326 to 350 of 3,466 Machine Learning Jobs in London

measurement.You naturally look for what can be reused, improved, and scaled.ð ️ What You BringQualifications & Experience5–10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting.Hands-on experience delivering AI, GenAI, or software solutions into production.Experience working directly with clients … London officeAccess to lifestyle discounts (travel, retail, entertainment & more) via Pluxee (Sodexo)Auto-enrolment pension scheme with Aegon.Training & Development via KLX (Keyrus Learning Experience)Strong focus on career development and internal mobility.Electric & hybrid car scheme via TuskerAnnual discretionary bonus, based on individual and company performanceReferral bonus for introducing ...

formal management authority.* Clear communication skills and experience working across engineering, data science, security, architecture, and product teams.## Bonus points* Experience with AI or machine learning platforms, model-serving infrastructure, MLOps, or data-intensive services.* Knowledge of advanced networking, API management, distributed systems, service mesh, or zero-trust … teams:** We bring together software engineers, data scientists, security specialists, product partners, and technical leaders to deliver dependable systems.**Continued development:** We support continuous learning, deeper technical specialization, and broader architectural responsibility.## Equal opportunity and reasonable accommodationsWe are committed to equal opportunity and an inclusive recruitment process. We welcome ...

structure we service. Next-Generation Platform Intelligence Building the AI foundations that make every future capability more powerful - predictive analytics, enterprise knowledge management, continuous learning models, and the intelligent infrastructure that underpins a truly AI-native Fund Services platform that compounds in value over time. What we'll need … Computer Science, Engineering, Data Science, or a related technical field Relevant experience across product development and engineering, with significant focus on AI/ML-driven products and heavy recent exposure to Generative AI Demonstrated ability to design, build, and scale complex software systems - including cloud architectures, distributed systems, and modern ...

structure we service.Next-Generation Platform Intelligence Building the AI foundations that make every future capability more powerful — predictive analytics, enterprise knowledge management, continuous learning models, and the intelligent infrastructure that underpins a truly AI-native Fund Services platform that compounds in value over time.What we’ll need from youBachelor … degree in Computer Science, Engineering, Data Science, or a related technical fieldRelevant experience across product development and engineering, with significant focus on AI/ML-driven products and heavy recent exposure to Generative AIDemonstrated ability to design, build, and scale complex software systems — including cloud architectures, distributed systems, and modern ...

professional services firms. Our Artificial Intelligence & Data (AI&D) team at Deloitte is at the forefront of transforming our clients’ industries through advanced analytics, machine learning, and artificial intelligence. Our clients include some of the largest and most well-known organisations, brands and public bodies. We partner with … develop solutions that leverage the latest AI & Data technologies.At Deloitte, you will be able to build your career, access the best training and learning opportunities, and develop new skills and hone existing ones. We work for a huge variety of interesting, international, and world-leading clients on exciting next ...

catalyst for accountable growth, not a brake.What We Are Looking ForEngineering & Technical Leadership• Substantial experience leading software engineering, data, or AI/ML teams, typically 12+ years of relevant experience with several in a leadership capacity, delivering production-grade solutions at enterprise scale.• Strong hands-on foundations in modern data … example Python, SQL, cloud-native platforms, data pipelines), enough to set technical direction credibly and make sound architecture decisions.• Demonstrated experience with AI/ML technologies, including LLMs, Retrieval Augmented Generation (RAG), agentic workflows, Natural Language Processing (NLP), and predictive analytics, and the discipline to run them reliably in production. ...

independently operating Solutions Architect. What we look for: Experience, technical customer‐facing and with a background in Data Science/Generative AI/Machine Learning/Data Warehousing or Data Engineering. You will be working in the following vertical sectors: Entertainment, Media, Telco and/or Hospitality. Financial ...

support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business ...

observability and operational excellence, including root cause analysis and continuous improvement activities.Lead integration across multiple internal platforms, services and data sources.Evaluate and implement AI, machine learning and generative AI capabilities to improve analytics, user productivity, decision support and workflow automation.Ensure solutions meet firm standards for security, controls, governance ...

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Ability to tackle design and functionality problems independently with little to no oversightExperience in Computer Science, Computer Engineering, Mathematics ...

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics ...

expanding its team and looking to bring in several Machine Learning Engineers . You'll help design and deploy data pipelines, ML models, and production systems that deliver real-time insights and automation throughout the business. This role is ideal for someone with strong software engineering fundamentals, hands … data experience, and a passion for building scalable, high-quality ML and data solutions in production environments. Essential Experience Strong programming skills in Python (Pandas, NumPy, etc.). Proficiency in SQL for data querying and transformation. Hands-on experience with Machine Learning techniques and frameworks (e.g., scikit-learn ...

with information retrieval concepts (e.g., indexing, ranking, query understanding) Exposure to clickstream data, user behavior analytics, and event tracking systems Experience supporting evaluation of ML-based ranking or retrieval systems Familiarity with RAG systems or GenAI applications Why join us? Join our team and contribute to a culture of innovation … publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness ...

