376 to 400 of 1,247 Machine Learning Jobs in the UK

Director of AI Engineering, on behalf of a global Professional Services firm, to lead the strategy, design, and enterprise-wide adoption of Artificial Intelligence, Machine Learning, and Intelligent Automation capabilities. This is a senior leadership role at the intersection of technology, strategy, and commercial impact, responsible for scaling … Celonis) Analytics & Decision Intelligence Deliver data-driven insights through advanced analytics and BI platforms (Power BI, Looker) Enable predictive modelling and optimisation using modern ML toolkits Security, Compliance & Responsible AI Ensure alignment with enterprise security standards (SOC2, ISO27001, NIST) Champion explainability, bias mitigation, and ethical AI practices Leadership & Talent Build ...

simplify complex technical concepts and present them in a compelling, client-focused narrative that resonates with business needs and drives buy-in. AI/ML Tools & Concepts: Experience with generative AI platforms (e.g., Snowflake Cortex, Chat GPT) and prompt engineering for presales use cases such as content generation, technical … showcasing successful outcomes and strategic insights. Technical Workshops or Training: Participation in advanced workshops or training focused on presales strategies, emerging technologies, AI/ML, or business intelligence tools, demonstrating a commitment to ongoing professional development Mayflower is acting as an Employment Agency in relation to this vacancy ...

help employees understand AI implementation. What You'll Bring Currently enrolled in an undergraduate or graduate program in Computer Science, Data Science, AI/ML, or a related discipline. Active GitHub profile with at least one substantive AI or machine learning project. At least one prior project using …/ML tools or techniques (academic, personal, or professional). Previous internship or work experience in a business or technology environment. Strong communication skills — able to bridge technical and non-technical conversations. Personable, enthusiastic, and naturally able to teach diverse stakeholders about AI topics. Comfort with Python and familiarity with ...

MaaS offerings, including Qwen (Tongyi) model family, PAI platform, and GPU computing services - Develop and execute go-to-market strategies for AI/ML products tailored to the European market - Build a robust sales pipeline through proactive prospecting, industry events, ecosystem partnerships, and referral networks - Collaborate with solution architects … meetups, and industry forums across Europe Qualifications: Qualifications Required: - 3+ years of experience in business development, sales, or partnerships within cloud computing, AI/ML, or enterprise software industries - Demonstrated track record of achieving and exceeding sales targets - Strong understanding of AI/ML technologies, including large language models, generative ...

/Quants/Risk/Electronic Trading Background within Investment Banking, Capital Markets, Hedge Funds or Buy-Side Strong hands-on Python (and relevant ML/GenAI frameworks) Experience with other relevant technologies (LangChain, LangGraph, Databricks etc) Cloud technology experience (AWS, GCP, Azure) UK-based or UK right-to-work … contractors What to expect: Contract opportunities only (inside & outside IR35 depending on client) Projects focused on AI, ML, GenAI, analytics, optimisation & automation Tier-1 investment banks, buy-side firms, and market-leading financial institutions Roles released on short notice - hence proactive engagement Interested? If this aligns with your background ...

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 … DevOps practices including TDD, CI/CD and infrastructure as code. • Experience of optimising systems for performance and scalability and reliability. • Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift ...

field, and under pressure. ## The Role You'll be part of a team delivering software solutions that leverage the latest in machine learning, edge compute, and DevOps automation. Think rapid capability deployment, deployed hardware environments, sensors, and robotics - the kind of engineering problems that push ...

Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard ...

Bring Overall 9+ years of experience in engineering, machine learning & LLMs. 6+ years of hands‐on experience in building & deploying AI/ML/Gen AI solutions in large business critical applications. 2+ years of experience in developing Gen AI products using variety of LLMs & frameworks. 1+ years … curious technically to evaluate & test new technologies in Gen AI space. Proven ability to work with large structured & unstructured datasets and deploy AI/ML/Gen AI solutions through automated pipelines. Experience with leveraging, training and fine‐tuning Foundation Models including multimodal inputs and outputs. Strong experience working with ...

overall performance metrics Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards Build robust and real … Required - Great velocity for building and shipping agents/AI products. Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies Optional - Demonstrated ability to do independent research ...

such as AWS, Azure, or GCP. Familiarity with containerisation and orchestration technologies (e.g. Docker, Kubernetes). Exposure to MLOps practices or deploying AI/ML models into production environments. Experience working in agile or fast-paced delivery teams . ...

Software engineering (Java, .NET, Python, React) Cloud platforms (AWS, Azure, GCP) DevOps & Platform Engineering (CI/CD, Kubernetes, Docker) Data & Analytics, Cybersecurity, AI/ML Embedded systems, IoT, or digital transformation programmes Enterprise architecture or high-growth international environments What s on Offer Fully remote UK-based role within ...

