7 of 7 Machine Learning Jobs in Watford

translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. Key Responsibilities AI Research and Model Development Conducting research in AI, using a full range of machine learning … and optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and … discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning and generative AI. Publishing research findings in internal reports and industry More ❯

translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. In this role your key responsibilities will include: AI Research and Model Development Conducting research in AI, using a full … range of machine learning and GenAI techniques to develop solutions across the entire HR lifecycle. Designing and optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including … discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning and generative AI. Publishing research findings in internal reports and industry More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

What Will Give You A Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar More ❯

insightful pre-race planning, split-second identification of pivotal strategy inflection points during live race events. What You’ll Do Evolve existing AI/ML models for application in Sportscars: refining existing python code-base where appropriate and reimagining where necessary. Develop platform for running and interrogating Mote Carlo free … Work with teammates supporting other racing series to apply analysis techniques and modeling approaches to other series to validate processes and refine models. Transfer learning and approaches between the series in which GM Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s … models and performing analysis to drive strategy decisions during live race events. Proficient programing in Python, MATLAB, or similar language. Familiarity with AI/ML modeling techniques and methods being developed and applied across industry. Strong organization skills, forward thinking mentality, and a superb attention to detail. Well-developed interpersonal More ❯

earning potential and job security. Flexible working opportunities within the industry. Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

Testing, Terraform, Docker, MongoDB, PostgreSQL You will be working for an exciting EdTech startp of which, has an ambition to revolutionise education by harnessing ML powered tutoring. They are looking for someone that has real passion for what they do and doesn't just see it as a job. They … and testing pipelines to support system stability. Research and make decisions about the technological stack and system design, considering all trade-offs. Work on ML model development Analyse large amounts of data and build real-time systems. Scale backend and web frontend development teams. Work in a very cross-functional … team, side by side with mobile developers, product managers, ML engineers, and designers. Skills & Experience required: Build high-load applications from scratch. Deep knowledge of AWS. Architecture planning Estimation skills Clean code practices. Architecture scalability and simplicity. CI/CD automation pipelines. Proficiency with Terraform and Docker. Ability in resolving More ❯