1 to 25 of 102 Machine Learning Jobs in Central London

move beyond experimentation and into real-world production environments. The Role As a Machine Learning Engineer, you will work across the full ML lifecycle, from designing and developing models through to deploying, scaling and continuously improving production systems. Depending on seniority, you will also have the opportunity … Develop and deploy production-grade Machine Learning solutions , building scalable AI systems that solve complex real-world challenges. Design end-to-end ML architectures , including model development, MLOps pipelines, deployment strategies and continuous optimisation. Collaborate with engineering, data and product teams to deliver robust, production-ready AI solutions ...

About the Job ML Research PhD Expert Location: Remote Engagement Type: Hourly Contract Compensation: $60–$100/hour About the Opportunity This opportunity is for accomplished Machine Learning Researchers with publications at top-tier AI conferences including ICML, NeurIPS, and ICLR . You will contribute to advanced … learning, and problem-solving capabilities of next-generation AI systems. The role is focused on researchers with a strong track record of original ML contributions and algorithmic innovation rather than purely applied analytics work. Ideal Qualifications • PhD in Machine Learning, Artificial Intelligence, Computer Science, or a closely ...

build scalable, secure AI systems. What You'll Be Doing Design, develop, and deploy machine learning models for traditional ML use cases, including forecasting, classification, and anomaly detection. Build and deliver Generative AI and LLM-powered applications using modern AI frameworks. Lead experimentation cycles, defining hypotheses, running evaluations … iterating on models before production deployment. Develop robust ML pipelines using AWS services and MLOps tooling. Implement experiment tracking, model versioning, monitoring, and reproducibility best practices. Build feature engineering pipelines and contribute to feature store development. Monitor production models, optimise performance, and drive continuous improvements. Apply Responsible AI principles, including ...

staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for a motivated and detail-oriented Machine Learning Intern with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in our London … office. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify ...

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 ...

Applied Scientist (AI & Machine Learning) City, London (Hybrid - 3 days per week) £90,000 - 120,000, 15 - 20% bonus target We're looking for an experienced Applied Scientist to help shape the future of AI within a leading global insurance organisation. This is an opportunity to solve complex … business challenges using cutting-edge AI, machine learning, and large language models while setting technical standards for a high-performing data science team. You'll play a hands-on leadership role, partnering with engineering and business stakeholders to design, build, and deploy AI solutions that deliver measurable business ...

and deep learning, acting as a critical bridge between theory and implementation: designing, building, and scaling the complex systems on which our ML research depends. You'll be joining a team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise … culture that embraces modern ML tooling, including agentic workflows. Key responsibilities include implementing and optimising large neural network models; building robust infrastructure for distributed training, evaluation, and inference; and partnering with ML Scientists to take research from prototype to production-grade systems applied to large, multi-modal biological data, tested ...

annum, 15 - 20% bonus target We're looking for an experienced Data Science & AI Delivery Lead to lead the delivery of enterprise AI and machine learning solutions within a global insurance organisation. This is a hands-on technical leadership role, ideal for someone who enjoys combining software engineering … delivery leadership. You'll help shape the technical direction of a growing AI function while leading the successful delivery of innovative solutions using machine learning, generative AI, and cloud technologies. What you'll do Lead the end-to-end delivery of AI, machine learning, and advanced ...

analytics function is seeking a Data Scientist to join its central Data & AI team. This is an opportunity to help shape the organisation's machine learning and predictive analytics capability, using large-scale operational datasets to deliver actionable insights that support better decision-making. Working closely with technical … business stakeholders, you will develop advanced analytical solutions that identify future risks, opportunities, and outcomes. Key Responsibilities Develop predictive and prescriptive models using machine learning and statistical techniques. Analyse large and complex datasets to identify patterns, trends, risks, and performance opportunities. Work with stakeholders to define business problems ...

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 ...

joining a team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise. We embrace modern ML tooling, including agentic workflows, to accelerate the pace of research iteration. This is an opportunity to push the boundaries of what generative modelling can achieve in complex … fidelity, and utility in guiding real-world interventions. Communicate findings clearly to colleagues and stakeholders from different disciplines. Professionally, you will have PhD in ML, statistics, computer science, or a related quantitative field. Deep expertise in generative modelling. Strong foundations in probabilistic modelling, representation learning, or neural network architectures ...

impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question … experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies ...

setting technical direction for advanced analytics, machine learning, experimentation and responsible AI. You will design and deliver end-to-end analytical and ML solutions, including forecasting, causal analysis, A/B testing, model development, LLM evaluation and monitoring, and reusable data science assets. Working closely with data platform … Pandas, scikit-learn and NumPy. Strong programming skills in SQL or Spark SQL Experience in Natural language processing and working and developing LLMs Full ML model lifecycle experience Relevant experience with Power BI or similar tools such as Tableau or Qlik for data storytelling, data visualisation and reporting Strong numeracy ...

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 ...

will be designing and building AI-enabled software systems that support complex operational environments. The role will involve developing scalable backend services, integrating machine learning models into production systems, and contributing to the architecture of secure, cloud-native platforms. This is a hands-on engineering role suited … NEED THE AI SOFTWARE ENGINEER TO HAVE. Active UKSV DV clearance Strong software engineering background with Python Experience building and deploying AI/machine learning applications Knowledge of LLMs, NLP, or generative AI frameworks Experience with AWS or Azure Familiarity with Docker and Kubernetes Experience working in secure ...

part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions. This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with … data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks, Snowflake, AWS and GCP. Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver end-to-end solutions. Provide technical leadership throughout the project lifecycle. ...

clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version … processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks ...

hiring in Miami, London and Milan. Description -- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets. -- Required: experience training ML models end to end (from … data processing to fine tuning), experience training across transformers/generative models/RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions/industry experiences. -- Positives but not requirement: PhD. Reference: AMC/AHU/NW/SPH001 ...

Research Scientist/Engineer - Agent Systems & Reinforcement Learning Location: London Salary: £(phone number removed) per annum + permanent benefits + bonus Job Type: Permanent, Full-Time, On-site About the Opportunity We are partnering with a leading AI research organisation focused on developing sustainable, generalisable and evolvable Agent systems … execution. This is an exceptional opportunity to join a world-class research environment working at the intersection of Agents, Large Language Models, Reinforcement Learning and Autonomous Systems , contributing to cutting-edge research that could play a significant role in advancing the path towards Artificial General Intelligence (AGI). ...

means more to make an impact that matters through challenging projects which demand ambitious innovation and thought leadership. Develop cutting-edge AI and machine learning solutions that drive business impact at scale. Work at the intersection of data science, engineering, and commercial strategy to shape intelligent decision-making. … Lead innovation through Generative AI, advanced analytics, and modern machine learning technologies. The Role As a Google AI Forward Deployed Engineer , you will function as an embedded builder-consultant within customer accounts, translating AI strategy into production-ready solutions. You will work directly within customer environments to architect ...

proposals and helping secure new business opportunities. Experience designing and delivering AI solutions within complex enterprise environments. Strong knowledge of Artificial Intelligence technologies, including Machine Learning, Generative AI, AI Agents, AWS AI and Azure AI. Experience developing AI-enhanced digital assistant solutions such as Microsoft Copilot. Practical experience … with Retrieval-Augmented Generation (RAG) architectures and Machine Learning Operations (MLOps). Strong stakeholder engagement skills, with the ability to communicate technical solutions clearly to both technical and non-technical audiences. It would be great if you had: Experience working across multi-cloud environments, including AWS, Azure ...

enabled transformation initiatives, which could include Generative AI, internal AI assistants, customer-facing conversational AI, intelligent document processing, workflow automation, knowledge-management solutions and machine-learning capabilities. Key responsibilities will include: Leading AI and automation projects from initial business case and planning through design, build, testing, implementation … Manager with a strong track record of delivering complex technology change, ideally within banking or regulated financial services. You should have: Experience delivering AI, Machine Learning, intelligent automation or advanced analytics initiatives. Strong end-to-end technology project delivery experience. Experience working within regulated financial services environments. Experience ...

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount … growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over ...