1 to 25 of 36 Algorithms Jobs in Bedfordshire

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 ❯

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 ❯

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 More ❯

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 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 ❯

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 ❯

to firmware design (e.g., RTCA DO-254 or similar) Knowledge of cryptography and anti-tamper techniques Understanding of artificial intelligence, machine learning, and genetic algorithms Electronics test methods and equipment Good verbal and written communication skills Experience working in multidisciplinary teams HNC/HND or Undergraduate Degree in Electronic Engineering More ❯

requirements A structured approach to firmware design (RTCA DO-254 or similar) Cryptography and anti-tamper techniques Artificial Intelligence including machine learning and genetic algorithms Electronics test methods and equipment Good verbal and written communication skills Working in mixed discipline teams HNC/HND or Undergraduate Degree (Electronic Engineering, Computer More ❯

structured approach to FPGA/firmware design (RTCA DO-254 or similar) Cryptography and anti-tamper techniques Artificial Intelligence including machine learning and genetic algorithms Electronics test methods and equipment Good verbal and written communication skills Working in mixed discipline teams HNC/HND or Undergraduate Degree (Electronic Engineering, Computer More ❯

Cost and functional performance trade-offs Upgrading in-service equipment Designing and integration of new functionality Designing and prototyping of detailed system models Prototyping algorithms Investigating the cause of anomalies observed during integration or evaluation activities Integration and testing activities Lead identification of risks and mitigation strategies including opportunities, using 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 ❯

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 ❯

system requirements A structured approach to firmware design (RTCA DO- or similar) Cryptography and anti-tamper techniques Artificial Intelligence including machine learning and genetic algorithms Electronics test methods and equipment Good verbal and written communication skills Experience working in mixed discipline teams HNC/HND or Undergraduate Degree in Electronic More ❯

in Python and SQL for data analysis and model development. Experience with pricing models, actuarial techniques, or risk modeling. Deep understanding of machine learning algorithms, predictive modeling, and statistical analysis. Hands-on experience in automating and deploying machine learning models. Proven ability to translate complex data into actionable pricing insights. 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 ❯

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 ❯

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 ❯

proactive and require minimal supervision or mentoring to complete tasks Review specifications produced by architects and formal methods specialists Contribute to the design of algorithms Write clean, straightforward, efficient code that satisfies previously agreed acceptance criteria and specifications Commit often and submit small pull requests frequently Cover your code with More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

company, team or client approaches to continuous integration, version and source control Communicate software solutions and ideas to technical and non-technical stakeholders Apply algorithms, logic and data structures Interpret and implement a given design whist remaining compliant with security and maintainability requirements Skills and Desirable Experiences: Basic understanding of More ❯