2,351 to 2,375 of 8,477 Machine Learning Jobs in the UK

Learning & AI Engineering Lead” to help power Royal Canin’s efforts towards a product lead organisation. You'll play a pivotal role in building scalable AI and ML solutions that unlock innovation across our global business. 🌍 Why this role matters: At Royal Canin, we believe in health through nutrition for pets. We leverage the power of technology, machine … and care for millions of pets. This role is central to making that happen. 🎯 What you'll do: Lead a team of engineers to design and deploy AI/ML and generative AI models Architect MLOps and LLMOps pipelines and coach our data science team on scalable, high-quality code Monitor model performance, define KPIs, and continuously improve solutions Collaborate … with cross-functional squads to deliver technical products that create real value powered by ML and AI Stay sharp—bring in new thinking, tools, and ideas to drive our capability forward 💡 What you’ll bring: 5–7 years in AI/ML roles (bonus if it’s in CPG, retail, or health) Line management experience Passion for engineering & strong track More ❯

Learning & AI Engineering Lead” to help power Royal Canin’s efforts towards a product lead organisation. You'll play a pivotal role in building scalable AI and ML solutions that unlock innovation across our global business. 🌍 Why this role matters: At Royal Canin, we believe in health through nutrition for pets. We leverage the power of technology, machine … and care for millions of pets. This role is central to making that happen. 🎯 What you'll do: Lead a team of engineers to design and deploy AI/ML and generative AI models Architect MLOps and LLMOps pipelines and coach our data science team on scalable, high-quality code Monitor model performance, define KPIs, and continuously improve solutions Collaborate … with cross-functional squads to deliver technical products that create real value powered by ML and AI Stay sharp—bring in new thinking, tools, and ideas to drive our capability forward 💡 What you’ll bring: 5–7 years in AI/ML roles (bonus if it’s in CPG, retail, or health) Line management experience Passion for engineering & strong track More ❯

Developer (BE)design our web front end Izegem, Flemish Region, Belgium 1 month ago Ghent, Flemish Region, Belgium 1 month ago Ghent, Flemish Region, Belgium 1 month ago Internship - Machine Learning Data Engineer Senior Fullstack Software Engineer (.NET/Azure/Angular Ghent, Flemish Region, Belgium 6 months ago We’re unlocking community knowledge in a new way. More ❯

Cycle Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies About Us J.P. Morgan is a global leader in financial More ❯

Continuous improvement across the team and wider organisation. Supporting the user acceptance testing process to make sure that implementation meets the needs of the customers. Collaborating with data scientists, machine learning engineers, and AI specialists to define AI-driven solutions that align with business needs. Gathering and analysing requirements for AI-powered features Understanding AI model lifecycle management More ❯

analytical skills and statistical knowledge, with an interest in complex problem-solving. Deep interest in coding, with strong Python skills and familiarity with the Python ecosystem. Good understanding of machine learning algorithms. Self-motivated, able to make decisions independently. Excellent communication skills to convey complex analyses clearly and precisely. Ability to collaborate effectively across teams. Dedication to quality More ❯

Cycle Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies About Us J.P. Morgan is a global leader in financial More ❯

re Made for This Agentic Experience: Hands-on experience building agent workflows using frameworks like LangChain, LangGraph, or similar orchestration engines. Deep AI Knowledge: Strong foundation in AI/ML concepts, especially around LLMs, prompt engineering, embeddings, and vector search. Engineering Excellence: Fluency in Python (AI workflows) and TypeScript (full-stack product integration). Able to write robust, testable production … Spirit: Able to work with engineers, product managers, and QA specialists in a highly cross-functional and fast-paced environment. Experimentation Mindset: Passion for testing ideas, building rapidly, and learning from experiments in a structured way. Nice to Have Experience designing RAG (Retrieval-Augmented Generation)/CAG systems using vector databases and hybrid search strategies. Knowledge of LLM vulnerabilities More ❯

