1 to 25 of 154 Algorithms Jobs in Berkshire

Develop and maintain data pipelines, data warehouses, and data lakes using tools such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Implement machine learning models and AI algorithms using frameworks like Azure Machine Learning, Microsoft Cognitive Services, and Databricks. Provide technical leadership and mentorship to junior consultants. Stay up-to-date with the latest trends and technologies in More ❯

across Liberty Global in order to jointly establish secure architectures and designs. Collaborate with the wider team to embed security controls and measures into AI/ML applications, models, algorithms, data and pipelines. Develop and drive the realisation of the Liberty Global technical security strategy Responsible for monitoring, driving and delivering security compliance during project lifecycles Structure, plan and deliver … with: Proven experience in Security Architecture or similar team(s), with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, best practices and standards, algorithms, models, frameworks, regulations and controls. Extensive experience in technical security controls, security principles, AI/ML pipelines and AI-/ML-ops, software engineering, DevSecOps, shift-left, cloud infrastructures and More ❯

Join Our Mission to Read the Web and Research Companies With AI Are you a curious and ambitious Computer Science graduate or a person with 1-2 years of work experience looking to launch your career in AI and data More ❯

solutions Write and maintain clear, concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Mastery of modern web technologies & Javascript is essential: React, CSS, Node, Angular, etc. Proficient in at least one all purpose imperative language: Python (ideal), Java, C++ More ❯

native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving: Strong analytical More ❯

you. Role We are developing adversarial tests for Large Language Models (LLMs). We are looking for a passionate, talented, and innovative applied scientist with a strong background in algorithms to help build an industry-leading evaluation engine for LLMs and help us bring this to market. As one of our first hires this is a high-impact and high … systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline and A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation More ❯

you. Role We are developing adversarial tests for Large Language Models (LLMs). We are looking for a passionate, talented, and innovative applied scientist with a strong background in algorithms to help build an industry-leading evaluation engine for LLMs and help us bring this to market. As one of our first hires this is a high-impact and high … systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline and A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation More ❯

quantitative discipline such as statistics, mathematics, physics, or computer science Intermediate skills in at least one programming language such as C, C++, Java, or Python Understanding of machine learning algorithms Experience with applied machine learning to real-world datasets Published your academic work in journals Finance experience preferred but not essential A generous total compensation package is on offer with More ❯

Requirements Strong Python skills (or equivalent OO/Functional language experience) Degree in Computer Science, Physics, Engineering, Mathematics or similar Experience with high-availability financial systems Solid understanding of algorithms, data structures, and design patterns Knowledge of messaging middleware and TCP/IP networking Front office trading experience (FX/Fixed Income/Derivatives preferred) Agile development experience (SCRUM, XP More ❯

of automated trading. Collaborate with brilliant minds to create and launch game-changing software that powers our systematic FX trading strategies. Your work will blend cutting-edge tech, complex algorithms, and real-time data to redefine the future of trading. Your Mission Architect, develop, and deploy sophisticated software solutions that supercharge automated trading systems Work side-by-side with Quantitative More ❯

Spark, or Kafka - advantage − Familiarity with data warehousing solutions and cloud data platforms. − Background in building applications wrapped around AI/LLM/mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence/Machine Learning, with a steep learning curve and More ❯

experience (may include graduate studies in computer science or related technical fields) with increasing scope in developing and implementing ML solutions Thorough understanding of CS fundamentals including data structures, algorithms, and complexity analysis Strong software development experience through hands on coding Detailed knowledge of modern deep learning concepts, including but not limited to Generative AI (GenAI) models, FCN, CNN, RNN More ❯

Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services More ❯

Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services More ❯

to-image and 3D/graphics tasks . Collaborate with 3D graphics and rendering teams to integrate AI models into interactive applications and pipelines. Prototype, benchmark, and productionize new algorithms that advance real-time generative AI for both 2D and 3D content. Research and experiment with emerging techniques to keep our technology at the cutting edge. Work cross-functionally to More ❯

impact environment. The ideal candidate 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 content. Implement and refine AI More ❯

impact environment. The ideal candidate 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 content. Implement and refine AI More ❯

Data Scientist - Marketing/Customer Analytics Reading – Hybrid (3x per week in office) Up to £60,000 + Benefits About the Role A leading research and insights company is looking for a Data Scientist to join their growing team. With More ❯

Join to apply for the AI Developer Technology Engineer role at NVIDIA Join to apply for the AI Developer Technology Engineer role at NVIDIA Get AI-powered advice on this job and more exclusive features. NVIDIA is looking for a More ❯

comprehensive roadmap for a sophisticated, real-time pricing and forecasting solution Collaborate closely with stakeholders to align pricing models with business objectives Review and implement advanced mathematical models, optimisation algorithms, and machine learning techniques to predict demand, optimise pricing, and maximise revenue Leverage historical, geographic, economic, and market data to create a robust pricing strategy Coordinate with the group architecture … AI solutions are robust, explainable, and compliant with data security and privacy regulations Use AI to integrate real-time data feeds (competitor analysis, customer traffic, events, capacity) into pricing algorithms to dynamically adjust pricing Develop key metrics to evaluate the impact of pricing strategies and identify areas for improvement Stay ahead of emerging trends in AI and pricing, bringing innovation … knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch), cloud platforms (AWS, GCP, Azure), and big data tools (e.g., Spark, Hadoop) Experience designing and/or implementing business-critical operational algorithms Clear communication skills; experienced in communicating with senior stakeholders and translating complex technical solutions into business impact Excellent problem-solving and project management skills A strategic, commercially focused mindset with More ❯

experiments, and testing hypotheses, all while enjoying the dynamic "skunk-works" environment! You'll be an integral part of our team, contributing to optimising processes, leveraging new tools and algorithms, and creating visualisations to monitor key metrics! Your documentation skills will ensure that projects are well-documented and progress is tracked efficiently. This role promises a blend of creativity, teamwork … Identify and implement innovative solutions based on client needs and market trends. Collaborate with the team to code essential systems, run experiments, and test hypotheses. Apply new tools and algorithms to optimize existing processes and enhance functionality. Create visualizations to track and monitor key metrics and project progress. Document projects thoroughly to ensure efficient tracking and future reference. Engage in More ❯

Do Work on high-impact 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 of AI innovation Access to More ❯

creation, and idea validation. Drive end-to-end development of AI features and projects. Build proof-of-concepts using Deep Learning and traditional Data Science approaches. Develop and optimize algorithms for real-world applications. Work in a diverse, collaborative environment while ensuring compliance with QHSE and governance policies. Discover the Requirements Bachelor’s degree in Artificial Intelligence, Data Science, Computer More ❯

Lead or hands-on Engineering Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. More ❯

and scalable code. Proven experience in the high-frequency trading (HFT) industry, with a deep understanding of the unique challenges and requirements of this fast-paced environment. Expertise in algorithms and data structures, with the ability to design and implement complex solutions to optimise performance and efficiency. Excellent problem-solving skills, with a track record of identifying issues, analysing root More ❯