226 to 250 of 488 Machine Learning Jobs in Central London

Data & AI program strategy aligned with business and digital transformation objectives. Build and manage a multi-year roadmap covering data platforms, advanced analytics, machine learning, and GenAI applications. Identify high-value business use cases in areas such as marketing, R&D, medical affairs, quality, manufacturing, and supply chain. … data, analytics, AI, or digital transformation roles. Proven track record leading complex data/AI programs in regulated environments. Strong understanding of data architecture, ML/AI technologies, and cloud platforms (e.g., AWS, Azure, GCP). Experience working with cross-functional teams in commercial, R&D, medical, or supply chain ...

Data & AI program strategy aligned with business and digital transformation objectives. Build and manage a multi-year roadmap covering data platforms, advanced analytics, machine learning, and GenAI applications. Identify high-value business use cases in areas such as marketing, R&D, medical affairs, quality, manufacturing, and supply chain. … data, analytics, AI, or digital transformation roles. Proven track record leading complex data/AI programs in regulated environments. Strong understanding of data architecture, ML/AI technologies, and cloud platforms (e.g., AWS, Azure, GCP). Experience working with cross-functional teams in commercial, R&D, medical, or supply chain ...

tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in AI/ML and apply relevant research to product needs. Participate in design reviews, code reviews, and incident response. Qualifications Bachelor’s degree in Computer Science, Engineering … experience with proven expertise in at least one programming language (Python/Java/Typescript) with experience building APIs and integrating backend systems. Solid Machine Learning fundamentals. Model Context Protocol for managing context and tool interfaces for agents. LLM integration patterns, including prompt orchestration and tool calling. Retrieval ...

where your decisions will shape both the technology and the team from the ground up. What You’ll Bring MSc or PhD in AI, Machine Learning, Computer Science, Robotics , or a related quantitative field. 5+ years working at the intersection of research and engineering, translating state … high-performance AI teams, and setting technical roadmaps. Strong programming expertise in Python , C++ , Rust , or Java . Publication record at leading AI/ML conferences or journals (e.g. NeurIPS, ICLR, CVPR, ICCV, ICRA ). Clear communication skills, capable of bridging the gap between research depth and business strategy. ...

salary £60,000- £90,000 dependant on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role, and an opportunity … Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure ...

Foundry, or Fabric-based AI services. Understanding of data governance, metadata management, and data quality best practices. Experience with statistical modelling, forecasting, or machine learning techniques. Relevant Microsoft certifications (Power BI, Fabric, or Data Analyst Associate). Work in a way that works for you: We promote … time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the Business : RELX is a global provider of information-based analytics ...

insights. What We’re Looking For Proven experience leading or managing a data science or analytics team. Strong technical foundation in SQL, Python, and machine learning principles. Excellent communication and stakeholder management skills – comfortable operating with senior leadership. Experience in a product-led, digital or marketplace environment ...

digital product environment. In this role, you’ll sit at the intersection of data, product, and experimentation — partnering closely with Product Managers, Engineers, and Machine Learning teams to deliver insights that shape product direction, user experience, and commercial outcomes. This is a hands-on, high-impact role suited ...

cost-to-serve. AI tools that improve customer experience, retention and operational efficiency. What We’re Looking For Strong experience building applied AI or machine learning systems in production environments. Advanced Python skills and hands-on experience with modern AI tooling (e.g. LLM frameworks, vector databases, orchestration libraries ...

guidance. Brings a strong sense of ownership, urgency, and adaptability. Nice to Haves: Understanding of microservices architecture and event-driven distributed systems. Familiarity with machine learning, NLP, or data-intensive systems. Experience with AWS or other cloud platforms. Why Join Growth and impact. Joining at this stage means ...

Apache Camel 17. Postgresql Good to Have: 1. OBIEE Knowledge 2. TOGAF Certified 3. Splunk 4. Hadoop/EMR/Apache Spark Experience 5. Machine learning and Analytics Profile Summery: 1. The Software Architect should be responsible for making intuitive high-level decisions for software development. 2. Ability ...

