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Senior Robotics Manipulation EngineerSalary: up to £125,000Location: 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 pioneering Level 4 certifiable autonomous driving solutions, tailored for public transport and designed with safety at the core. By leveraging cognitive intelligence and cutting-edge AI based on German research, we create autonomous systems that make logical, explainable decisions in complex road scenarios. Our mission is to enable sustainable, safe, and scalable mobility solutions, ensuring that autonomous technology can connect people everywhere—especially in rural areas and underserved communities. As a Reinforcement Learning Engineer, you'll be instrumental in advancing our unique decision-making framework based on cognitive neuroscience. Your expertise in inference-driven AI, probabilistic modelling, and goal-directed behaviour will help us develop explainable, adaptive systems for autonomous driving. Responsibilities: • Design and implement decision-making architectures based on Active Inference, Bayesian models, and reinforcement learning principles. • Develop generative models and inference-based systems to guide autonomous agents under uncertainty. • Integrate concepts from cognitive robotics, predictive coding, and goal directed behaviour into scalable autonomous driving modules. • Apply and extend the Free Energy Principle and planning-as-inference frameworks for real-world applications in perception and control. • Model and simulate agent-based, hierarchical inference systems to support adaptive, real-time decision-making. • Collaborate cross-functionally with neuroscience-inspired perception, planning, and systems teams to ensure coherence in cognitive modelling. • Analyse and validate behaviour of autonomous systems in both simulation and field test environments. Requirements: • Solid background in reinforcement learning, probabilistic inference, or computational neuroscience. • Experience with Active Inference, Bayesian inference, or hierarchical generative models. • Proficiency in Python (PyTorch, TensorFlow, or JAX), with the ability to implement and train complex inference systems. • Familiarity with decision-making under uncertainty, cognitive architectures, or embodied cognition frameworks. • Strong theoretical foundation in neuro-inspired AI, behavioural modelling, or theoretical neuroscience. • Experience integrating sensorimotor control, action selection, or adaptive control in real-time systems. • Background in robotics, autonomous agents, or AI planning systems is a strong plus. Note: Experience with interdisciplinary AI combining machine learning, neuroscience, and robotics is highly valued, but not strictly required. Why you should join us: • Work in an intellectually stimulating and innovative environment where you can take full ownership of your projects at every stage of development. • Enjoy flat hierarchies, an open culture, and fast decision-making processes. • Collaborate with a skilled and dedicated team eager to share their knowledge and expertise. • Be part of a multinational workplace that values diversity and integrates different backgrounds and perspectives. • Work in the vibrant heart of Berlin, in the dynamic Kreuzberg district

I'm currently supporting a well-backed SaaS scale-up on a mission to reshape how global companies navigate product compliance and market access — through applied Generative AI.They’ve already begun integrating LLMs and intelligent agents across their platform and are now hiring a Head of AI to lead this transformation into a fully AI-powered offering — moving from software-as-a-service to what they’re calling “results-as-a-service”.Here’s a snapshot of the opportunity:🔹 Build & scale an internal AI function — growing a high-performing team of engineers & scientists🔹 Drive vision & hands-on strategy across GenAI, NLP, data pipelines, and inference at scale🔹 Architect AI agents that automate complex regulatory tasks using varied unstructured data🔹 Collaborate directly with the CTO and cross-functional teams to deliver AI-driven product capabilities🔹 Be the internal champion of AI across the company, while shaping externally-visible thought leadership🧠 Ideal profile they’re looking for:15+ years of experience in Data Science / AI in commercial environmentsProven record of leading AI teams and scaling generative AI into productionStrong depth in ML, data engineering, and cloud-native architecturesProficiency with Python and modern ML libraries; experience with AWS is a plusAbility to set technical direction while remaining hands-on when needed💼 Remote-first (UK/Ireland)💬 Clear path to influence strategy at C-level with strong internal support for innovationIf this sort of challenge aligns with your experience — or if you'd be curious to explore it in more detail — feel free to send your CV/resume and we'll be in touch to discuss further!

