1 to 25 of 1,190 Remote Machine Learning Jobs

Join to apply for the Machine Learning Engineer role at Treecode 1 week ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer role at Treecode Get AI-powered advice on this job and more exclusive features. At Wayve we're committed to creating a diverse, fair and respectful culture that … England, United Kingdom 17 hours ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 6 days ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 4 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 month … Learning Software Engineer, Research London, England, United Kingdom 2 months ago London, England, United Kingdom 1 month ago London, England, United Kingdom 2 months ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago City Of London, England, United Kingdom 6 days ago London, England, United Kingdom 1 month ago Were unlocking community knowledge More ❯

Learning Scientist to join our Search & Ranking team in the UK. As part of the team you will work alongside a Product Manager, Backend Engineers and other ML Scientists playing a key role in building innovative models to power Depops search engine and ranking across the app. Responsibilities You will: Research, design and deliver ML solutions to take … humble great teammate with an ability to work wimulti-functionalnal teams, including technical and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS … Quantum Chemistry and Machine Learning), London London, England, United Kingdom 3 weeks ago London Area, United Kingdom 80,000.00-80,000.00 20 hours ago Senior AI/ML Engineer (Data Science & Software Focus) London, England, United Kingdom 23 hours ago Distinguished Research Scientist, Physics Informed AI London, England, United Kingdom 2 weeks ago London, England, United Kingdom More ❯

Grow with us. We are looking for a Machine Learning Engineer to work along the end-to-end ML lifecycle, alongside our existing Product & Engineering team. About Trudenty: The Trudenty Trust Network provides personalised consumer fraud risk intelligence for fraud prevention across the commerce and payments ecosystem, starting with first-party and APP fraud prevention. We are at … have proven experience with data science and a track record of implementing fraud prevention, credit scoring or personalization algorithms. Setting up and maintaining real data pipelines to feed your ML models is light work for you, and you would have been as comfortable if this JD was for a data engineer. You have worked in a high growth and fast … data technologies like Apache Hadoop and Apache Spark. Familiarity with real-time data processing frameworks such as Apache Kafka or Flink. MLOps & Deployment: Experience deploying and maintaining large-scale ML inference pipelines into production environments. Proficiency with Docker for containerization and Kubernetes for orchestration. Familiarity with AWS cloud platform (experience with GCP or Azure is a plus). Experience monitoring More ❯

MACHINE LEARNING RESEARCH ENGINEER Salary: £48,330 - £62,835 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University … of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role As a Machine Learning Research Engineer, you will play a pivotal … Optimize and modularize models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritize, and manage own tasks aligned with business objectives. We are also looking More ❯

MACHINE LEARNING RESEARCH ENGINEER Salary: £48,330 - £62,835 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University … of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role As a Machine Learning Research Engineer, you will play a pivotal … Optimise and modularise models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritise, and manage own tasks aligned with business objectives. We are also looking More ❯

and flexible working arrangements - please speak to your recruiter about the options for this particular role. Grade: GG10-GG11 Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Machine Learning (ML) Engineer. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identity where AI/ML-based solutions can add value. You will lead on prototype development and be responsible for designing, implementing, and deploying AI solutions. This cross-functional role requires a strong foundation … in software engineering, statistics, and AI/ML concepts. Due to the fast-paced change in AI/ML, you are expected to be aware of the latest advancements in AI and ML technologies, ensuring that solutions are both innovative and effective. You'll work as part of an empowered, multi-disciplinary AI team who's purpose is to develop More ❯

other non-disability related questions, please reach out to our Talent Partners. Role Depop is looking for a Senior Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain foundational machine learning … to test hypotheses and guide model and product improvements, ensuring statistical rigour and real-world applicability Stay up to date with research, actively contribute to internal knowledge sharing and ML best practices, and help shape the long-term technical strategy for the team Participate in team ceremonies, such as agile cadences, technical whiteboarding sessions, and planning/roadmapping Communicate technical … Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles Ability to lead end-to-end ML projects, work independently in ambiguous problem spaces, and mentor junior team members Strong collaboration and communication skills, with experience aligning technical approaches with cross-functional teams and stakeholders Bonus Points More ❯

