Founding Research Scientist Location: London (exceptional candidates considered remote) Compensation: £200k-£500k base + 3-6% equity About the company A stealth-stage AI startup founded by an exceptional researcher, with a major funding round on the horizon. Details are shared in confidence during the conversation. About the role This is a founding hire. You’ll independently drive research, develop original ideas and take them from initial hypothesis to meaningful outcomes. You’ll help shape the research direction from day one. What you’ll do Lead and own research projects end to end Develop original ideas and turn them into tangible results Help set the research agenda and priorities for the company Work closely with the founding team to shape what gets built What we’re looking for Deep expertise in at least one of the following areas: LLM post-training and evaluation Learning from human and AI feedback Personalisation and recommender systems Adjacent areas are welcome Alongside that, you’ll have: A PhD in a related field A strong research track record Experience in a top research environment at the frontier, ideally Staff level or above What’s on offer £200k-£500k base salary, depending on experience 3-6% equity, offering genuine founding-level ownership The chance to shape a company’s research direction from the start Backing from a world-class advisory network

Machine Learning & Cloud Infra Engineer London (On-site) | Full time About the Company Our client is an early-stage AI company building generative models that learn the physics and geometry of the real world in 3D, rather than working from flat images. The work is aimed at use cases in robotics, AR/VR, gaming, and film. The team is small, and researchers and engineers work closely together on both the models and the systems that take them into products. About the Role This role owns the infrastructure behind the company’s training and evaluation of large diffusion-based generative models. That covers GPU clusters, storage, orchestration, and the path to model serving. It is hands-on and systems-focused. You will work directly with the researchers who use what you build, so priorities come from real training problems rather than a roadmap handed down to you. What You’ll Do Own and evolve the ML and cloud infrastructure used to train and evaluate large models Provision, scale, and maintain multi-node, multi-GPU environments on cloud and/or on-prem, including scheduling, quotas, and capacity planning Support distributed training (PyTorch DDP/FSDP, NCCL) and keep large runs stable, performant, and reproducible Build and optimize storage and networking for petabyte-scale datasets Deploy workloads with Docker and Kubernetes, and manage infrastructure-as-code with Terraform Set up monitoring, logging, and alerting for cluster health, job performance, and cost, and define SLOs and incident response practices Manage secrets, IAM, and network security across research and production Work with researchers to unblock training and support the move from research to served models What We’re Looking For 3+ years in infrastructure, platform, or cloud engineering Hands-on GPU performance debugging (CUDA/NCCL concepts, utilization, network bottlenecks, profiling) Strong experience running AWS, GCP, or Azure, including networking, IAM, and cost management Proficiency with Docker, Kubernetes, and Terraform Strong scripting and automation skills in Python plus Bash or PowerShell Familiarity with distributed training in PyTorch (DDP/FSDP or similar) Experience with observability tooling such as Prometheus/Grafana, OpenTelemetry, or ELK Experience building CI/CD for infrastructure and ML workflows Nice to Have Prior ML infrastructure experience supporting large-scale training Experience running on-prem GPU clusters alongside cloud capacity Experience with model evaluation and serving infrastructure Experience running on-call and incident response Why Join Ownership. You will be responsible for the infrastructure behind a research program, not one corner of a larger platform. Scale. Multi-node GPU training and petabyte-scale datasets are part of the daily work. Proximity to research. You will work alongside the people who depend on your systems. Influence. In a small team, your views on tooling and architecture carry weight. What to Expect This is an on-site role in London or Munich. Expect to work across the stack, from cluster operations to developer tooling, and to share responsibility for reliability. If this sounds relevant, get in touch for a confidential conversation.

Staff Robot Learning Engineer | Germany | Hybrid | Full-time You’ve already trained and deployed learning-based policies on real robots. Now you can help bring the next generation of humanoid robotics into the real world. You’ll join an ambitious robotics company developing general-purpose humanoids, building robot-learning systems that work beyond the simulator. You’ll train and improve policies, develop data pipelines, run experiments on physical hardware and tackle the challenges of reliable sim-to-real transfer. This is a hands-on engineering role for someone who combines strong machine-learning fundamentals with practical robotics experience. You’ll work across imitation learning, reinforcement learning and emerging vision-language-action models, helping turn promising approaches into robust robotic capabilities. You’ll need: Hands-on experience training robot policies using reinforcement learning, imitation learning or learning from demonstration. Proven experience deploying learned policies on physical robots. Strong Python and PyTorch skills, with good C++. Experience with robot data collection, simulation and sim-to-real transfer. A solid understanding of robot control, action representations and closed-loop policy execution. Experience with humanoid manipulation, teleoperation, diffusion policies, vision-language-action models or real-time action chunking would be a strong advantage. If you want to turn advances in robot learning into capable, reliable humanoid robots, let’s chat!