Software Engineer – AI Enabled Engineering · UK We are seeking a skilled Java Software Engineer with a growing interest and demonstrated exposure to AI/ML integration. This role is primarily Java-centric — you will design and build cloud-native microservices on our BPA (Beyond Policy Administration) platform — with the expectation … leading global insurers and reinsurers. • A collaborative, innovation-driven culture with exposure to modern technologies and cloud-native architectures. • Professional development opportunities, certifications, and learning programs. • Competitive compensation and benefits package, aligned with experience and location. ...

coaching engineers on safe, compliant adoption within delivery practicesDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Practical experience in cloud computing. Knowledge of network protocols and technologies such as TCP/IP, DNS, DHCP ...

systemsFamiliarity with information retrieval concepts (e.g., indexing, ranking, query understanding)Exposure to clickstream data, user behavior analytics, and event tracking systemsExperience supporting evaluation of ML-based ranking or retrieval systemsFamiliarity with RAG systems or GenAI applicationsWhy join us Join our team and contribute to a culture of innovation, collaboration … publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness ...

work collaboratively in a team environment. Ability to communicate complex ideas effectively, both verbally and in writing A strong software engineering background with machine learning expertise to understand how the user facing product will tie into backend and architectural decisions Nice to Have Experience with FHIR ...

teams and documenting technical solutions. A proactive, self‐motivated approach to addressing issues and driving improvements in backend systems. A strong commitment to continuous learning and staying up‐to‐date with emerging technologies and industry best practices. Nice-to-Have Qualifications: Familiarity with message brokers such as Kafka … tools like Jira for managing tasks and sprint planning. Certifications in cloud technologies, such as AWS Certified Developer. Manage, host, and serve AI/ML models (MLOps), by ensuring their scalability, reliability, and performance in production environments. Location: Candidates based in Spain: flexible remote work, with availability to travel ...

security objectives.This role sits within a multidisciplinary AI engineering environment, working closely with Data Scientists, Software Engineers, Product teams and government stakeholders. The Senior ML Engineer will own the journey from experimentation and hypothesis testing through to secure, production-grade deployment, using a modern AWS-based MLOps and LLMOps platform.The … critical national systems, offering the chance to deliver real-world outcomes at scale.Key ResponsibilitiesDesigning, developing and optimising machine learning models across traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM solutionsLeading experimentation cycles, including hypothesis definition, experimental design, evaluation and iteration, while complying with governance ...

fine‐tuning, tailored to diverse product requirements. You will design and build production‐grade inference systems, working across Swift, Java, and Python to integrate ML capabilities seamlessly into Apple's ecosystem. As a senior technical contributor, you will set engineering standards, mentor engineers, and influence the technical roadmap for generative … features, taking full ownership from problem definition and prototyping through production release, working across Swift, Java, and Python codebases Establish engineering excellence across the ML development lifecycle, including robust testing, reproducibility, monitoring, documentation, and CI/CD for model and data pipelines Partner with research, product, design, and platform teams ...

with all configurations and content managed through Infrastructure-as-Code and DevOps principles.AI - Drive the adoption of emerging AI capabilities across security operations, leveraging machine learning, generative AI, agentic workflows, and Retrieval-Augmented Generation (RAG) to enhance analysis, automate decision-making, and accelerate security response.As the successful candidate ...

translate complex technical concepts for diverse audiences.Experience producing clear project documentation, technical specifications, and client-ready deliverables.Desirable Experience with advanced analytical techniques, such as machine learning, predictive modelling, or optimisation.Familiarity with data orchestration tools (e.g., Airflow, dbt, Prefect, Cloud Composer).Experience with containerisation or infrastructure-as-code (e.g. ...

represent Deloitte in client leadership forums.The following will be an added advantage:Relevant certifications in cloud and AI (e.g., AWS, Azure or GCP; machine learning or data engineering certifications).Experience establishing responsible AI practices (governance, risk and controls) for generative AI and advanced analytics.Consulting experience leading multi-workstream ...

world.As a Machine Learning Engineer at Autodesk Research, you will work side-by-side with researchers and engineers to build and enable ML-powered capabilities in Autodesk products. You are an ML engineer with strong software engineering skills who is passionate about solving problems and building things … working model from our offices in London.ResponsibilitiesCollaborate on projects at the intersection of research and product with a diverse, global teamBuild and iterate on ML pipelines, prototypes, and evaluation workflows, enabling rapid deployment and testing of experimental modelsWork with complex datasets and representations for model training, evaluation, and analysisAnalyze errors ...

wide goals Drive architectural decisions and technical excellence across teams Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives Team Building & Talent: Build and scale high-performing … office Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation Experience with infrastructure supporting large-scale AI/ML systems, including: GPU infrastructure and orchestration ML training and inference pipelines Model serving and deployment at scale Strong understanding of modern infrastructure technologies: Kubernetes, Terraform ...