1 to 25 of 879 Remote/Hybrid Machine Learning Jobs in London

marketplace. Ready to join the team that's defining the future of digital advertising The Modeling team is responsible for Machine Learning (ML) systems at Quantcast. We build and maintain high-frequency ML infrastructure that prices millions of advertising opportunities per second in a real-time auction environment … concepts, and build out scalable real-time production systems to tackle challenges the company faces.What you'll do:• Design, code, test, and debug ML applications and constantly improve large-scale global systems that respond to millions of real-time requests per second, efficiently.• Run Machine Learning experiments ...

Senior Machine Learning Engineer Salary: £80,000 – £90,000 Location: London|Hybrid Data Idols are working with an innovative technology business that is continuing to invest in its Machine Learning and AI capabilities. They are looking for a Senior Machine Learning Engineer to help … build and deploy high-performance Machine Learning solutions, working across modern AI and Generative AI technologies. You’ll work across the full ML lifecycle, from experimentation and development through to deployment, monitoring and optimisation in production. You’ll help establish robust MLOps practices and ensure Machine Learning ...

been removed by the job board, full contact details are readily available on our website). Keywords: Machine Learning Researcher/ML Research Scientist/Applied Machine Learning Scientist/AI Researcher/Research Engineer/Machine Learning Engineer/AI Engineer/Applied … Engineer/ML Scientist/Deep Learning Researcher/NLP Researcher/Research Software Engineer/Python/PyTorch/Large Language Models/LLM/LangChain/LangGraph/AI Agents/Enterprise Search/Neural Networks/Model Deployment/Edge AI/TensorFlow/scikit-learn ...

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Working with a FTSE 100 retail client who looking for 2x Machine Learning Engineers to expand their existing engineering team - this will be to support the delivery of advanced … Python (Pandas, Scikit-learn, Jupyter, Matplotlib) Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services) Expertise: Solid understanding of computer science fundamentals and time-series forecasting Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. ...

complex use cases Working with predictive modelling and Machine Learning techniques Taking models from development through to production Embedding AI/ML solutions into real-world business environments Solving complex technical and business problems Helping shape and develop the organisation's wider AI/ML capability Working across … commercial experience within AI/Machine Learning Hands-on LLM/Generative AI experience Strong Python experience Experience developing and training complex ML models Predictive modelling/predictive Machine Learning experience Experience taking models into production environments Knowledge of MLOps and production ML practices Excellent analytical ...

cover, 16 months)Apply: London: Full time: Posted Today: 0000039362**Job Description**#LI-KO1 Just imagine turning millions of customer interactions into production-ready machine learning models that deliver more relevant, personalised experiences. Then make it real. **About the role**As our Senior MLOps Engineer, you’ll bring … machine learning models out of the workshop and into dependable production environments during this 16-month parental cover. You’ll make deployment and monitoring smoother, strengthen our machine learning operations framework and help manage risks across live systems. Along the way, you’ll connect data science ...

Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team - a technical, client-facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI. The Machine Learning Engineer role sits within Client Delivery, embedded … Data & Analytics Consulting (DACs) team - a technical, client-facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components across Xantura’s projects. As an ML Engineer here, your core work is designing, training, evaluating, and productionising machine learning ...

applications. Position Overview We are looking for a highly skilled Senior AI Software Engineer/AI Model Specialist with deep expertise in artificial intelligence, machine learning, and modern software development. The successful candidate will be responsible for designing, developing, training, testing, and optimizing AI models and intelligent software … collaborate with multidisciplinary teams to create innovative products that solve complex business and operational challenges. Key Responsibilities Design, develop, and deploy advanced AI and machine learning solutions. Build, train, validate, and optimize machine learning and deep learning models. Develop Generative AI and Large Language Model ...

applications. Position Overview We are looking for a highly skilled Senior AI Software Engineer/AI Model Specialist with deep expertise in artificial intelligence, machine learning, and modern software development. The successful candidate will be responsible for designing, developing, training, testing, and optimizing AI models and intelligent software … collaborate with multidisciplinary teams to create innovative products that solve complex business and operational challenges. Key Responsibilities Design, develop, and deploy advanced AI and machine learning solutions. Build, train, validate, and optimize machine learning and deep learning models. Develop Generative AI and Large Language Model ...

Lead Applied Scientist - AI & Machine Learning London (Hybrid - 2-3 Days per Week in the Office) Salary: £95,000 - £120,000 + Bonus + Excellent Benefits Are you an experienced AI and Data Science leader looking to shape the future of Generative AI and Machine Learning … challenges. The Opportunity As the senior scientific authority within the AI and Data Science function, you will lead the development of innovative AI and ML solutions from concept through to production. You'll work closely with engineering, business stakeholders, and senior leadership to ensure solutions are robust, scalable, and deliver ...

across the pricing and shipping space, spanning both prediction and decision-making under business constraintsLead efforts to productionise and scale these models, partnering with ML and backend engineers so they run reliably on our systemsIdentify and define requirements from multiple stakeholders across Pricing and Shipping, and lead the design … guide model and product improvements, ensuring statistical rigour and real-world applicabilityKeep up to date with applied research, contribute to internal knowledge sharing and ML best practices, and apply new techniques for prediction, causal inference, and optimisationParticipate in team ceremonies, such as technical whiteboarding sessions, planning, and roadmappingCommunicate technical findings ...

