Senior Robotics Manipulation EngineerSalary: up to £125,000Location: Bristol or CambridgeThe Companies Long Term Vision: Turn AI Robotics on its head.About Us:Join a business at is at the forefront of AI Robotics, developing cutting-edge solutions to revolutionize the industry. We are building a groundbreaking simulation platform designed for mass-scale simulations of robotic systems. By seamlessly transferring data from CPUs to GPUs without any delay, it will enable significantly faster and more cost-effective robot training.The Challenge:Traditional robot training methods rely heavily on CPUs, resulting in exorbitant costs and lengthy training times. Our goal is to surpass even the performance of leading simulators like Nvidia's, achieving a 100x speed improvement in training. This requires a deep understanding of robotics, control theory, and high-performance computing.As a Senior Robotics Control Engineer, you will:Contribute to the development of both our Robot Simulation Framework and AI Robotic Infrastructure.Develop control algorithms that effectively translate simulated environments to real-world robot behavior.Enhance the efficiency of machine learning models through techniques like quantization, pruning, and other optimization methods.Harness the power of GPUs through CUDA, Python, or Jax to accelerate simulations and training processes.Qualifications:Solid understanding of control theory, with a focus on manipulation and locomotion tasks.Proficiency in Python/C++ and deep learning frameworks like PyTorch.Extensive experience with GPU programming, including CUDA and GPU-accelerated libraries.Experience with robotics simulation frameworks (e.g., OpenAI Gym) is a plus.Experience working with physical robots is beneficial.Thrives in a fast-paced, dynamic environment and possesses the ability to contribute to all stages of product development.If you want to join a company that is pushing the boundaries of AI Robotics. Apply today!

Senior Robotics Manipulation EngineerSalary: up to £125,000Location: Bristol or CambridgeThe Companies Long Term Vision: Turn AI Robotics on its head.About Us:Join a business at is at the forefront of AI Robotics, developing cutting-edge solutions to revolutionize the industry. We are building a groundbreaking simulation platform designed for mass-scale simulations of robotic systems. By seamlessly transferring data from CPUs to GPUs without any delay, it will enable significantly faster and more cost-effective robot training.The Challenge:Traditional robot training methods rely heavily on CPUs, resulting in exorbitant costs and lengthy training times. Our goal is to surpass even the performance of leading simulators like Nvidia's, achieving a 100x speed improvement in training. This requires a deep understanding of robotics, control theory, and high-performance computing.As a Senior Robotics Control Engineer, you will:Contribute to the development of both our Robot Simulation Framework and AI Robotic Infrastructure.Develop control algorithms that effectively translate simulated environments to real-world robot behavior.Enhance the efficiency of machine learning models through techniques like quantization, pruning, and other optimization methods.Harness the power of GPUs through CUDA, Python, or Jax to accelerate simulations and training processes.Qualifications:Solid understanding of control theory, with a focus on manipulation and locomotion tasks.Proficiency in Python/C++ and deep learning frameworks like PyTorch.Extensive experience with GPU programming, including CUDA and GPU-accelerated libraries.Experience with robotics simulation frameworks (e.g., OpenAI Gym) is a plus.Experience working with physical robots is beneficial.Thrives in a fast-paced, dynamic environment and possesses the ability to contribute to all stages of product development.If you want to join a company that is pushing the boundaries of AI Robotics. Apply today!

Our client is  at the forefront of medical AI innovation, developing cutting-edge solutions to streamline clinical workflows. Their technology empowers healthcare professionals to focus on patient care by reducing administrative burdens. 🏥💡💻 About the RoleWe’re seeking a passionate LLM Engineer with expertise in NLP, machine learning, and AI to shape the future of medical AI. If you have experience in training large language models, handling medical data, and building scalable MLOps pipelines, we’d love to hear from you!🔧 Key ResponsibilitiesDevelop and train large language models using techniques like supervised and reinforcement learning.Build and enhance NLP systems for tasks such as information retrieval, classification, and named entity recognition.Advance LLMOps processes, including data labeling, engineering, training, and evaluation.Contribute to research in BioNLP and reducing hallucinations in language models.Write and maintain code in cloud environments using tools like Git, Docker, and programming frameworks.🎯 What You BringDeep understanding of LLMs and specialized NLP systems.Proven ability to process and analyze clinical data.Strong skills in Python, C++, cloud technologies, and GPU-based computing.Proficiency with frameworks like PyTorch, TensorFlow, JAX, and tools such as Hugging Face and SpaCy.Excellent communication skills in German, English, and an additional language.A background in scientific research, especially related to LLMs.Location: Based in EU or Switzerland (Occasional Travel to Office in Zurich Required) Langauges: GERMAN (REQUIRED) If you're interested, feel free to apply to this AD with your most up to date CV!

