1 to 25 of 311 Remote/Hybrid Machine Learning Jobs in London

specific line between engineering and research teams. We operate as one cohesive unit, sharing tech stack, knowledge, and objectives. Our focus spans from fundamental ML research to commercial‐grade software development, offering diverse learning and impact opportunities. Your main responsibilities Work in the machine learning team … great fit looks like You have 2 or more years of experience as a machine learning engineer. You are familiar with several ML techniques, and have both theoretical ML knowledge and experience implementing different types of solutions. You are proficient in Python and have a good understanding ...

Machine Learning Engineer - Spacetime UK Aalyria is a leading technology company that supplies laser communications technology and temporospatial software-defined networking platforms to the aerospace industry. With technology acquired from Google, Aalyria is at the forefront of innovation in satellite and airborne mesh networks, as well as cislunar … space. Role Overview: Aalyria’s Spacetime team is seeking an experienced machine learning engineer for a hybrid role involving ML research and development. This role will involve applying cutting-edge machine learning algorithms to solve some of Spacetime’s most challenging temporospatial networking and resource management ...

hands-on leadership role where you'll influence both research strategy and engineering execution while working alongside computational biologists, protein engineers, and ML researchers. The ideal candidate combines deep expertise in foundation models with a genuine interest in solving complex problems in antibody design and immunology. You'll Be Working … validate model outputs Driving best practices across experimentation, MLOps, model deployment, and platform engineering Mentoring senior engineers and helping shape the long-term ML strategy of the company What They're Looking For Essential 5+ years of experience building advanced machine learning systems in production environments Strong expertise ...

higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature … Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching team is a diverse mix of industry experts, educators, and academics ...

Machine Learning Engineer role sits within Customer Success; is embedded within the Technical Operations team – a technical group of Data Engineers and ML Engineers responsible for optimising and maintaining advanced machine learning and AI components across Xantura’s projects. As an ML Engineer here, your core … directly into the OneView platform. This includes hands‐on work with model architectures, feature engineering, model optimisation, performance debugging, schema‐aligned data preparation, and ML‐driven interfaces. This is a role for engineers who want to build and maintain real models, ship real systems, and solve real operational ML problems ...

machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team. The Company They are a specialist, data led organisation … learning models into live production environments Designing and maintaining MLOps workflows, including model lifecycle management Developing APIs and containerised services to support ML products Implementing DevOps best practices across development and production Collaborating cross functionally to align data, modelling, and business requirements Your Skills and Experience Strong commercial ...

develop machine learning and LLM-based solutions Work on advanced AI systems within secure and constrained environments Apply deep technical knowledge across ML, statistics, and optimisation Contribute to real-world AI applications in defence and high-assurance settings Collaborate with engineers and clients to solve complex challenges Take … solutions deployed in edge, constrained, or air-gapped environments Apply best practices in AI safety, explainability, and robustness Collaborate with engineering teams to integrate ML systems into production environments Key Requirements: Strong understanding of machine learning fundamentals Solid foundation in mathematics and statistics Hands-on experience with LLMs ...

organisations with exceptional talent across AI, Technology, CRM and Senior Leadership appointments. We work with innovative organisations that are investing heavily in Artificial Intelligence, Machine Learning and Automation technologies to transform customer experiences, operational efficiency and business performance. We are currently supporting a high-growth organisation seeking … Working alongside AI Technical Leads, Product Teams, Software Engineers and Data Scientists, you will design, develop and deploy cutting-edge AI applications using modern Machine Learning and Generative AI technologies. You will play a key role in developing enterprise AI solutions, intelligent automation platforms, conversational AI systems, voice ...

hands-on engineering role, working closely with data scientists, analysts, architects, and product teams to productionise models, build data pipelines, and embed ML capabilities into live services. Key Requirements Active Security Clearance (SC) - must be current and transferable Proven experience as a Machine Learning Engineer within central government … regulated environments Strong programming skills in Python (e.g. Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) Experience building and deploying ML models into production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ML, Data Factory, Synapse) Experience in AWS environments is beneficial Experience with MLOps practices and tools ...

Negotiable (Base) + Company Performance Bonus (20%) + Share Options + iProov Benefits We are looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This hybrid leadership role sits … learning infrastructure, platform engineering and MLOps. You will be responsible for designing and evolving the systems, tooling, processes and standards that allow ML teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software ...

that supports machine learning workflow execution and deployment. Optimise data processing systems for throughput, scalability and efficiency. Collaborate closely with Data Engineers, ML Engineers and Research teams to deliver high-quality datasets and platform capabilities. Identify and resolve bottlenecks, performance issues and system failures. Contribute to engineering best … collaboration skills. Desirable Experience Experience working within large-scale data or platform engineering environments. Exposure to machine learning infrastructure, pipelines or production ML systems. Experience supporting data processing frameworks, orchestration platforms or workflow tooling. Familiarity with JVM-based distributed systems. Experience working within highly scalable cloud or distributed ...

