151 to 175 of 428 Machine Learning Jobs in London

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. ...

Kafka, RabbitMQ, Redis. · Git, CI/CD pipelines. · Experience with data warehousing solutions such as Snowflake, Redshift, BigQuery, or Synapse. · Exposure to AI/ML workflows and model deployment. · Experience with streaming systems and real-time architecture. · Knowledge of event-driven and serverless architectural patterns. The Salary will ...

where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed … includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! Job Description Your Career Palo Alto Networks is revolutionizing cybersecurity in the age of Artificial Intelligence. ...

consistent data models and standards Support underwriting analytics and reporting teams to ensure data accuracy and usability Work alongside data science teams to productionise machine learning pipelines Contribute to DevOps and CI/CD practices within an agile delivery model Act as a trusted technical partner, advising ...

, data science, and scientific discovery. Our teams work at the intersection of cloud infrastructure, high-performance computing, and data engineering , enabling researchers and ML practitioners to move faster—from experimentation to real-world impact. This role sits at the heart of the platform: designing, scaling, and operating systems that … This Role Is For (Choose Your Strength) We’re open to different profiles and will shape the role around your strengths: 🔹 AI Platform/ML Infrastructure Engineers Kubernetes-based compute platforms GPU scheduling, batch & distributed workloads Supporting ML training, inference, and experimentation at scale 🔹 HPC/GPU Engineers Job schedulers ...

Aspire Life Sciences, Jack Wilson specialises at the intersection of technology and life sciences. He focuses on placing high-level Data, AI and Machine Learning talent with fast-growing startups across the UK, Europe, and the USA. Jack’s deep industry insight allows him to connect candidates with ...

cloud data platforms (Azure preferred; AWS or GCP acceptable). Familiarity with Git-based workflows and CI/CD pipelines. Exposure to analytics or ML-driven use cases is beneficial. Nice to have Databricks certifications (Associate or Professional). Experience supporting asset-heavy or industrial environments. Background in energy, utilities ...

Stats: You must have an excellent grasp of Linear and Logistic Regression . You understand the assumptions, limitations, and interpretability of these models. Advanced ML: Experience with boosting models is essential for our higher-complexity tasks. Analytics Patterns: A core ability to creatively analyse a raw dataset and spot trends ...

they're seeking a Backend Software Engineer to help bring that mission to life. The Role You'll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python, integrating … high-performance solutions. Day-to-day responsibilities include: Designing and implementing backend services for Python-based web applications (e.g., FastAPI). Integrating AI and ML components into production systems and APIs. Writing high-quality, well-tested, and well-documented code following best practices. Developing and monitoring metrics to improve system ...

they're seeking a Backend Software Engineer to help bring that mission to life. The Role You'll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python, integrating … high-performance solutions. Day-to-day responsibilities include: Designing and implementing backend services for Python-based web applications (e.g., FastAPI). Integrating AI and ML components into production systems and APIs. Writing high-quality, well-tested, and well-documented code following best practices. Developing and monitoring metrics to improve system ...

discovery of new opportunities, turning problems statements into business outcome dri ven technical proposals. Solve problems using creative approaches and emerging technologies. Be comfortable learning, and becoming a subject matter expert within, an assigned business domain. Collaborate with Enterprise Architects, Integration Architects and Cloud Architects to build coherent systems … React, C# . NET , Python, SQL, APIs , Azure, Power Platform, SaaS , PaaS , IaC . Exposure to and understanding of emerging technologies e.g. AI, LLMs, Machine Learning, NLP , MCP etc . Experience in architecture and software development methodologies , and design techniques e.g. Agile, C4, UML , TOGAF , Microsoft Well-Architected ...

processes (such as DBT), SQL, NoSQL databases is added advantage. Experience with data visualization tools and DevOps principles/tools is advantageous. Familiarity with machine learning and AI concepts, particularly in how they integrate into data architectures. Design and Lifecycle Management: Proven background in designing modern, scalable ...

backend services that support complex modelling work. Setting standards for clean, efficient engineering across Python(FastAPI), SQL and cloud environments. Training, tuning and deploying machine learning models into production. Creating processes for robust data extraction, transformation and management. Integrating new solutions with existing systems and ensuring smooth deployment. ...

