1 to 25 of 74 Algorithms Jobs in Liverpool

MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source models More ❯

API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor the team (including contractors) to improve development standards. Work with Business Analysts to deliver More ❯

will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio More ❯

Proficient in designing, coding, and optimizing generative AI models, including prompt engineering for LLMs like GPT and BERT. Deep understanding of AI/ML algorithms, model optimization, and deploying scalable solutions in cloud environments. Experience with version control (Git), Linux, Docker, and data engineering tools such as Hadoop, Spark, and More ❯

evaluation. Assess machine learning solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. Deliver data science projects that drive business benefits and competitive advantage. Conduct ad-hoc analysis to predict, measure, and More ❯

AI projects with real-world applications Collaborate with a team of elite scientists and engineers Contribute to the development of cutting-edge models and algorithms Help shape the future of AI in a fast-paced, intellectually stimulating environment Why Join? Be part of a world-class team at the forefront More ❯

trials and internal research studies. Using machine learning tools and statistical techniques to provide novel solutions to problems. Providing expertise in the creation of algorithms and machine learning models to support clinician use cases and improve clinical outcomes for patients Exploring and investigating potential sources of data. Designing and iterating More ❯

into clear, actionable insights that power better outcomes. Apply advanced statistical and machine learning methods to complex business problems Build and maintain decision science algorithms to support commercial strategies Deliver compelling insights to stakeholders, clearly communicating technical outputs Ensure data quality and integrity throughout all analysis projects Document processes to More ❯

as Python, Java, or C++. Knowledge of AI and machine learning libraries/frameworks like TensorFlow, PyTorch, or scikit-learn. Solid foundational knowledge of algorithms, data structures, and machine learning principles. Strong analytical and critical thinking skills. Ability to work effectively in a team environment and collaborate with cross-functional More ❯

and implement software solutions, troubleshoot technical challenges, and think creatively to solve complex problems Write secure, efficient, and production-ready code; maintain performance-driven algorithms Create architectural and design documents for complex applications; ensure code aligns with design principles Analyze and synthesize data sets to create visualizations and insights that More ❯

analysis on our customer base and formulate either pricing strategies or commercial strategies to optimise revenue. • Deliver insights to drive business decisions and design algorithms that can be used to improve either our pricing or operational strategy. • Develop an excellent understanding of relevant internal and external data sources. • Work together More ❯

models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: • Conduct and publish cutting-edge AI/ML research • Design algorithms for chip optimization and intelligent systems • Collaborate with engineering teams to integrate AI into real-world tools • Stay current on AI trends and contribute to More ❯

risk systems to proactively detect/resolve data issues Skills Required: Bachelor’s degree in computer science or equivalent degree Experience with machine learning, algorithms, strategy development, or real-time trading development Outstanding benefits package on offer to support you both professionally and personally. These benefits include generous medical coverage More ❯

Deep knowledge of any; VPU/NPU/GPU/CPU/TPU architecture ML frameworks - Tensorflow/PyTorch/Python or similar DSP algorithms - FIR/IIR filters or FFT... low-power, performance and optimisation Applicants must have UK/EU/France working rights - NO sponsorship can be More ❯

date with the latest trends in machine learning and crypto technologies. Requirements: Proven experience as a Machine Learning Engineer, with a strong understanding of algorithms and data modelling. Experience in Python, TensorFlow, or similar frameworks. A passion for cryptocurrency and blockchain technologies. Strong problem-solving skills and the ability to More ❯

based in Costa Rica. What You’ll Be Doing: Develop, structure, and maintain robust datasets for machine learning workflows. Create and deploy high-performance algorithms and predictive models for sports modeling initiatives. Collaborate with data scientists, developers, and domain experts to solve real-world problems and optimize outcomes. What You More ❯

experience Strong grasp of systems programming concepts: memory management, concurrency, multithreading Solid experience with PostgreSQL and working with large-scale datasets Strong knowledge of algorithms, data structures, and software design principles Proficient with debugging, performance tuning, and profiling tools Clear communication skills with a proactive, team-oriented mindset Experience across More ❯

Design and develop code analysis software for large scale cloud deployments Make improvements to general analysis infrastructure Improve existing and develop new code analysis algorithms and techniques Research security defects, create analysis rules (in Rust) for detecting these defects, test and evaluate the results Key Qualifications Experience in C/ More ❯

and issues. Required experience: Degree in Computer Science or similar Experience in graphics programming for game development Strong C++ experience Strong understanding of rendering algorithms, shaders, and graphics hardware architecture Excellent problem-solving and debugging skills Benefits: Remote and Hybrid Working Company pension at 4% of annual salary 26 days More ❯

login/join with: We are working with an exciting Tech company who are seeking a Full Stack Data Scientist to join their Forecasting Algorithms team. The company's aim is to use cutting edge Machine Learning techniques to influence decision making in the hospitality and transportation spacce. You’ll More ❯

and analytics that provide actionable insights into improving PnL. Responsibilities: Implement trading strategies and execution performance across various asset classes. Implement statistical models and algorithms, Collaborate with traders and quantitative researchers to identify areas for improvement. Provide quantitative development expertise and support to traders and portfolio managers on all front More ❯

to clients in robotics, intralogistics, & warehouse automation. Responsibilities as Lead Research Engineer (SLAM/State Estimation) : Design & develop state-of-the-art SLAM & perception algorithms for high-performance localisation, mapping, & scene understanding. Create high-quality Spatial AI systems that enable real-world applications. Collaborate closely with Product teams to turn More ❯

teams will be essential to transform insights into impactful, data-driven strategies. ESSENTIAL SKILLS: Strong understanding of core data science methodologies, including machine learning algorithms and statistical analysis Passion for collaborating with non-technical teams and fostering a culture of scientific rigor Experience contributing to data science projects within cross More ❯

Spark, or Hadoop Experience with Docker and Kubernetes Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK Understanding of machine learning algorithms and data science workflows Proven ability to deliver end-to-end data solutions Knowledge of Terraform, Ansible, or similar IaC tools Interested? If you're More ❯

the integration of AI, robotics, and engineering teams to deliver high-impact autonomous robot systems. Solid background in computer science fundamentals, including data structures, algorithms, system design, deep learning, and probability theory, applied to real-world robotics challenges. Comprehensive knowledge of Robotics Navigation, Perception, and Reasoning, with the ability to More ❯