Science 6–10+ years of experience in engineering, with 2+ years in customer-facing or field roles. Proven success building and deploying AI/ML or data-intensive applications in production. Deep full-stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/ ...

platforms Contribute to modern data architectures and engineering standards Deliver cloud-native data solutions using industry-leading tools Collaborate closely with analytics, AI/ML, and product teams Grow rapidly within a technically strong, delivery-oriented environment Your Responsibilities As a Data Engineer , you will: Build, optimise, and maintain scalable ...

degree in Computer Science, Software Engineering, or a related technical field 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions Strong proficiency in Python , with hands-on experience using FastAPI , REST APIs, and background task orchestration Deep familiarity with agentic frameworks such ...

financial services Hands-on development: X++, C#, Python, T-SQL, PowerFX, PowerShell Source control and containerization: TFVC, Git, Docker Tools: Azure IPAAS, Azure ML, Dataverse, PowerApps, Power Automate, SQL Server Administration, Fabric, Kafka, Copilot Studio, Azure AI Services, Ollama Integration: REST/SOAP APIs, solution performance analysis Functional knowledge ...

using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB. Experience with integration of 3rd-party systems Experience with statistical modelling, ML optimisation & forecasting Strong data analytics skills Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity and taken initiative ...

with colleagues across business units to translate needs into practical AI-enabled solutions. Required Skills & Qualifications: Proven experience developing, tuning, and deploying AI/ML models using frameworks. Experience with Azure AI Foundry Hands-on experience with agentic AI tools and orchestration frameworks. Proficiency in Python and familiarity with … Awareness of data governance, secure handling of sensitive data, and regulatory considerations. Knowledge of MLOps/DevOps practices, including CI/CD pipelines for ML models. Understanding of reinforcement learning, multi-agent systems, or advanced optimization methods. Previous experience working in regulated industries is advantageous. In the first instance ...

with colleagues across business units to translate needs into practical AI-enabled solutions. Required Skills & Qualifications: Proven experience developing, tuning, and deploying AI/ML models using frameworks. Experience with Azure AI Foundry Hands-on experience with agentic AI tools and orchestration frameworks. Proficiency in Python and familiarity with … Awareness of data governance, secure handling of sensitive data, and regulatory considerations. Knowledge of MLOps/DevOps practices, including CI/CD pipelines for ML models. Understanding of reinforcement learning, multi-agent systems, or advanced optimization methods. Previous experience working in regulated industries is advantageous. In the first instance ...

engineers, and leadership to define AI strategy and deliver impactful solutions across the organization. Key Responsibilities Design and architect end-to-end AI/ML solutions tailored to healthcare use cases (e.g., diagnostics, patient risk prediction, operational optimization) Lead the development of scalable AI platforms and data pipelines Ensure compliance … Required Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field 7+ years of experience in AI/ML engineering or architecture roles Proven experience in the healthcare or life sciences domain Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) Experience ...

greenfield product at an early stage Own a core product pillar (audio + AI) from day one Collaborate across embedded, cloud, and ML teams High autonomy in a low-ego, high-performance environment Competitive salary + equity Strong long-term growth and learning opportunities The Role You’ll take … full ownership of the audio subsystem, spanning real-time embedded processing through to cloud-based audio pipelines and ML integration. This role sits between embedded engineering and backend/AI — ideal for someone who enjoys both low-level systems and higher-level software. Key Responsibilities Design and build ...

Python, Node.js, C++). • Develop clean, responsive front-end interfaces using frameworks like Vue.js or React • Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. • Implement secure, compliant and scalable data access layers, ensuring compliance with data privacy standards. • Contribute … DevOps practices including TDD, CI/CD and infrastructure as code. • Experience of optimising systems for performance and scalability and reliability. • Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift ...

Level | Technology Strategy Overview We are seeking a Director of AI Engineering to lead the strategy, design, and enterprise-wide adoption of Artificial Intelligence, Machine Learning, and Intelligent Automation capabilities within a leading global professional services environment. This is a senior leadership role at the intersection of technology … highly governed environment Leadership & Talent Build and lead high-performing, globally distributed teams across AI, data, and automation Foster a culture of innovation, continuous learning, and responsible experimentation Engage with the external ecosystem—hyperscalers, academia, and startups—to drive innovation and partnerships Your Background Proven experience leading enterprise-scale ...

problem... if you've been doing the work, we want to hear from you. Responsibilities: Build and maintain scalable data pipelines and AI/ML solutions Develop, test, and deploy data models and machine learning workflows Implement reporting/data solutions to ensure visibility, accuracy, and integrity Collaborate … with analysts, PMs, and operational teams to deliver features Skills & Experience: Strong Python and SQL skills Familiarity with Azure or AWS Some exposure to ML frameworks (e.g. scikit-learn, TensorFlow, or PyTorch) Background in data engineering, analytics engineering, or similar Desirables: ETL/ELT pipeline experience Microsoft Fabric/Data ...

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 ...