Would you thrive in a fast-scaling business, solving novel problems in collaborative teams? Are you interested in developing machine learning models for difficult green-field problems? If so, you could be the person we are searching for. We are an IoT innovator working to scale our product … developing technology that will change paradigms, contribute to a sustainable future, and improve lives. We are building Virtual Energy Infrastructure using our world-leading machine learning algorithms. We’re looking for a Machine Learning Research Engineer to work with us in our Data Science ...

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 ...

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 ...

machine learning solutions, from problem framing and data strategy through to modelling, deployment, and iteration in production Design and build scalable ML systems to detect fraud, abuse, and policy violations in user-generated content across text and multimodal domains Lead the development and application of LLM-based approaches … shaping detection strategies in partnership with Trust, Policy, and Product Collaborate cross-functionally to translate business and safety goals into effective, production-ready ML systems, influencing trade-offs and priorities Communicate clearly and effectively with both technical and non-technical stakeholders, articulating approaches, trade-offs, and impact Qualifications: Proven track ...

learning, AI, and want to contribute to the platform capability development for our whole organization, we invite you to apply. Responsibilities Design the ML deploy, monitoring pipelines and engineering infrastructure to support enterprise machine learning systems at scale Take offline models data scientists build and turn them … years of experience in AWS & Terraform, Jenkins, Cloudformation or any other IAAC. Proven Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer on AWS Sagemaker and similar tools. Knowledge and experience with CI/CD tools. Strong hands-on technical skills in automation (Jenkins, GitLab, Docker ...

ML Engineer £750 p/day | Inside IR35 | 6 Months | West London (2 days onsite) | BPSS Required We're looking for an experienced ML Engineer to join a high-profile programme focused on delivering advanced machine learning and personalisation solutions at scale. This is an excellent opportunity … work with large datasets, cutting-edge ML technologies, and cross-functional teams to build impactful customer-facing products. Key Responsibilities Design, build, train and optimise machine learning models focused on personalisation, recommendation engines, ranking algorithms, user segmentation and content analysis. Develop and maintain scalable data pipelines to support ...

Life insurance x4 Company pension contribution 25 days annual leave, plus 1 personal day Option to purchase additional holiday (up to 5 days) Great learning & development resources Enhanced maternity pay, paternity and adoption leave The Role Location: London/Hybrid Type: Full Time Contract type: Permanent Application closing date … efficient. Help shape how machine learning engineering is done at PureGym, creating patterns and standards that can scale as our use of ML grows. The Person You’re an engineer who enjoys the challenge of making machine learning work reliably in the real world. ...

Paddington, United Kingdom Hybrid working from home and Central London Join a voice technology company as a Machine Learning Researcher and help them to continue developing cutting-edge voice, speech and noise cancellation technologies. As part … their audio technology research team, you'll be responsible for: Carrying out research on deep learning audio Evaluating and testing AI and ML models Implementing and training models Model research, implementation, training, evaluation and inference Writing reports and research papers With several products already on the market and thousands ...

ensure the intelligence your team buildshasa real effect on the business. Some of the great things you'll be doing: Leading Delivery of ML and AIsystems Lead and develop a team of ML engineers, creating the conditions for them to deliver robust, scalable systems into production - spanning real-time inference … ambition and delivery reinforce each other Contribute to standards and practices across the wider Data & AI Solutions chapter Technical Leadership Set the standard for ML and AI engineering quality, reproducibility, and production-readiness across your team - covering model pipelines, deployment tooling, system design, and lifecycle automation Take ownership ...

depop.com. Role Depop is looking for a Machine Learning Engineer to join the Ranking team in the UK. You will work alongside ML Scientists, Backend Engineers, MLOps, and other ML Engineers to build, deploy, maintain, and monitor the machine learning systems that power personalised ranking across … users every day. These models are deployed for real-time inference and integrated across multiple services in the Depop platform. As a Senior ML Engineer in this team, you will play a key role in building the infrastructure and systems required to train, deploy, and operate scalable ranking models ...

with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you’ll be working with … transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated ML workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance ...

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, and excited … offices in London. Responsibilities Collaborate on projects at the intersection of research and product with a diverse, global team Build and iterate on ML pipelines, prototypes, and evaluation workflows, enabling rapid deployment and testing of experimental models Work with complex datasets and representations for model training, evaluation, and analysis Analyze ...

analytics to enable transformation across R&D, clinical, and commercial functions. Acting as a trusted advisor, you will design and deliver scalable solutions using machine learning, Generative AI and large language models to address key challenges in drug discovery, clinical development, pharmacovigilance and patient engagement. You will combine … optimization and pharmacovigilance Advise executive stakeholders on AI strategy and translate technical concepts into actionable business outcomes Define and deliver enterprise-wide AI and machine learning adoption roadmaps aligned to business objectives Create governance frameworks to ensure AI solutions meet regulatory and ethical requirements (e.g., GDPR ...

looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data sciencealgorithms,while building, leading, nurturing and retaining a high … Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management and leadership skills - previous experience managing a team Strong influencing, communication and stakeholder management skills Be Customer ...