551 to 575 of 669 Machine Learning Jobs in London

Databricks. In this role, you will define both high-level and low-level designs, shape scalable and secure data and AI/ML platform capabilities, and drive seamless integration with core enterprise systems. The ideal candidate combines deep cloud architecture expertise, strong data engineering and AI/ML platform experience … other data/AI services within the ecosystem.The ideal candidate brings a strong blend of cloud architecture, data engineering, and AI/ML platform experience, along with the ability to translate business requirements into scalable and secure technical solutions. Key Responsibilities: Architecture & Design Define ...

/GCP/Azure) Experienced building real pipelines — not just notebooks Curious about how financial systems actually work Bonus points for: Exposure to ML workflows Familiarity with dbt, Airflow, Docker Experience handling financial or semi-structured data Interest in LLM infrastructure and vector databases Finance background is not required. Intellectual … defined, low-risk task lists You want heavy supervision You are uncomfortable working directly with senior stakeholders You are looking for a purely academic ML role Upside Direct learning from investors Rapid technical growth Path toward AI Engineer/ML Engineer/Quant Data roles High visibility within ...

full-stack development and AI system design to complex enterprise environments. This role demands hands-on experience in building and deploying AI/ML solutions, a strong grasp of software engineering principles, and proficiency with cloud platforms. You will play a key role in developing scalable, intelligent systems that drive … pipelines. AI System Development: Implement and optimize AI models, ensuring they are scalable, maintainable, and production-ready. Work on GenAI, Agentic AI, and classic ML solutions. Enterprise Integration: Integrate AI solutions with existing enterprise systems and ensure seamless operation within the client and #39;s technology stack. Collaboration: Work closely ...

volume, low-latency payments data use cases across clearing, settlement, liquidity and regulatory reporting. The position focuses on cloud-native data platforms, AI/ML enablement and governance-aligned delivery in a highly regulated, large-scale banking environment. Key responsibilities: 1) Data Platform Strategy & Architecture Define and own a multi … cases. Support data quality, reconciliation and lineage requirements critical to payments operations and downstream risk, finance and regulatory reporting. 3) Emerging Technology & AI/ML Enablement Assess and selectively adopt emerging data and analytics technologies (e.g., distributed query engines, open table formats, streaming frameworks, graph and NoSQL stores). Evaluate ...

pipelines at scale Background in operations research or supply chain optimisation Exposure to LLMs as signal sources — extracting structured market intelligence from unstructured text ML Skills We're Looking For This role sits at the intersection of classical econometrics and modern machine learning. You don't need … outperform neural approaches on structured data, and vice versa. Strong intuition for regularisation, hyperparameter tuning, and avoiding leakage in time series cross-validation. Deep Learning for Sequences. Hands-on experience with temporal architectures - LSTMs, GRUs, Temporal Fusion Transformers, N-BEATS, or similar. Understanding of attention mechanisms and when transformer ...

proprietary NLP data. Collaborate: Partner with cross-domain experts to turn non-technical ideas into scalable, interpretable research designs. Deploy: Develop and maintain robust ML pipelines for both experimentation and production. Who You Are: Technical Expert: You have substantial experience with Python or R, and are skilled in querying … analyzing big data. NLP Specialist: You have a proven track record of developing and refining NLP models. Clear Communicator: You can explain complex ML/NLP methodologies to non-technical stakeholders with ease. Methodical: You are familiar with experiment tracking (DVC, Weights & Biases) and model evaluation metrics. Stand Out From ...

Computer Science, Data Engineering, or related field. Certifications in cloud platforms (e.g., Azure Data Engineer, GCP Associate Cloud Engineer). Familiarity with AI/ML applications in customer engagement and personalisation. Why Join Accenture? Work with cutting-edge technologies and global clients. Be part of a diverse, inclusive, and innovation … driven culture. Access world-class learning resources and career development programmes. Join a team that values stewardship, integrity, and client value creation. What’s in it for you: Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range ...

Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare … life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave (including company-wide wellbeing days) Access to LinkedIn Learning and ongoing development programs If you’re ready to shape the future of AI-driven customer experience and thrive in a collaborative, fast-paced environment ...

with one or more languages (e.g. Python, Java, Scala, Go ) Pragmatic approach to solving problems Nice to have: keen interest in modern AI/ML techniques Why Indicium AI Fast-growing start-up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely … meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget ...

plus) Experience building with cloud platforms such as AWS, Azure, or GCP Experience working with AI tools or platforms (LLMs, predictive models, ML infrastructure) Strong understanding of distributed systems patterns and trade‐offs Knowledge of non‐functional requirements—scalability, reliability, performance, observability Bonus points for: Interest in functional programming Experience … plus the ability to work from almost anywhere for up to 90 days per year £500 remote working budget to upgrade your home office Learning & Development $1,000 annual L&D budget for personal and professional growth Vacation & Leave 25 days of annual leave + bank holidays An extra ...

responsible for coordinating engineering, data science, architecture, product, and business teams to deliver measurable outcomes across areas such as: Evolution of agentic frameworks Machine‑to‑machine communication capabilities Evaluation tooling and automated rating frameworks Observability, governance, and cost‑tracking dashboards AI‑ready content ingestion and search quality improvements … clear mandate to drive clarity, alignment, and momentum. We’re looking for someone who brings: Proven experience delivering large‑scale platform, AI/ML, or data‑heavy technology programmes. A proactive, risk‑aware mindset with the ability to navigate ambiguity and drive clarity. Strong stakeholder management skills and the ability ...

Geophysicists and Algorithm Developers to manage massive computational workloads running from both in-house and external users. You will bridge the gap between complex ML backends and intuitive user interfaces, creating tools that directly accelerate our R&D and optimise the QC process of our advanced algorithms. Key Responsibilities Architect … Angular . You will play a major role at the development lifecycle of our core dashboard, the central hub of our imaging workflows. Optimize ML Workflows: Develop robust systems to query, parameterize, and track ML workloads. You will build utilities that allow our scientists to compare high-compute jobs, identify ...

Engineer to design, implement, and maintain security solutions that protect complex systems and sensitive data, with a strong focus on GenAI and AI/ML platforms. This role works closely with data scientists, engineers, and security teams to ensure innovation is delivered securely and at scale. This position is well … suited to security professionals who want to transition into a GenAI-focused career path and develop deep expertise in securing AI/ML systems. Key Responsibilities Threat Analysis and Vulnerability Assessment Conduct regular threat modelling and vulnerability assessments across AI/ML systems, including data pipelines, model APIs, and GenAI ...

advanced AI systems that deliver real business impact. Responsibilities as a Principal AI Engineer: Lead end‐to‐end delivery of scalable, resilient AI/ML pipelines aligned to business goals. Build and deploy advanced ML, DL, and LLM solutions, including RAG, agentic architectures, and evaluation frameworks. Mentor engineers in ML ...

move fast — without building tech debt mountains Must-Haves 3–5 years in a technical leadership role Proven track record delivering AI/ML products from inception to production Deep hands-on expertise in at least one core ML domain (strong preference for computer vision and/or generative … Experience with LLMs, conversational AI and evaluation of generative systems Strong MLOps and engineering mindset Hands-on with AWS, Python, SQL and modern ML tooling Strong data engineering and annotation strategy experience Experience leading teams and working with senior stakeholders Comfortable in fast-moving, evolving environments Simplicity mindset: start simple ...

priorities. Drive productivity and cost optimizations.Your Profile:Essential skills/experience/knowledge: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability. Experience in Enterprise … CrewAI, LangGraph). Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Proficiency in Python with AI/ML frameworks (PyTorch ...

experience across all Identity and Access Management core disciples including identity management, identity governance and administration, privileged access, and conditional access and in particular, machine identities. It also requires deep technical skills in the DevSecOps. This role will support the transformation of IAM into a modern, automated, predictable … SDLC from the ground up, ensuring AI models and systems are secure by default. Define and enforce secure coding practices for AI/ML components and APIs. Identify and assess threats specific to AI systems, such as model inversion, data poisoning, adversarial attacks, and model theft. Implement model encryption ...

