18 of 18 Remote Research Engineer Jobs in London

Join to apply for the Research Engineer, Machine Learning role at Mistral AI Continue with Google Continue with Google Join to apply for the Research Engineer, Machine Learning role at Mistral AI About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology … to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on Role Summary About The Research Engineering Team The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the researchproduction spectrum as needs or interests evolve. … As a Research Engineer ML track, youll build and optimise the large-scale learning systems that power our open-weight models. Working hand-in-hand with Research Scientists, youll either join: Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or Embedded RE Team: Sit inside a research More ❯

Security Research Engineer - Threat Protection The Role As a Security Research Engineer at Mimecast, you will be a pivotal technical expert dedicated to researching, analyzing, and developing detections for both malware and phishing threats. Your work will involve dissecting real-world file and web threats, building and optimizing detection signatures, and driving improvements to our advanced … our customers and internal teams. Why Join Our Team? At Mimecast, you will be at the forefront of neutralizing diverse phishing and malware threats through comprehensive file analysis and research across web vectors. You will dissect attacker tactics, techniques, and procedures (TTPs), crafting and optimizing detection signatures using industry-standard tools like Yara and ClamAV, as well as Mimecast More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropics mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial … AI systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring reinforcement learning … machine learning, reinforcement learning, or high performance computing Have experience with virtualization and sandboxed code execution environments Have experience with Kubernetes Have contributed to open-source projects or published research papers in relevant fields Candidates need not have: Formal certifications or education credentials Experience with LLMs or machine learning research before Deadline to apply: None. Applications will be More ❯

Threat Research Engineer - Threat Protection The Role As a Threat Research Engineer , you will be a key player in defending our customers against a wide array of email-borne threats, with a primary focus on utilizing and enhancing our anti-spam engines and rule-based detection systems. You will be hunting for threats like phishing, business … emerging email threats, dissecting attacker TTPs and crafting robust detection rules. This is a unique opportunity to leverage vast real-world data and advanced anti-spam engines, transforming your research into tangible protection for millions of users globally. If you're driven to understand and neutralize the latest email attack vectors, Mimecast offers a dynamic environment where your work More ❯

Software Engineer, Research - Human Data OpenAI Careers Software Engineer, Research - Human Data Human Data - San Francisco and London, UK Apply now (opens in a new window) About the Team OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. A key part of achieving that mission is training models that deeply … In this role, you will: Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines, while maintaining high levels of security. Translate experimental alignment research into scalable production infrastructure, including inference and model training stacks. Design and iterate on user-facing tools and backend services to support high-quality data workflows Partner with researchers … engineers, and program leads to shape feedback loops and model interaction paradigms Drive infrastructure improvements that enable faster iteration and scaling across OpenAI's frontier models, from internal research tooling all the way to production ChatGPT. You might thrive in this role if you: Have strong software engineering fundamentals and experience building production systems at scale Enjoy full-stack More ❯

the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. Join us to be a part of the AI revolution! As a Research Engineer you'll be a part of the BioAI department, in collaboration with research engineers and computational geneticists from the BioAI team. You will be contributing to … the development of new approaches in; cancer genomics research with deep learning; and possible downstream related domains, by applying your technical, analytical and research skills. You will understand the underlying bioinformatics tools and follow the latest developments in machine learning at scale to identify the right technologies and set the directions to solve the problems, improve the existing … proof of concepts, and ensure continuous improvement and maintenance for validated solutions. You will also be responsible for writing high-quality, maintainable, well-documented, and modular software libraries. The Research Engineer, Deep Learning for Cancer Genomics, must accomplish the following: Create momentum around new initiatives and reinforce the technical direction for solving hard technical problems. Become a go More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropics mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial … AI systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring reinforcement learning … code environments. Experience with Kubernetes. Contributed to open-source projects or published relevant research. Candidates need not have: Formal certifications or educational credentials. Experience with LLMs or machine learning research prior. Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: Logistics Education requirements: Bachelors degree in a related More ❯

We're working on v0.dev, a cutting-edge generative design tool that turns natural language into functional, beautiful React components using Tailwind CSS, leveraging large language models and novel research in human-AI collaboration. If you're based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office … Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: As a Research Engineer, you'll sit at the intersection of machine learning, product development, and frontend engineering. You'll work closely with product designers, ML scientists, and full-stack engineers … building and fine-tuning internal tools, datasets, and evaluation pipelines. Running A/B tests and user experiments to validate hypotheses and improve generation quality. Bridging the gap between research and production-bringing cutting-edge techniques into a stable and scalable environment. About You: We're seeking a creative and practical thinker who thrives in ambiguity, loves building with More ❯