your career potential. Across Amazon, we're working on technology that will transform purchasing and bring savings and efficiency for a digital, intelligent, and sustainable future. Through artificial intelligence, machine learning, and predictive analytics, Amazon Business (AB) brings automation and insights to provide a procurement solution to enable pioneering leaders to have a strategic role in transforming their More ❯

client facing assignments Experience working with data, analytics and technology to solve problems and drive business improvement Interest in infrastructure industry sectors Innovative thinking Understanding of Artificial Intelligence and Machine Learning techniques and their application to business problems Excellent facilitation and communication skills (both written and verbal) Ability to bring complex data, analytics and technology concepts to life More ❯

tools eg. ServiceNow Knowledge/experience of problem Management Tools. Proven experience in a technical support or SRE role, preferably supporting DevOps tools and technologies. Experience with GenAI or Machine Learning tools is a plus. Strong understanding of DevOps principles and practices, including CI/CD, infrastructure as code, and monitoring. Hands-on experience with common DevOps tools More ❯

client facing assignments Experience working with data, analytics and technology to solve problems and drive business improvement Interest in infrastructure industry sectors Innovative thinking Understanding of Artificial Intelligence and Machine Learning techniques and their application to business problems Excellent facilitation and communication skills (both written and verbal) Ability to bring complex data, analytics and technology concepts to life More ❯

and operations research methodologies. Experience with optimization tools and frameworks (Pyomo, GAMS, Gurobi, etc.). Experience with discrete-event based simulation. Developing and/or applying data modeling and machine learning methodologies. Experience with statistical and mathematical modeling environments (R, Python, MATLAB, etc.). Experience with programming languages such as Python, Java, C#, C++. A working knowledge of More ❯

product strategies based on user needs and business plans that extend to our global markets. Empower Business initiatives and facilitate decision making from both a user-centric perspective and machine learning capability. Minimum Qualifications: Recent 5+ years of experience in product management (mobile apps and web apps) in creating/mapping customer user journey experience from end to More ❯

We are looking for a Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data and AI systems to enhance our platform’s capabilities. If you thrive in a collaborative, fast-moving environment and want to make a real-world … and deploy machine learning models for production. • Optimize model performance based on key metrics for scalability, reliability, and real-world impact. • Build and maintain end-to-end ML pipelines, including data preprocessing, model training, deployment, and monitoring. • Work closely with cross-functional teams to integrate ML models into our SaaS platform for PAI and OSINT investigations. • Develop, maintain … and optimize scalable data pipelines for ingesting, processing, and storing large volumes of data. • Ensure data quality, consistency, and availability to support ML workflows. • Work with ELT processes and implement Medallion (Bronze/Silver/Gold) architecture to structure and optimize data transformation. • Align data infrastructure with business needs and product strategy for PAI and OSINT. System Optimization & Support • Monitor More ❯

deploy open-source models in cloud environments, optimizing inference and serving costs. Improve and maintain data pipeline reliability and participate in on-call rotations. Debug and fix issues in ML pipelines, even when the cause is obscure. Collaborate with cross-functional teams to integrate AI models into production systems. Clearly articulate the work you’ve done and the impact you … Meetups and regular team-building remote events: Enjoy occasional meetups and monthly game sessions. Generous Vacation: Take time off when you need it. Growth Opportunities: Continuous professional development and learning support. Dynamic Culture: Be part of a fast-moving, high-impact team. Stock Options: Get equity in our growing startup. Contacts Log In Only registered users can open employer More ❯

our business units. Our Technology teams offer you an environment full of exciting challenges - whether it's supporting and developing legacy systems or introducing modern technologies such as AI, machine learning, and highly automated trading applications. Our IT department, with around 300 employees, works mostly in an agile manner using a Scrumban approach and covers areas such as More ❯

s working, what’s not, and what to test next. Translate raw data into board-level insights - clear, concise, commercially relevant, and rooted in rigorous analysis. Leverage AI/ML tools (e.g. LLMs, RAG, clustering, regression) to build smarter internal tools and identify untapped growth levers. Design, implement, and interpret A/B tests and experiments that directly inform roadmap … day each year after 2 years tenure). Private medical insurance for you and your family with Vitality. Company pension contribution. Access to professional development resources and opportunities. Annual Learning & Development budget to support your professional growth. Monthly social budget to enjoy team activities and build connections. The Finish Line: If you are an experienced Senior Product Analyst with More ❯

