1 to 25 of 193 Machine Learning Jobs in the City of London

access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely … Have strong experience in machine learning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machine learning theory. Have strong coding skills in Python and PyTorch. Care about building fair and cutting-edge machine ...

rely on advanced machine learning models trained on billions of financial transactions. As we scale, we are investing in strengthening our core ML capabilities — starting with a critical initiative: improving and scaling our transaction categorisation models, which underpin our credit risk, affordability, and behavioural analytics systems. The Role … looking for a hands-on Machine Learning Engineer with 2–4 years of experience to join our growing ML team. Your first major focus will be transaction categorisation: designing, training, and optimising classification models that accurately label and structure raw banking transaction data. This work directly impacts affordability ...

applied artificial intelligence, solving complex real-world problems in national security and defence environments. The Role You will design, develop and deploy advanced ML models within secure environments, contributing across the full lifecycle from research through to production. Projects may include: Computer vision and pattern recognition systems Synthetic data generation … modelling Deep neural networks (DNNs) for real-world defence applications Simulation and AI-driven modelling environments Advanced research-led ML solutions You will collaborate with research scientists, software engineers and domain experts to translate cutting-edge techniques into deployable capability. Key Skills & Experience Proven experience working within the UK defence ...

Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career in AI/ML, work on meaningful projects, and thrive in a supportive, collaborative environment. What Youll Do: Design, develop, and deploy machine learning models using modern … stakeholders to turn ideas into impactful solutions. Optimize and deploy models with tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate ML solutions into production environments. Monitor and improve model ...

machine learning models in production. Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products. Supporting the full ML lifecycle, from experimentation to deployment and optimisation. Applying best practices in data engineering and contributing to architectural decisions. Using modern MLOps tools and CI/… knowledge-sharing and continuous improvement. Technical Experience Were looking for experience in many of the following areas: Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM ...

fast and accurate results • Designing and implementing agentic AI workflows powered by LLMs • Building and maintaining scalable data pipelines • Leading technical decision-making across ML and NLP projects Requirements • 8+ years of commercial engineering and/or data science experience • Experience in technical leadership or leading ML initiatives • Strong Python … programming skills • Commercial experience with machine learning • Experience working in Natural Language Processing (NLP) • Experience training ML models using TensorFlow and/or PyTorch • Experience with search databases (e.g. Elasticsearch, OpenSearch) • Experience with cloud platforms (e.g. AWS) • Willingness to work 3 days per week onsite in London Benefits ...

solutions. Key Responsibilities: Design, build and deploy machine learning and AI solutions for enterprise clients Develop models using Python, PyTorch and modern ML frameworks Work with large datasets to train, evaluate and optimise models Implement and scale solutions on AWS (SageMaker, Bedrock, Lambda, etc.) Contribute to generative … Data Science roles Strong Python programming skills Hands-on experience with PyTorch Experience with Hugging Face transformers or similar frameworks Solid experience deploying ML solutions on AWS Understanding of MLOps, model deployment and performance optimisation Ability to work in a consultancy environment with multiple clients Desirable: Experience with LLMs ...

Programmes We are supporting a specialist AI organisation delivering advanced machine learning capability into the defence sector. They require a Contract ML Engineer to support ongoing high-priority programmes. This is an outside IR35 engagement at £550 per day, suited to an experienced contractor who can operate independently … within secure environments. The Role You will work on the development and optimisation of advanced ML models, contributing to applied AI solutions across defence and national security projects. Key responsibilities include: Designing and implementing deep learning models Developing computer vision and pattern recognition systems Building and refining synthetic data ...

Senior Machine Learning Engineer — Ranking & Recommendations Tech Stack: Python, GCP, BigQuery, dbt, modern ML frameworks, LLMs, embeddings, RAG Salary: £110,000 – £130,000 + options scheme Contract: Permanent, full-time Location: London, 3 days per week Sponsorship: Tier 2 sponsorship available We're looking for a Senior Machine Learning Engineer to be the first dedicated ML hire. You'll work alongside the Data Engineering team to design, build, and own the recommendations infrastructure from the ground up, while helping define the long-term ML strategy - establishing best practices for model development, experimentation, evaluation, and monitoring. ...

with large, complex datasets to support AI-driven products and insights 🧠 Assist with feature engineering, model experimentation, and performance optimisation ☁️ Contribute to data and ML pipelines in cloud-based environments 🗄 Work with structured and semi-structured data using SQL 🚀 Support the deployment and monitoring of models in production environments 🤝 Collaborate … years of experience in AI, machine learning, or software/data engineering (including internships, placements, or academic projects) 🐍 Strong Python skills for ML and data processing 🗄 Experience working with SQL and structured datasets ☁️ Familiarity with cloud platforms and modern data stacks 🧠 A solid understanding of machine learning ...

Machine Learning Engineer | Early Stage Deep Tech Start Up | London I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence … private equity, venture capital, and private credit teams. They are hiring a Founding Machine Learning Engineer to join at early stage, with real ownership over both the core technology and the product direction. This role suits someone with a strong academic background from a leading university , alongside clear ...

client is looking for an experienced ML Infrastructure Engineer to support the deployment, optimisation and scaling of advanced machine learning models in production environments. This role sits at the intersection of research and engineering, focused on ensuring models are reliably transitioned from experimentation through to large-scale deployment. … improve deployment efficiency and platform scalability Evaluate and integrate third-party infrastructure and inference tooling where appropriate Requirements Proven experience deploying and maintaining ML inference systems in production environments Strong programming experience in Python and familiarity with modern machine learning frameworks Experience working with containerisation and orchestration technologies ...

