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Software Control & Teleoperation Engineer – Advanced Robotics Location: UK or Europe (Hybrid / Remote) Employment Type: Full-time About the Company Our client is a cutting-edge robotics company developing next-generation humanoid and intelligent automation systems. Their mission is to advance human capability and efficiency through safe, scalable, and high-performance robotic platforms that integrate seamlessly into industrial and commercial environments. This is an exciting opportunity to work on real robotic hardware and develop the systems that enable intuitive, precise, and reliable teleoperation and control — contributing to one of the most technically ambitious robotics projects in the world. The Role As a Software Control & Teleoperation Engineer, you’ll be responsible for designing, developing, and optimizing real-time control systems that bridge human operators with robotic systems. You’ll work at the intersection of software, hardware, and human interaction, ensuring responsive, safe, and intuitive teleoperation of advanced robotic platforms. Key ResponsibilitiesDevelop real-time teleoperation control algorithms including inverse kinematics and remote trajectory generation.Design and implement low-latency control pipelines for highly responsive operation.Create semi-autonomous control features blending human input with AI assistance for improved precision and ergonomics.Integrate and fuse sensor data to build intuitive visualization tools for remote operation.Implement robust fail-safe mechanisms (e-stop protocols, signal loss recovery, and fault handling).Conduct system stress and performance testing to ensure high reliability.Collaborate with cross-functional control, perception, and hardware teams to integrate teleoperation features into the broader robotic system.About You3+ years of experience in robot control, teleoperation, or real-time systems.Strong proficiency in C++ and Python for control software development.Solid understanding of robot kinematics, dynamics, and motion control.Experience working directly with robotic hardware in a lab or production setting.Familiarity with ROS 2 and real-time communication protocols.Knowledge of sensor fusion and visualization for remote or semi-autonomous control.Experience designing robust and modular software architectures.Strong debugging and system optimization skills.Nice to HaveExperience working with humanoid or dexterous robotic systems.Familiarity with haptic feedback and user-interface integration.What’s on OfferCompetitive salary and flexible working arrangements.23 days paid vacation per year (or regionally equivalent).Dynamic startup-style culture emphasizing innovation and autonomy.Opportunity to work with cutting-edge technology across AI, robotics, and real-time control domains.

Deep Learning Engineer – Advanced Robotics & VLM/VLALocation: Flexible / Remote (UK or Europe preferred) Employment Type: Full-timeAbout the CompanyOur client is an ambitious AI and robotics company developing next-generation humanoid systems designed to transform how intelligent automation supports industrial and everyday environments. Their mission is to advance human potential through robotics that are scalable, safe, and capable of performing complex real-world tasks. This is a rare opportunity to work at the intersection of deep learning, multimodal AI, and robotic embodiment, helping shape the foundations of a truly intelligent automation platform. The Role As a Deep Learning Engineer, you’ll design and train large-scale models that power robotic control and perception — from foundational representation learning to behaviour cloning and reinforcement learning. You’ll work across the full data-to-deployment lifecycle, experimenting with cutting-edge multimodal architectures and building robust pipelines for high-performance, real-time systems. Key ResponsibilitiesDevelop and train deep learning models for manipulation, navigation, and general policy learning.Collaborate with teleoperations and simulation teams to define data collection goals and bridge the sim-to-real gap.Train and fine-tune multimodal LLMs, VLMs, and VLAs, integrating diverse sensory modalities (vision, audio, proprioception, LiDAR, etc.).Build scalable data pipelines for continuous ingestion, curation, weak supervision, and retraining.Partner with MLOps and infrastructure teams to enable distributed training and optimize models for real-time deployment.Contribute to shaping the next generation of embodied AI systems for safe, efficient automation.About You3+ years of experience building and deploying deep learning systems (industry or research).Strong proficiency in Python and PyTorch or JAX.Hands-on experience with LLMs, VLMs, or generative models for image/video.Deep understanding of training infrastructure (streaming datasets, checkpointing, distributed compute).Strong communicator with clear experiment documentation and the ability to explain complex technical decisions.Bonus PointsExperience in robotics, autonomous driving, or other embodied AI domains.Background in reinforcement learning (PPO, DPO, SAC, etc.) or RL for LLMs.Experience optimizing deep nets for production (latency, telemetry, on-device inference).Publications at top-tier ML conferences (ICLR, NeurIPS, ICML) or significant open-source contributions.Familiarity with OpenVLA, π models, or similar embodied AI frameworks.What’s on OfferCompetitive compensation including stock options.Flexible remote-first setup with opportunities for international collaboration.Work with world-class researchers and engineers building truly transformative technology.A fast-paced, innovation-driven culture where ideas move quickly from concept to prototype.

