351 to 375 of 1,360 Machine Learning Jobs in the UK

Machine Vision Internship A brilliant opportunity for a current undergraduate or postgraduate student to gain hands-on experience at a growing UK-based AI start-up working at the forefront of machine vision. This internship offers the chance to get stuck into real-world projects involving data collection … fieldwork (5 days per week) Salary: £30,000 pro rata Duration: 2–3 months, with flexible start date (potential to extend) Requirements for Machine Vision Intern: Consistent top academics and studying/studied for a degree in a STEM subject such as Computer Science, Engineering, or Data Science Solid ...

Senior GenAI Platform Engineer/Senior AI/ML Platform Engineer Hybrid – London A rapidly scaling AI innovator is searching for an exceptional Senior GenAI/AI‐ML Platform Engineer to play a pivotal role in shaping and advancing their next‐generation intelligence platform. This organisation is building high‐performance … systems design, high‐throughput data processing, and the creation of robust frameworks that enable rapid experimentation, safe iteration, and reliable productionisation of LLM‐ and ML‐driven features. This role is ideal for someone who thrives in fast‐moving environments, enjoys deep technical problem‐solving, and wants their work to have ...

architectures that integrate AI capabilities with existing insurance systems and digital platforms. Key Responsibilities Translate the vision of senior client stakeholders into an AI, ML, and GenAI architectural strategy and implementation roadmap, ensuring alignment with organisational goals and digital transformation initiatives. Provide guidance on the suitability of AI and ML … initiatives and identify use cases that can scale across the organisation. Design, recommend, and implement end-to-end architectures that integrate AI and ML solutions with existing insurance platforms and enterprise systems. Collaborate with enterprise, application, data, and DevOps architects, along with data scientists, MLOps engineers, GenAI engineers, and business ...

Role/Job Title: AI & ML Senior Engineer Work Location: London The JJ Mack Building, 33 Charterhouse St, EC1M 6HA Mode of Working: Hybrid If Hybrid, how many days are required in office?: Minimum 2 days in office The Role Were looking for an AI & ML Senior Engineer to join … growing ML Engineering team. Youll work alongside data scientists, engineers, and product managers to develop, deploy, and operate robust ML systems that power key services across our Digital and Retail platforms. This role focuses on ML Ops and ML Platform development, helping us to scale and maintain production-ready ML ...

Staff ML Engineer – AI/NLP/Search (London – Hybrid) £90,000 - £110,000 An industry-leading, AI-first technology platform in the intellectual property space is hiring a Staff-Level ML Engineer to lead all Data and NLP initiatives. This company was an early adopter of Large Language Models … building advanced, agentic AI workflows that autonomously answer complex research questions. The platform combines proprietary ML models with cutting-edge NLP techniques to deliver high-precision search and insights at scale. The Role As the technical lead for Data & NLP, you will: Own and improve search performance (precision & recall) Optimise ...

Glasgow_Bournemouth Delivery Unit project. This is an exciting opportunity to work with a global leader in financial services, delivering innovative AI/ML solutions to various prominent clients. Key Responsibilities: Formulating, designing, and delivering AI/ML-based decision-making frameworks and models for business outcomes. Measuring and justifying … value of AI/ML-based solutions. Collaborating and managing the team to perform effectively and engaging with multiple teams. Providing solutions to problems for the immediate team and across multiple teams. Developing and integrating innovative AI/ML models that drive business insights and enhance decision-making processes. Conducting ...

architect will provide technical leadership to data engineering and analytics teams and ensure the platform supports enterprise reporting, advanced analytics, and AI/ML initiatives. The ideal candidate should also have exposure to AI/ML data platforms and experience in the hospitality domain, supporting systems such as reservations, guest … Snowflake performance, workload management, and cost governance. Establish data governance frameworks including access control, data security, and compliance standards. Design and support AI/ML-ready data architecture for advanced analytics and predictive modelling. Provide architectural guidance to data engineering, BI, and analytics teams. Design architecture to support data consumption ...