Learning & AI Engineering Lead” to help power Royal Canin’s efforts towards a product lead organisation. You'll play a pivotal role in building scalable AI and ML solutions that unlock innovation across our global business. ? Why this role matters: At Royal Canin, we believe in health through nutrition for pets. We leverage the power of technology, machine … and care for millions of pets. This role is central to making that happen. ? What you'll do: Lead a team of engineers to design and deploy AI/ML and generative AI models Architect MLOps and LLMOps pipelines and coach our data science team on scalable, high-quality code Monitor model performance, define KPIs, and continuously improve solutions Collaborate … with cross-functional squads to deliver technical products that create real value powered by ML and AI Stay sharp—bring in new thinking, tools, and ideas to drive our capability forward ? What you’ll bring: 5–7 years in AI/ML roles (bonus if it’s in CPG, retail, or health) Passion for engineering & strong track record of delivering More ❯

Control-M product line is BMC's orchestration and automation platform. It helps the world's largest companies to automate time-sensitive, business-critical workflows. We orchestrate data and machine learning pipelines, supply chains, production lines, financial transactions, and other processes in complex IT environments worldwide. We continuously grow by adding and implementing the most cutting-edge technologies More ❯

Advanced AWS Connect certifications and Kinesis integration expertise Experience with contact centre analytics and reporting tools API management experience with AWS API Gateway Experience with additional AI services and machine learning workflows Competitive salary that rewards your exceptional skills Comprehensive pension plan for your future Bupa healthcare coverage for your wellbeing Access to a premium flexible benefits platform More ❯

to promote AI capabilities across teams and client projects. Ideal Candidate Profile Agentic Experience: Proven experience building agent workflows using frameworks such as LangChain, LangGraph, or equivalent. AI/ML Expertise: Solid understanding of large language models (LLMs), embeddings, vector search, and prompt engineering. Software Engineering Skills: Strong programming skills in Python (AI pipelines) and TypeScript (full-stack integration). … tuning, and deploying LLMs in production environments, including performance monitoring and optimization. Collaboration & Agility: Comfortable working in fast-paced, cross-functional teams. Experimental Approach: A passion for rapid iteration, learning from experiments, and data-driven development. Preferred Qualifications Experience designing RAG (Retrieval-Augmented Generation) or CAG systems using vector databases and hybrid retrieval techniques. Knowledge of LLM security challenges More ❯

on System Design, Architecture, Database Design, Modularization, Packages development, Web Content Accessibility Guidelines (WCAG), Robust, Scalable and Secured complex web application products. Implemented data science projects using AI and Machine Learning algorithms, Developed Chat-bot using rasa framework and leveraged large language models such as GPT, RAG LLM, Open AI, Google Palm LLM and Hugging Face. Deployed the More ❯

of financial industry security requirements and regulatory compliance frameworks ## Qualifications * Master's degree in Cybersecurity or related field * Experience in the financial services industry * Knowledge of AI/ML security considerations and controls * Experience building custom security tools and integrations * AWS Certified Security Specialty or other relevant security certifications * Experience with phishing simulation platforms and security awareness programs * Familiarity … allowance provided, and a fully stocked kitchen with healthy options for breakfast and snack Corporate events, including team outings, dinners, volunteer activities and company sports teams Education reimbursement and learning opportunities Modern offices with multi-monitor setups #J-18808-Ljbffr More ❯

and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes More ❯