Deep Learning Researcher (Speech)€150,000 - €200,000 & Fully RemoteOur client are at the forefront of innovation in generative AI, enabling creators to build transformative, voice-centered experiences. Their platform empowers users to deliver dynamic applications while maintaining the natural and human-like qualities of speech.We’re looking for a Deep Learning Researcher (Speech) to join a forward-thinking team, driving research and development in voice AI. You’ll work with the latest tools and technologies, such as PyTorch, to push the boundaries of machine learning and voice synthesis. This role offers the opportunity to contribute to pioneering advancements and shape the future of AI-driven experiences.ResponsibilitiesConduct advanced research in deep learning techniques, focusing on generative models, transformers, and diffusion methods.Design and implement sophisticated machine learning models using PyTorch, emphasizing voice synthesis and transformation.Collaborate with multidisciplinary teams to create novel solutions and improve AI-driven products.Stay informed on advancements in machine learning and voice AI, integrating new findings into projects.Analyze data to refine models and achieve optimal outcomes.Contribute to the research community through publications and conference participation.RequirementsExpertise in machine learning techniques, including GANs, LLMs, and diffusion modeling.Extensive experience building and training models with PyTorch.Strong knowledge of machine learning fundamentals, including neural networks, RNNs, and CNNs.Proficiency in Python and relevant libraries.Analytical mindset and problem-solving skills.Strong communication and collaboration abilities.Preferred QualificationsBackground in computer science, engineering, or related fields with a focus on AI.Experience in NLP and voice-related applications.Familiarity with frameworks like TensorFlow or Keras.A record of published research or conference participation in AI.Knowledge of cloud computing platforms and distributed systems.

Our client is transforming document-heavy industries, starting with real estate in the UK and US. Their AI assistant simplifies complex tasks, extracts valuable insights, and empowers professionals to focus on what matters most. 🚀As an early-stage, London-based startup backed by leading investors, we’re tackling real-world challenges like climate change and affordable housing with innovative AI solutions. 🌍💡 The RoleWe’re looking for an AI Staff Engineer to help push the boundaries of generative AI systems. This is your chance to build robust, scalable solutions that delight enterprise customers and shape the future of real estate technology.As part of our engineering team, you’ll:Architect and implement advanced AI solutions (e.g., data extraction, workflow automation, and content generation).Collaborate with commercial teams and customers to refine and deliver impactful features.Stay ahead of AI advancements, ensuring our platform leverages the latest innovations.Foster data privacy and security by design. 🔐💻 About YouYou’re a motivated, adaptable engineer with strong technical and entrepreneurial skills. You bring:Experience in high-growth startups or fast-paced tech environments.Expertise in Python and familiarity with LLM libraries (e.g., LangChain).A proven track record of owning end-to-end product development.Excellent communication skills to collaborate across teams and with customers.✨ Bonus Points for:Knowledge of real estate, law, or finance.Experience with MLOps and CI/CD for AI systems.Open-source contributions or research publications.📈 Join us if you’re ambitious, resilient, and ready to make an impact in a supportive and fast-paced environment.

Our client, an innovative GenAI start-up, is on a mission to transform document-heavy industries. They’re looking for a Solutions Engineer with a deep passion for AI and a knack for solving real-world problems to join their dynamic team.Why You Should Consider This Role:• 🌍 Location: London-based with the flexibility of hybrid working.• 🚀 Innovation: Work with cutting-edge AI technologies and contribute to groundbreaking projects.• 🧠 Growth: Be a part of a startup where you can wear many hats and grow alongside the business.Your Role:• 🤖 AI Expertise: Utilize your deep knowledge of prompt engineering and GenAI models to design custom solutions for enterprise clients.• 💡 Innovation: Collaborate with sales and engineering teams to develop proof of concepts and tailor solutions that address customer pain points.• 📄 Document Mastery: Implement workflows that transform how our clients manage and extract value from millions of pages of documents.• 👥 Customer Engagement: Work directly with customers, understanding their workflows, providing technical support, and refining their system setup.• 🚀 Leadership: Share your expertise and insights with the team, helping drive the company’s innovation and success.On a Day to Day Basis, you willLead the technical discovery process and design tailored generative AI solutions for enterprise clients, ensuring complex requirements are addressed with innovative approaches.Develop proof-of-concept implementations that demonstrate the comprehensive capabilities of the platform.Design and deploy customized solutions leveraging the generative AI platform, such as:Extracting large-scale data from legal documents.Automating workflows for planning and development analyses.Creating multi-step content generation pipelines for market research and reporting.Collaborate with the sales team to identify technical needs, create engaging demos, and define solution scopes.Provide hands-on support during implementation, offering customers expert guidance and best practices.Work closely with the engineering team to develop tools that enhance customer success and streamline workflows.Develop a deep understanding of clients' industries and processes, positioning yourself as their trusted technical advisor.What They’re Looking For:• 🎯 Experience: Hands-on experience rolling out GenAI products in businesses, ideally within a high-growth startup environment.• 🧩 Attention to Detail: A meticulous approach to solving document-heavy problems.• 💬 Communication: The ability to convey complex technical concepts to non-technical audiences.• 💻 Bonus Skills: Experience in real estate, law, or finance, proficiency in Python, and familiarity with LLM libraries.