Tech Lead – Data Platform12-month contract | Fully RemoteWe are working with an early-stage technology company building a data-intensive B2B SaaS product for enterprise customers.The platform combines large-scale data pipelines, analytical and modelling capabilities, and a modern web application. The engineering team is small, highly technical and moving quickly as the product scales.We are looking for a hands-on Tech Lead to take ownership of the technical direction, architecture and engineering delivery across the platform.What you'll doOwn the technical architecture across data, backend and product.Lead a small engineering team across delivery, priorities and technical direction.Translate product requirements into practical technical plans.Remain hands-on, writing and reviewing production code.Establish strong engineering practices around testing, releases, observability and security.Work with enterprise customers on technical and security requirements.Help shape the product and technology roadmap.Must-haveSignificant hands-on engineering experience as a Tech Lead, Founding Engineer, Staff Engineer or similar.Proven experience building and taking a data-driven product from prototype into production.Strong experience with data platforms, production pipelines and cloud data warehouses.Strong B2B SaaS architecture experience, including multi-tenancy, security and data protection.Strong TypeScript and React/Next.js experience.Experience working in a fast-moving startup or scale-up environment.Entrepreneurial mindset with the ability to operate independently and comfortably with ambiguity.Strong software engineering practices and experience using AI-assisted development tools.Nice to haveExperience working in an early-stage startup through Series A or similar growth stage.Snowflake or equivalent cloud data warehouse experience.Experience with complex operational or event-based data.Process mining, simulation or Operations Research experience.Experience building analytical or data-intensive B2B products.Experience working with production AI/LLM features.

Senior Data Scientist / ML Engineer – Simulation12-month contract | Fully RemoteWe are working with an innovative technology business developing a digital twin platform for complex organisations.The platform uses real-world operational data and event logs to simulate how organisations operate, allowing businesses to quantify the impact of operational changes before they are made.We are looking for a Senior Data Scientist / ML Engineer to own the simulation and statistical modelling layer of the platform.What you'll doDesign and develop discrete-event and process simulation models in Python.Develop statistical and ML methods to fit and calibrate models against real operational data.Use event logs and timestamp data to infer processes, routing, capacity and durations.Design simulations and experiments to quantify operational changes.Build production-quality, reusable modelling systems.Work closely with data engineering and product teams.Communicate complex modelling outputs clearly to non-technical stakeholders.Must-haveStrong Data Science / ML Engineering experience with production-grade Python.Hands-on experience with process or discrete-event simulation, stochastic modelling or Operations Research.Strong statistical modelling skills, including estimation, calibration and validation.Experience working with real-world operational, event-log or timestamp data.Strong Python scientific stack: NumPy, SciPy and pandas.Good software engineering practices, including Git, testing and reproducible development.Nice to haveExperience in complex operational environments such as:Aviation / airportsLogistics / supply chainTransportationManufacturingHealthcareFinancial or professional servicesConsultingExperience with process mining, queueing theory, Monte Carlo simulation, survival analysis or agent-based simulation would also be valuable.We're particularly interested in candidates who have taken messy operational data, reconstructed how a real-world process works and built a quantitative model that can be used to support business decisions.

AI Low-Code Developer (Microsoft Power Platform)- 3-Month Freelance Contract - likely to extend - Fully Remote (Europe-Based Candidates Only)We're supporting a client on an exciting AI transformation programme and are looking for an experienced AI Low-Code Developer to join the team on an initial 3-month contract.Key ResponsibilitiesDevelop AI-powered business applications using Microsoft Power Platform.Build intelligent solutions with Power Apps, Power Automate and Dataverse.Integrate Microsoft Copilot, Copilot Studio and AI Hub capabilities into business applications.Apply prompt engineering to optimise AI-driven workflows and user experiences.Translate business requirements into scalable low-code solutions.Collaborate with technical and business stakeholders to deliver high-quality solutions.Essential SkillsStrong commercial experience with Microsoft Power Platform.Proven hands-on experience with Microsoft Copilot.Proven hands-on experience with Copilot Studio.Proven hands-on experience with AI Hub.Experience with Power Apps, Power Automate and Dataverse.Strong understanding of prompt engineering and AI-assisted automation.Experience working with Azure DevOps or similar delivery practices.Excellent communication and stakeholder management skills.DesirableKnowledge of Power Platform governance and security.Microsoft Power Platform certifications (PL-900, PL-100, PL-200, PL-400).This is a fully remote freelance contract. Candidates must be based in Europe and available to start at short notice.

