CISO/Security, and Data teams … reduce carbon emissions, extra festive time off, and excellent family‐friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Our hybrid working model requires Trainliners to be in the office at least 60 % of the time over ...

Self-directed - you don't need detailed roadmaps to make progress Low-ego, collaborative, and eager to learn at the intersection of simulation and ML Demonstrated success through industrial projects, academic work, or personal projects It would be great if you Have a deep passion for machine learning Have industrial or academic experience with simulation solvers (e.g. OpenFOAM, ANSYS, COMSOL, Abaqus, or equivalent) Have applied ML methods to simulation or surrogate modelling Have experience automating large-scale simulation campaigns on HPC clusters Have contributed to a large open-source or industry codebase Have publications in engineering ...

Applied Artificial Intelligence and Machine Learning team in Corporate and Investment Banking is transforming the operations of the world’s largest bank by leveraging the latest advancements in open source artificial intelligence and proprietary frontier models. To facilitate rapid growth, the team is focusing expertise in key "Domains … contributions to open source projects and/or led the development and maintenance of AI systems vital to business operations. As an Applied AI ML Director within the Corporate and Investment Banking Applied AI team, you will lead a team of experts to develop horizontal capabilities through APIs, libraries ...

seeking a Senior Applied Scientist to work on optimization challenges in applied science. The role requires a Master's degree and expertise in machine learning, particularly in neural deep learning methods. The successful candidate will be responsible for developing optimization algorithms and collaborating with engineering teams. Proficiency ...

replication/CDC - Qlik Replicate, Oracle Golden Gate Data modeling - ERStudio Message-oriented data movement API design and access Data Analytics and AL/ML - AzureML Data virtualization Streaming data Data integration and ETL/ELT Tools - Matillion, Alteryx, Qlik PowerBI Machine Learning, Generative AI and Agentic AI. ...

Python, Snowflake, dbt, Airflow & Looker. AI at Marshmallow: Sierra.ai for conversational AI, Python and LangChain for agentic AI solutions, SageMaker and MLflow for Machine Learning, Cursor and Claude Code for developer productivity. About the Growth Team you’ll be joining The Growth team’s mission is to bring … your own benefits budget to spend on things you want, whether that’s subscriptions, night classes, the big shop or a forest of houseplants. Learning and development : Personal budget for books and training courses to help you grow in your role and 2 learning days a year. Mental ...

communication skills to present technical insights clearly to both technical and commercial stakeholders Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency Interest in exploring AI systems and a willingness to develop awareness … outputs into actionable insights for internal stakeholders and external clients Contribute to continuous improvement of modelling methodologies, including exploration of advanced techniques such as machine learning About the Team Our Model Development - Hazard Modelling team is responsible for building advanced catastrophe models that quantify the financial impact ...

leading global healthcare company in Greater London is seeking AI/ML Engineers to drive the development of machine learning models for scientific tasks. The ideal candidate will have a degree in a quantitative field and experience with deep learning frameworks like PyTorch or TensorFlow. Responsibilities include ...

across industries, and partner with leading global research organizations and universities to solve problems. Our team is a group of quantitative researchers, engineers, and ML experts leading foundation model research and trading at Jump. Our mission is to combine emerging techniques and original research to generate signals from financial market … data and monetize it globally. We are building the future of ML-powered trading through breakthrough foundation models, and we\'re looking for an exceptional Pre-Training Engineer to join our team. What You\'ll Do As a Pre-Training Research Engineer , you\'ll be at the forefront of developing ...

leading tech research organization in Greater London is seeking a skilled Machine Learning Engineer to join their Reinforcement Learning Team. This role focuses on advancing AI through original research and developing cutting-edge algorithms that combine scientific and applied innovation. Candidates should have a strong academic background … Computer Science, expertise in reinforcement learning or Bayesian optimisation, and proficiency in Python. This is an exciting opportunity to contribute to high-impact AI projects within a dynamic multinational team. #J-18808-Ljbffr ...

work collaboratively in a fast-paced environment. Excellent problem-solving and communication skills. Desirable Skills & Experience: Certification in Databricks or related technologies. Familiarity with machine learning and data analytics. Previous experience in data pipeline development. Knowledge of DevOps principles. Please note this role unfortunately is not able ...

annum SC cleared The Opportunity Help deliver cutting-edge software solutions. You'll work on complex, real-world challenges using modern technologies like machine learning, edge computing, and DevOps automation to accelerate capability deployment. The Role You'll contribute to the development, release, and support of operational systems ...

Experience Strong experience in software engineering, delivering complex distributed or microservice-based systems. Proven capability building and operating production applications with embedded AI or machine learning features. Strong programming skills in languages such as Java, Python, or Node.js, with exposure to modern frontend frameworks where relevant. Solid experience ...

Snowflake Define data architecture roadmaps aligned to business and AI strategies Drive data modelling, governance, integration and interoperability standards Architect solutions supporting analytics, machine learning and AI use cases Provide technical leadership across data engineering, analytics and AI delivery teams Establish best practice around security, privacy, compliance, metadata ...

from data Experience translating complex analysis into clear business recommendations Experience creating dashboards and data visualisations that effectively communicate insights Understanding of predictive analytics, machine learning and AI applications (desirable) Experience using AI-enabled tools and workflows to enhance analytics, automation and insight generation (e.g. Copilot, Codex, Claude ...

stakeholder satisfaction. Oversee foundational platform and data processes that support Client360. Drive continuous improvement by establishing and monitoring key performance indicators. Leverage analytics, including machine learning and AI, to derive actionable business insights. Understand internal team needs and anticipate future requirements, collaborating across business lines. Utilize platform ...

Operations strategy - with a key focus on Communication, Problem solving, technical skills in Web and DB, and delivering new tools, automations, API's and machine learning/AI solutions. The ideal candidate will have extensive experience in software development and problem solving, who can extract the process performance ...