226 to 250 of 293 Machine Learning Jobs in Central London

generative systems. What You’ll Do Conduct AI market research, horizon scanning, and trend analysis. Design, prototype, benchmark and deploy scalable AI/ML solutions. Build and validate models with modern tools and frameworks. Analyse data with Python, SQL, ML/DL libraries, and deliver actionable insights. Visualise results … Hands‐on experience with advanced AI and end‐to‐end solutions. Strong Python/Java skills and familiarity with TensorFlow/PyTorch. Proficient in ML/DL models, databases, ETL, and data pipelines. Experience with cloud (AWS/Azure/GCP) and MLOps. Expertise in generative AI & LLMs (OpenAI, Hugging ...

Strong communication skills enabling effective collaboration with technical teams and non-technical stakeholders alike Bonus: experience with video streaming technologies, WebRTC, or AI/ML integration workflows Work Permissions You must have the right to work in the United Kingdom. Visa sponsorship may be available for exceptional candidates. Key perks … real-time data processing, and scalable architectures are in exceptional demand as companies race to deliver next-generation media experiences. This sector offers continuous learning opportunities, exposure to cutting-edge technologies, and the chance to work on products that millions of people will use. For developers seeking meaningful impact ...

world value. What You’ll Bring 3+ years experience in a commercially driven customer environment Strong Python skills and solid grounding in AI/ML fundamentals. Experience with some of Databricks, LangChain , vector databases , or LLM orchestration tools . Experience in RAG pipelines , transformers , and modern AI architectures . Understanding … plus). Recent, hands-on experience with applied LLM projects . Strong communication and stakeholder engagement skills. A Master’s degree in Computer Science, ML, or AI is preferred but not required. The Opportunity Be part of an ambitious AI journey - already 70% built, with big plans for the next ...

world value. What You’ll Bring 3+ years experience in a commercially driven customer environment Strong Python skills and solid grounding in AI/ML fundamentals. Experience with some of Databricks, LangChain , vector databases , or LLM orchestration tools . Knowledge of RAG pipelines , transformers , and modern AI architectures . Understanding … plus). Recent, hands-on experience with applied LLM projects . Strong communication and stakeholder engagement skills. A Master’s degree in Computer Science, ML, or AI is preferred but not required. The Opportunity Be part of an ambitious AI journey - already 70% built, with big plans for the next ...

enterprise data strategy. The ideal candidate will partner with business and technology leaders to deliver high-performance data systems that support analytics, AI/ML, and real-time insights. Key Responsibilities Architecture & Solution Design Architect end-to-end Databricks Lakehouse solutions including data ingestion, ETL/ELT pipelines, Delta Lake … Proven experience leading teams and delivering enterprise-grade data solutions. Preferred Qualifications Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Architect ). Experience building ML solutions using MLflow or integrating with cloud ML services. Experience in BFSI, Retail, Telecom, or Healthcare data environments. Experience with real-time data processing (Kafka ...

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 ...

SDLC. Skills & Experience (Mandatory) Degree in Computer Science, Data, Finance, or related field. Strong hands-on expertise in Python , SQL , and modern AI/ML frameworks (TensorFlow, PyTorch). Experience with at least one major backend language (Java, C++, C#, Go). Working knowledge of Typescript/Node.js and modern … frameworks. Proven track record in AI/ML roles within finance, fintech, or consulting , especially in regulated environments. Deep understanding of AI governance, ethics, guardrails, compliance , and data privacy. Experience building or deploying LLM-powered systems , agentic workflows, and code-generation pipelines. Strong capability in code review, automated testing ...

architectures. Tech Stack Frontend: JavaScript, React Backend: Node.js, Python Infrastructure: AWS/GCP (experience with modern cloud environments is a plus) AI/ML: Exposure to applied AI, data models, or large language models preferred Tooling: GitHub, Docker, CI/CD pipelines About You 7+ years of professional experience … leadership or management role. Strong background in full-stack JavaScript development (React + Node.js). Experience working with or integrating AI/ML systems or APIs. Proven ability to lead high-performing teams in a fast-paced, product-led environment. Excellent communication skills and a collaborative mindset. Comfortable balancing strategic ...

