126 to 150 of 174 Machine Learning Jobs in Central London

Our client is a pioneering technology company delivering laser communications and temporospatial software-defined networking platforms to the aerospace and space industry. Leveraging technology originally developed at a major global tech firm, they are leading ...

Data & AI evangelist - educating stakeholders on possibilities and translating technical outcomes to business value. Data specialist - shaping data science strategy, building production-ready ML models, and embedding best practice. Fixer/problem-solver - helping teams refine requirements, diagnose issues, and drive real commercial outcomes. Day-to-day you will: Translate … complex business problems into research questions with quantifiable objectives. Identify, acquire, and work with structured and unstructured datasets. Build, validate, deploy, and monitor production ML models. Partner with data engineers, ML engineers, architects, and business teams to shape ML initiatives. Present insights clearly through strong data visualisation and storytelling. Uphold ...

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 ...

sector. The role focuses on driving new business acquisition, expanding strategic accounts, and positioning technology solutions including Digital Transformation, Cloud, Data & Analytics, AI/ML, and Application Services. The ideal candidate will have a strong network within BFSI enterprises and a proven track record in consultative enterprise sales. Key Responsibilities … deals and long sales cycles. Solution Selling & Market Positioning Position technology services such as Cloud Migration, Digital Engineering, Core Modernization, Data Platforms, AI/ML, and Cybersecurity. Collaborate with pre-sales, delivery, and practice teams to create tailored BFSI solutions. Understand regulatory requirements and technology trends impacting BFSI clients. Leadership ...

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 ...

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 (with the potential to extend or go perm) . 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/ ...

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 ...

Outside IR/35 Were looking for a Data Engineer with strong MLOps ownershipsomeone who builds reliable data pipelines and designs, runs, and improves ML pipelines in production. You wont be training models day-to-day like a Data Scientist; instead, youll enable Data Science by delivering high-quality datasets … reproducible training pipelines, robust deployments, and monitoring that keeps ML systems healthy and trustworthy. What youll do Design, build, and operate scalable data pipelines for ingestion, transformation, and distribution Develop and maintain ML pipelines end-to-end: data preparation, feature generation, training orchestration, packaging, deployment, and retraining Partner closely with ...

will have hands-on experience with frameworks such as LangGraph and a strong understanding of the practical implementation and deployment of agentic AI/ML solutions. Key Responsibilities: • Design, build, and deploy agentic AI systems, leveraging modern frameworks. • Develop and maintain scalable AI workflows using LangGraph and related tools. • Collaborate … integrate AI agents into real-world applications. • Write clean, efficient, and testable Python code. • (Optional) Apply data science techniques to train and fine-tune ML or deep learning models. Required Skills: • Strong proficiency in Python and related libraries. • Experience with agentic AI architectures and autonomous AI agents. • Hands ...

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 ...

cross-functional teams to define requirements and deliver innovative tools. Ensure reliability, scalability, and performance of distributed systems handling massive datasets. Deploy and monitor ML models in production environments using Vertex AI, Docker, and Kubernetes. Required Skills & Experience Strong proficiency in Python for AI/ML workflows . Strong proficiency … . Expert-level SQL and experience with BigQuery and vector databases (Pinecone, Weaviate, Vertex AI Search). Proven track record in MLOps and deploying ML models at scale. Experience moving LLM-based prototypes into production environments with thousands of users. Background in building internal tooling, CRM enhancements, or sales-tech ...

Essential skills: 15+ years overall in software/solution architecture with 7 + years in cloud (Azure) and 5 + years in AI/ML or Azure AI solutioning. Proven experience leading production-grade solutions using Azure OpenAI , Azure AI Foundry , Azure AI Document Intelligence, Azure Data Factory, Azure ML ...

organization operating at scale in AI-driven and data-intensive environments. You’ll work on building high-performance data pipelines, supporting advanced analytics and ML-driven initiatives, and ensuring robust, scalable data infrastructure across multiple domains. What You’ll Do Design, build and maintain scalable data pipelines for large, complex … Process and integrate structured and unstructured data from multiple sources Ensure data quality, reliability, and performance end-to-end Collaborate closely with AI/ML teams to deliver production-ready datasets Support data governance, lineage, and documentation in a pragmatic, impact-focused way What You Bring Senior level Data Engineering ...

