1 to 25 of 944 Remote/Hybrid Machine Learning Jobs in 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 ...

robust, scalable production systems. Youll work closely with engineers, data scientists, technical leadership and clients to understand challenges, shape solutions and deliver high-quality ML products. Youll be involved across the full lifecycle, from technical discovery and architecture through to deployment, optimisation and ongoing improvement. Key Responsibilities: Build and deploy … production-grade machine learning software, tooling and infrastructure. Design reusable and scalable solutions that accelerate the delivery of ML systems. Work collaboratively with software engineers, data scientists and commercial stakeholders to solve complex client challenges. Lead technical discovery, scoping and architectural decisions. Help establish and improve engineering standards ...

solve all disease with the help of AI.Research Scientist (Machine Learning), LondonYour impact As a Research Scientist in machine learning (ML), you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform … some of the most ambitious modelling problems with deep learning - as well as providing technical mentorship and people management for others in the ML community at Isomorphic LabsYou will be instrumental in leading greenfield machine learning based research projects, building the models, and algorithms that will power ...

Machine Learning Engineer £75k-£100k DOE | UK Remote About the Role We are seeking an experienced Machine Learning Engineer to develop, train and optimise advanced computer vision and machine learning systems for deployment in constrained edge environments. This role is ideal for someone … combines strong machine learning expertise with excellent software engineering capability and enjoys solving difficult performance, optimisation and deployment challenges. You will work on cutting-edge computer vision systems, helping deliver highly efficient machine learning models that operate in demanding real-world conditions. Responsibilities Develop advanced computer ...

models and systems yourself, and is excited to grow into a broader leadership role.Not everything here is about LLMs. You’ll work on rigorous ML, forecasting, optimisation and operations research problems where quantitative thinking, pragmatic delivery and strong product judgement really matter.You’ll lead a growing team of Machine … working alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers and operations specialists.ðYou’ll play a key role by...Shaping the ML strategy for Workforce Management, helping us decide where ML, forecasting and optimisation can have the biggest impact for customers and human agents.Leading the design, build ...

machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools … deliver innovative solutions using AI & Cloud.What You’ll DoTranslating Requirements: Interpret vague requirements and develop models to solve real-world problems.Data Science: Conduct ML experiments using programming languages with machine learning libraries.GenAI: Leverage generative AI to develop innovative solutions.Optimisation: Optimise machine learning solutions for performance ...

Engineer to join a growing AI and Data Science function within a leading global organisation. This team is responsible for developing innovative AI, Machine Learning and Natural Language Processing (NLP) solutions that power intelligent products used by customers around the world. Working within a collaborative, cross-functional engineering … environment, you'll play a key role in designing scalable AI platforms, productionising machine learning models and building cloud-native services that deliver real business value. This is an excellent opportunity for someone who enjoys solving complex technical challenges while mentoring others and influencing engineering best practices. ...

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 ...

LLMOps practices on AWS to build scalable, secure AI systems.What You'll Be DoingDesign, 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, and 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 explainability, governance ...

systems for large-scale multimodal datasets, including video, embeddings, and metadata, ensuring they are fast, reliable, and production-ready.The RoleWe're looking for experienced ML Systems Engineers to join our Research Services team and help build the infrastructure that powers machine learning across Flawless.This role is open across … Engineer. The level and scope of responsibility will be determined based on your experience, technical depth, leadership impact, and track record of delivery.As an ML Systems Engineer, you'll work closely with scientists, machine learning engineers, and platform teams to design and build the systems that underpin model ...

Senior Machine Learning Scientist London (Remote) The Company They are an innovative technology business leveraging advanced machine learning, natural language processing, and Generative AI to help organisations extract meaningful insights from large volumes of unstructured data. Their environment combines research, experimentation, and product development, giving technical … teams the opportunity to work on real-world AI challenges while delivering measurable business impact. The Role Train, evaluate and optimise machine learning models and agentic AI systems, owning experimentation from end to end. Build and enhance LLM-powered solutions including retrieval pipelines, reranking systems, intelligent agents ...

Design, develop, and deploy scalable machine learning systems that support demand forecasting and related AI products. Build and maintain end-to-end ML pipelines covering data preparation, experimentation, training, evaluation, deployment, monitoring, and optimisation. Develop large-scale data processing and feature engineering solutions using technologies such as PySpark … maintainable application development. Proven experience working with large-scale data processing technologies such as PySpark and Databricks. Strong background building end-to-end ML pipelines across the full machine learning lifecycle. Hands-on experience with deep learning frameworks including PyTorch, TensorFlow, or equivalent technologies. Experience with multimodal ...

transformation in secure environments where quality, assurance and governance matter.Your work will help clients move from data science experimentation to production-ready AI and ML solutions that are scalable, explainable, secure and aligned to measurable mission outcomes.Connect to your career at Deloitte Deloitte drives progress. Using our vast range … action we take, guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking to hire experienced ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties ...