other non-disability related questions, please reach out to our Talent Partners. Role Depop is looking for a Senior Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain foundational machine learning … to test hypotheses and guide model and product improvements, ensuring statistical rigour and real-world applicability Stay up to date with research, actively contribute to internal knowledge sharing and ML best practices, and help shape the long-term technical strategy for the team Participate in team ceremonies, such as agile cadences, technical whiteboarding sessions, and planning/roadmapping Communicate technical … Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles Ability to lead end-to-end ML projects, work independently in ambiguous problem spaces, and mentor junior team members Strong collaboration and communication skills, with experience aligning technical approaches with cross-functional teams and stakeholders Bonus Points More ❯

Senior Machine Learning Research Engineer Salary: £62,860 - £84,070 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contracts: 1x Permanent, Full Time (35 hours per week) 1x Fixed Term (18 months), Full Time (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world … leading academic publisher and assessment organisation, and a proud part of the University of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role … deploying machine learning solutions in production environments. Strong track record of successfully translating academic research into real-world applications and products. Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery Deep experience in Python More ❯

Junior Machine Learning Research Engineer Salary: £40,000-£52,000 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time/Permanent (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment. This is an exciting opportunity for two Junior Machine Learning Research … of-the-art research and applying emerging AI techniques Desirable: Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.Industry experience in applying ML to real-world problems. Experience applying machine learning to educational assessment and learning solutions. Hands-on experience with Large Language Models (LLMs) or foundation models, including fine … machine learning or AI/computer science Exposure to research-oriented work or contributions to open-source projects in the AI domain. Internship experience in AI/ML Experience in contributing to patents, or academic papers related to ML. Rewards and Benefits We will support you to be at your best in work and to live well outside More ❯

Senior Machine Learning Scientist - Recommendations page is loaded Senior Machine Learning Scientist - Recommendations Apply remote type Open to Remote locations London, UK time type Full time posted on Posted 22 Days Ago job requisition id JR4885 Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. … Machine Learning Scientist to join our Recommendations team in the UK. As part of the team you will work alongside a Product Manager, Backend Engineers and other ML Scientists playing a key role in building innovative models to power Depop's search engine and ranking across the app. Responsibilities: You will: Research, design and deliver ML solutions to … team player with an ability to work with cross-functional teams, including technical and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS More ❯

Senior Machine Learning Scientist - Recommendations page is loaded Senior Machine Learning Scientist - Recommendations Apply remote type Open to Remote locations London, UK time type Full time posted on Posted 22 Days Ago job requisition id JR4885 Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. … Machine Learning Scientist to join our Recommendations team in the UK. As part of the team you will work alongside a Product Manager, Backend Engineers and other ML Scientists playing a key role in building innovative models to power Depops search engine and ranking across the app. Responsibilities: You will: Research, design and deliver ML solutions to take … team player with an ability to work with cross-functional teams, including technical and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS More ❯

Learning Engineer to support the development of a greenfield compliance platform focused on anti-money laundering (AML) and counter-terrorist financing (CTF). Youll help design scalable ML infrastructure, build real-time monitoring systems, and explore the latest advancements in AI. Your Responsibilities: Contribute to a New ML-Driven Platform : Build advanced AML/CTF transaction monitoring modules … using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate with DevOps to containerise and deploy monitors with automated … testing and evaluation tools. Support ML Ops development to track model health, detect drift/skew, and ensure model reliability in production. Focus on Scalability and Clean Code: Write clear, well-documented, and reusable code in line with engineering best practices. Help architect a scalable and resilient cloud-native platform (Azure) Maintain and improve data pipelines, ensuring data quality and More ❯

in working patterns and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You … model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed ML model scoring code in production services. You'll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine learning solutions. You'll … the wider engineering community. You'll collaborate closely with data scientists, data engineers, architects, and the software development team. You'll liaise with stakeholders across the business to ensure ML is being used to improve strategic business decisions and identify new areas for improvements. You'll adhere to the Group Code of Conduct and Fitness and Propriety policies, Company Policies More ❯

