626 to 650 of 1,632 Machine Learning Jobs in England

Opportunity Our client is a leading cloud, data, and AI consultancy that helps organisations transform their businesses through modern data platforms, advanced analytics, and machine learning solutions. Working with enterprise clients across multiple industries, they design and deliver innovative cloud-native solutions that enable businesses to unlock value ...

reporting, and business insight generation. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro Understanding of AI, machine learning, automation tools, and modern analytics techniques Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders Excellent communication ...

business stakeholders. Experience designing scalable cloud architectures and integrating with enterprise systems. Familiarity with common LLM frameworks and tools or a background in machine learning or data science. Excitement for engaging in cross‐organizational collaboration, working through trade‐offs, and balancing competing priorities. A love of teaching, mentoring ...

innovation and continuous learning. Communicating complex technical concepts clearly to non-technical stakeholders and project teams. Staying abreast of emerging technologies in data science, machine learning, digital twins and any other innovations relevant to the built environment. ABOUT YOU We value people who can think analytically and creatively ...

such as Cosmos DB. Knowledge of REST, SOAP, and messaging technologies. Experience building and supporting scalable data integration solutions. Desirable Exposure to AI/ML integrations. Experience with DevOps, CI/CD, and Infrastructure as Code. Background in a regulated industry is advantageous. Join a collaborative team working with modern ...

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 ...

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 ...

based data lake architectures, and PrivateLink for secure cross-cloud connectivity. AI Capability: Practical experience designing data infrastructure for AI/ML workloads, including vector databases, embedding storage, and RAG pipeline integration. Soft Skills: Excellent communication and stakeholder management skills, with the ability to translate complex data architecture concepts into ...

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 ...

Vector Databases & Semantic Search MLOps & LLMOps Kubernetes & Docker Databricks AWS | Azure | Google Cloud Platform (GCP) What We're Looking For Proven experience delivering AI, ML or modern data platforms into production. Strong background in cloud-native architecture and distributed systems. Experience designing enterprise AI solutions using LLMs, RAG and modern ...

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 ...

front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. Optimise system performance and reliability for high-volume data operations across distributed environments. Implement secure, compliant ...

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 ...

transformation using data, analytics, and advanced platforms. We are seeking an accomplished Technical Lead with deep Java expertise and demonstrated experience integrating AI/ML capabilities into production systems. This role combines hands-on engineering with technical leadership — you will own the architecture and delivery of cloud-native microservices ...

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 ...

business value. Define and implement AI architecture standards, design patterns, governance frameworks, and best practices across the organization. Possess deep expertise in AI/ML technologies, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, vector databases, and modern AI platforms . Lead the evaluation, selection, and integration … fast-paced, dynamic environments, delivering measurable outcomes and accelerating AI adoption across the enterprise. Preferred Qualifications: Extensive experience in enterprise architecture, AI/ML solution design, and digital transformation programs. Strong knowledge of cloud platforms such as Microsoft Azure, Amazon Web Services AWS, and Google Google Cloud. Experience with Generative ...

time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the Business LexisNexis Legal & Professional are a leading global provider … give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. ...

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 ...