Machine Learning Engineer to join our Analytics division and play an important role in enhancing our metrics offering. As our first dedicated ML hire, you’ll be utilising an array of modern LLM and NLP techniques to analyse complex financial data and unlock new capabilities for our market … developers, data engineers, and product teams to productionise models into scalable, high-performance systems Requirements Confident programming skills in Python, with experience using modern ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Good understanding of core machine learning concepts such as linear regression, reinforcement learning and deep learning ...

portfolio (formerly Onfido) powers document and biometric verification, fraud detection, and identity decisions at global scale. From detecting deepfakes to enabling seamless onboarding, our ML systems sit directly on the critical path of digital trust—used by banks, fintechs, marketplaces, and enterprises worldwide. About the Team: You’ll join … working at the intersection of machine learning, product, and real-world constraints. The team is supported by a state-of-the-art ML Ops ecosystem (AWS, Encord, Ray, PyTorch Lightning, Weights & Biases) and partners closely with product and engineering to ship models into production at scale. This ...

quarter. What You’ll Do? Design and help develop systems that serve recommendations to over 200 million users. Drive ML roadmap creation and execution, specifically around feed ranking and recall-oriented candidate generation systems. Provide technical guidance in ML model formulation, implementation, and experimentation, and take end-to-end ownership … ML systems and key user satisfaction-based metrics. Drive architectural strategy and design for complex ML systems that support the needs of users, creators, and content stakeholders. Who are you? 8+ years of professional experience in software engineering focused on deploying machine learning models in production at scale. ...

self-starter mindset; you proactively identify the most impactful issues and opportunities and collaboratively tackle them without being told to do so. Using advanced ML techniques to ensure Monzo’s customers money stays safe, even if their card, phone or account is compromised, sounds exciting to you. You have extensive … used in many of our backend microservices. You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact. You thrive working on ambiguous problems and have a track record of helping your team and stakeholders resolve that ...

Active SC required We're hiring an experienced SC-cleared Data Scientist to support a high-profile central government programme delivering advanced analytics and machine-learning solutions. This role is focused on turning complex datasets into predictive insight and deployable models that directly inform policy and operational decision … understanding of machine-learning techniques (supervised, unsupervised, model evaluation) Experience with MLOps practices, including: Model versioning and deployment CI/CD for ML workflows Monitoring and performance management Experience working with cloud-based data platforms ( AWS and/or Azure ) Strong statistical knowledge and ability to explain complex ...

Data Scientist, London/Oxford hybrid working Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create … strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale ...

years, placing 4 people with them, and all 4 are still with the company. Our client is a rapidly growing AI and Machine Learning company, specialising in the research, development and deployment of advanced technology into Defence, security, intelligence and adjacent sectors. Their team includes highly experienced software … developers, data scientists, Machine Learning specialists and researchers, with strong academic, research and Defence backgrounds. They are now looking for a Senior Business Development Manager in Defence to join their senior team and help drive their next phase of growth. This is an excellent opportunity for an experienced ...

productive environment. Nurture younger colleagues to grow their skillset and guide their professional development. The below activities in particular. Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations. Build models to predict the behaviour of physical … systems using state‐of‐the‐art machine learning and deep learning techniques. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real‐world problems. Collaborate with colleagues beyond the research team to translate your models into production‐ready ...

this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions … Skills and Experience****Requirements*** *BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.** *Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML ...

datasets, with applications spanning molecular generation, protein representation learning, and uncertainty-aware prediction systems. This role is ideal for someone excited by frontier ML research but equally passionate about building robust, production-grade systems. You’ll Be Working On Developing large-scale foundation models for biological and chemical data … Building probabilistic ML systems capable of uncertainty estimation and Bayesian inference Training transformer architectures and latent variable models across molecular and genomic datasets Scaling distributed GPU training pipelines for multi-billion parameter models Working on generative modelling approaches for molecule and protein design Designing evaluation frameworks for biological plausibility, calibration ...

supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. This is a hands‐on, technical leadership role with high ownership. … will develop and deploy advanced speech systems that power our products as well as co‐define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase. What You’ll Do: Develop and deploy ML models, translating research into scalable, maintainable code ...

Machine Learning Engineer at Autodesk Research, you will work side‐by‐side with world‐class researchers and engineers to build new ML‐powered product features to help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems … projects at the intersection of research and product with a diverse, global team of researchers and engineers Support research through the construction of ML pipelines, prototypes, and reusable, testable code Process data and analyze feature extractions Analyze errors and provide solutions to problems Present results to collaborators and leadership Minimum ...

use. Day to day, you’ll collaborate with multidisciplinary teams of data scientists, researchers, and hosting specialists, acting as the subject-matter expert for ML deployment, reliability, and best practice. You’ll be the critical bridge between research and production, making sure ideas don’t stay theoretical but instead become … importantly, you’ll champion model explainability, transparency, and ethical AI as core engineering principles. Across multiple projects, you’ll also support and mentor junior ML engineers, help software engineers design ML-ready hosting environments, and translate complex systems into a clear, practical understanding for non-technical stakeholders. About you There ...

evaluate, manage, and route content reliably at global scale. We’re seeking a Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify. In this role, you’ll work on systems that generate deep, machine-readable understanding of content across … across large datasets Who You Are You have experience building and deploying machine learning systems in production You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar You have experience working with large datasets and care about data quality and evaluation You are interested ...