in working patterns and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You … model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed ML model scoring code in production services. You'll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine learning solutions. You'll … the wider engineering community. You'll collaborate closely with data scientists, data engineers, architects, and the software development team. You'll liaise with stakeholders across the business to ensure ML is being used to improve strategic business decisions and identify new areas for improvements. You'll adhere to the Group Code of Conduct and Fitness and Propriety policies, Company Policies More ❯

in working patterns and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You … model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed ML model scoring code in production services. You'll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine learning solutions. You'll … the wider engineering community. You'll collaborate closely with data scientists, data engineers, architects, and the software development team. You'll liaise with stakeholders across the business to ensure ML is being used to improve strategic business decisions and identify new areas for improvements. You'll adhere to the Group Code of Conduct and Fitness and Propriety policies, Company Policies More ❯

home Travel 0-25 % Role type Profession Research, Applied, & Data Sciences Research Sciences Employment type Full-Time Overview We are on the cusp of a new frontier in which machine learning and artificial intelligence are transforming scientific discovery. We seek to drive major advances in sciences with machine learning, with a focus on 'fifth paradigm' scenarios. … large-scale deep learning. We aim to advance this frontier and to drive real-world impact at a global scale. The AI for Science team encompasses multiple disciplines across machine learning, engineering, and the natural sciences and spans several sites in Europe. The field of machine learning has evolved significantly in recent years, with many of … the most impactful contributions coming from larger teams of people collaborating closely on well-defined and challenging goals. Furthermore, AI for Science in particular requires a combination of machine learning, engineering, and natural sciences, which again emphasises the importance of collaboration and teamwork. We are seeking a highly motivated and experienced Sr RSDE with expertise in machine More ❯

Senior Machine Learning Scientist - Search page is loaded Senior Machine Learning Scientist - Search Apply remote type Open to Remote locations London, UK time type Full time posted on Posted 22 Days Ago job requisition id JR4886 Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. … Learning Scientist to join our Search & Ranking team in the UK. As part of the team you will work alongside a Product Manager, Backend Engineers and other ML Scientists playing a key role in building innovative models to power Depop's search engine and ranking across the app. Responsibilities: You will: Research, design and deliver ML solutions to … humble great teammate with an ability to work wimulti-functionalnal teams, including technical and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS More ❯

by continuously training and deploying machine learning models. We aim to make model deployments as easy and error-free as code deployments. Google's Best Practices for ML Engineering is our bible. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under … team is core to Ravelin's success. They work in a deeply collaborative partnership with the Data Engineering team to design the data architecture and infrastructure that powers our ML systems. The Role We are looking for a Senior Machine Learning Engineer to join our Detection team. In this role, you will be setting the technical direction that … bridges data science and engineering. You will be responsible for the architecture, scalability, and reliability of the high-performance ML systems that form the core of our fraud detection platform. Beyond just consuming data, you will take a leading role in defining how data is modeled, stored, and served for machine learning purposes, directly influencing the architecture of More ❯

Senior Machine Learning Scientist - Search page is loaded Senior Machine Learning Scientist - Search Apply remote type Open to Remote locations London, UK time type Full time posted on Posted 22 Days Ago job requisition id JR4886 Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. … Learning Scientist to join our Search & Ranking team in the UK. As part of the team you will work alongside a Product Manager, Backend Engineers and other ML Scientists playing a key role in building innovative models to power Depops search engine and ranking across the app. Responsibilities: You will: Research, design and deliver ML solutions to take … humble great teammate with an ability to work wimulti-functionalnal teams, including technical and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS More ❯

implementing Machine Learning projects over the full lifecycle, from conception to data preparation, model engineering, evaluation and deployment and finally model monitoring and maintenance Establishing and developing ML Ops frameworks and standards for clients and embedding within their infrastructure Working with clients to take them on the journey, upskilling along the way and ensuring they are kept in … the loop and can take ownership after you roll off the project Performing maturity assessments across clients Cloud/AI environments and recommending improvements Building ML strategy blueprints and advising clients on the different technology options Translating business requirements (both functional and non-functional) into solutions, ensuring compliance with the organisations strategy, policies and standards and in some cases, help … customers to define new policies, philosophies and standards Helping clients to identify risks and mitigations for their ML and DS programmes, as well as transition from on-prem to modern cloud-based infrastructures (AWS, Azure, GCP) Working with clients in key areas of ML model governance, such as in defining philosophies including fairness, transparency, interpretability, and accountability Skills Your skills More ❯

