26 to 50 of 175 Machine Learning Jobs in the City of London

Build and optimise data platforms and ETL/ELT pipelines supporting analytics and AI‐driven applications. Prepare and structure data for dashboards, reporting, and machine learning solutions. Collaborate with consultants, data scientists, and project teams to deliver reliable and scalable systems. Manage CI/CD deployments and version … Desirable: Experience with WordPress/PHP or Streamlit for rapid web applications. Familiarity with dbt , Power BI , or similar data analytics tools. Understanding of machine learning , AI integration , and vector databases . Interest in UI design or Agile project delivery. Additional language proficiency is a plus. Why Join ...

Machine Learning Engineer role sits within the deployment group, working hands-on with portfolio companies post-deal to design, build, and deploy ML solutions that improve real business outcomes. Projects are varied, impact-driven, and typically delivered over 2–6 month cycles. Key Responsibilities … ML delivery from problem definition through deployment Build and productionise models across forecasting, pricing, churn, segmentation, fraud, and NLP use cases Work closely with data engineers and cloud infrastructure to scale solutions Translate technical work into clear commercial impact for senior stakeholders Contribute to code quality, deployment standards, and best ...

technical teams understand how to use data effectively. Providing input into the future direction of advanced analytics, including the potential transition of existing machine learning models from third-party to in-house ownership (desirable exposure). This role is less about building infrastructure and more about extracting value … data platforms and modern BI stacks (e.g. AWS, Snowflake, dbt, Power BI). Awareness of machine learning concepts and experience working alongside ML practitioners or models. WHY APPLY? Play a pivotal role in taking a data function from strong foundations to real business impact. Work directly with senior ...

skills in a supportive, growth-focused environment. 🔍 In this role, you’ll: 📈 Assist in developing and evaluating predictive and analytical models using statistical and machine learning techniques 🛠 Support data pipelines, including data collection, cleaning, and feature engineering 📊 Create dashboards, visualisations, and reports that translate data into clear, actionable … analysts, engineers, and stakeholders to support data-driven decision-making 🔍 Explore areas such as forecasting, optimisation, automation, or NLP using Python, SQL, and modern ML libraries 📐 Contribute to best practices around data quality, documentation, and reproducibility 🌟 What’s in it for you? 📈 Career Development – Hands-on experience, mentoring from senior ...

communication Other: Mapping/location-based services There’s also scope to get involved in machine learning over time. Staxy already use ML to process GPS data and understand travel behaviour, and this will become a bigger focus as the platform evolves. You don’t need ML experience … React Native/Expo experience MongoDB Fastify or similar Node frameworks Mapping or location-based services Payments (e.g. Stripe) Any exposure or interest in machine learning Growth & progression Because the team is small and early-stage, this is a role where progression is earned, not capped. As Staxy ...

within complex environments Formulate and own an independent research agenda: identifying unsolved questions, designing hypotheses, and developing novel algorithms Explore new architectures, learning objectives, and training paradigms beyond incremental improvements to existing approaches Build experimental systems and prototypes that demonstrate new capabilities, not just theoretical gains Collaborate closely with … through mentoring, discussion, and knowledge sharing Publish and present research where appropriate, helping shape the broader research landscape What You'll Need PhD in Machine Learning, AI, Robotics, Computer Vision, or a closely related field (or equivalent research experience) Senior or staff-level research experience with a deep ...

working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance. They … solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions ...

models. Strategic Workflows: Develop enterprise-grade workflows and decision-support tools that reshape operations across industries. AI Leadership: Guide the integration of AI and machine learning models into client environments, ensuring measurable outcomes. Client Engagement: Partner directly with senior stakeholders, translate business needs into technical solutions, and influence … workflow design at enterprise scale. Track record of leading teams, mentoring engineers, and delivering complex projects in client-facing environments. Passion for AI, machine learning, and emerging technologies, with ability to translate innovation into impact. Exceptional problem-solving, communication, and stakeholder management skills. Curiosity, adaptability, and a drive ...

data pipelines and ETL processes. Create Workflows: Develop operational workflows and decision-support tools that transform enterprise operations. Apply AI: Collaborate on AI and machine learning models applied to real-world challenges. Technical Excellence: Deliver scalable, reliable software solutions using Python, SQL, and TypeScript. Grow & Share: Mentor peers … technologies (Foundry, Gotham, or similar) is preferred but not essential . Solid understanding of data engineering, ETL pipelines, and workflow design. Passion for AI, machine learning, and emerging technologies. Excellent problem-solving, collaboration, and communication skills. Curiosity, adaptability, and a drive to make a real-world impact. Work ...

that shape strategic decisions. What you’ll do Collect, clean, and analyse large datasets from a variety of sources Build and deploy statistical and machine learning models to solve complex business problems Collaborate closely with data engineers and stakeholders to deliver high-impact insights Develop data visualisations … Strong academic background – ideally from a Redbrick or Russell Group university Proficient in Python (pandas, NumPy, scikit-learn, etc.) and SQL Solid understanding of machine learning concepts and statistical analysis Strong problem-solving and critical thinking skills Excellent communication and presentation abilities What’s on offer Competitive salary ...

power decision-making models. Create Workflows: Develop operational workflows and decision-support tools that transform enterprise operations. Apply AI: Collaborate to implement AI and machine learning models against real-world challenges. Technical Excellence: Build scalable, reliable solutions using best practices in software engineering. Grow & Share: Mentor peers, upskill … with Palantir technologies (Foundry, Gotham) or similar platforms (preferred). Strong understanding of data engineering, ETL pipelines, and workflow design . Passion for AI, machine learning, and emerging technologies . Excellent problem-solving, collaboration, and communication skills. Curiosity, adaptability, and a drive to make a real-world impact. ...