I'm currently supporting a well-backed SaaS scale-up on a mission to reshape how global companies navigate product compliance and market access — through applied Generative AI.They’ve already begun integrating LLMs and intelligent agents across their platform and are now hiring a Head of AI to lead this transformation into a fully AI-powered offering — moving from software-as-a-service to what they’re calling “results-as-a-service”.Here’s a snapshot of the opportunity:🔹 Build & scale an internal AI function — growing a high-performing team of engineers & scientists🔹 Drive vision & hands-on strategy across GenAI, NLP, data pipelines, and inference at scale🔹 Architect AI agents that automate complex regulatory tasks using varied unstructured data🔹 Collaborate directly with the CTO and cross-functional teams to deliver AI-driven product capabilities🔹 Be the internal champion of AI across the company, while shaping externally-visible thought leadership🧠 Ideal profile they’re looking for:15+ years of experience in Data Science / AI in commercial environmentsProven record of leading AI teams and scaling generative AI into productionStrong depth in ML, data engineering, and cloud-native architecturesProficiency with Python and modern ML libraries; experience with AWS is a plusAbility to set technical direction while remaining hands-on when needed💼 Remote-first (UK/Ireland)💬 Clear path to influence strategy at C-level with strong internal support for innovationIf this sort of challenge aligns with your experience — or if you'd be curious to explore it in more detail — feel free to send your CV/resume and we'll be in touch to discuss further!

Our client, a ML Focused consultancy are looking for a German-speaking AI Engineering Consultant to join a fast-growing team in Basel and drive impactful AI transformations! (They also have a several ongoing projects in Zurich)🔥💡 Why this role?You’ll be at the forefront of AI & ML adoption, helping organizations design, build & scale ML solutions beyond prototypes. You won’t just write code—you’ll shape AI strategy, implement best practices, and enable teams to unlock the full potential of AI.🌍 Your impact:✅ Consult & Engineer: Work with cutting-edge ML, LLMs & Generative AI technologies to solve real-world challenges.✅ End-to-End AI Operations: Design & optimize data, model & code pipelines (DataOps, MLOps & DevOps).✅ Technical Leadership: Be a trusted advisor, shape solution blueprints, and drive AI engineering excellence.✅ Collaboration & Enablement: Work closely with teams to operationalize AI & ensure reliability, scalability, and automation.🔍 What you bring:🔹 3+ years of experience in ML, AI, or Software Engineering🔹 Hands-on expertise in ML models, LLMs, and Data/AI platforms (Snowflake, Databricks, etc.)🔹 Strong understanding of DataOps, DevOps, and MLOps best practices🔹 Passion for scaling AI beyond POCs & driving enterprise AI success

About the Role: We are building a world-class language engineering lab focused on developing memory-safe, high-performance system products for mobile, cloud, and telecom applications. Our work centers around advancing the use of Rust and exploring cutting-edge programming language features to drive safer, faster, and more concurrent systems at scale. We are looking for an experienced Researcher to help shape the future of programming language development and accelerate the adoption of Rust across a wide variety of technologies. This is a rare opportunity to work on large-scale, real-world engineering challenges, collaborating with some of the leading experts in the Rust community. You will be instrumental in designing next-generation programming language features and setting the technical direction for initiatives that will impact thousands of engineers worldwide. If you are passionate about programming languages, frameworks, and solving ultra-large-scale engineering problems, this is an exciting opportunity to make a global impact. Key Responsibilities:Lead the design and development of Proof-of-Concepts (PoCs) for next-generation Rust features aimed at mobile, compute, and embedded system challenges.Provide technical direction and guidance on the development of automated software engineering tools with a focus on Rust applications.Collaborate with internal stakeholders and research partners to drive innovation and adoption of advanced Rust capabilities.Desired Experience & Skills:PhD in Programming Languages, Operating Systems, Software Engineering, or a closely related field.Strong professional experience using Rust, with a focus on performance and safety.Deep expertise in the design, architecture, and implementation of programming language features.Extensive knowledge in:High-performance features of RustSafe migration strategies from C/C++ systems to RustRust applications for accelerators like GPU, TPU, and NPUStrong communication and leadership skills, able to guide technical direction and mentor colleagues.Flexibility to travel internationally (up to 10%).Why Join Us? You’ll be part of a forward-thinking team at the forefront of advancing system-level programming languages. Working on a wide variety of products, this role offers the chance to influence engineering practices across a major global organization and to contribute directly to the evolution of Rust and related tooling.