grade” really looks like - reliability, observability, safety, evaluation, failure handling During non-training weeks, working as a senior IC on internal AI engineering/ML projects 🎯 What They’re Looking For A senior AI/ML engineer with real deployments, excellent communication skills and a passion for teaching. Required experience ...

emerging AI tech & trends including genAI, LLMs, and agentic systems Assess client needs to design and recommend innovative AI solution: prototype, build, and train ML/DL models (including GenAI) Support project teams with technical input for roadmaps, proposals, and PoC preparations, collaborating with Data/AI Engineers on full … ethics-compliant AI strategies across EMEA sectors like energy, automotive, and infrastructure What we’re looking for 5+ years hands-on AI/ML experience across industries, including some time in a client-facing role Core tech stack: Python/Java, TensorFlow/PyTorch/scikit-learn, cloud AI services ...

product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you’ll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology. Role Overview: Experienced Technical Architect … caching, high-speed data access) Elasticsearch (search and indexing strategies) Other modern data technologies for fast storage and retrieval. Strong knowledge of AI/ML integration within enterprise architectures. Expertise in data modelling, distributed systems, and microservices architecture. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes ...

lead the transition from "zero-shot" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a "Full Stack" Partner: While the backend/data … applications using Foundation Models/LLMs. You understand context window management, prompting strategies, and how to chain models together to achieve reliable results. True ML Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn ...

initiatives that power discoverability, recommendations, and pricing across multiple marketplaces. As Senior Product Manager you’ll sit at the intersection of product, ML, and data engineering, leading important AI/ML initiatives while shaping team processes, infrastructure, and long-term product strategy. This is a chance to scale existing …/ML capabilities, productionize proofs-of-concept, and influence strategic initiatives at board level. Why this role is special: 🚀 Lead the first Data Enablement team, scaling AI/ML products with significant business impact 📊 Full ownership of capabilities that drive discoverability, recommendations & pricing decisions 🧠 Collaborate across ML engineers, data engineers ...

business. The Role This is an exciting opportunity for a commercially minded Data Scientist to take ownership of end-to-end modelling and ML pipeline development within a fast-paced, consumer-focused organisation. You’ll lead impactful work across the full lifecycle — from exploration and predictive modelling to deployment … teams to deliver scalable, high-value solutions. Key attributes of the suitable Data Scientist include: Strong technical foundation in Python, SQL, and cloud-based ML workflows, with experience building and deploying end-to-end predictive models. Exposure to MLOps or ML engineering practices , including pipelines, CI/CD, model monitoring ...

Siena Partnership are working with a leading financial services organisation is seeking a Senior Full Stack AI/ML Engineer for an initial 6-month contract . This role focuses on taking AI models built by a third-party provider and turning them into robust, production-grade systems , while helping … establish a long-term internal AI/ML engineering capability. What you’ll do Deploy and operationalise AI/ML models into live production environments Build observability, monitoring, and continuous evaluation to manage model performance and drift Design and implement CI/CD pipelines for scalable, reproducible model delivery Optimise ...

Expertise •Proven experience in client-facing analytics leadership roles (preferably in healthcare or public sector). •Strong knowledge of data platforms (Azure), AI/ML frameworks, and visualization tools. •Expertise in stakeholder management, solution architecture, and project governance. •Understanding of Responsible AI, data ethics, and regulatory compliance. •Excellent communication, presentation … into actionable analytics strategies. •Drive account growth through consultative selling and solutioning. Analytics & Technical Leadership: •Oversee design and delivery of advanced analytics, AI/ML models, and data-driven solutions. •Guide technical teams on architecture, data engineering, and model development best practices. •Ensure compliance with data privacy, security, and regulatory ...