successful candidate will play a key role in designing, developing, and maintaining the data infrastructure that powers analytics, reporting, automation, and AI/ML use cases across the organisation. Key Responsibilities Design, build, and maintain scalable, secure, and reliable data pipelines (batch and streaming). Develop and optimise ETL/… workflows. Familiarity with Infrastructure-as-Code (Terraform, CloudFormation, ARM, etc.). Strong understanding of data quality, testing, and observability practices. Desirable Skills Experience supporting Machine Learning pipelines or feature engineering. Knowledge of containerisation (Docker, Kubernetes). Experience with dbt for modelling and transformation. Background in financial services, payments ...

embedded within core business platforms. What you'll be doing Defining enterprise AI architecture strategies for financial services clients. Designing scalable AI platforms and ML infrastructure integrated with enterprise data systems. Architecting **end-to-end AI pipelines**, from data ingestion through to model deployment. Leading engineering teams across AI, machine … Typical platforms and technologies include: Cloud platforms such as **AWS, Azure or Google Cloud** Data platforms including **Databricks, Snowflake or BigQuery** Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience designing enterprise AI or data platforms ...

including Land Rover, Edward Jones & Kroger. The Hive platform is delivering novel intelligence at the intersection of quantitative social psychology, behavioral science & AI/ML to accelerate & transform how work is done. We’re looking for our go-to infrastructure partner to join our team and get on board this … Terraform, CloudFormation) across AWS (must have deep experience), GCP, or Azure. • Architect and maintain highly available, fault-tolerant systems that support our AI/ML workloads, web applications, and data pipelines. • Manage containerization and orchestration platforms (Docker, Kubernetes, ECS) to support microservices and ML model deployments. CI/CD & Automation ...

working in consulting, private equity, financial services, or complex enterprise environments Right to work in the UK Desirable Skills & Experience Exposure to AI/ML concepts (e.g. machine learning models, NLP, RPA, decision intelligence) Experience with data platforms, cloud ecosystems, or analytics tools Knowledge of post-merger integration ...

including machine learning models, large-scale data pipelines (PySpark), and production-grade deployment architectures within Foundry’s ecosystem. Evaluate and select optimal ML and data technologies, frameworks, and platform components within Foundry and compatible cloud environments. Establish best practices, governance, and architectural standards for AI and data science … Foundry-based AI solutions. Lead review and troubleshooting of system architecture, AI performance, reliability, and data pipeline health on Foundry. Stay informed of AI, ML, data engineering, and Foundry platform advancements, championing adoption of innovative solutions. Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. ...

Microsoft Fabric and/or Databricks Experience or awareness of Big Data, Data Science, AI, or Machine Learning technologies, including integration of ML models or Generative AI components Excellent communication and problem-solving skills Competitive salary, benefits, and strong career development opportunities are offered within a collaborative ...

science activities, interfacing and integrating data science solutions into primary software environments. Experience and awareness of AI, Machine Learning, Generative AI and ML-Operations. Working within the Public Sector either embedded or as supplier. Secure Public and Private Cloud experience. Virtualisation and Containerisation techniques, technologies, risks and opportunities ...

want to build AI products used by millions of consumers globally? Have you deployed production AI systems that combine LLMs with traditional ML? Are you ready to work at the intersection of beauty, retail and applied AI? A globally recognised direct-to-consumer beauty brand is hiring an AI/… ML Engineer to join its London-based data team. The company is one of the fastest-growing prestige beauty brands worldwide and has built a strong in-house technology capability, using AI across customer experience, product recommendations and internal operations. Their data and AI team owns the full value chain ...

opportunities, and change management. What You Bring Expertise in cloud platforms (AWS, Azure, GCP) and multi-cloud integration. Deep understanding of large language models, machine learning frameworks, and AI architectures. Proficiency in programming languages (Python, Java, C#). Strong analytical and problem-solving skills for complex system design. ...

live operations. You'll join a high-performing, Agile product squad as a full-stack Data Scientist, sitting at the intersection of data engineering, ML, and operations research. What You'll Be Doing Designing and delivering optimisation and ML models (linear/mixed-integer programming, heuristics, supervised/unsupervised learning … optimisation background - this is a must Fluent Python, with hands-on experience of scikit-learn, pandas, numpy, Gurobi or similar OR packages Production ML/optimisation software experience - you've shipped models that run at scale Cloud platform experience (AWS preferred); familiarity with SageMaker, DVC, GitHub Actions a bonus Strong ...