Principal Data Architect Python | Cloud | Distributed Systems | AI/ML Infrastructure Location: Glasgow or London (King’s Cross) Workstyle: Hybrid Reports to: CTO About Chemify: Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining … team. Key Responsibilities AI-Native Data Strategy Define the enterprise data architecture for scientific and operational data to ensure it is "ML-ready" from the moment of ingestion. Establish a Data Lakehouse architecture on AWS to manage the massive scale of raw, unstructured "dark data" from robotic sensors (spectra, video ...

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. ...

experimentation for generative AI, focused on correctness, faithfulness, and robustness, aligning with LLMOps practices. Demonstrable experience owning technical design and delivery of complex AI, ML, or data-driven systems in production environments. Experience operating as a senior AI engineer or technical lead, balancing experimentation with production delivery and communicating effectively ...

want to build production-grade ML systems powering the clean energy transition? Have you deployed and scaled ML models on AWS in real-world environments? Are you ready to take ownership of MLOps in a fast-growing cleantech scale-up? A rapidly scaling London-based energy tech company is building … tech, deep data capability and strong industry partnerships to accelerate the shift to sustainable transport. The Data team is now expanding to support growing ML workloads. They’re hiring an MLOps Engineer to own and scale ML infrastructure across computer vision and broader DS/ML use cases. This role ...

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 ...

through to deployment What We’re Looking For Strong experience with Python & SQL for AI and data work Hands-on experience building AI or ML-powered applications Familiarity with Google Cloud (Vertex AI, Gemini, or similar tools) Comfortable working in a high-pace, real-world environment Someone curious, pragmatic … research for research’s sake This is truly unique and will only suit a certain type of person. If you’re interested in learning more, please apply and we’ll give you a call to discuss if your experience is aligned. ...

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 ...

tools (Figma, Sketch, or similar) Some experience on backend work to better understand frontend challenges Experience designing data-dense or technical interfaces (AI/ML focus) Experience with scientific or industrial software development Portfolio demonstrating both design thinking and implementation skills Location Central London location (in-person 4 days … team of experts passionate about solving meaningful problems Benefits : Competitive salary Comprehensive healthcare package 25 days holiday plus bank holidays Regular team events and learning opportunities Application Process Submit your CV (max 2 pages) and a brief cover letter explaining your interest to careers@nexus-am.com Include links ...

Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering/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 … 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 ...

sequential prediction. Translate research innovations into robust, production-quality systems that operate at scale and influence commercial outcomes. Collaborate with cross-functional teams, from ML engineers to product leaders to integrate models into forecasting and optimisation pipelines. Conduct rigorous benchmarking and experimentation, applying best practices from academic research to real … network models applied to time series, dynamic forecasting, and complex sequential tasks. Industry experience implementing and refining forecasting systems in production. Proficiency in modern ML frameworks such as PyTorch, TensorFlow, or JAX. A track record of applying research results to real-world, high-impact problems. Highly Valued: Experience with real ...

Mentor engineers, review code, and ensure best practices in mobile engineering to elevate team performance and product quality. Safely integrate and operate AI/ML-enabled solutions that enhance user engagement and drive business outcomes. Champion continuous improvement by leveraging emerging technologies and optimising for performance, reliability, and user experience. … system design, API integration, and data modeling within the iOS ecosystem. Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products. Preferred Qualifications: Demonstrated experience architecting and optimising mobile solutions that operate reliably at global scale. Strong background in implementing AI/ ...