1 to 25 of 124 Machine Learning Jobs in the City of London

Learning Engineer to join a world-leading AI technology company developing cutting-edge software solutions. This is an ideal opportunity for an ML Engineer who has a strong academic background and experience working with LLM technologies. You will work alongside Software Engineers, Machine Learning specialists … Learning Engineer/Machine Learning Engineer/AI Engineer/Applied AI Engineer/Generative AI Engineer/LLM Engineer/ML Software Engineer/AI Software Engineer/Machine Learning Software Engineer/ML Infrastructure Engineer/Model Deployment Engineer/AI Integration Engineer ...

seeking a Principal Research Scientist to help define and accelerate our long‐term machine learning research agenda. Prior finance experience is not required. The Role This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine … learning community. Responsibilities Shape the long‐term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof‐of‐concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research ...

This is a role for someone who wants to build category-defining technology rather than incremental improvements. Why This Role Stands Out Most senior ML opportunities offer scale. Few offer ownership. Here, you'll have the opportunity to: Define the machine learning architecture that powers the entire product. … visible impact, opportunities like this are rare. What You'll Own You will lead the design, development, and operation of the company's core ML systems, including: Machine Learning Infrastructure End-to-end training pipelines Evaluation and benchmarking frameworks Production inference architecture Monitoring, observability, and performance systems Deployment ...

want practical exposure to AI-driven business solutions. This expert-led programme will help you understand how organisations evaluate, test, and improve AI/ML systems through AI assurance, data quality analysis, model risk evaluation, and real-world case studies. What You'll Learn ✔ AI & Machine Learning Fundamentals … reliability perspective ✅ Design AI testing and assurance strategies ✅ Identify situations where AI recommendations can or cannot be trusted ✅ Complete a real-world AI/ML case study and create an interview-ready portfolio project Who Should Apply? Recent graduates in Computer Science, Data Science, AI, Machine Learning ...

Data Scientist (AI & Machine Learning) – Renewable Energy & Emerging Technologies London/Hybrid About the Role We're looking for an AI-focused Data Scientist to join our Engineering & Development team, helping transform how renewable energy projects are identified, evaluated and developed. You'll work at the intersection … artificial intelligence, machine learning, geospatial analytics and energy infrastructure , building intelligent models and AI-powered tools that support investment decisions across large-scale Solar PV and Battery Energy Storage System (BESS) projects. This role goes far beyond reporting and analytics. You'll design predictive models, automate complex engineering ...

Highly competitive base salary + performance-linked bonus structure Overview We are currently partnering with a premier systematic investment firm to identify an exceptional Machine Learning Quantitative Researcher. In this role, you will join a specialized research team dedicated to developing next-generation quantitative trading strategies. This position … opportunity to leverage extensive computational resources and robust data infrastructure to focus exclusively on greenfield research. You will be tasked with applying advanced machine learning methodologies to complex, unstructured datasets to identify and capture new sources of alpha in global financial markets. Key Responsibilities Design, develop, and deploy ...

will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML … systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability. Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments. Create and maintain feature pipelines, feature stores, and model stores. Develop frameworks to enable scalable ...

+ Bonus + Excellent Benefits We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform enterprise reporting, analytics … Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full ...

Research Engineer to join a collaborative team where cutting-edge ideas become practical solutions. As a Research Engineer, you'll work on advanced machine learning technologies including large language models, reinforcement learning, optimisation, and generative AI, helping shape future semiconductor design and AI systems. … Mathematics, or a related discipline Experience with Large Language Models (LLMs), Reinforcement Learning, optimisation techniques, or generative AI. Experience developing research infrastructure or ML tooling. Knowledge of distributed training, GPU computing, or CUDA. Exposure to semiconductor technologies, chip design, or applied AI research. Commercial or research experience implementing machine ...

fulfil your potential with meaningful careers. ROLE SUMMARY We are seeking an experienced Data Scientist to help develop and deploy enterprise-scale AI and machine learning solutions that improve operational efficiency, service resilience and customer outcomes. You will work closely with software engineers, SREs, product managers, platform teams … expertise with commercial awareness and the ability to translate complex data into actionable insights and measurable business value. WHAT YOU'LL BE DOING AI & Machine Learning Solutions Design, build and deploy machine learning models to solve operational and business challenges. Develop predictive analytics capabilities focused ...

drive the next generation of data-driven decision making across our products, platforms and customer experiences. This role combines advanced analytics, experimentation, machine learning, optimisation, and strategic leadership to solve complex business problems at scale. As a Principal Data Scientist, you will shape product strategy, influence executive decision … behaviour, product performance and business impact. Lead complex experimentation programs, including A/B testing, causal inference, uplift modelling and quasi-experimental methods. Develop machine learning, optimisation and decision science solutions that improve customer experience and operational efficiency. Translate ambiguous business challenges into structured analytical problems and actionable ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

Machine Learning Scientist | AI for Energy | Hybrid We're working with an innovative AI company that's transforming the energy sector through cutting-edge machine learning and advanced modelling techniques. If you're passionate about solving complex real-world problems and enjoy working with large-scale … data, we'd love to hear from you. You'll be working with: Time series forecasting and analysis Digital twins Surrogate modelling Deep learning models Real-world energy datasets to optimise performance and decision-making We're looking for someone with: Strong experience in Machine Learning ...

