101 to 125 of 286 Machine Learning Jobs in the City of London

backend services that support complex modelling work. Setting standards for clean, efficient engineering across Python(FastAPI), SQL and cloud environments. Training, tuning and deploying machine learning models into production. Creating processes for robust data extraction, transformation and management. Integrating new solutions with existing systems and ensuring smooth deployment. ...

Innovate & Experiment : Explore generative AI, predictive analytics, and emerging technologies to drive measurable impact. What We’re Looking For Proven experience in AI/ML engineering , with strong Python skills and frameworks like TensorFlow, PyTorch, Hugging Face. Expertise in LLMs, prompt engineering , and AI-driven developer tools. Solid understanding ...

Qualifications Degree in Computer Science, Data Science, Finance, or related field. Strong programming skills (Python, SQL, C++, Java, etc.). Experience with AI/ML frameworks (TensorFlow, PyTorch). Minimum 4+ years in AI roles within finance or consulting. Knowledge of AI ethics, compliance, and data privacy. Excellent communication ...

research. What You Bring Required Advanced degree in AI, Computer Science, or similar (MSc/PhD). Several years of experience delivering agentic AI, ML, or AI engineering systems in production. Strong track record of leading complex technical delivery while remaining hands-on. Solid software engineering foundations : deployment, observability, monitoring ...

Digital Operational Resilience Act (DORA) ✅ ETL testing with Azure Data Factory and advanced proficiency in SQL ✅ Experienced in advanced AI/ML approaches for improving quality efficiency ✅ Senior QE/QA leadership experience within Banking or Financial Services ✅ Proven ownership of enterprise quality strategy (not just delivery) ✅ Strong experience across ...

banking, or corporate strategy SQL or Python skills for advanced data analysis Understanding of revenue recognition principles and financial modeling Experience implementing AI/ML tools for revenue optimization MBA or relevant advanced degree About Morae Global: Morae Global is a dynamic, high-growth organization who provides an integrated suite ...

Privacy Notice. Required Skills Hands-on experience with Microsoft Power Platform (Power Apps, Power Automate) and AI Builder . Strong understanding of AI/ML concepts , data modelling , and model lifecycle management . Proficiency in JavaScript , Power Fx , and integration with APIs. Familiarity with Azure Cognitive Services and Dataverse . … workflows. Monitor and optimize AI models for accuracy and performance. Nice-to-Have Experience with Python or R for advanced AI/ML scenarios. Exposure to cloud platforms (Azure AI, Azure Machine Learning). Knowledge of Power BI for analytics integration. ...

Privacy Notice. Required Skills Hands-on experience with Microsoft Power Platform (Power Apps, Power Automate) and AI Builder . Strong understanding of AI/ML concepts , data modelling , and model lifecycle management . Proficiency in JavaScript , Power Fx , and integration with APIs. Familiarity with Azure Cognitive Services and Dataverse . … workflows. Monitor and optimize AI models for accuracy and performance. Nice-to-Have Experience with Python or R for advanced AI/ML scenarios. Exposure to cloud platforms (Azure AI, Azure Machine Learning). Knowledge of Power BI for analytics integration. ...

bridge between engineering, product, and commercial. What I’m Looking For 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments. Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments … continuous delivery, and high-performing lean teams. People-first leadership style, with a proven ability to build and nurture high-performing teams. Exposure to machine learning, NLP, or financial data products is highly advantageous. Comfortable working in fast-moving, ambiguous environments where both execution and strategic vision matter. ...

craft intuitive and highly functional user interfaces. Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows. Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations. … specification and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations ...

join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams … Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands ...

diligence for financial or PE-backed clients. Strong technical grounding in cloud platforms (AWS, Azure, GCP) and modern data infrastructures. Knowledge of machine learning applications (e.g. predictive modelling, AI, analytics) and their business use cases. Expertise in data governance and compliance (GDPR, CCPA). Excellent communication and stakeholder ...

Tableau/Power BI/Looker/Qlik and modern cloud platforms (Snowflake, Databricks, Spark). Strong understanding of statistical methods, experiment design, and ML/AI concepts (preferred). Experience with call centre or digital support KPIs is a plus. Exceptional communication, stakeholder influence, and project management skills. ...

roadmap and mentor future hires About You Strong experience in LLM engineering, RAG systems, prompt orchestration, and agentic architectures Proven experience delivering ML/AI systems into production environments Excellent Python engineering and system design skills Familiarity with APIs, MLOps, and cloud deployment (AWS, GCP, or Azure) Clear communicator, comfortable ...

teams to deliver outcomes with clear business impact. Excellent communication and stakeholder engagement skills, particularly in cross-functional environments. Desirable Background in software engineering, ML engineering, or AI solution architecture. Familiarity with CI/CD, observability, and MLOps practices that support scalable GenAI deployment. Experience working in large-scale ...

client feedback to enhance product performance. Take part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science … Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based near London for occasional client visits. 📩 Interested? Message ...

business leaders on data-driven decisions. Drive improvements in client and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable … Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per week onsite in Central London. This role cannot provide visa sponsorship. ...

team. Development experience in one or more object-oriented programming languages (e.g. Python, Java). Thorough understanding of underlying mathematical foundations of statistics and machine learning. Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers ...

optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions … Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. How to Apply: Please register your interest ...

integration layer to our core AI Service Bus (Apache Kafka). Cross-functional Collaboration ? Work closely with the Scam Detection Service and AI/ML teams to define the feature vectors and data payloads needed from the network to power our proprietary machine learning models. ? Partner with product ...

cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such ...

part in developing the tools, infrastructure and analytics that drive the firm’s ESG and sustainability capabilities. Key Responsibilities: Build analytics tools and machine learning models to assess ESG and sustainability characteristics of companies Design and implement scalable, high-performance sustainability data systems and infrastructure Develop, maintain ...

tasks simultaneously. Desirable Skills Prior experience in market analysis, commercial insight, or strategy-focused analytical roles (internships welcome). Knowledge of predictive modelling or machine learning techniques. Familiarity with B2B services, technology, or related industries. Experience with cloud-based analytics platforms or big data technologies. What ...

landscape and the challenges and opportunities faced by government agencies Deep knowledge of data analytics and related technologies, including cloud computing, artificial intelligence, and machine learning Excellent communication, presentation, and negotiation skills Proven leadership ability, with a track record of building and motivating high-performing teams. ...

play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI workloads. This is more than an engineering role-it's an opportunity to influence technical direction, collaborate across diverse teams ...