Office. Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Deep Expertise in Machine Learning, Data Science & Technical Tooling Strategic Project Leadership & Business Impact Delivery High Level Stakeholder Engagement & Communication What this role is all about: Vitality … ensuring all models meet safety, regulatory and ethical requirements Collaborate with engineering teams to scale AI platforms and infrastructure. Deploying models using modern ML practices and contributing to shared tools such as feature stores, pipelines, and monitoring systems What do you need to thrive? Undergraduate degree in statistical subject Considerable ...

your family again! Design reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI Strategy and the delivery of LLM based solutions. Operate across … production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards ...

Large Language Models and are now building agentic AI workflows that can autonomously answer complex research questions. They're looking for a Staff ML Engineer to help scale their NLP and search capabilities . What you'll be doing • Improving search quality (precision & recall) across large datasets • Designing LLM-powered … workflows and agentic systems • Building ML models and NLP pipelines for production use • Working with large-scale search infrastructure (Elasticsearch/OpenSearch) • Collaborating with engineers and data scientists to evolve the ML platform This is a hands-on engineering role with significant impact on the product and ML direction. What ...

Machine Learning Engineer Location: Erskine, Scotland - Hybrid Candidates must be eligible for clearance Were looking for a talented and motivated Machine … Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career in AI/ML, work on meaningful projects, and thrive in a supportive, collaborative environment click apply for full job details ...

office in a week) Employment Type: FTE (Full Time Employment) or B2B We are looking for an AI Engineer with experience building AI/ML solutions in fintech or financial services environments. The role will focus on designing and implementing agentic AI workflows and LLM-driven solutions that enhance banking … Experience with transformer architectures and sequence modelling. Familiarity with LangChain, RAG (Retrieval Augmented Generation) and LLM application frameworks. · Experience using PyTorch, TensorFlow or similar ML frameworks. Ability to design and implement AI workflows and AI-powered automation systems. AI Engineering/Platform Experience integrating AI solutions with enterprise systems ...

technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines … processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers ...

advances in systems and apply their ideas at an unprecedented scale. Responsibilities Carry out cutting-edge research to advance the science and technology of machine learning systems. Design methods, tools, and infrastructure to push forward the state of the art in large language models. Collaborate with researchers … technical field, or equivalent practical experience Preferred Qualifications Direct experience in generative AI and LLM research PhD degree or research focused Master degree in ML areas ...

chelsea.hackett@searchability.com WHO ARE WE? Due to continued growth, we’re supporting an established AI-driven technology organisation that builds scalable data and machine learning platforms for enterprise clients. The business focuses on transforming complex first-party data into production-ready decision intelligence tools, embedding AI into daily … metadata-driven frameworks that enable repeatable, production-ready outputs. The role also involves CI/CD automation, environment governance, and supporting the integration of machine learning outputs into live production systems. You’ll collaborate closely with Data Scientists and AI Engineers to ensure models are robust, monitored ...

backed by leading healthcare and AI investors like Khosla Ventures, Village Global, Headline, Eric Yuan (CEO of Zoom), and others. Position Overview As an ML Ops Engineer at Circadia Health , you will own the infrastructure and operational lifecycle of the machine learning systems that power our clinical monitoring … platform. You will build and maintain the production ML pipelines, deployment infrastructure, and monitoring systems that enable Circadia's predictive models to identify early signs of clinical deterioration. Reporting to the Principal ML Engineer, you will work across ML, backend, data, and clinical teams to ensure models are reliably trained ...

company works with large-scale datasets across industries and focuses on delivering high-quality data annotation, curation, and analytics services that enable advanced machine learning and generative AI applications. About the Role The Music Annotator will support AI training initiatives by evaluating and describing musical audio with … instrumentation, sonic textures, and overall mood. Working remotely, the analyst will annotate audio at scale while maintaining strict quality and metadata standards required for machine learning datasets. This position requires strong listening skills, the ability to articulate musical elements clearly in writing, and the discipline to work efficiently ...

fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving … forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across ...

Lead ML Engineer - Onsite 4 days a week - London. Can offer sponsorship from any continent location Europe, Russia, USA, etc An Edtech Start-up in London are building something transformative in the education space using cutting-edge machine learning. We're looking for a Lead ML Engineer to take … machine learning strategy, build out the team, and help shape the future of AI in education. Responsibilities: Build and lead a new ML team from the ground up. Define the tech stack for data pipelines and ML models. Develop generative models using diverse datasets (text, audio, video, test ...

integrating advanced machine learning directly into their products to outsmart attackers at scale. The Role We are seeking a Senior AI & ML Engineer with a strong foundation in machine learning fundamentals and hands-on experience with modern generative AI and Large Language Models (LLMs). … will work on cutting-edge AI functionality across a flagship cybersecurity platform, building scalable, performant systems that harness the power of data, ML models, and infrastructure. Key Responsibilities: Design, develop, and deploy production-grade ML/AI features — from data prep and model training to inference APIs and monitoring. Integrate ...