101 to 125 of 995 Machine Learning Jobs in London

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 ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with … following Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorR click apply for full job details ...

Gigaton in the Greater London area is seeking a Senior Machine Learning Engineer to contribute to the development of innovative control systems aimed at reducing carbon emissions. The role involves building, testing, and deploying machine learning models, while fostering collaboration with product teams. The ideal candidate … will have at least 2 years of experience in machine learning, proficiency in Python, and a strong passion for climate change mitigation. You will enjoy benefits such as equity, flexible working, and generous leave. #J-18808-Ljbffr ...

+ Leading Training & Development + Cutting Edge Technology ProjectsHybrid role, Central London 3 days on site Are you an AI Engineer, Computer Vision Engineer, Machine Learning Engineer or AI Integration Engineer looking for the opportunity to work on genuinely cutting-edge AI applications that are shaping the future … Engineer/Computer Vision Engineer/Machine Learning Engineer/AI Integration Engineer or similar *Strong Python experience with AI/ML frameworks such as PyTorch or TensorFlow *Experience with Computer Vision, real-time AI systems or applied Machine Learning *Exposure to Unity, Unreal Engine ...

Leading Training & Development + Cutting Edge Technology Projects Hybrid role, Central London 3 days on site Are you an AI Engineer, Computer Vision Engineer, Machine Learning Engineer or AI Integration Engineer looking for the opportunity to work on genuinely cutting-edge AI applications that are shaping the future … Engineer/Computer Vision Engineer/Machine Learning Engineer/AI Integration Engineer or similar *Strong Python experience with AI/ML frameworks such as PyTorch or TensorFlow *Experience with Computer Vision, real-time AI systems or applied Machine Learning *Exposure to Unity, Unreal Engine ...

investing heavily in AI-driven innovation. With strong backing and a clear product roadmap, they are focused on responsibly augmenting human data with advanced machine learning and synthetic intelligence. The Role Design, build, and deploy Generative AI and LLM-based solutions for synthetic data generation and data augmentation … Develop and validate statistical and machine learning methodologies to ensure data quality, reliability, and trust Work closely with Product and Engineering to take models from experimentation through to production Build systems that enhance real-world data rather than replace it, including open-text and structured outputs Communicate complex ...

SENIOR DATA ENGINEER £90-£120K LONDON This is an opportunity to join a high-growth applied data and machine learning team focused on tangible commercial impact. You will work on varied, high-visibility projects where your work directly influences business performance and value creation. THE COMPANY Our Client … with a clear focus on collaboration and pragmatism THE ROLE Work within the deployment team, embedding into portfolio companies to deliver data science and machine learning initiatives. Partner closely with C-suite and senior stakeholders to define problems that drive measurable commercial value. Design, build and deploy machine ...

vision of empowering people to make smarter financial decisions. You will:/p ul li Own the vision and long term strategy for our ML/Chat Product pillar/li li Lead three critical Machine Learning Product teams focusing on the following but not limited to Platform … cares about their team./li li Previous experience related to leading multiple product teams in the context of using machine learning (ML) and generative AI to solve customer problems./li/ul p Why Should I Apply?/p ul li We have a clear Product ...

This is an exciting opportunity for a Data Scientist with around 2+ years of experience to work on cutting-edge projects across Generative AI, Machine Learning, customer analytics, personalisation, and digital transformation. You'll help leading brands unlock the value of their customer data, delivering AI and data … science solutions that drive better customer experiences and measurable commercial outcomes. What You'll Be Doing ✔ Designing, developing, and deploying Machine Learning and Generative AI solutions for customer, marketing, CRM, and digital use cases ✔ Working with Large Language Models (LLMs) to build and evaluate AI-powered products ...

closely with cross‐functional partners including product, data science, and engineering teams to align on goals, share context, and deliver impactful solutions Work across ML, backend, and data layers to bring models into production Contribute to scalable infrastructure supporting high‐volume user interactions Run experiments and use insights to continuously … with production‐grade systems and scalable architectures You have worked on recommendation systems, ranking, or optimization problems You bring a T‐shaped skillset across ML, data, and backend domains You are comfortable navigating ambiguity and solving complex problems You care about user experience and measurable impact You enjoy collaborating across ...

closely with cross-functional partners including product, data science, and engineering teams to align on goals, share context, and deliver impactful solutions Work across ML, backend, and data layers to bring models into production Contribute to scalable infrastructure supporting high-volume user interactions Run experiments and use insights to continuously … with production-grade systems and scalable architectures You have worked on recommendation systems, ranking, or optimization problems You bring a T-shaped skillset across ML, data, and backend domains You are comfortable navigating ambiguity and solving complex problems You care about user experience and measurable impact You enjoy collaborating across ...

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 ...

Engineer - LLM & Agentic Systems London - Hybrid. Circa £500 – £675 per day (and negotiable DOE) Contract (Outside IR35) Mid-level, Senior & Lead. Agentic AI/Machine Learning. Company: Our client is a globally established B2B information and professional services business, operating across multiple high-value industry sectors. They have established … data science and machine learning engineering teams already delivering in production, and are now expanding their AI capability significantly across the global organisation. This is a role for people who ship. If you've built LLM-powered systems and agentic workflows that are live in production - not demos ...