Salary: .000 € per year Requirements: Minimum 1 to 2 years of proven experience in ML-Ops, including end-to-end machine learning lifecycle management Familiarity with MLOps tools like MLFlow, Airflow, Kubeflow or custom implemented solutions. Experience designing and managing CI/CD pipelines for machine learning projects with experience in CI/CD tools (e.g. … Github actions, Bitbucket Pipelines) Proficiency in building ML-Pipelines for productive use IaC (Infrastructure as Code) coding experience for provisioning relevant resources locally and in the cloud. Basic ML-knowledge is a plus Strong programming skills in Python Strong verbal and written communication skills in English Responsibilities: As a (Senior) MLOps Engineer, you will play a crucial role in building … models, and ensuring their seamless integration into production systems (embedded and Cloud). Additionally, you will design and implement CI/CD pipelines for machine learning, automate ML operations, and utilize cloud-based solutions, such as AWS with Terraform, to enhance scalability and efficiency. This position requires a proactive individual with a strong foundation in MLOps practices, cloud More ❯

other non-disability related questions, please reach out to our Talent Partners. Role Depop is looking for a dedicated Machine Learning Engineer to join our new Core ML team in the UK. You will work alongside ML Scientists, Backend Engineers, and MLOps to build, deploy, maintain, and monitor machine learning infrastructure, such as product matching pipelines … lightweight classifier deployments, that support multiple product and marketing use cases across Depop. Responsibilities You will: Design and implement pipelines for training, deploying, and monitoring real-time and batch ML models Work closely with ML Scientists to productionise models and improve reliability, latency, and observability Partner with backend and product teams across Depop to define integration requirements and coordinate deployments … of shared ML components Help design and extend the ML platform at Depop in collaboration with the MLOps team, across areas such as: Robust prototyping and training workflows CI/CD for model deployment Real-time and batch model serving Online/offline feature consistency via our feature store Monitoring and alerting Hold high standards for operational excellence, including testing More ❯

a leader in smart energy optimisation and predictive systems . As they continue to expand their AI capabilities, theyre seeking a Machine Learning Engineer to help productionise ML models and deliver real-time insights across their energy analytics platforms. Key Responsibilities: Develop, deploy, and monitor robust ML systems for energy usage prediction and optimisation Work on large-scale … time-series datasets to improve model accuracy and stability Collaborate with Data Scientists and DevOps to build end-to-end ML pipelines Contribute to model governance, MLOps, and performance monitoring frameworks Participate in code reviews, design discussions, and performance tuning Requirements: 3+ years of experience in a Machine Learning Engineer or similar role Proficiency in Python , ML frameworks … TensorFlow, PyTorch), and deployment tools (Docker, MLflow, etc.) Experience building scalable ML pipelines in cloud environments (AWS, GCP or Azure) Familiarity with energy systems, smart metering, or IoT data is a significant bonus Bachelors or Masters degree in Computer Science, Engineering, Machine Learning, or a related discipline Strong problem-solving mindset and ability to work cross-functionally in More ❯

works across a diverse array of sectors including Defence, Telecommunications, Energy and Finance to help secure national infrastructure in the UK and beyond What you will do as a Machine Learning Engineer: This is a highly rewarding and hands on role with exposure across both traditional and cutting edge enterprise IT as well as bespoke Operational Technology systems. … and personable people to help grow our practice and solve some of the most challenging, exciting and critical challenges to the UK's digital landscape. Skills in Python and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer … Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops workflows Work alongside Data Engineers and DevOps Engineers to ensure continuous integration and deployment of machine learning models in production. Proactive learning and researching new technologies and More ❯