Job Title: Data Engineer/Software Engineer - AI/ML Research Location: London- UK (Hybrid role) Duration: Contract- Until Dec 25 with a possible extension About the Role We are seeking a Data Engineer/Software Engineer to support a pioneering project focused on LLM agents for research . You will play a key … role in onboarding and filtering text, image, and video datasets used by our client’s research teams. The goal is to proactively mitigate risks associated with these datasets through effective engineering and automation. This position offers the opportunity to work 100% on an AI-driven project, collaborating with researchers to build tools that allow intelligent agents to manage and … practices. Preferred Skills Experience using client-specific data pipelines or filtering frameworks. Knowledge of machine learning concepts. Exposure to front-end technologies like JavaScript is a plus. Background in research or AI/ML project environments is beneficial. More ❯

shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on . Role Summary We are seeking a talented and experienced software engineer to join our Research Platform team. You'll work closely with the research and infrastructure team to improve the stability, scalability and velocity across the research … will be involved in creating and maintaining internal tools, empowering researchers to make out the most of high performance clusters, building and scaling a future proof CI. Reporting line: Research Engineering Lead Location: What you will do As a Platform Engineer, your responsibilities will include (but may not be limited to): • Designing and implementing complex systems (e.g. scale … our research CI with a strong focus toward reliability, reproducibility and speed)s • Building flexible yet solid and accessible development environment for researchers, so they can focus on core mission. • Designing, implementing and advocating for solutions addressing large amounts of data and maintainable data pipelines. • Optimizing a variety of builds: container images, large libraries compilation times, python environments • Building More ❯

We are hiring a Staff Engineer to act as a Tech Lead in our new Research Enablement squad. This squad has been set up to further empower researchers to uncover novel and impactful health insights using the Our Future Health resource through the provisioning of tooling and resources necessary for efficient health research. Our Future Health has a … unique dataset - we have to ensure it can be used! This squad works closely with our partner DNAnexus who provides the core of our "Trusted Research Environment" (the web-based application through which approved researches access the Our Future Health dataset). As the Tech Lead you will play a key role in the collaboration on work with the … DNAnexus team. You'll lead the development/integration of products and services built internally. About Us Our Future Health will be the UK's largest ever health research programme, bringing people together to develop new ways to detect, prevent and treat diseases. We are a charity, supported by the UK Government in partnership with charities and industry. We More ❯

text, images, and audio. We expect you to have deep expertise in large language model architectures and substantial experience in fine-tuning optimization. You will adopt a hands-on, research-driven approach to developing, testing, and implementing new fine-tuning techniques and algorithms. Your responsibilities include curating specialized data, strengthening baseline performance, and identifying as well as resolving bottlenecks … with practical experience in developing fine-tuning pipelines, continuously adapting models to new data, and deploying these refined models in production on target platforms. Demonstrated ability to apply empirical research to overcome fine-tuning bottlenecks. You should be comfortable designing evaluation frameworks and iterating on algorithmic improvements to continuously push the boundaries of fine-tuned AI performance. More ❯

efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in LLM architectures, a strong grasp of pre-training optimization with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks More ❯

in search of the best people to join our ever-growing talented team. We're spinning up a brand-new AI department and need a first-on-the-ground engineer who can turn wild LLM ideas into working demos overnight, teach everyone around you why automation matters, and have fun doing it. If you can ship Python or TypeScript More ❯

behind this journey Within the Infrastructure Operations and Security (IOPS) department, our data center unit manages all infrastructure systems across our remote sites. As a key member of the Research Infrastructure Operations (RIO) team, you will architect, design and operate our High-Performance Computing (HPC) infrastructure, making a fundamental contribution to our AI development. You will work hands-on More ❯

applications for endoscopic procedures to aid clinicians in the detection and diagnosis of disease, supporting higher quality care, improved patient outcomes, and better value for healthcare payers. As a Research Scientist at Odin Vision, you will implement and maintain state-of-the-art industry practices for efficient and reproducible machine learning processes. You will work alongside researchers and engineering … fast-paced, dynamic environment. You should have a passion for technology, healthcare, and improving the lives of others. This position is offered on a permanentbasis. What you'll do: Research and develop new AI technologies capable of positively impacting performance and efficiency Improving ML processes, such as experiment tracking, data versioning, model versioning Analytical techniques for extracting insight from More ❯

We are hiring a Software Engineer to join our Researcher Acquisition squad. This is a cross-functional squad, focused on our community of world class health researchers. Working closely with the OFH access team, we provide Researchers with various tools, content and support to join the OFH mission and run studies of good quality in our trusted research … are full-stack, handling frontend, backend and infrastructure in a total ownership model - squads build and run it. Our Future Health will be the UK's largest ever health research programme, bringing people together to develop new ways to detect, prevent and treat diseases. We are a charity, supported by the UK Government in partnership with charities and industry. More ❯

Vacancy for Research Data Engineers at NPL 6 July 2021 Locations: Glasgow & Teddington NPL is the UK's National Measurement Institute, providing measurement expertise that underpins UK prosperity and quality of life. We are a world-leading research facility, bringing together scientists and engineers from various fields to help save lives, protect the environment, and support global trade … development into scientific data management to drive NPL's Scientific Digital Transformation. Working alongside leading scientists at NPL and our partners in academia and industry, you will help advance research by creating optimal data infrastructures across various projects. You will work across the entire data pipeline, from configuring data sources to integrating analytical tools. Responsibilities include developing data architectures … manufacturing Creating data structures and storage architectures for advanced materials Defining data quality metrics for medical datasets used in machine learning Building information models to represent scientific experiments Improving research data processing through automation, scalability, and infrastructure redesign The NPL Data Science Team, comprising around 30 members across Teddington, Cambridge, and Glasgow, is currently working remotely due to COVID More ❯