26 to 50 of 675 Remote Machine Learning Jobs

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 ...

data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: AI/ML Researcher Location: Great Baddow (Hybrid 2/3 days onsite) Who we are Join BAE Systems and you’ll be part of something bigger. … applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics. We are looking for an AI/ML researcher to join the Knowledge and Semantics team within our Data and Decision Support Capability You will have the opportunity to work with colleagues across ...

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 ...

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 science algorithms, while building, leading, nurturing and retaining … 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 ...

information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA’s Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures … Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously ...

week) Salary: £70,000-£80,000 + Bonus We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform … Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full ...

Senior through to Staff Machine Learning Engineers. Key Responsibilities Design, build and deploy production machine learning systems Own the full ML lifecycle, from data preparation through to training, evaluation and inference Turn research into reliable, production-ready ML solutions Optimise models for performance, latency, scalability … robust training and inference pipelines Debug complex production issues using real-world data and signals Mentor engineers and help drive engineering standards across the ML function Key Requirements Commercial experience building and deploying production ML systems Strong Python software engineering skills Experience training, fine-tuning or deploying modern machine ...

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 ...

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 ...

Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers. You will leverage your experience in developing and deploying advanced ML models for: Automatically and accurately detecting suspicious user behaviours while minimising impact to genuine customers and operational costs. Adapting quickly to changing fraud and financial … crime trends, ensuring detection systems remain performant over time. Designing ML solutions that scale globally. You should apply if: What we’re doing here excites you: You have a track record of deploying advanced ML models tackling real business problems with demonstrable impact, preferably in a fast‐moving tech company. ...

Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers. You will leverage your experience in developing and deploying advanced ML models for: Automatically and accurately detecting suspicious user behaviours while minimising impact to genuine customers and operational costs. Adapting quickly to changing fraud and financial … crime trends, ensuring detection systems remain performant over time. Designing ML solutions that scale globally. You should apply if: What we’re doing here excites you: You have a track record of deploying advanced ML models tackling real business problems with demonstrable impact, preferably in a fast‐moving tech company. ...

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 ...

large self-supervised ones, supportingSpeechmaticstowards being the mostaccuratespeech 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 ...

manage, and route content reliably at global scale. We’re seeking a Senior Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding, safety, and decisioning across the platform. In this role, you’ll shape the architecture and technical strategy that ensures content … with content across Spotify. What You Will Do Shape the machine learning strategy for content understanding and platform-level decisioning Build & scale ML systems for classification, moderation, ranking, risk detection across multimodal content Develop automated decisioning systems that ensure content quality, integrity, & policy compliance at scale Design ...

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 ...

offices. Responsibilities Lead the implementation of data science projects and data science approaches to support commercial goals. Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working. Collaborate with tech, product and data teams to develop the data platforms that allow us to apply … broader customer analytics) “brand” at Kingfisher for both internal and external audiences. Qualifications Proven experience delivering high-quality AI‐based products and productionisation of Machine Learning based products. Proven experience developing cloud‐based machine learning services using one or more cloud providers (preferably GCP). Excellent ...

will define and lead our data science vision - translating cutting‐edge AI capabilities into real-world business impact. You’ll shape how advanced analytics, ML, and emerging AI technologies are applied across the organisation, ensuring we move beyond pilots into scaled, production‐grade AI solutions. This is a rare opportunity … MLOps, model monitoring, and responsible AI governance Develop and lead a high-performing team Develop, mentor, and inspire a team of data scientists and ML engineers Foster a culture of experimentation, continuous learning, and applied innovation Set a high-performance bar - focused on outcomes, impact, and measurable value Champion ...

Overview of the role: We are looking for a Principal Data Scientist to help shape the design, development and delivery of production‐grade AI, machine learning and data science solutions across Mott MacDonald. The role will focus on turning complex business, engineering and environmental needs into scalable, reliable … data products and AI services. The successful candidate will bring technical experience across generative AI, large language models, retrieval augmented generation, machine learning, computer vision, geospatial data science and MLOps. They will work with multidisciplinary teams to identify valuable use cases, shape solution architecture, develop reliable models ...

Location London Employment Type Full time Location Type Hybrid Department Research Voleon is a technology company that applies state‐of‐the‐art AI and machine learning techniques … real‐world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion‐dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts ...

largest repositories of personal and financial data. We're looking for a Lead Security Data Scientist to lead a specialist team using data science, machine learning, AI and advanced analytics to detect threats, uncover malicious activity and strengthen the security of critical public services. This is an opportunity … critical infrastructure. About the team The Security Data Science team sits within DWP's Cyber Resilience Centre, bringing together expertise in data science, analytics, machine learning and automation to tackle some of the department's most complex security challenges. The team develops innovative capabilities that help identify threats ...

largest repositories of personal and financial data. We're looking for a Lead Security Data Scientist to lead a specialist team using data science, machine learning, AI and advanced analytics to detect threats, uncover malicious activity and strengthen the security of critical public services. This is an opportunity … critical infrastructure. About the team The Security Data Science team sits within DWP's Cyber Resilience Centre, bringing together expertise in data science, analytics, machine learning and automation to tackle some of the department's most complex security challenges. The team develops innovative capabilities that help identify threats ...

largest repositories of personal and financial data. We're looking for a Lead Security Data Scientist to lead a specialist team using data science, machine learning, AI and advanced analytics to detect threats, uncover malicious activity and strengthen the security of critical public services. This is an opportunity … critical infrastructure. About the team The Security Data Science team sits within DWP's Cyber Resilience Centre, bringing together expertise in data science, analytics, machine learning and automation to tackle some of the department's most complex security challenges. The team develops innovative capabilities that help identify threats ...

Role Research Engineer Salary Competitive Contract Perm Location Oxford The Role As our Research Engineer, you will sit at the boundary between frontier machine‐learning research and shipped product. You will take ideas from the research edge, reinforcement learning, RLHF, multi‐objective policy optimisation and LLM post … customers depend on, while connecting that research to OD’s product vision and to what our customers actually need. Responsibilities Apply and adapt machine‐learning and reinforcement‐learning research to OD’s product roadmap, translating research direction into shippable capability. Design, train and evaluate models using reinforcement ...

group and wider business strategies. Design and deliver data‐centric solutions while working collaboratively across disciplines. Technical delivery of research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership across multiple projects. Manage more junior team members across the SRG. Deliver AI/… ML/Data Science solutions to a broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team, to senior ...

deeply embedded within our DNA. Invest in us and we’ll invest in you. Job Description We are seeking a hands-on AI/ML Engineer to build, deploy, and optimize machine learning and Generative AI solutions. The role focuses on developing production-grade AI applications, integrating … foundation models and APIs into enterprise applications. Create reusable AI components and frameworks. Machine Learning Engineering Train, fine-tune, evaluate, and deploy ML models. Develop feature engineering and model evaluation pipelines. Implement model monitoring and performance tracking. Optimize model inference performance and cost efficiency. Generative AI Engineering Develop ...