making models. Create Workflows: Develop operational workflows and decision-support tools that transform enterprise operations. Apply AI: Collaborate with colleagues to implement AI and machine learning models against real-world challenges. Technical Excellence: Apply your software engineering skills to build scalable, reliable solutions. Grow & Share: Contribute … TypeScript. Experience with Palantir technologies: Foundry, Gotham, or similar platforms (preferred) Strong understanding of data engineering, ETL pipelines, and workflow design. Passion for AI, machine learning, and emerging technologies. Excellent problem-solving, collaboration, and communication skills. Curiosity, adaptability, and a drive to make a real-world impact. ...

vendors, and ensures strong alignment between technology capabilities, data strategy, and scientific priorities. A solid understanding of Artificial Intelligence (AI), Machine Learning (ML), and Large Language Model (LLM) technologies is essential, with close collaboration alongside computational and data science teams to enable next-generation research. Key Responsibilities Strategic … compliance Experience with R&D technologies such as LIMS, ELN, compound management, data analytics, visualisation tools, and scientific software platforms Demonstrated collaboration with AI, ML, computational chemistry, or data science teams Solid understanding of Linux, HPC environments, security, and containerisation Experience leading Computer Systems Validation (CSV) using risk-based approaches ...

ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Full Stack Engineer to work closely with product … design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You’ll work across the stack, implementing highly responsive UI components ...

large-scale testing across digital, CRM and marketing channels, optimising pricing, promotions and creative performance. AI and Predictive Analytics – Champion the adoption of AI, machine learning and predictive analytics, embedding models and tools into core business processes to deliver tangible impact. Analytics Platforms and Governance – Oversee analytics platforms … tools such as Tableau or Power BI Demonstrated ability to translate complex analysis into clear commercial recommendations Experience embedding AI, machine learning and predictive analytics into business processes Strong stakeholder management and executive-level influencing skills Advanced degree in a relevant field preferred This is a rare opportunity ...

small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible … model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Lead ML Engineer , with a proven track record of delivering ML models to production, to own the ML team in our growing company. What you will ...

Cloud Infrastructure (OCI) services and architecture Integrations with Oracle SaaS applications Oracle PaaS technologies Youll also have hands-on knowledge of Oracles AI and machine learning ecosystem, including: Oracle AI Services (Language, Vision, Anomaly Detection, Forecasting) Oracle Machine Learning (OML) and AI-driven integrations within ...

implement operational workflows and decision-support tools that improve how organisations operate day-to-day. Applied AI & Analytics: Collaborate with specialists to integrate machine learning and advanced analytics into real-world systems. Engineering Excellence: Write high-quality, maintainable code and contribute to scalable system design across the stack. … tools not required). Strong problem-solving skills and the ability to communicate clearly with both technical and non-technical stakeholders. Interest in AI, machine learning, and emerging technologies , with practical application in production systems. Security Clearance (Essential) 🚨 Active security clearance is a strict requirement for this role. ...

segmentation, and other core computer vision tasks. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of hands-on experience in Computer Vision and Deep … MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...

bring underwriting excellence. After 5 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery & IoT. After a successful Series B raise of $120M USD, we launched Descartes Insurance, a 'full … experience (internship) in data science, insurance or climate modelling. SKILLS Keen interest in climate related topics; Highly skilled in statistics, probabilities, applied mathematics and machine learning methods; Eye for quality and attention to detail; Fluency in English (written and verbal communication) is required; Proficiency in Python (e.g. pandas ...

breadth. Key Responsibilities Act as a hands‐on builder of AI‐powered products from idea to production. Combine software engineering, data engineering, and ML/LLM skills to deliver scalable solutions. Rapidly prototype, test, and iterate with real stakeholders and real data. Work closely with business teams to identify opportunities … define success criteria. Translate real operational problems into actionable AI solutions. Build models using classical ML (e.g., tree‐based methods, forecasting, uplift) as well as LLMs and generative AI. Develop predictive solutions such as churn, propensity, next‐best‐action, and lead scoring. Build APIs, services, and integrations enabling AI models ...

learning solutions with real-world impact. You will work on diverse projects across national security and healthcare-related sectors, applying AI/ML techniques to solve complex challenges. This is a London-based role with hybrid working support. Key Responsibilities: Lead and contribute to AI and ML projects … working closely with engineers, project managers, and non-technical stakeholders. Act as a technical point of contact, sharing expertise in AI/ML methods across projects and bids. Scope, plan, and deliver AI solutions, including model development, deployment, and evaluation. Mentor junior team members and support their professional growth. Present ...

test: Prompt-level guardrails. Safety classifiers Behaviour-shaping or reward-modelling components. LLM and multimodal fine-tunes Adversarial robustness defences Use Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, HuggingFace). Contribute to creation of synthetic datasets, adversarial evaluation corpora, and scenario-based test sets. Help transition research outputs … platform direction. Key Skills and Experience Strong Python programming skills and foundations in machine learning, LLMs, or multimodal AI. Understanding of ML concepts such as training, fine-tuning, optimisation, evaluation, and model drift. Experience building or adapting ML models (open-source or proprietary). Ability to design structured ...

small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible … knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 Build fundamental models for education - solving the ultimate learning ...

permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with … tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please ...