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 ...

provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise‐grade standards. You will contribute … strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross‐account productionisation. You will mentor engineers, influence product and architectural decisions, and ensure that our ML systems operate reliably at scale, underpinned by a robust governance and compliance framework. ...

performing, research-driven team in a systematic trading environment, tackling complex, real-world prediction and optimisation challenges. This role sits at the intersection of machine learning research, mathematical modelling, and high-performance computing, with a focus on designing, testing, and deploying models in data-rich, noisy, and highly … dynamic environments where precision, speed, and robustness are critical. You’ll develop novel machine learning models for large-scale predictive systems, apply statistical and probabilistic techniques to real-world data, and design rigorous experiments to evaluate performance. The work also includes simulation-driven approaches such as Monte Carlo ...

ML Engineer (Stealth AI Company) About the company We are building a foundational intelligence platform that transforms fragmented, proprietary information into durable institutional intelligence — enabling organisations to reason faster, preserve context, and compound knowledge over time. We are starting with information‐dense, judgment‐heavy industries where decision‐making under uncertainty … organisational knowledge evolves We are intentionally not: a workflow automation tool a chat UI on top of documents a standalone “knowledge graph product” Graphs, ML, probabilistic reasoning, and human‐in‐the‐loop systems are combined to solve a larger problem: How can organisations reason reliably over their own information ...

between traditional predictive algorithms and modern generative systems. Your Impact Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Timeseries Forecasting models to solve complex enterprise business and planning challenges. Generative AI Architecture: Architect GenAI solutions, focusing on fine … Familiarity with Anaplan or similar enterprise planning platforms. Experience with A/B testing and experimentation frameworks for AI features. Contributions to open‐source ML projects or research publications. Our Commitment to Diversity, Equity, Inclusion, and Belonging (DEIB) We believe at Anaplan that diversity, equity, inclusion and belonging are central ...

Barlowe LLP seeks a Machine Learning Engineer to join the ML and HPC Architecture team, based in London. This role involves working with cutting-edge technology, collaborating on various ML projects, and optimising processes to enhance performance across teams. Ideal candidates will possess a postgraduate degree in Machine Learning or related experience, along with strong programming skills in Python and familiarity with ML model building. The role does not require finance experience, encouraging diverse applicants. #J-18808-Ljbffr ...

teams. About us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts, and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public …/team leadership role. 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 7 years of experience leading technical project strategy, ML design, and optimizing industry‐scale ML infrastructure (e.g., model ...

transformer architecture, diffusion models, flow matching, and variational autoencoders: their evolution, their tradeoffs, and where they're going. Real world experience building ML/AI systems that reached production, not just research prototypes. Practical experience managing research projects end to end — from problem formulation through to evaluation and deployment. Knowledge … modern, larger-scale Python and the ML stack (PyTorch, JAX, or equivalent). You write research-grade code. Practical experience building large-scale data pipelines. We don't have data infrastructure — you'll help build it. Nice to Have Experience in a high-pace startup environment. Knowledgeable about physical engineering ...

Master’s degree (MS) or higher is strongly preferred. Experience : 2+ years of professional experience as a Machine Learning Engineer, Applied ML Scientist, or similar role, with a clear focus on productionizing models and advanced AI techniques. Technical Depth : Strong expertise in Python development and established skills … deploying and managing the full lifecycle of complex ML/DL models. Experience with advanced analysis of unstructured or multi‐modal data (e.g., high‐dimensional feature vectors, dense embeddings) is highly valued. MLOps Mindset : Proven track record of transforming R&D proofs‐of‐concept into robust, scalable, and monitored production ...

Machine Learning Engineer – Joybuy, JD.com We are seeking a Machine Learning Engineer to drive the search and recommendation experience for Joybuy, JD.com’s European full-category online retail brand. This role will impact at least GBP100million in business revenue. Responsibilities Design, develop, test, deploy, maintain ...

Learning Engineers to join their Solutions and AI Lab Team. The role involves defining and implementing machine learning projects, establishing ML Ops frameworks, and advising clients on technology options. A strong grounding in machine learning and cloud technologies is essential. The ideal candidate will … have an advanced degree in a relevant STEM field and the ability to build scalable ML solutions. Strong collaboration skills are required to work effectively with clients and integrate seamlessly into projects. #J-18808-Ljbffr ...

Lead Data Scientist | London | Retail 📍 Central London (Hybrid - up to 2 days in office) 💰 Up to £150,000 + Private Health Machine Learning | Data Science | Deep Learning | AI Our client partners with some of the world’s most recognisable brands to deliver innovative, data-driven solutions that … machine learning Data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow) Track record delivering impactful AI/ML projects (e.g. forecasting, recommendation systems, or optimisation) Experienced project lead with strong technical decision-making and architecture ownership Excellent communicator — able to translate complex technical ...