Chief Research Scientist ? East Bay, California | Hybrid We’re partnering with a major global technology organisation to appoint a Chief Research Scientist, focused on identifying what’s next in AI and translating frontier research into technologies with significant real-world impact. This is a rare opportunity to explore frontier AI research with the resources and scale to turn emerging ideas into technology used across some of the world's most complex environments. This is not a traditional AI delivery or engineering leadership role. We’re looking for a recognised AI research leader who operates ahead of the curve — someone who can anticipate where the field is heading over the next 6–12 months, investigate emerging research directions, rapidly test new ideas, and determine which technologies are worth pursuing before they become mainstream. The opportunity You’ll operate at the intersection of frontier AI research, experimentation and technology strategy, with the scope to explore emerging capabilities and influence where a global organisation invests next. You will: Identify emerging AI research, models and architectures with significant future potential. Rapidly prototype and experiment with new approaches to understand what works beyond the research paper. Determine which emerging technologies warrant deeper investment and development. Take promising research concepts from early exploration towards real-world application. Influence long-term AI strategy alongside senior technical and business leadership. Build and mentor a team of exceptional AI researchers and technologists. Develop an external presence within the AI research community through conferences, publications and thought leadership. Who we're looking for This role requires a frontier AI research profile rather than a standard applied AI delivery background. You may currently be working within a leading research lab, frontier AI company, advanced R&D organisation or highly research-driven technology environment. We’re particularly interested in: 10+ years across AI/ML research, advanced R&D or emerging technology. PhD-level research depth or equivalent industry experience. A strong record of publications, patents, conference contributions or recognised technical thought leadership. Deep expertise across foundation models, LLMs and emerging AI architectures. The ability to spot important research trends early and translate them into experiments and prototypes. Experience taking advanced AI beyond theory and into complex, real-world environments. The technical credibility to engage with leading researchers alongside the communication skills to influence executive leadership. Experience building, mentoring or leading high-calibre research teams. This is for someone who doesn't just want to work with today's AI capabilities, but wants to help determine what comes next. ? Get in touch for a confidential conversation.

Huawei's Munich Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.   In the Automotive Engineering Laboratory, we are now looking for a: Chief Engineer - Vehicle Dynamics Controls (m/f/d) We are seeking a Chief Engineer in Intelligent Vehicle Dynamics to enhance driving safety, stability, and overall vehicle performance. The ideal candidate will possess over 15 years of experience in leading technical teams, along with a deep expertise in vehicle dynamics—including advanced control architectures utilizing modern x-by-wire systems and next-generation sensors. The team focuses on emerging technology trends and architectures within intelligent vehicle dynamics. In this multidisciplinary role, you will collaborate closely with our global research and development community   Your mission Lead research and development projects focusing on advanced control architectures (e.g., collaborative, domain, and AI control), new x-by-wire actuators, and novel sensors to continuously enhance the core competitiveness of autonomous and electric vehicles. Generate insights into new vehicle and chassis hardware/software technologies, author reports on the current industry state and trends, and develop mid-to-long-term technology roadmaps. Build academic and industry cooperation within Europe and fully leverage the advantages of the vehicle dynamics expertise in the German automotive industry. Work with HQ executives to drive the vehicle performance strategy, strengthening and highlighting the importance of intelligent vehicle control across the organization. Be responsible for daily team management, including employees' long-term development, team building, and project management.     Your profile A Master’s or higher degree in Automotive Engineering, Control Systems, or a related field, with a specialization in vehicle dynamics or control theory. 15+ years of experience in developing control systems for vehicle dynamics or related automotive systems. A proven track record of technical leadership and engineering management, with a history of successful delivery and launched programs. Excellent communication and management skills, with a demonstrated ability to deliver on commitments under pressure and tight deadlines. A team player who thrives in an international environment. Fluent communication skills in English are essential. Willingness and availability to travel to China (approximately 20% of the time).   By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy here.   Your rewards of working here Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network. We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen. To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin. Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities. Self-responsible work in a competent, motivated and constantly growing team.   Please send your application and CV (incl. cover letter and reference letters) in English. Huawei is a leading global information and communications technology (ICT) solutions provider. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 208,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.