Lead Speech Research Scientist (ASR/TTS) London preferred | Remote considered | Visa sponsorship availableWe’re collaborating with a growing AI company developing advanced conversational technologies that power intelligent voice and chat systems for global enterprises. This is a senior research and leadership role for someone with deep expertise in ASR, TTS, and related speech–language technologies. You’ll head a high-impact research group, working directly with company leadership to define research priorities, guide technical direction, and translate innovations into production.Key Responsibilities:Lead applied research and development in speech recognition, speech synthesis, and conversational AI.Define the research roadmap and ensure alignment with strategic and product goals.Mentor and grow a team of researchers, fostering collaboration and innovation.Translate real-world product challenges into clear research objectives and milestones.Oversee data strategy, evaluation metrics, and system performance.Collaborate closely with product and engineering teams to deploy research outcomes.Represent the team externally through papers, conferences, and community engagement.What We’re Looking ForPhD (preferred) or Master’s in Speech Technology, Computer Science, or related field.Proven expertise in Automatic Speech Recognition (ASR) and/or Text-to-Speech (TTS).3+ years of applied research experience in speech or language AI (industry or academic).2+ years leading or mentoring research teams or projects.Strong programming skills in Python, with deep learning experience using PyTorch.Practical experience taking models from research to production environments.Bonus SkillsExperience with multilingual or low-resource speech systems.Familiarity with LLM integration into conversational pipelines.Strong engineering foundations (Git, Docker, CI/CD).Publications in major speech or AI conferences (e.g., Interspeech, ICASSP, NeurIPS).This is a key hire in a company entering an exciting growth phase — an opportunity to shape the future of speech and conversational AI while leading a talented, expanding research team.

For an AI led start-up in London, we are currently looking for a senior AI product lead that could align well with your background. The company is building AI-powered automation for the property sector and is looking for a Product Leader to take the platform from early traction to scalable growth. They’re open to someone who has founded and built a product before, ideally with experience as a CPO or senior PM in a tech-first setting. Exposure to agentic or generative AI would be ideal, and property experience would be a strong plus. Someone who has owned end-to-end product delivery for AI-driven products, especially those involving LLMs, agentic systems, or automation workflows, would be a great fit. They should understand both the technical capabilities (how AI models are built, trained, and deployed) and the commercial implications (how to turn those capabilities into value for users). Key responsibilities: • Define and own the product roadmap to drive scalable growth. • Launch high-impact AI features such as chat, document extraction, or workflow automation. • Translate customer insights into data-driven strategy and prioritisation. • Align engineering, design, and GTM to accelerate delivery and adoption. • Refine pricing, positioning, and product-market fit as the product scales. It’s a strong opportunity for someone who blends AI product vision with startup execution. Feel free to reply with your updated CV if you feel you are a good fit for this role!

We’re looking for an AI Engineer to join a fast-moving team in London that’s transforming how property management operates. This isn’t a maintenance role it’s about taking ownership of cutting-edge AI systems from research to production. 🎯 Your first 3–6 months You’ll be driving product–market fit for an AI-driven compliance automation product. Expect hands-on model experimentation, fine-tuning, and deployment, working alongside talented Backend, Frontend, and DevOps teams already in place. 🔥 What comes next From Q1 to Q3, your scope will expand to build and productionise AI features across maintenance and lettings. By month 12, success means: • High adoption of the compliance product with measurable accuracy gains • Core models live in production with real performance impact • You taking the lead on AI direction, moving toward a leadership position within 12–18 months 💡 What you’ll bring • 2–3+ years of hands-on ML/AI experience (LLMs or NLP preferred) • Proven ability to take models from research to production • Solid Python and ML frameworks background • Top-tier academic record Bonus if you’ve worked with property data, PMS integrations, or tools like LangChain or RAG systems. 💰 Why join Competitive pay plus equity. Clear path to technical leadership. Immediate impact on the roadmap. If you feel you are a good fit for this, feel free to respond with your most up to date CV and I’ll be in touch to discuss further.