want to design and lead AI strategy across a PE portfolio? Have you built and delivered AI/ML systems that directly impacted business outcomes? Are you ready to work with board-level leaders to define how AI transforms financial services? A specialist private equity firm is hiring a Principal … portfolio companies and internal teams Lead technical diligence on AI-readiness and opportunities during deal evaluation Build and deploy reusable LLM/AI/ML systems (agents, copilots, etc.) to unlock value Define governance frameworks across risk, explainability, audit, and compliance Own internal AI transformation—deploying tools, platforms, and training ...

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 … system for millions of users. Build convenient CI/CD processes and testing pipelines to support quick iterative development and system stability. Work on ML model development with our team to build robust data pipelines and deploy ML models. Analyse large corpora of data and build real-time recommendation systems. ...

ML Platform Engineering Manager – AI Infrastructure 📍 Central London (3 days on-site) | 🕒 Full-time We’re an AI-first tech company based in Central London, creating tools that help people and brands make amazing visual content. Our apps are powered by cutting-edge AI, and we’re growing fast. … looking for an ML Platform Engineering Manager to lead the team that builds the systems running our AI models. If you enjoy solving big technical problems and want to help bring AI research to millions of users, we’d love to hear from you. What You’ll Do Lead ...

data, AI, cloud, and digital solutions. They are committed to providing a platform for talented technologists to accelerate their careers through diverse projects, continuous learning, and robust support from senior consultants. If you are driven by curiosity and a desire to make a real impact, this is an excellent … building end-to-end data pipelines for ingestion, transformation, and loading, setting up efficient data lakes and warehouses, and collaborating closely with analysts, ML engineers, and platform teams. The ideal candidate enjoys solving complex problems, thinking critically, and is eager to experiment with the latest tools and ideas. The role ...

secure coding standards. Collaborate with the Head of AI and Technology to align development priorities with business objectives. Foster a culture of collaboration, continuous learning, and high performance within the team. Troubleshoot and resolve complex technical issues, ensuring platform reliability and uptime. Required Skills & Qualifications: 8+ years of commercial … design. Hands-on experience with AWS platform. Excellent communication skills, capable of motivating and aligning technical teams. Experience with AI tools, APIs, or ML pipelines is highly desirable. Bonus: Exposure to startup environments. Benefits: Hybrid working model (minimum 3 days a week in office) 25 days annual leave plus bank ...

breakthrough modelling into robust, production-grade systems. Oversee the integrity and governance of models trusted by highly regulated, global clients. Drive innovation through advanced ML, GenAI, and statistical techniques, amplifying physics-based models with modern intelligence. You: A strategic and technical leader who thrives where complexity meets velocity. … 20+) within a fast-paced environment, and know how to channel deep science into commercial success. You’ll likely bring: Experience in applied ML/AI, predictive analytics, or statistical/numerical modelling. A background in turning research outputs into scalable product capability. Outstanding communication skills - translating technical depth into ...

Microsoft best practices and KPMG’s MBS vision. Collaborating with AI, Application, and Data Engineering teams to design AI-augmented data solutions leveraging Azure ML, AI Foundry, or OpenAI on Azure. Contributing to the Microsoft Partner ecosystem by staying current on new releases, patterns, and certifications across the Microsoft Data … analytics integrate with Dynamics 365 (F&O and CE), Power Platform, and Copilot Studio. Exposure to AI technologies in the Microsoft ecosystem (e.g., Azure ML, AI Foundry, Copilot 365, OpenAI Service). Desirable: Working understanding of Azure Data Factory, Azure Databricks and Azure Data Lake. Familiarity with Microsoft Purview. Proven ...

Technology Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Engineering, ML, Azure, Remote with Travel Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States … guide product improvements and communicate results to stakeholders. Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures. Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership. Collaboration ...

.NET Developer, C# 14 - Financial Consultancy - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS ...