1 to 25 of 134 Machine Learning Jobs in the City of London

role with a strong Machine Learning and Large Language Model (LLM) focus, ideal for a Python Engineer who has experience working with ML/LLM technologies. You will work alongside Software Engineers, Machine Learning specialists and the wider technology team to deploy, integrate and optimise innovative … with Machine Learning and Large Language Models (LLMs) this is an essential requirement for the role Experience deploying, integrating or working with ML/LLM models in practical applications Familiarity with machine learning frameworks, model deployment and inference technologies Experience using Python data and matrix manipulation ...

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 ...

passionate about designing and deploying intelligent machine learning solutions that drive business impact? Do you enjoy leading teams, building scalable ML systems, and turning complex data into innovative products and services? About the team: We are a software engineering team responsible for developing and supporting business-critical platforms … wider organisation. About the role: This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical direction on architecture ...

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 ...

convert business ambition into scalable, AI-driven products. Key Responsibilities Leadership & Team Growth: Mentor, scale, and inspire a world-class team of data and ML engineers, instilling high standards for software execution, operational excellence, and continuous growth. Technical Strategy & Architecture: Define and execute the long-term vision for enterprise data … grade data platforms and machine learning solutions that deliver tangible commercial outcomes. Technical Credibility: Strong foundational depth in modern data architecture and ML deployment, with a passion for getting into the engineering details when necessary. Executive Communication: Exceptional ability to translate complex technical concepts into clear, value-driven ...

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 ...

high-impact projects across National Security, Government and cutting-edge technology. About the Role This is a great opportunity for someone who enjoys taking ML out of the lab and into production, working across software engineering, machine learning and cloud infrastructure. Responsibilities Building and deploying production-grade ML … software, tools and infrastructure Developing scalable and reusable ML solutions Working closely with engineers, data scientists and clients Contributing to technical architecture and solution design Helping define best practices for deploying ML at scale Advising clients and translating complex ML concepts into practical solutions Qualifications Strong Python and software engineering ...

Machine Learning Engineer Senior, Lead & Principal Location: London/Hybrid Level: Senior, Lead & Principal Salary: £100,000£140,000+ Sector: AI/Machine Learning/Technology Anson McCade are partnered with a leading UK AI organisation that is expanding its Machine Learning Engineering team … looking to hire Senior, Lead and Principal Machine Learning Engineers click apply for full job details ...

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 ...

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 ...

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/ ...

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 ...

Description/n Machine Learning Engineer/n/n/n/n/n/n/n A fantastic opportunity for a Machine Learning Engineer to join a world-leading AI technology company developing cutting-edge software solutions. This is a specialist Python … role with a strong Machine Learning and Large Language Model (LLM) focus, ideal for a Python Engineer who has experience working with ML/LLM technologies./n/n/n/n/n/n/n You will work .../n/ ...

heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank of England, such … generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation of the Bank ...

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 ...

full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine-learning models or client-ready insights/tools. This is a role for someone who enjoys variety and has a critical … Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into ...

role for someone who wants their models used, not admired. You will solve complex customer and commercial problems through advanced analytics, experimentation and machine learning, working with rich customer, booking, behavioural, marketing and digital data. The problem space is broad: segmentation, propensity, personalisation, customer value, retention, forecasting … answers is genuine. What Will You Do? Lead complex data science initiatives from problem definition through modelling, validation and implementation. Build predictive and machine learning solutions across priority customer and commercial use cases. Apply advanced statistical techniques to uncover behaviour, patterns and commercial opportunity. Design rigorous experiments ...

Systematic Active Equity team in London. You will help shape the next generation of alpha by conducting cutting-edge research across financial markets, machine learning, artificial intelligence, data science and economics. Innovation is at the heart of our investment process. Working alongside experienced quantitative researchers and portfolio managers … alpha will be discovered through data, technology and creative thinking. Researchers are encouraged to challenge established approaches, experiment with new ideas , and explore emerging machine learning and AI techniques where they can enhance the investment process and create value for clients. Our open and collaborative environment provides exceptional ...

more than two billion first-party data signals. We are at an exciting inflection point. The network is in its early stages, our machine learning foundations are being established, and advertising spend is already live. This is an opportunity to build something unique, leave a lasting impact … will own this transformation from end to end. Product Philosophy Navigator's product philosophy is based on an agent-to-tools architecture comprising foundational machine learning and a curated ecosystem of AI technologies. The first layer is an AI-native media workflow and orchestration platform capable of planning ...

working with an innovative technology business that is looking to hire a Machine Learning Scientist with strong Reinforcement Learning experience to join their growing team. This is an exciting opportunity for someone who wants to work on real-world AI problems , developing models that move beyond research … models and agents Working with real-world data and telemetry Exploring reward engineering and policy optimisation Considering safety, reliability and model validation Taking ML models from simulation/research through to production Working closely with engineers and other technical teams to apply ML to real-world problems ...

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. ...

retrieval architectures (lexical, vector, hybrid) Evaluation methodologies for IR and generative AI systems Strong programming skills in Python Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph , Haystack) Experience working with Databricks or similar distributed data and machine learning platforms Understanding … ranking, recommendation, or retrieval systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies, or semantic enrichment systems Exposure to production ML systems and MLOps practices Academic or industry research experience in NLP, information retrieval, search, or generative AI Experience working in content-rich, knowledge-intensive ...

testing to guarantee system stability under high concurrent traffic. Required Skills and Qualifications Core Programming & Frameworks Language: Mastery of Python and its asynchronous ecosystem. ML Ecosystem: Deep expertise in PyTorch, Scikit-learn, and NumPy. Compilation: Experience accelerating Python code via Numba or Triton. Conversational AI Experience Speech Technologies: Hands … Infrastructure & Operations Containers: Advanced knowledge of Docker, Podman, and container orchestration. Cloud Providers: Practical experience managing AI workloads on AWS (EC2, SageMaker), Azure (Azure ML), and GCP (Vertex AI). CI/CD Tools: Experience with GitLab CI, GitHub Actions, Jenkins, or specialized MLOps platforms (e.g., Kubeflow, MLflow). Preferred ...

hackajob is partnering directly with LexisNexis to hire for this role. Machine Learning Engineering Lead … passionate about designing and deploying intelligent machine learning solutions that drive business impact? Do you enjoy leading teams, building scalable ML systems, and turning complex data into innovative products and services? About the team: We are a software engineering team responsibl click apply for full job details ...