Excellent hands-on Python experience with experience working with modern LLM/GenAI frameworks (e.g. LangChain, LangGraph, PyTorch) with deep expertise in AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers) Excellent understanding of the Microsoft ecosystem including Azure, AI services, and the evolving roadmap shaping ...

growth, community-driven marketplace is looking for Product Data Scientists to join a central insights function. The team partners closely with Product, Engineering and ML to shape product strategy, deliver experimentation, and guide commercial outcomes. This is an opportunity to take ownership of a core product area, drive data ...

balancing engineering quality with delivery Nice to Have Experience with digital media, content workflows, or YouTube APIs Familiarity with Airflow, Composer, Dagster, or Prefect ML/AI awareness (classification, embeddings, tagging workflows) Experience with high-throughput scheduling or rules engines Please apply ...

response accuracy • Partner with product and engineering on chat flows and continuous improvement • Contribute to AI platform architecture and best practices • Mentor junior ML/AI engineers (no formal line management) Key details • Salary: £80,000 base + 10% bonus • Pension: 5% matched • Working model: Hybrid, 3 days per week ...

regulated technology landscapes and security frameworks. Familiarity with DevSecOps and compliance-driven delivery in cloud-native contexts. Interest or experience in AI/ML application in digital financial services. ...

data, or product environments. A knack for translating business needs into clear, detailed requirements and user stories. Hands-on experience with AI/ML or LLM-based solutions (think: generative assistants, recommendation engines, automation tools). Strong analytical chops and a love for problem-solving. Top-notch communication skills ...

development experience in Python (with Django and Go) Demonstrated ability of productionising/deploying AI models Familiarity with the AWS cloud platform - AI/ML services such as SageMaker and Lambda University Degree in Computer Science, Engineering or Mathmatics If you are interested in the Data Scientist | UK's Fastest ...

reports and presentations to maintain alignment throughout the lifecycle. Person Specification • Strong understanding of data architectures, analytics platforms and emerging technologies including AI and machine learning. • Commercial awareness and familiarity with governance frameworks and market trends. • Excellent analytical skills and ability to turn complex data into actionable insight. • Skilled ...

performance, reliability, and observability of AI services. About You – Ideal experience 5+ years in engineering, with 2+ years focused specifically on applied AI/ML or LLM systems. Strong background in the Microsoft technology stack (.NET, APIs, services, background processing). Hands-on experience with commercial LLM platforms (e.g., Azure ...

Nice to Have but not essential: Experience with event-driven architectures and NextJS/NodeJS build environments. Experience supporting data pipelines or AI/ML workloads. Background in startup environments and exposure to security frameworks or compliance processes. Benefits: Hybrid working model (minimum 3 days a week in office). ...

Nice to Have but not essential: Experience with event-driven architectures and NextJS/NodeJS build environments. Experience supporting data pipelines or AI/ML workloads. Background in startup environments and exposure to security frameworks or compliance processes. Benefits: Hybrid working model (minimum 3 days a week in office). ...

NetMind.ai, we’re building the next-generation AI/ML platform powered by a global decentralized GPU infrastructure. Our mission is to deliver the simplest and most accessible generative AI solutions on the market and democratize access to AI technology globally. Our AI services range from inference model APIs, training ...

Founding ML Engineer/Founding Head of Engineering - London- £120,000 Seniority: First senior technical hire Focus: Reasoning engine design, data strategy, early engineering team building Role Overview You will serve as the company’s founding technical leader, architecting a reasoning and simulation engine that models how buildings are constructed. … technical vision with early partners and construction stakeholders. Contribute to a culture centred on collaboration with manual workers Requirements 8+ years of experience deploying ML systems in production (start-up or fast-iteration environment strongly preferred). Experience leading teams or cross-functional AI/ML initiatives with PM-style ...

Equity My client are a fast-scaling SaaS scale-up (Series C, $100m raised in 2025) that is redefining how global powerhouses operate. Their ML/AI-enabled platform supports over 1,000+ brands worldwide, streamlining business processes like never seen before. With 10× revenue growth in the past year … APIs, pipelines, and orchestration power the platform that 1,000+ brands rely on every day. ✨ AI at the core – work on infrastructure that enables machine learning and intelligent decision-making across commerce. ✨ $50m investment – fueled expansion and innovation, backed by world-class investors. ✨ Career trajectory – Clear scope ...