echo control Ability to operate effectively in a fast-paced startup environment Strong communication skills and ability to collaborate across hardware, embedded and ML or cloud engineers Willingness to work onsite in Central London 4 days per week Experience in the following would be beneficial: Audio codecs and streaming pipelines … Experience using oscilloscopes or logic analysers Audio measurement techniques and designing repeatable evaluation methodologies Always-on or low-power audio detection systems Familiarity with ML frameworks such as PyTorch or TensorFlow Experience with GStreamer, WebRTC audio processing, SpeexDSP, RNNoise or similar Responsibilities for Audio Systems Engineer: Design, implement and tune ...

reference architectures, and go-to-market offerings What We’re Looking For: Essential Experience & Skills: Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation Strong understanding of: Prompt engineering RAG pipelines Model fine-tuning (supervised/unsupervised) MLOps/LLMOps and AI observability Hands-on experience building … FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP) Solid software engineering foundations ...

practices Work in a fast-paced, collaborative technical environment Utilise programming languages and tools like React Native, React, Node.js, JavaScript, TypeScript, micro services, AI, ML, open source frameworks, DevOps, large data sets, and more Perform software development leveraging a test-driven development pattern Collaborate with digital product managers, and deliver … support technical solutions in full-stack development tools and technologies Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community What we’re looking for Experience with influencing technical decisions ...

practices Work in a fast-paced, collaborative technical environment Utilise programming languages and tools like React Native, React, Node.js, JavaScript, TypeScript, micro services, AI, ML, open source frameworks, DevOps, large data sets, and more Perform software development leveraging a test-driven development pattern Collaborate with digital product managers, and deliver … support technical solutions in full-stack development tools and technologies Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community What we’re looking for Experience with influencing technical decisions ...

telecom ecosystems (BSS/OSS/Network/CX/Operations). Solid hands-on experience or strong working knowledge of: AI/ML pipelines, MLOps/LLMOps Generative AI (LLMs, RAG, embeddings, prompt engineering) Agentic AI frameworks and multi-agent orchestration Data platforms, big data tools, streaming analytics APIs … AI. Experience in leading workshops, hackathons, or innovation labs. Ability to mentor teams and drive organizational data literacy. Preferred Qualifications Certifications in AI/ML, GenAI, Cloud, or Data Engineering. Experience working with major telecom operators or technology vendors. Knowledge of TM Forum frameworks (Open APIs, eTOM, ODA). ...

solutions used across digital products, marketing, CRM, and operations. This is a hands‐on, senior technical role where you’ll work across the ML lifecycle - from early experimentation through to deployment, monitoring, and ongoing optimisation. You’ll collaborate with senior stakeholders and influence how AI is applied across the organisation. … Responsibilities Lead the design and development of production‐grade AI systems and services. Build and deploy classical ML models and LLM‐powered solutions. Develop APIs, integrations, and pipelines to embed AI into apps, CRM journeys, and internal tools. Own the full model lifecycle: deployment, monitoring, evaluation, retraining. Partner with Product ...

About Optibus: Optibus is a unified software platform revolutionizing public transportation planning, scheduling, and operations in over 7,000 cities worldwide. Using AI, ML, and optimization algorithms, it empowers agencies to design more efficient, equitable, and sustainable transit networks, enhancing passenger access, reducing emissions, and improving driver conditions. With offices … make it the preferred choice for cities and passengers alike. About the position: We are seeking a highly skilled and motivated Training and E-Learning Content Creator to join our effort in auditing, revamping, and creating engaging digital e-learning content for our educational platforms. As a member ...

engineers to deploy features end-to-end What they’re looking for New Grad/Early Career, ideally MSc or PhD in CS/ML/NLP (or related) Strong applied ML research background, ideally with publications in top venues such as: NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI (added bonus ...