Role: Full-time (Permanent Role) We are building a world-class AI research team focused on advancing next-generation agentic systems and intent-aware learning architectures. Our mission is to bridge cutting-edge research in large language models, reinforcement learning, and alignment with scalable, real-world production systems. … Computer Science, Machine Learning, NLP, or related field (exceptional MS candidates considered). 5+ years post-PhD (or equivalent industry experience) in ML research. Strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP). Demonstrated track record of translating research into production systems. Experience ...

GitHub Actions - CI/CD Firebase - Feature flags Cloudflare - CDN and DNS AI & Machine Learning Python BAML - LLM prompt engineering DSL Vertex - ML Ops Why Join Us This is a ground-floor opportunity to shape the product and the codebase from day one. You won’t just ...

evaluating emerging technologies and guiding production deployment of AI solutions. Requirements for the Senior AI Engineer STEM degree with 5+ years delivering AI/ML solutions in industry. Proven track record building and deploying production AI systems at scale. Strong Python expertise with modern ML frameworks including PyTorch, TensorFlow, Scikit … Learn, JAX, XGBoost, OpenCV and Transformers. Experience developing LLM and generative AI solutions, including RAG architectures, LangChain, vector databases and cloud ML deployment. Strong stakeholder communication skills Nice to haves: Experience in industrial/energy environments, enterprise AI platforms (Azure ML, Foundry, Databricks) or agentic AI systems This ...

Biometrics platform, ensuring alignment with emerging industry standards including NIST FRTE and FIDO Alliance requirements Design and optimize Python-based AI/ML backend systems for biometric processing, with integration points across Ruby and Elixir microservices Collaborate with cross-functional teams to implement privacy-compliant solutions adhering to BIPA, CUBI … deployment using Docker and Kubernetes Proven track record of designing and implementing scalable distributed systems and microservices architectures General understanding of modern AI/ML frameworks (TensorFlow, PyTorch) and model deployment in production Deep understanding of software security principles, cryptography, and privacy-by-design methodologies Experience with agile development methodologies ...

small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible … knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 Build fundamental models for education - solving the ultimate learning ...

with organisational standards Stay current with developments in LLMs, generative AI, and applied machine learning About You Proven experience in AI/ML engineering, AI architecture, or data science Strong understanding of generative AI, LLMs, NLP, and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Experience deploying AI models ...

into scalable and secure cloud architectures, with experience in cost optimisation. Data & AI Architecture Strong understanding of data platforms, analytics solutions and AI/ML‐driven architectures. Application Architecture Proficiency in serverless, containerised and microservices‐based workloads, with CI/CD and DevOps practices. Security Architecture Strong knowledge … Awareness of cloud governance, auditing, account management and cost allocation strategies. It Would Be Advantageous To Have AWS Specialty certifications (e.g. Security, Advanced Networking, Machine Learning). Experience working with other cloud platforms such as Azure or Google Cloud. What’s In It For You In addition ...

technology leaders, we want to hear from you! About Us Regent College London is a leading independent higher education provider, offering flexible and inclusive learning across multiple London campuses. We are student-focused, digitally forward, and committed to academic excellence — reflected in our 90% student satisfaction rating … Algorithms in Java Databases using SQL Advanced Databases and Big Data using Python Web Design Programming using ASP .Net Core Cloud Computing Applied Machine Learning using Python Key Responsibilities Deliver lectures, seminars, and tutorials in line with curriculum standards Develop and update teaching materials and maintain digital learning ...