9 of 9 Machine Learning Jobs in Brighton

practices, and the prioritization of tasks and projects. Disclaimer: Although working on financial forecasting models is part of the responsibilities, this is not a machine learning position. Advanced predictive models could be of interest in the future, but they are not a priority now. ...

infrastructure components, data pipelines, and custom data apps. Common operational visibility of the data platform from data platform infrastructure to data pipelines, machine learning apps. Assisting client application developers and advising on efficient data access and manipulations. Defining and implementing efficient operational processes. What We Need From ...

agentic systems, working in cross-functional teams to ensure product reliability and effectiveness. The ideal candidate will excel in designing and shipping ML systems and have strong skills in Python, PyTorch, and other relevant tools. This hybrid position allows flexibility, with regular travel to Bright office required. #J-18808-Ljbffr ...

seamless integration across complex real‐time systems. Drive R&D initiatives to evaluate and implement cutting‐edge animation technologies (e.g., advanced Motion Matching, machine learning/AI animation, next‐gen physics). Partner with Engineering and Tech Animation leadership to implement project‐wide animation roadmaps and toolsets. Solve ...

genuinely curious about both. Full-stack is the destination, not the entry requirement - we back that with a dedicated L&D budget, protected learning time, and the Community of Technical Practice to help you grow into the parts you haven't done before. If you're an analyst … wider Data & Analytics function through our Community of Technical Practice, where you'll level up, share what's working, and pull in deeper ML, engineering or commercial depth when your squad's problem demands it. What you will be doing Be the data voice in your squad. Bring data into ...

technologies and code. Ability to work independently and efficiently under deadlines. Effective communicator and collaborator across multi‐disciplinary teams. Highly Desirable Experience with machine‐learning‐driven animation techniques (e.g. motion matching, learned pose generation). Experience with Control Rig, IK Rig, and Motion Warping. Experience with new features ...

more of the following areas, Inverse Kinematics techniques, Ragdoll and physics-based character animation, Procedural animation techniques, Keyframe animation and forward kinematics, Machine learning driven animation techniques Hangar 13 prides itself on the diversity of its team members, partners, and communities. For this reason, we remain committed ...

functional teams. We deliver against quarterly OKRs, own our work end to end, and put collaboration at the heart of how we operate. Strong ML experience, hands-on NLP and production experience with agentic AI are essential. Our stack includes AWS, Python, PyTorch, Docker, LangChain/LangGraph and Langfuse. Experience … data governance and documentation Working closely with engineering, data and product teams, and mentoring others Skills and experience Extensive experience in data science and ML, including hands-on delivery of LLM-powered and agentic systems running in production at scale Works AI-natively day to day, using AI tools ...

with web crawlers, data acquisition, or distributed data-processing systems. Experience with cloud infrastructure and Infrastructure as Code, particularly GCP and Terraform. Familiarity with ML training data, dataset quality, or audio processing. What We Offer A dynamic environment where your contributions shape the company and its products A team that … atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Speechify ...