16 of 16 Algorithms Jobs in Northampton

commercial people. BSc or a 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 like GPT-4 and Claude. 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 ❯

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 ❯

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 ❯

we do? Snap Finance UK is a rapidly growing FinTech company focused on digital disruption and inclusivity in the financial services industry. Snap’s proprietary technology platform and decisioning algorithms are changing the face and pace of consumer retail finance. Our use of technology has been recognised and Snap has recently been awarded the UK's Best Use of Technology More ❯

areas such as large language 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 open research Requirements: • PhD or More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate More ❯

Social network you want to login/join with: Hiring for a global leading hedge fund based in London who apply a quantitative and systematic approach to investment management, which is heavily reliant on technology. You will be working within More ❯

to work on highly impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for machine learning models. Design and implement automated algorithms and advanced machine learning tools. Collaborate with a cross-functional team to solve complex problems and drive innovation. Skills & Qualifications Solid experience with machine learning , particularly with neural networks . More ❯

experience. You’ll benefit from collaborating with industry leaders and experts within a vast professional network. Key Qualifications: Experience with systems architecture, cloud computing, machine learning, and deep learning algorithms, capable of tailoring solutions to data and technology challenges. Proficiency with cloud platforms like AWS, Azure, or GCP. Ability to communicate technical concepts effectively to both technical and non-technical More ❯

using complex models to provide insights, utilizing tools like M&T techniques to combine volume inputs (fiscal supplies, PPA, onsite generation) to identify opportunities, and developing analytical models with algorithms in Matlab and other systems are also key responsibilities. The analyst will collaborate with the trading desk on risk management performance, hedging reviews, volume tolerance analysis, and other reports. Managing More ❯

programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. Knowledge of machine learning algorithms and experience in deploying models in production. In-depth understanding of Azure services and capabilities related to data and AI. Ability to analyse complex problems and develop innovative, scalable solutions. More ❯

campaign effectiveness through effective workforce planning and system management. Key Responsibilities: Configure and maintain outbound dialler systems (Predictive, Preview, Power). Monitor real-time dialler performance, adjusting pacing and algorithms to optimise efficiency. Manage software updates, patches, and upgrades, and resolve any dialler-related technical issues. Work closely with IT dept and external vendors to address system outages and implement More ❯

Data-driven mindset with solid analytical skills Excellent communication and stakeholder management abilities Comfortable working in fast-paced, evolving environments Nice to Have Technical background or familiarity with advertising algorithms (e.g. CPC/CPA models) What’s on Offer Salary up to £70,000 DOE Equity in a scaling business 25 days holiday + bank holidays + birthday off #J More ❯