76 to 100 of 286 Machine Learning Jobs in the City of London

Signal Discovery: Analyse historical and real-time market data to identify patterns, new trading opportunities, and potential alpha signals. Quantitative Analysis: Apply statistical methods, machine learning, and time-series analysis to generate actionable insights and support data-driven decision-making. Collaboration: Work closely with other researchers, technologists … Java; familiarity with KDB+ (Q) is advantageous. Experience with large-scale market data and statistical modelling is key. Quantitative Expertise: Knowledge of statistical methods, machine learning, model calibration, optimisation, and risk management techniques. Education: Advanced degrees (Master’s or PhD) in Mathematics, Statistics, Physics, Computer Science, Engineering ...

manage geospatial datasets from diverse sources Perform spatial analysis, spatial statistics, and geoprocessing to support strategic and operational projects. Develop predictive models and machine-learning workflows using spatial and non-spatial data. Build and maintain spatial databases, data pipelines, and automated ETL processes. Create high-quality maps, dashboards …/OGR, Shapely, Rasterio). Proficiency in Python and/or R for data science and automation. Solid grounding in statistics, spatial analysis, and machine-learning methodologies. Experience with spatial databases (PostGIS, BigQuery GIS, SQL Server Spatial). Ability to communicate complex spatial insights clearly to diverse audiences. ...

elite technical and scientific talent. What you’ll do: Own the end-to-end recruiting process for high-priority technical roles, ranging from Machine Learning Engineers and Research Scientists to Computational Chemists and Lab Automation Specialists. Develop creative sourcing strategies to identify and engage passive talent from … possess a strong track record of hiring for complex technical profiles. You effectively understand the nuances between different engineering and research disciplines (e.g. Machine Learning, MLOps, Software Engineering, etc.) and can credibly screen candidates for different types of roles based on technical requirements. Ideally, you have experience recruiting ...

LLaMA, DeepSeek, etc.). Agent-based architectures , RAG , prompt engineering , chatbots , classification , summarization , speech-to-text , image understanding. Cloud platforms (AWS, Azure, GCP). ML Ops tools and deployment workflows. AI-assisted development tools (e.g., GitHub Copilot, Tabnine). Familiarity with data platforms like Dataiku, Databricks. Strong software engineering fundamentals … Science, Engineering, or a related discipline with a strong technical portfolio in AI/ML. Demonstrated hands-on experience developing and deploying AI/ML solutions. Strong applied AI skills (through academic projects, internships, or personal contributions) Technical depth and hands-on proficiency. A problem-solving mindset and ability ...

ML & Cloud Infrastructure Engineer Up to £180,000 London (Hybrid, 3/4/5 days onsite per week) Company: Early stage start up building the world’s first 3D Foundation Model, enabling generative capabilities in fully dynamic 3D environments, with motion, physics, and spatial reasoning built-in. Their mission … from robotics and AR/VR to gaming and movies, generate and interact with 3D content. Responsibilities: Develop high-performance, cloud-based systems for ML training and API serving Manage and optimize infrastructure on AWS, GCP, or Azure; support local and distributed ML workflows Configure servers, monitor performance, and optimize ...

applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions. They … looking for an ML Research Scientist who: Has a strong grounding in modern ML (generative models, representation learning, geometric deep learning, etc.) Has worked with biological or molecular data in some form... proteins, molecules, structure, interfaces Can work closely with chemists and biologists, and actually make the models ...

Enterprise Account Executive – Benelux/Europe Location: London, United Kingdom Language: English WFH Policy: Hybrid, with flexibility for Enterprise roles Industry: EdTech/Digital Learning Product: Enterprise learning platform focused on Data, AI and Machine Learning skills Team Size: 500+ globally, supported by dedicated BDR, Product … Solutions Architecture functions Company Overview This organisation supports global enterprises in developing data and AI fluency at scale. Their platform enables hands-on learning for both technical and non-technical teams, serving millions of users worldwide. With strong traction in the enterprise segment and a rapidly expanding B2B business ...

research, staging, and production environments. Design and implement model registries, versioning systems, and experiment tracking to ensure full reproducibility of all model releases. Deploy ML workflows using tools like Airflow or similar, managing dependencies from data ingestion through model deployment and serving. Instrument comprehensive monitoring for model performance, data drift … tooling and abstractions that make it easy for Research Engineers to deploy models reliably without needing deep infrastructure knowledge. Ensure compliance, governance of all ML processes and workflows. What We Look For Experience building and operating ML infrastructure, ideally in production environments serving real users. Strong proficiency in containerisation (Docker ...

enhance CRM strategies • Provide data-driven recommendations to improve customer engagement metrics Skills ● Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ● Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ● Experience with ML ...

enhance CRM strategies Provide data-driven recommendations to improve customer engagement metrics Skills ? Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ? Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ? Experience with ML ...