Hireshire Hireshire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We’re now expanding into the AI/ML and Cloud Engineering space and are looking for curious, driven, and analytical minds. Role Overview As a DevOps Engineering Intern at Hireshire, you will collaborate ...

This role is ideal for someone who enjoys applied AI, complex data, and delivering real-world solutions. The Role Lead and deliver AI/ML solutions across text, imagery, audio, video and geospatial data Work closely with ML engineers, project managers and government customers Scope AI use cases, contribute … working with cloud platforms (AWS preferred) Ability to communicate complex technical concepts clearly Desirable AWS services (SageMaker, ECS, Lambda, S3, Bedrock) MLOps/ML engineering experience (Docker, MLflow) Experience in government or regulated environments Practical experience applying LLMs Security Clearance UKIC DV eligible required £7,000 tax-free DV bonus ...

ML Platform Engineering Manager – AI Infrastructure 📍 Central London (3 days on-site) | 🕒 Full-time We’re an AI-first technology company building tools that help people and brands create beautiful visual content at scale. Our products are powered by cutting-edge machine learning and used by millions worldwide … just getting started. We’re now looking for an ML Platform Engineering Manager to lead the team responsible for the infrastructure behind our AI models. This is a hands-on leadership role at the intersection of engineering, research, and product—perfect for someone who loves solving complex systems problems ...

using modern DevOps methodologies to increase efficiency and productivity. Scan and leverage cross-industry trends in new and emerging technologies such as artificial intelligence, machine learning and data science to apply in the context of accountancy and professional services. Provide proactive maintenance on support issues to ensure excellent … with cross-functional teams to define, design and ship new features. Mentor and guide junior and mid-level developers, fostering a culture of continuous learning and improvement. Communicate effectively with stakeholders to understand requirements and provide technical insights. Lead by example in following best practices and coding standards. Participate ...

bridge between engineering, product, and commercial. What I’m Looking For 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments. Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments … continuous delivery, and high-performing lean teams. People-first leadership style, with a proven ability to build and nurture high-performing teams. Exposure to machine learning, NLP, or financial data products is highly advantageous. Comfortable working in fast-moving, ambiguous environments where both execution and strategic vision matter. ...

craft intuitive and highly functional user interfaces. Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows. Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations. … specification and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations ...

backend systems Experience working on software that supports physical products, devices, or hardware-integrated systems Exposure to data-heavy systems and/or machine learning workflows Solid understanding of cloud infrastructure and DevOps practices Background spanning both smaller, fast-moving environments and more structured or enterprise-scale teams … management skills Technology Environment Frontend: React, TypeScript Backend: Node.js, Python, REST and GraphQL APIs Cloud and Infrastructure: AWS, Docker, CI/CD Data and ML: Python-based data and ML tooling Working Pattern Hybrid working model Typically 2 days per week in the office, with flexibility for periods of increased ...

annual ad sales and work with prestigious global brands. Cutting-Edge Technology: utilise advanced analytics platforms and tools, including AI and machine learning, to reshape the digital advertising landscape. Collaborative Environment: Work with a diverse team of professionals and engage with C-suite executives, gaining invaluable consulting experience. ...

roadmap and mentor future hires About You Strong experience in LLM engineering, RAG systems, prompt orchestration, and agentic architectures Proven experience delivering ML/AI systems into production environments Excellent Python engineering and system design skills Familiarity with APIs, MLOps, and cloud deployment (AWS, GCP, or Azure) Clear communicator, comfortable ...

data experience for scientists, engineers, and decision-makers - increasing productivity, and reducing time spent on 'data mechanics'. Provide best-in-class AI/ML and data analysis environments to accelerate predictive capabilities and attract top-tier talent. Aggressively engineer data at scale to unlock the value of our combined ...

Azure Cloud Experience Collaboration & Delivery Cross-functional Collaboration: Working with software engineers, DevOps, and product teams Rapid Prototyping: Building and deploying MVPs Understanding of ML & LLM Techniques: To support integration, scaling, and responsible deployment Prompt Engineering: Designing and optimising prompts for LLMs across use cases Model Evaluation & Monitoring Evaluation Metrics ...

component documentation tools (e.g., Storybook ). Understanding of performance optimisation techniques for large-scale applications. Experience developing frameworks and tools specific to AI/ML Familiarity with cloud platforms and development in cloud environments. Why Join Us? At our client's organisation, you will enjoy a collaborative and inclusive workplace ...