quality measurement Embeddings, reranking, and retrieval orchestration Evaluation datasets, benchmarking, and annotation workflows Advanced programming skills in Python. Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack). Experience working with large-scale datasets, distributed data/ML platforms, and production AI systems. … assistants. Familiarity with scientific, biomedical, or scholarly datasets and workflows. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems, MLOps, and AI governance practices. Publications or applied research contributions in NLP, IR, search, recommendation systems, or generative AI. Experience building AI systems in high-trust ...

questions are complex, the data is challenging and the outcomes genuinely matter. You'll work alongside experts from a range of disciplines, using machine learning, AI and advanced analytics to solve problems that have real-world impact. You'll be trusted to explore, experiment and develop practical solutions … science solutions, combining analytical thinking with strong engineering principles to build models that can be relied upon in production. Your work could involve: Developing machine learning models that solve complex operational challenges. Working with structured, unstructured and streaming data to uncover meaningful insights. Designing scalable data pipelines ...

production fraud detection models. Working within our Fraud Intelligence team, you'll analyse large-scale datasets, identify new behavioural signals and optimise machine learning models to improve fraud detection accuracy while reducing false positives. This is a highly practical role suited to someone who enjoys working with complex … data and delivering measurable improvements to live production models. You'll work closely with Machine Learning Engineers and Product teams to continually enhance the intelligence powering our fraud prevention platform. Responsibilities Analyse large-scale fraud and transaction datasets. Engineer new features to improve fraud detection performance. Optimise production ...

Group Functions, Retail and Investment Banking. On behalf of this organisation, AMS are looking for a Business/Data Analyst with strong experience in machine learning system implementation, for a 6 month contract (with potential for extension) based in the London office (hybrid model, 2 days a week … Business/Data Analyst will support the implementation of our client's transaction monitoring system from a legacy rules-based environment to a Machine Learning-driven AML platform. This role sits within the Product team and will play a key role in defining requirements, supporting model development ...

Senior Machine Learning Engineer Department: Data & AI Employment Type: Permanent - Full Time Location: UK - London Description Insurance isn't the first industry most engineers think of when they imagine cutting-edge AI work. That's exactly why this role is interesting. CFC's Data & AI unit is building … driven architectures. Confidence leading system design discussions and making pragmatic architectural trade-offs. Strong cloud experience, ideally within Azure. Experience deploying, monitoring and maintaining ML or LLM models in production. Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management. Hands-on experience orchestrating LLM workflows using frameworks such as LangChain. ...

applied NLP Strong hands-on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM-based systems Evaluation methodologies for ML/IR/GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with … Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications Batchelor's, Masters, PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large-scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies ...

realities of an AM/FS operating environment. This position is designed for a senior practitioner who proactively identifies opportunities where analytics, machine learning, and data capabilities can materially improve decision-making within Asset Management. The role emphasizes problem framing in complex, ambiguous situations, and applying analytical techniques … business solutions and recommendations. Ability to work effectively in a collaborative team environment. If you also had this, it would be great... Familiarity with ML Ops practices and tools for model deployment and monitoring. Familiarity with Gen AI capabilities, Observability, Gen AI type - Q/A, text summarization and text ...

time fraud detection platform to craft solutions for our enterprise customers . About the rol e: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased … machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring sys temsProven ability to create polished presentations and effectively communicate insights to customers with attention to de tailHave extensive multi-tasking and prioritisation skills. ...

high bar of technical excellence, takes ownership of both data systems and data quality outcomes, and uses modern technologies including AI and machine learning to enhance data workflows and extract additional value from our datasets. We'll trust you to: Build and maintain highly scalable, resilient and observable … needs into engineering‐ready requirements and scalable technical solutions. Partner with Engineering on platform evolution, architecture, tooling, system design, and reliability. Apply automation, AI, machine learning, or statistical techniques to improve ingestion, enrichment, validation, and monitoring. Own data migrations, workflow redesigns, and technical transformation initiatives. Establish standard methodologies ...

senior technical guide to ensure pay models are rigorous, auditable, mathematically consistent, and free from unintended bias. MLE Collaboration: Partner closely with Machine Learning Engineers to ensure smooth, robust deployment and scaling of production-ready models. Causal Experimentation: Lead the design and execution of complex marketplace experiments … leadership and people management, with a demonstrated ability to mentor, guide, and develop Data Scientists. Prior hands‐on experience developing, deploying, and maintaining machine learning models in a corporate environment. Advanced conceptual proficiency in data science and machine learning methodologies, ideally with experience in logistics, geospatial ...

working across the full lifecycle from data exploration through to model development validation plus deployment support. Responsibilities for the Data Scientist: Develop statistical models machine learning solutions analytical frameworks to address complex business problems Explore large structured semi-structured datasets to identify patterns trends predictive signals Build test … Data Scientist: Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similar Solid grounding in statistics probability machine learning techniques Proven experience working within cloud environments such as AWS Azure or GCP Experience working with SQL large analytical datasets Ability ...