Machine Learning Engineer/Data Scientist (SC Cleared) Location: Hybrid (2-3 days per week onsite Victoria, London) Rate: £570 per day (Inside IR35) Security Clearance: Active SC Clearance is essential We're looking for an experienced Machine Learning Engineer/Data Scientist to take ownership … live supervised machine learning models already running in production within a government environment. This is not a greenfield data science role. You'll be responsible for assessing, operating, and governing existing models that support operational decision-making. The focus is on understanding how models have been built, evaluating ...

work has a direct impact on customer experience and the company’s bottom line by reducing fraud and scams in financial transactions. Our ML scientists work on problems spanning fraud detection and prevention, transaction monitoring for suspicious activity, customer risk assessment and operational tooling. What you’ll be working … Learning Scientist is a technical individual contributor (IC) leadership role. You will be expected to leverage deep experience in developing and deploying advanced ML models on a modern cloud-native data platform to: Automatically and accurately detect suspicious user behaviors while minimising impact to genuine customers and operational costs ...

unsupervised learning, deep learning, transformers, generative AI and agentic AI patterns.Ability to assess the suitability, limitations and risks of different AI/ML techniques for real client use cases.Experience working across at least part of the data science or machine learning lifecycle, from exploration and prototyping … across all the areas below, but we are particularly interested in people who can bring in one or more of them:Applying AI/ML techniques to text, audio, imagery, video, geospatial, graph or multimodal data.Developing solutions using machine learning frameworks such as PyTorch, TensorFlow, scikit-learn ...

Machine Learning Engineer - Spiking Neural Networks Salary: £75,000 to £100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering … grade Spiking Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems. MFK Recruitment ...

Retrieval, embeddings and semantic search Narrative detection and clustering Multilingual text intelligence Large-scale data and model pipelines Model evaluation, observability and monitoring Production ML infrastructure on AWS The problems are often open-ended. You might be evaluating how reliably different models identify changes in a market narrative, improving entity … scale historical and real-time datasets. Carry out detailed error analysis and use what you find to improve model and system performance. Build reliable ML infrastructure Develop and maintain data and machine learning workflows using technologies such as Apache Airflow. Help improve CI/CD, automated testing, monitoring ...

interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision makingYou will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy.You will perform … Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: London (The Westworks)Type: Full time ...

Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This spans the personalization, recommendation … will run your organization as a hub-and-spoke: a strong central team that owns talent, craft standards, career growth, tooling, and long-horizon ML strategy, with scientists deployed close to the product areas they serve so delivery stays fast and grounded in real business context. You will ...

take, guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking to hire talented AI/ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties … technical capability with client-facing delivery, helping to translate business needs into production-ready AI and machine learning systems.As an AI/ML Engineer, you will play a key role in designing, developing and delivering data and AI solutions for our clients. In this role ...

world.As a Machine Learning Engineer at Autodesk Research, you will work side-by-side with researchers and engineers to build and enable ML-powered capabilities in Autodesk products. You are an ML engineer with strong software engineering skills who is passionate about solving problems and building things … working model from our offices in London.ResponsibilitiesCollaborate on projects at the intersection of research and product with a diverse, global teamBuild and iterate on ML pipelines, prototypes, and evaluation workflows, enabling rapid deployment and testing of experimental modelsWork with complex datasets and representations for model training, evaluation, and analysisAnalyze errors ...

AgentOps, and AI lifecycle management. It translates proven architectures, components, engineering practices, and design decisions into reusable AI capabilities that reduce duplication and ensure learning from one system strengthens the next.This role owns reusable AI system foundations and technical AI capability assets, not product roadmaps, business adoption, portfolio governance … Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: London (The Westworks)Type: Full time ...

resolve AI performance issues.· Percentage of AI initiatives with measurable business outcomes.· Leadership confidence in AI performance reporting.Minimum Requirement: Work Experience10+ years in AI, machine learning, software engineering, quality, risk, validation, or technology governance.Experience deploying or overseeing business-critical AI systems.Experience establishing governance, controls, quality standards, or operational … Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: London (The Westworks)Type: Full time ...