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 … knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 Build fundamental models for education - solving the ultimate learning ...

permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with … tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please ...

workflows. We are now expanding the Applied Science team and are looking for exceptional early-career researchers who want to work on cutting-edge ML in a fast-moving product environment. This role is ideal for candidates finishing (or recently completing) a PhD at a top university, with a research … track record at leading ML/AI conferences. As this is a role within the Applied team, candidates must be confident in their ability to move research through to production. What You’ll Work On Develop and iterate on core models for context-aware enterprise agents, including planning, retrieval, grounding ...

We are seeking exceptional individuals who are passionate about software development, large-scale data analytics, and driving AI-led innovation within organizations. Ideal candidates will demonstrate: 4+ years of experience in a technology consulting environment ...

expanding its Data & AI practice and looking for a Data Science Offering Lead to shape and build their end-to-end data science and ML capability. This role focuses on designing offerings, leading client engagements and delivering practical, production-ready ML and AI solutions that create measurable value. What … doing Leading the development of the firm’s Data Science, ML and AI offering and go-to-market strategy. Working closely with clients to understand business problems and translate them into robust data-driven solutions. Designing and overseeing ML models, AI prototypes, PoCs, MVPs and scalable production solutions. Driving standards ...

work across multiple technologies around a core, including Angular, Python, C#/.Net, SQL, AWS (EKS, S3, Lambda, CDK, etc.), Applied AI/ML libraries and frameworks. About The Role: We are hiring Software Engineers to work on modernising and enhancing a key product, LexisNexis® Classification. This product uses … 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 the employee discounts scheme via Perks at Work About Our Business - At LexisNexis Intellectual Property (LNIP), we believe that ...

work across multiple technologies around a core, including Angular, Python, C#/.Net, SQL, AWS (EKS, S3, Lambda, CDK, etc.), Applied AI/ML libraries and frameworks. About the role: We are hiring Software Engineers to work on modernising and enhancing a key product, LexisNexis® Classification. This product uses … 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 the employee discounts scheme via Perks at Work About Our Business - At LexisNexis Intellectual Property (LNIP), we believe that ...

looking for experience in the following skills: Deep technical expertise in SAP Business Technology Platform (BTP), with a strong focus on AI, Machine Learning, and Generative AI integration. Hands-on experience with SAP AI Core, Generative AI Hub, and SAP HANA Cloud Vector Engine (for Retrieval-Augmented Generation ...

Java, or C#. Proficiency with TypeScript, Node.js, and modern JavaScript frameworks for UI development. Strong hands-on experience with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch), particularly within financial workflows. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed ...

TypeScript . Proven experience architecting and scaling enterprise-grade front-end applications . Knowledge of AI technologies and hands-on experience integrating AI/ML models or APIs (e.g., OpenAI, Hugging Face, Vertex AI, Anthropic, or similar). Demonstrated ability to design and implement AI-enhanced interfaces that improve usability ...

/CD pipelines (e.g., Jenkins, GitHub Actions), and Infrastructure as Code (Terraform). Qualifications Bachelor's or Master's degree in Computer Science, AI, Machine Learning … related field. 6-8 years of professional, hands-on experience in software engineering, with a primary focus on building and deploying complex AI/ML systems into production. A proven track record of delivering scalable, reliable, and high-performance software solutions from concept to deployment. For more information ...

work across multiple technologies around a core, including Angular, Python, C#/.Net, SQL, AWS (EKS, S3, Lambda, CDK, etc.), Applied AI/ML libraries and frameworks. About The Role: We are hiring a Software Engineering Lead to take responsibility for the work on modernising and enhancing a key product … 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 the employee discounts scheme via Perks at Work About Our Business - At LexisNexis Intellectual Property (LNIP), we believe that ...

solutions. Architect and manage secure Trusted Research Environments (TREs) in line with governance and safe data principles. Provide compute solutions for bioinformatics, ML, and data-intensive workloads. Drive automation using Terraform, Azure DevOps, and CI/CD pipelines. Embed security, compliance, and observability across all cloud components. Collaborate with cross … compute, security, storage, and automation. Strong Infrastructure-as-Code skills. Experience designing and delivering modern IT/cloud architectures. Knowledge of modern data/ML platforms (e.g., Databricks, Azure ML, Synapse, MLflow, Airflow). Desirable Disaster recovery and cloud security best practices. Experience in research, life sciences, or health data ...

Strong academic background in AI/Computer Science/Machine Learning (MSc/PhD ideal) Proven experience of building production agentic AI , ML, or AI engineering systems from scratch A history of technically leading teams while staying hands-on Deep software engineering foundations: deployment, evaluation, monitoring, optimisation Familiarity ...

stack and front end engineers in our expanding innovation development team, and to drive development of an innovative new product that makes use of machine learning, natural language processing, speech recognition and text to speech synthesis to create dynamic, adaptive interactive scenarios for English learning and assessment. ...