Job Opportunity: Senior Data ScientistAre you passionate about making a meaningful impact through data? We are working with a renowned financial services organization that’s committed to transforming the industry through innovative data-driven solutions. This organization, founded over 80 years ago, is dedicated to helping individuals, families, and businesses reach their financial goals by putting people first. Their core values—Integrity, Collaboration, Accountability, Agility, Respect, and Excellence—define not only the way they do business but also how they treat their employees. If you're ready to join a team that combines purpose, growth opportunities, and cutting-edge projects, this could be the perfect fit for you.Role Overview: Senior Data ScientistIn this high-impact leadership role, you will collaborate across product, sales, marketing, and executive teams to leverage data insights that drive strategic business solutions. You’ll analyze vast datasets to uncover trends, optimize processes, and create predictive models that inform decision-making across the organization. If you have a background in data science and are ready to elevate the company’s capabilities through advanced analytics, innovation, and practical AI applications, we’d love to hear from you.Key Responsibilities:Collaborate with internal teams to identify and prioritize opportunities for leveraging data in product development, marketing strategies, and business processes.Extract and interpret data to create actionable insights that drive business growth and customer engagement.Evaluate the accuracy of new data sources and data collection methods.Develop and deploy custom algorithms and predictive models to optimize customer experience, boost revenue, and refine ad targeting.Establish and refine an A/B testing framework to evaluate model performance.Coordinate with cross-functional teams to implement models and track their outcomes in real-time.Design tools and processes to monitor data accuracy and model effectiveness.Skills and Qualifications:Experience: 4-7 years in data science, with a strong record of driving business impact.Technical Skills: Proficiency in Python, Power BI, SQL, and data manipulation tools; experience with cloud platforms (Snowflake, AWS SageMaker, Azure AI) and MS Power Apps.Machine Learning: Skilled in a variety of machine learning techniques, including clustering, decision trees, neural networks, and natural language processing (NLP).Statistical Knowledge: Solid understanding of advanced statistical techniques and real-world application.Communication: Strong written and verbal communication skills, essential for translating complex analytics to stakeholders.Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field is preferred.Compensation:Competitive salary estimated between $150,000 - $170,000 USD, with potential for additional incentive compensation based on skills, experience, and location.This position offers a hybrid work environment, allowing for flexibility and collaboration. All qualified candidates are encouraged to apply, as our client is committed to creating an inclusive and supportive workplace for all team members.Ready to lead impactful data science projects with a forward-thinking team? Apply today to explore this exciting opportunity!

Quantitative Engineer in Finance AnalyticsAre you a skilled quantitative professional looking to elevate your career while shaping the future of financial analytics? We’re hiring a Quantitative Engineer, Finance Analytics – Director for an industry-leading commercial bank that values innovation, collaboration, and meaningful impact.Why This Role?This is more than a job—it's a chance to lead from the front. As the modeling expert within the Finance Analytics team, you’ll design and implement cutting-edge financial models that drive strategic decision-making and regulatory compliance. Starting as an individual contributor, you’ll lay the groundwork for building and managing a high-performing team of analysts and engineers.What You’ll Do:🔹 Model Development & ImplementationDevelop advanced CECL credit loss models for stress-testing, reserving, and underwriting.Personally code, test, and maintain these models to ensure they meet business and regulatory needs.🔹 Data Mastery & Workflow OptimizationCreate scalable data workflows using tools like Apache Airflow.Drive impactful business insights with advanced dashboarding tools like Tableau or Qlik Sense.🔹 Documentation & ComplianceProduce detailed reports and collaborate with risk management, audit, and regulatory teams.🔹 Stakeholder Collaboration & LeadershipBuild strong relationships across Finance, Risk, IT, and other business units.Help plan the vision and structure of a future team of quantitative professionals.What We’re Looking For:Experience:5+ years working with complex data systems (Oracle, SQL).5+ years in software/data engineering, especially within financial services.3–5 years in financial modeling or analytics roles.Technical Skills:Proficiency in Python, SAS, or R.Hands-on experience with cloud platforms like AWS, Azure, or GCP.Expertise in statistical modeling and machine learning techniques.Mindset & Core Competencies:Analytical thinker with a knack for problem-solving.Exceptional organizational and time management skills.Strong communication skills to bridge technical and non-technical teams.Preferred Skills:Background in full-stack development.Knowledge of CI/CD pipelines and best practices.Proven ability to gather and synthesize diverse data sources for actionable insights.Education:Bachelor’s, Master’s, or Ph.D. in Computer Science, Statistics, Data Science, or STEM fields. Alternatively, a strong Finance or Business background paired with technical expertise.🎯 Ready to Drive Change in Financial Services?Join a forward-thinking team that values integrity, innovation, and excellence. This is your opportunity to work on impactful projects, grow your career, and contribute to a dynamic industry.💼 Apply Now and take the next step in your journey!