AI & software jobs in European defence and technology
Explore AI and software roles across defence, space and emerging technology employers, alongside openings at specialist AI companies. The collection covers both applied engineering and supporting roles within the sector.
Separate model research and training from software integration, data infrastructure and deployment. Check whether the work runs in the cloud, on embedded hardware or in a customer’s environment. The title alone does not establish the level of AI research involved; use the employer’s responsibilities and requirements to assess fit.
In this live collection
1349 vacancies · 83 employers
Most represented functions: Engineering (882) · Business development (88) · Research (83) · Production & operations (42)
Strategic Customer Partnership: Own the success, adoption, and growth of Cohere's French public sector customers, ensuring they realize maximum value from our AI solutions Build deep, trusted relationships with senior French government stakeholders, including Ministres d'État, Préfets, CIOs, digital transformation leads, and ministerial executives Develop comprehensive success plans tailored to each organization's mi
Own the eval strategy for North: define what we need to measure across agent workflows, tool use, enterprise knowledge work such as deep research, document creation or editing, and other human-AI interactions. Build high-quality evals from the realities of the product: user feedback, production failures, privacy-preserving usage logs, internal dogfooding, customer needs, and forward-looking product goals. Create syst
London / San Francisco / New York / Paris / Toronto / Montreal / United Kingdom
Design and oversee data collection tasks, including supporting human annotators and ensuring data quality. Develop and apply statistical methods to evaluate the quality and reliability of datasets. Analyse and assess the generalisability and robustness of ML systems across diverse use cases. Collaborate with teams to improve dataset quality and model performance. Train and fine-tune large language models (LLMs) on di
In this role, you will: Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance Build and shi
London / Europe / New York / Paris / Toronto / United Kingdom
Stay up-to-date with the latest research in code LLMs, agents, and related fields, implementing novel ideas into our systems. Design and implement scalable strategies to train code models, and deploy agent frameworks for inference and sampling. You will be collaborating with the pretraining team, create SFT trajectories and work on existing and new RL algorithms Hillclimb on existing benchmarks and design new ones th
Canada / San Francisco / Europe / London / United States / United Kingdom / Toronto / Montreal
As a Cohere Research Intern, you will: Conduct cutting-edge machine learning research, building and training large language models. Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc. Disseminate your research results through the production of publications, datasets, and code. Contribute to research
Maintain large-scale pipelines for processing web corpora. Work on filtering and quality-scoring systems to identify high-value web documents. Analyze web data composition across domains, languages and time periods. Develop and maintain highly-performant deduplication pipelines. Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge lang
Toronto / San Francisco / Canada / Seattle / London / United States / New York
Create ambitious new evaluation benchmarks that push the limits of what our models can accomplish. Work on highly cross-functional teams to translate model feedback into trustworthy, repeatable evaluations. Conduct research to advance the state-of-the-art in LLM evaluation methods, including training LLM judges; refining LLM-based data synthesis pipelines; and improving evaluation efficiency. Build scalable and reusa
Toronto / San Francisco / London / New York / Paris / Montreal / Canada
Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance. Develop robust data modeling techniques to ensure datasets are structured and formatted for optimal training efficiency. Research and implement innovative data curation methods, leveraging Cohere’s infrastructure to drive advancements in natural language processing. Collaborate with cross-functional teams, in
Define the integration ecosystem strategy for North - roadmap, catalogue priorities, and partner posture - anchored to customer demand and revenue. Own North's integrations end to end, and partner with strategic customers to define transformative, integrations-based workflows. Derive generic, platform-level capabilities (connector framework, auth and identity, tool-use, data sync, permissioning) where they don't yet
Design and write high-performing and scalable software for training models. Develop new tools to support and accelerate research and LLM training. Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.). Research, implement, and experiment with ideas on our cluster and data infrastructure. Collaborate, Collaborate, and Collaborate
Cohere is seeking a Global Public Policy Manager to lead policy engagement on compute infrastructure, export controls, AI competitiveness, and sovereign AI strategies. Governments increasingly view AI as critical national infrastructure and are investing heavily in compute capacity, energy resources, and domestic AI ecosystems. This role will help position Cohere as a trusted partner in emerging discussions around AI
Canada / Dubai / London / United States / United Kingdom
As a Software Engineering Intern, you will: Ship delightful experiences for our user-facing products, meticulously crafting code for browsers or server code. Build features for the API platform that directly impact users. Design and implement robust data pipelines (crawlers, storage, filters). Design and implement scalable services or infrastructure for machine learning development. Build internal tooling (CI/CD, dev
Europe / London / United States / New York / United Kingdom / Toronto / Montreal / European Union
In this role, you will: Build new integrations (tools) on the North agentic platform, and maintain the ones already in production. Own the integration pipeline: the process for adding a new tool, from design to shipping to ongoing maintenance. Help other engineers add integrations of their own, and raise the bar for how the team does it. Create evals and tests to make sure integrations work as expected and alert on r
Proactively research and identify target accounts across region in industries such as finance, technology, manufacturing, healthcare, public sector, etc. using tools like LinkedIn Sales Navigator and CRM platforms to prioritise high-fit prospects. Conduct 40+ outbound calls and personalised emails daily to engage decision-makers (e.g., CTOs, CIOs, and Business Unit leads), focusing on understanding their pain points
We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI. Location: UK Active DV clearance is highly preferred In this role, you will: Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. Partner with enterprise IT teams to assess infrastructure, security requirements, and data man
Paris / San Francisco / London / New York / Toronto / Montreal / France
Design and write high-performant and scalable software for training. Improve our training setup from an infrastructure and codebase performance standpoint. Craft and implement tools to speed up our training cycles and improve the overall efficacy of our training infrastructure Research, implement, and experiment with ideas on our supercompute and data infrastructure. Learn from and work with the best researchers in t
In this role as a founding Solutions Architect for Cohere in the Nordics, you will play an instrumental part in growing Cohere’s business in both the Nordics territory and the wider European region. You will partner with account executives, partners, and our executive leadership team to communicate and demonstrate the value of our technology to the market, and build on the success of our flagship customers, like Saab
London / New York / Paris / Toronto / Montreal / United Kingdom
Lead the design and implementation of scalable solutions to improve multilingual LLM performance across a wide variety of skills – if we need it to make a great multilingual model, you can build it! Is perfect for someone passionate about languages and AI, with a keen eye for detail and strong technical skills. Offers the opportunity to contribute to cutting-edge language technology, making a global impact. Requires
London / San Francisco / New York / Paris / Toronto / Montreal / United Kingdom
Build and own the training framework responsible for large-scale LLM training. Design distributed training abstractions (data/tensor/pipeline parallelism, FSDP/ZeRO strategies, memory management, checkpointing). Improve training throughput and stability on multi-node clusters (e.g., GB200/300, AMD, H200/100). Develop and maintain tooling for monitoring, logging, debugging, and developer ergonomics. Collaborate closel
London / New York / Paris / Toronto / Montreal / United Kingdom
Design and write high-performant and scalable software for training. Understand architectural modifications and design choices and their effects on training throughput and quality. Write low-level CUDA, triton kernels to squeeze every last bit of performance from our accelerators. Research, implement, and experiment with ideas on our supercompute and data infrastructure. Learn from and work with the best researchers
There are many open problems in this space. As a Member of Technical Staff, RL Environments, you will: Build new RL environments targeting different agentic capabilities and industry areas Train and evaluate agents in those environments Make all the pieces work together: tasks, data, tool implementations, and verifiers Work across modeling and product to identify gaps in agent performance, and improve both the agents
Paris / London / New York / Toronto / Montreal / France
Design and write high-performing and scalable software for training models. Develop new tools to support and accelerate research and LLM training. Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem. Craft and implement techniques to improve performance and speed up our
Customer Program Leadership: Own end-to-end technical program delivery for French and broader European public sector and defence customers, from initial deployment through production scaling Serve as the primary technical program point of contact for customers, building trusted relationships with departmental CIOs, IT directors, and technical teams Translate complex public sector and defence requirements (security, c
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